Unveiling the affecting mechanism of digital transformation on total factor productivity of Chinese firms

The importance of digital transformation (DGT) for increasing productivity cannot be negated and Chinese firms are rapidly embracing the digital transformation for their sustainability. But the mechanism and impact of digital transformation on total factor productivity (TFP) of firms is still unclear and this study is intended to fill this gap using the data of 3112 listed firms of China during 2011 to 2022. We applied various econometric techniques like stepwise regression analysis, instrumental variable approach, differences in difference approach, and mediating analysis to determine the relationship between digital transformation and TFP and robustness of estimated findings. The findings indicate that DGT has a positive impact on overall TFP of firms in China while operating efficiency, cheaper costs, and a stronger capacity for innovation mediates this relationship. Moreover, it is explored that conventional information and communication technologies have not significant impact on TFP of firms. The findings of the study remain valid even applying many robustness checks and attempts to control the issue of endogeneity. To fully leverage the potential benefits of digital transformation on TFP, it is essential to focus on enhancing digital literacy and skills among the workforce. Governments and relevant stakeholders should prioritize and invest in comprehensive digital literacy and skills training programs to empower the workforce with the knowledge and expertise needed to navigate the digital age effectively.

Can the integration of sports and health industries drive the upgrade of the sports industry?-An empirical study based on Chinese-style modernization

BACKGROUND

In the course of China's modernization, the sports industry's advancement plays a dual role in enhancing national health and driving economic transformation. The integration and coalescence of the sports and health sectors have emerged as pivotal avenues for the structural elevation of China's sports industry. Hence, empirically scrutinizing the influential mechanisms and outcomes of sports and health industry integration on the sports industry's structural enhancement holds substantial practical significance.

METHOD

This study formulates theoretical hypotheses regarding the impact mechanism of sports and health industry integration on the sports industry's sophisticated industrial structure. Drawing insights from literature review and categorization, three dimensions-industrial integration, government role, and market mechanism-are delineated. Employing panel data spanning 2015 to 2020 from four primary Chinese cities, an econometric model is devised to empirically dissect the influence of sports and health industry integration on the sports industry's structural advancement.

FINDINGS

The three pivotal explanatory variables-integration of sports and health industries, government role, and market mechanism-exert a positive influence on the sports industry's sophisticated industrial structure. Notably, the impact of market mechanisms outweighs that of government roles, with government roles exhibiting comparatively weaker individual impact effects.

CONCLUSION

The dynamic development process characterizing the structural advancement of China's sports industry in first-tier cities exhibits positive and sustained developmental traits, with discernible convergence in trends. While market mechanisms demonstrate a more immediate and pronounced direct promotional effect than government roles, the enduring influence of government roles over an extended timeframe is evident from a dynamic long-term development perspective. Building upon these findings, the study suggests relevant stakeholders foster advanced sports industry structures by: refining the integration system of sports and health industries; fortifying the fundamental role of market mechanisms; and fully leveraging the government's impact in promoting sports and health industry integration.

Interactive monitoring dashboards for the COVID-19 pandemic in the world anticipating waves of the disease in Brazil with the use of open data

OBJECTIVE

Describe the development, implementation, and utilization of dashboards for epidemiological analysis through open data research during the COVID-19 pandemic.

METHODS

The dashboards were designed to analyze COVID-19 related public data from various sources, including official government data and social media, at world level. Data processing and cleaning techniques were used to join datasets. We calculated Spearman correlation coefficient between the COVID-like symptoms data of the University of Maryland and Facebook Health research, called COVID Trends and Impacts Survey (CTIS) and the official data of notified COVID-19 cases by the Brazilian Health Ministry.

RESULTS

The dashboards were successful in predicting the onset of new waves of COVID-19 in Brazil. The data analysis revealed a correlation between the CTIS and the official number of cases the country. This article shows the potential of interactive dashboards as a decision-making tool in the context of public health emergencies, as it was used by the official communication of the Rio Grande do Sul state government.

CONCLUSION

The use of dashboards for predicting the spread of COVID-19 in Brazil was a useful tool for decision-making. To anticipate waves of the disease gives time so that these decisions can be potentially more assertive. This drafts the need of more interdisciplinary actions of this nature, with visualization tools on epidemiologic research.

Climate finance and women-hunger alleviation in the global south: Is the Sub-Saharan Africa case any different?

To unearth the influence of climate finance (CF) on women-hunger alleviation in Sub-Saharan Africa (SSA), the study used unbalanced panel data for 43 SSA countries for the period 2006-2018. Data was analysed using system-GMM to deal with the endogeneity problem inherent in the model, among other panel regression estimators. Also, the sensitivity of the estimates was carried out using panel fixed effect quantile regression. The findings showed that CF and its components have a significant effect on women-hunger alleviation in SSA, apart from FDI. Further, control of corruption also showed a significant women-hunger alleviation impact. For the climate variables, areas in SSA with higher temperature are more likely to experience worsened women-hunger. Based on the findings, the study recommends that SSA countries need to strengthen their fight against corruption. More so, donors should extend CF as financial aid or support to government budget, due to their potential of alleviating women-hunger.

Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments' carbon reduction policies

Across the globe, governments are developing policies and strategies to reduce carbon emissions to address climate change. Monitoring the impact of governments' carbon reduction policies can significantly enhance our ability to combat climate change and meet emissions reduction targets. One promising area in this regard is the role of artificial intelligence (AI) in carbon reduction policy and strategy monitoring. While researchers have explored applications of AI on data from various sources, including sensors, satellites, and social media, to identify areas for carbon emissions reduction, AI applications in tracking the effect of governments' carbon reduction plans have been limited. This study presents an AI framework based on long short-term memory (LSTM) and statistical process control (SPC) for the monitoring of variations in carbon emissions, using UK annual CO2 emission (per capita) data, covering a period between 1750 and 2021. This paper used LSTM to develop a surrogate model for the UK's carbon emissions characteristics and behaviours. As observed in our experiments, LSTM has better predictive abilities than ARIMA, Exponential Smoothing and feedforward artificial neural networks (ANN) in predicting CO2 emissions on a yearly prediction horizon. Using the deviation of the recorded emission data from the surrogate process, the variations and trends in these behaviours are then analysed using SPC, specifically Shewhart individual/moving range control charts. The result shows several assignable variations between the mid-1990s and 2021, which correlate with some notable UK government commitments to lower carbon emissions within this period. The framework presented in this paper can help identify periods of significant deviations from a country's normal CO2 emissions, which can potentially result from the government's carbon reduction policies or activities that can alter the amount of CO2 emissions.

Have your say on Welsh government proposals

The Welsh government is calling for perspectives on the proposed Sustainable Farming Scheme and the licensing of animal welfare establishments, activities and exhibits.

Incentive policy for the comprehensive development of young medical talents: an evolutionary game study

Introduction

Currently in China, there is a lack of well-defined and viable incentive mechanisms at the governmental and hospital levels to support the development of young medical talents, thereby hindering their growth Existing studies primarily investigate the current state and trajectory of incentives, yet they inadequately address the distinctive characteristics of various stakeholders involved in medical talent incentive processes, particularly the lack of research on incentive mechanisms with Chinese attributes.

Methods

This study adopts evolutionary game theory to investigate the dynamics of replication and the strategies for achieving evolutionary stability in the comprehensive development of young medical talents, considering both scenarios with and without supportive policies.

Results

In the absence of any supportive policy measures, the evolutionarily stable strategy (ESS) point is O(0,0), the unstable equilibrium point is C(1,1), and the saddle points are A(0,1), B(1,0). The initial state of the system is at the unstable equilibrium point C(1,1), which means that the young medical talents and medical institutions adopt a combination of strategies (actively seeking comprehensive development and taking incentive measures). Under the scenario with supportive policies, the ESS point is C(1,1), the unstable equilibrium point is O(0,0), and the saddle points are A(0,1), B(1,0). The initial state of the system is at the unstable equilibrium point O(0,0), which means that young medical talents and medical institutions adopt (N,N) strategy combinations (inactively seeking comprehensive development, implementing no incentive measure).

Discussion

(1) Government incentives play a crucial role in motivating young medical talents to seek comprehensive development. (2) The level of government incentive support for young medical talents should exceed the cost increment of individual efforts. Additionally, the policy support provided by the government to medical institutions should surpass the incentive support offered by these institutions to young medical talents. This will enhance the motivation and encouragement efforts of medical institutions in actively promoting comprehensive development among young medical talents. (3) With the backing of certain government incentive policies, medical institutions implementing incentive measures and young medical talents actively seeking comprehensive development will establish a virtuous cycle of mutual promotion.

Financial sanctions and environmental, social, and governance (ESG) performance: A comparative study of ownership responses in the Chinese context

This study conducts a comprehensive examination of the relationships between strategic investors, financial sanctions, and ESG performance in non-financial Chinese firms from 2011 to 2022. Using data from ASSET4 and the Global Sanction Database (GSDB), the study reveals that government and foreign investors significantly promote ESG performance, while family investors have a negative impact. Moreover, the findings show distinct responses among government, foreign, and family investors when confronted with financial sanctions. Specifically, both foreign and family investors demonstrate an increased engagement in CSR activities during these periods. Conversely, government investors are linked to a decrease in ESG performance amidst financial sanctions. The results make significant contributions to the fields of ownership literature, agency theory, and sanctions literature. Additionally, they provide practical implications for diverse stakeholders, including investors, managers, and policymakers.

Exploring the moderating role of digital finance in the two-way foreign direct investment and green technology innovation nexus: an empirical evidence from China

Based on the provincial panel data of China from 2011 to 2020, this paper explores the relationship between two-way FDI and green technology innovation and examines the moderating role of digital finance in the impact of two-way FDI on green technology innovation. The results show that (1) two-way FDI can significantly enhance the level of green technology innovation. (2) Digital finance plays a moderating effect in the process of two-way FDI to enhance the level of green technology innovation. The conclusion is still robust by replacing the dependent variable, eliminating special samples and shrinking the tail. (3) The results of sub-dimensional analysis show that the three sub-dimensions indicators of the digital finance also have a positive moderating effect on the relationship between two-way FDI and green technology innovation. (4) The results of sub-regional regression show that the moderating effect in the central and western regions is greater than that in the eastern region. The results of the study can provide reference for governments to formulate policies about digital finance, which is conducive to achieve high-quality opening-up and realize green development.

Role of the government towards stock markets and carbon emissions: evidence from wavelet approach

The government of any country can play a great role in promoting economic and environmental policy reforms in both normal and crisis periods, but during the crisis period, the role of the government should take the economy into a recovery position. The stock market is the backbone of the financial system that needs the government's attention, especially in the period of financial stress and environmental protection is the responsibility of every economy to live in a healthy environment. Combining this motive, this study analyzed the role of the government towards the stock market and carbon emission by using different approaches, including the wavelet approach, OLS regression, and the Granger causality test. The wavelet approach is useful for analyzing the role of the government at different time intervals by using the time horizon from 1993 to 2021. World governance's six indicators in terms of voice and accountability, control of corruption, rules of law, regulatory quality, political stability, and government effectiveness are used as the proxy for the role of the government. Our findings show that all WGI indicators have a positive relationship with the stock market of Malaysia except voice and accountability while concerning voice and accountability, the role of the government of Malaysia is negative on the stock market. Similarly, our findings also show that the effective government governance mechanism through WGI indicators has a significant positive impact on CO2 emission due to industrialization. Furthermore, findings of the Granger causality test reveal that all the WGI indicators cause to stock market of Malaysia, and political stability has bi-directional causality indicating stock market index is also a factor that caused the political stability within Malaysia. In the Granger causality results of the CO2 and WGI indicators, there is unidirectional causality found between rules of law and regulatory quality with CO2 emission. This study advocated strong implementations for the investors for investment decisions in effective governance countries and implications for the government to remove their weakness by making effective governance related to the economy and as well as the environments within the country.

Building solidarity during COVID-19 and HIV/AIDS

While the WHO, public health experts, and political leaders have referenced solidarity as an important part of our responses to COVID-19, I consider how we build solidarity during pandemics in order to improve the effectiveness of our responses. I use Prainsack and Buyx's definition of solidarity, which highlights three different tiers: (1) interpersonal solidarity, (2) group solidarity, and (3) institutional solidarity. Each tier of solidarity importantly depends on the actions and norms established at the lower tiers. Although empathy and solidarity are distinct moral concepts, I argue that the affective component of solidarity is important for motivating solidaristic action, and empathetic accounts of solidarity help us understand how we actually build solidarity from tier to tier. During pandemics, public health responses draw on different tiers of solidarity depending on the nature, scope, and timeline of the pandemic. Therefore, I analyze both COVID-19 and HIV/AIDS using this framework to learn lessons about how solidarity can more effectively contribute to our ongoing public health responses during pandemics. Whereas we used institutional solidarity during COVID-19 in a top-down approach to building solidarity that often overlooked interpersonal and group solidarity, we used those lower tiers during HIV/AIDS in a bottom-up approach because governments and public health institutions were initially unresponsive to the crisis. Thus, we need to ensure that we have a strong foundation of respect, trust, and so forth, on which to build solidarity from tier to tier and promote whichever tiers of solidarity are lacking during a given pandemic to improve our responses.

Environmental regulation and carbon emission efficiency: Evidence from pollution levy standards adjustment in China

China's economy experienced great growth, which also induces large carbon emission. Facing the target of "Carbon peak, Carbon neutrality" in China, it is vital to improve the carbon emission efficiency. Employing the spatial Difference-in-Differences model, this paper investigates the impact of environmental regulation on carbon emission efficiency with a quasi-natural experiment of Pollution Levy Standards Adjustment in China. Our empirical results show that the environmental regulation can significantly improve the carbon emission efficiency. moreover, two impact channels are explored: green innovation and industrial upgrading. More specifically, the green innovation increases with environmental regulation, and the increased green innovation improves carbon emission efficiency. The industry upgrading increases with environmental regulation, and the increased industry upgrading improves carbon emission efficiency. Finally, in terms of city heterogeneity, we find that the impact of environmental regulation will be more pronounced for larger cities and resource-based cities. Our findings suggest that the environmental regulation must be enhanced for both smaller cities and non-resource-based cities. Moreover, to promote the green innovation of firms, since green innovation is risky and costly, governments should provide more subsidies or grants on corporate green technologies, thus firms will be motivated to invest in green technologies to reduce carbon emission.

The innovation effect of green finance reform-based on the green innovation vitality perspective

In order to develop green finance and realize the coordinated development of environment and economy, China set up green finance reform and innovation pilot zones in 2017. Taking the establishment of green finance reform and innovation pilot zones in China as an exogenous shock and based on the synthetic control method, this paper explores the impact of the pilot policies on green innovation vitality by taking five pilot provinces as the experimental group and 25 provinces without pilot policies as the control group. It is found that the pilot policy significantly enhances the level of green innovation dynamism in the pilot regions, but due to the different policy focuses, the innovation effect is immediate in Zhejiang, Guangdong, Guizhou, and Jiangxi, while the policy effect is significantly lagging behind in Xinjiang; government incentives are an important channel through which the policy enhances the green innovation dynamism; and the above findings are more significant in the samples of substantial green innovation dynamism and the eastern region. In addition, the extended economic consequences analysis shows that the pilot policy can significantly improve energy efficiency in the pilot region with a significant time lag. The findings of the study not only provide empirical evidence for the implementation effect of the green finance pilot policies, but also have practical implications for improving the green finance system and replicating and extending the green finance reform and innovation pilot zones.

Effectively solve the obstacle in the old residential building energy-saving renovation from the perspective of a four-party evolutionary game

Although the government highly focuses on old residential building energy-saving renovation (ORBESR), many hinders still exist and the efficiency of it is still low. This paper proposes a four-party evolutionary game model to study the impact of relative stakeholders' choices, involving developers, residents, neighborhood councils, and governments. Using this model, this paper studies what influences the conflicts between developers and residents take on the efficiency of ORBESR. In addition, what influence the residents, neighborhood councils, and developers' strategies will take on the ORBESR under the condition of evolutionary stability strategy. This paper finally concludes that governments could propose high penalties first to accelerate the stability of the system, then suitable subsidies to relieve the financial burden and to achieve high efficiency. The governments could provide a suitable plan for residents' investment to promote residents' participation. The neighborhood councils arouse the ways and facilities to help residents understand and participate in the ORBESR and try to solve the conflicts between developers and residents can improve the residents' participation and the developers' willingness to implement the ORBESR.

Understanding green procurement dynamics: An assessment framework for public sector organizations

Governments globally face increasing pressure from climate advocates and international agreements, such as the Paris Agreement, to enact policies addressing climate change. This paper addresses the imperative for sustainable practices outlined in such agreements, with a specific focus on assessing the drivers of Green Procurement Practices (GPP) within Public Sector Organizations (PSOs). A dearth of research exists in systematically analyzing and prioritizing these drivers, exploring their interdependencies, and elucidating their relative importance. GPP is pivotal in market transformation by promoting environmentally friendly products and endorsing low-carbon, energy-efficient alternatives. This, in turn, contributes significantly to mitigating climate change and fostering a shift towards a greener, more sustainable economy. Identification of the drivers has been performed by an extensive review of the literature combined with the author's viewpoint, while the analysis has been performed using the novel method of Dominance-based Rough Set Approach (DRSA) and Interpretive Structural Modelling (ISM) with Matriced' Impacts Croise's Multiplication Applique'e a UN Classement (MICMAC) analysis. The study's outcome reveals that the Demand for Eco-friendly products is the primary driver for the incorporation of GPP, followed by the drivers' Presence of guidelines support and Government Regulations. Findings of the research also demonstrate that suppliers' propensity to adopt green practices depends on several factors, including sustainable supplier cooperation, degree of commitment to embrace green initiatives, government interventions in the form of incentives and guidelines support, and the presence of a legal framework. The findings of this research will enrich the understanding of policymakers and managers to formulate strategies for advancing GPP structured and sustainable implementation in PSOs. The study's findings will also benefit green technology sector advancement through the widespread adoption of GPP.

Strategic interaction among stakeholders on low-carbon buildings: A tripartite evolutionary game based on prospect theory

Low-carbon buildings (LCBs) are still in the early stages of development in China. The promotion and implementation of associated policies are not yet fully matured. Meanwhile, their status as public goods exacerbates the uncertainty and complexity regarding anticipated gains and potential losses. Few studies have explored the impact of perception parameters on the decision-making processes of LCBs' stakeholders. Thus, combined with prospect theory, this paper establishes a tripartite game model composed of governments, developers, and consumers to explore their interactions and influences in different stages. Real-life scenarios are further utilized to validate the effectiveness of the model in predicting the behaviors under respective preferences. The results show that the increase in subsidy and penalty intensity instead diminishes the enthusiasm for LCBs. More specifically, the existing subsidy policies offer limited incentives to consumers. With the addition of the perception parameter, there exist differences in the sensitivity of consumers and developers towards risk levels and potential losses. The findings also highlight the importance of consumers in the LCBs market. Future policies should encourage developers and consumers to jointly promote the LCBs implementation.

The formality effect

This paper documents the existence of a 'formality effect' in government communications. Across three online studies and three field experiments in different policy contexts (total N = 67,632), we show that, contrary to researcher and practitioner predictions, formal government communications are more effective at influencing resident behaviour than informal government communications. In exploring mechanisms, we show that formality operates as a heuristic for credibility and importance. Recipients view the source of a formal letter as more competent and trustworthy, and view the request itself as more important to take action on, despite no evidence of change in comprehension or in perceived ease of taking action. These findings have immediate implications for government communicators and open the door for a renewed focus on how the design and presentation of information impacts behaviour.

Size of government and willingness-to-pay for environmental policy: Evidence from a cross-country survey

Citizen support is an important precursor to climate change mitigation polices. Public opinion can shape public policy and vice versa. This paper uses the 2010 International Social Survey Programme (ISSP) Environment Module to investigate cross-national differences in support for climate policy. We introduce size of government, measured by government revenues as a share of GDP, as a new country-level factor. Our sample includes 31,511 responses from 33 countries. We use multilevel models to estimate the relationship between country-level factors and environmental policy support, conditional on a series of individual factors. Increasing the size of government by one standard deviation reduces support for environmental policy by 0.13 points on a 5-point scale. For comparison, a one standard deviation increase in GDP per capita leads to a 0.24 increase in support and a one standard deviation increase in air pollution leads to a 0.13 point increase. The implication for environmental policy is that high tax countries have an aversion to price and tax increases aimed at protecting the environment. We conclude that use of taxes for environmental policy must include clear expectations for how revenues will be recycled or how other taxes will be lowered if they are to gain widespread support.

Analysis of the spatial correlation pattern of logistics carbon emission efficiency and its influencing factors: the case of China

As logistics carbon emission efficiency is an essential industry linking regions, investigating this issue from a spatial correlation perspective is practically significant. Utilizing data from 282 prefecture-level cities spanning 2006 to 2019, we used a super slacks-based measure model, a modified gravity model, motif analysis, the Infomap algorithm, and an exponential random graph model to analyze the spatial correlation patterns and influencing factors of logistics carbon emission efficiency. The following conclusions were drawn. (1) The spatial correlation of logistics carbon emission efficiency during the study period exhibited a core-edge pattern, with the central region emerging as a high-correlation hub. (2) The scale of the spatial association network community of carbon emission efficiency in the logistics industry changed constantly, and the stability of the network community structure gradually increased. From a microstructural perspective, the dispersed-mode structure was a pivotal element in the formation of the spatial correlation network of logistics carbon emission efficiency. (3) Node interaction tendencies were a critical force driving network formation. Financial investment, government concern, international openness, population density, and innovation ability were conducive to the formation of spatial correlations of logistics carbon emission efficiency.

Unlocking the importance of perceived governance: The impact on COVID-19 in NUTS-2 European regions

In the immediate aftermath of the pandemic, governments implemented non-pharmaceutical interventions (NPIs). Previous literature suggests that NPI effectiveness is influenced by governance quality. The acceptance and perceived necessity of these measures by the public are crucial to their success, as NPIs cannot be easily enforced without public support. Does regional governance also play a role? This study examines the correlation between the quality of governance in European NUTS-2 regions and the spread of COVID-19. The findings indicate that overall perceived governance, and its perceived quality and corruption pillars, significantly impact the effectiveness of these interventions. This effect was pronounced during the first wave and then diminished in importance, disappearing before vaccines were available, suggesting that regional governance matters especially in the immediate aftermath of an exogenous shock.

Exploring the nexus between fiscal decentralization and ecological sustainability: a fresh perspective from the moderating role of geopolitical risk and updated international evidence

Fiscal decentralization has been long employed to enhance the utilization of financial resources for sustainable development. Nevertheless, its effectiveness in limiting ecological degradation is ambiguous, especially when a country faces geopolitical risks. Different from previous works which separately examine the impacts of either fiscal decentralization or geopolitical risks on ecological sustainability, this research examines the moderating role of geopolitical risks on the non-linear relationship between fiscal decentralization and ecological footprints across different levels of environmental condition. An advanced panel quantile regression is applied to a sample of 23 advanced and emerging market economies from 1990 to 2018. The empirical results indicate that the nexus between revenue decentralization and ecological footprint follows an inverted U-shaped pattern at the 20th to 60th quantiles of ecological footprint. Meanwhile, the linkage between expenditure and ecological footprint reflects a U-shaped pattern across all quantiles. Notably, geopolitical risk strongly moderates the connection between fiscal decentralization and ecological footprint with the role being stronger in the case of revenue decentralization. This research provides valuable implementations to tailor policies for transferring revenue and expenditure responsibilities to sub-governmental bodies towards sustainability targets based on their current ecological conditions and contexts of geopolitical instability.

Exploring pollution control in transboundary watersheds under the perspective of ecological compensation based on aggregate game

Pollution control in inter-provincial river basins involves many complex subjects, so it is difficult to effectively implement ecological compensation policies. To clarify the interest relationship among pollution control subjects and stimulate their willingness to cooperate in collaborative governance, this paper builds a multi-agent coordinated pollution control model based on the theory of aggregate game; explores the change of equilibrium action of a single pollution control agent and multi-actors, symmetric, and asymmetric situations under the influence of synergistic benefits; and studies the incentive mechanism design to maintain the cooperation of various agents. The research results show that an increase in the number of upstream firms would lead to a reduction in the incentive effects of downstream government compensation and an increase in the likelihood of "free-riding" and "coordination failure." Synergy benefits vary positively with the degree of cooperation between government and enterprises, and higher synergy benefits can effectively compensate for the high transaction costs caused by multiple entities, alleviate the financial pressure on downstream governments, and increase the willingness of upstream and downstream entities to cooperate. In addition, focusing on wastewater reduction from core enterprises, such as heavy polluters can help improve the efficiency of regional emissions reduction, while having a catalytic effect on small enterprises.

Driving carbon emission reduction in China through green finance and green innovation: an endogenous growth perspective

Discovering drivers of carbon dioxide (CO2) emissions is vital for the Chinese government to achieve carbon peak and carbon neutral. With this aim, a theoretical endogenous growth model capturing the mitigating effect of green finance and green innovation on carbon emissions is constructed in this study, which is further empirically examined using China's municipal-level panel data during 2010-2019. The main findings are as follows: First, there is theoretical and empirical evidence supporting that green finance and green innovation can inhibit carbon emissions. Second, the above inhibitory effects demonstrate clear regional disparities with significant effects only in eastern and central Chinese cities, which are moderated by environmental regulations and marketization levels, respectively. Third, in cities with high green finance, green finance plays a more significant role in reducing carbon emissions than green innovation, and the opposite is true in cities with low green finance. In addition, the robustness and endogeneity checks indicate that the results of this study are robust and reliable. These theoretical and empirical findings create profound implications for CO2 emission reduction by vigorously guiding funds to green finance and formulating scientific and effective environmental regulations to promote green innovation in China.

The knowledge and reuse practices of researchers utilising government health information assets, Victoria, Australia, 2008-2020

BACKGROUND

Using government health datasets for secondary purposes is widespread; however, little is known on researchers' knowledge and reuse practices within Australia.

OBJECTIVES

To explore researchers' knowledge and experience of governance processes, and their data reuse practices, when using Victorian government health datasets for research between 2008-2020.

METHOD

A cross-sectional quantitative survey was conducted with authors who utilised selected Victorian, Australia, government health datasets for peer-reviewed research published between 2008-2020. Information was collected on researchers': data reuse practices; knowledge of government health information assets; perceptions of data trustworthiness for reuse; and demographic characteristics.

RESULTS

When researchers used government health datasets, 45% linked their data, 45% found the data access process easy and 27% found it difficult. Government-curated datasets were significantly more difficult to access compared to other-agency curated datasets (p = 0.009). Many respondents received their data in less than six months (58%), in aggregated or de-identified form (76%). Most reported performing their own data validation checks (70%). To assist in data reuse, almost 71% of researchers utilised (or created) contextual documentation, 69% a data dictionary, and 62% limitations documentation. Almost 20% of respondents were not aware if data quality information existed for the dataset they had accessed. Researchers reported data was managed by custodians with rigorous confidentiality/privacy processes (94%) and good data quality processes (76%), yet half lacked knowledge of what these processes entailed. Many respondents (78%) were unaware if dataset owners had obtained consent from the dataset subjects for research applications of the data.

CONCLUSION

Confidentiality/privacy processes and quality control activities undertaken by data custodians were well-regarded. Many respondents included data linkage to additional government datasets in their research. Ease of data access was variable. Some documentation types were well provided and used, but improvement is required for the provision of data quality statements and limitations documentation. Provision of information on participants' informed consent in a dataset is required.

The impact of public environmental preferences and government environmental regulations on corporate pollution emissions

The Chinese government has attached great importance to pollution emission reduction. Since public environmental preference plays an important role in curbing polluting emissions by companies, this paper aims to explore the impact of public environmental preference and government environmental regulation on corporate pollution emissions. The coordinating role of environmental preference in the implementation of environmental regulatory policies is analyzed using pollution emission data of Chinese enterprises. The results show that both environmental preference and environmental regulation have significant inhibitory effects on corporate pollution emissions. The inhibitory effects are achieved by promoting the green technology progress. With high environmental preference, environmental regulation can effectively curb corporate emissions. This paper is helpful for policy makers to formulate ecological and environmental protection policies and cultivate public environmental preferences.

Political embeddedness in public-private partnership for nature conservation: A land trust reserve case from China

Private sector plays an increasingly vital role in nature conservation globally. This study explores the concept of political embeddedness, which suggests that governments and environmental nongovernmental organizations (ENGOs) can leverage each other's strengths to achieve both formal and informal goals. Using the case of Laohegou Nature Reserve in China, this study illustrated how the complementary advantages of the government and ENGOs form the foundation of a land trust reserve. Within the case, the study found that power and interest balance between the government and ENGOs during project implementation supported their formal cooperation in nature conservation. This study proposed a political perspective to elaborate power and interest in the formal and informal dimensions of nature conservation public-private partnership (PPP) project. Moreover, it noted that a balance of power between the government and ENGOs is essential in building partnership networks with inclusive interests.

Climate risks in urban areas

Engaging with communities in informal settlements presents opportunities to mitigate the health impacts of climate change, but government investment is also needed. Gary Humphreys reports.

An evaluation of the impact of China's green credit policy on different pathways using a CGE model

The objective of the study was to quantitatively analyze the heterogeneous effects of different green credit implementation methods on energy, environmental, and economic systems by developing a computable general equilibrium model. The specific green credit implementation methods are divided into interest-penalty policy for energy-intensive industries and interest preferential policy for green industries. Various approaches to implementing green credit can lead to distinct impacts on energy consumption, environmental outcomes, and economic performance. Green credit policy experiments are carried out utilizing short-, medium-, and long-term scenarios to investigate how the consequences of green credit policies evolve. The findings demonstrate that (1) implementing a penalty interest policy for energy-intensive industries can have substantial short-term environmental effects, cutting total demand for fossil energy and lowering carbon dioxide emissions significantly. As the cycle progresses, this effect will progressively fade and have a negative economic impact. (2) The interest preferential policy for the green industry has a significant promoting effect on green technology, and its energy and environmental effects will be reflected in the long term, and the effect will continue to increase, which has a positive promoting effect on the economy. (3) There are significant differences in the policy effects brought about by the different implementation methods of green credit policies. Both policies can positively affect social energy and the environment, but the effect cycles are different. When two types of interest policies are implemented in the economy, the negative economic effect of the penalty interest policy is greater than the positive effect of the preferential interest policy, which harms the macroeconomy. These conclusions will provide theoretical and practical references for the government and banks to choose a better green credit implementation path.

Influencing factors of environmental efficiency of strategic emerging industries and their power cooperation mechanism design

We investigate the influencing factors of environmental efficiency of strategic emerging industries (SEIs) and cooperative game mechanism design amongst diversified actors by using China's provincial panel data from 2004 to 2019. Firstly, we find that the following factors improve the environmental efficiency of SEIs: rationalisation of the industrial structure, proportion of the tertiary industry, government's ability to intervene in the economy and fairness and integrity of environmental law enforcement. Conversely, factors, such as intensity of ecological construction and environmental regulation, hamper the environmental efficiency of SEIs. Secondly, evolutionary game analysis indicates that the behavioural strategies of game decision-making subjects depend on the behavioural decisions of the relative actors, social supervision and government regulation, which work together in influencing the environmental efficiency of SEIs. {innovation, supervision} is the optimal equilibrium state of the game. Thirdly, simulation results show that in the absence of government regulation, foreign direct investment (FDI) slows down the speed of firms tending to the equilibrium state of green innovation. The potential gain and loss of social supervision on corporate behaviour is an important factor affecting government behaviour decision making. Governments prefer punishment tools in environmental regulation, therefore influencing noninnovative firms in SEIs. We contribute to prior works by unifying various policy tools into the same econometric model framework based on an evolutionary game model.

Marine ecological security shelter in China: Concept, policy framework, mechanism and implementation obstacles

Building a marine ecological security shelter (MESS) has become the main strategy to adapt marine ecological threats in China. As China's marine policy lacks a robust framework document, it is necessary to consider whether the policy system can effectively support the construction of MESS. However, the linkage between the construction measures of MESS and related policies is not clear. Therefore, the purpose of this paper is to clarify the concept of MESS and its connection with policy, by adopting the policy content analysis method to analyze the evolution process of MESS-related policy system. The legislative shortcomings and implementation obstacles of the MESS-related policy system are then summarized and discussed. The results show that from 1981 to 2021 the MESS-related policy system has been continuously improved. However, the policy system's support and guarantee capacity for building MESS still needs to be improved. (1) Due to the lack of basic laws and special laws, the coordination among governance subjects and among policies lacks legislative guarantee. (2) The construction of MESS continues the inter-regional and inter-department administrative barriers in collaborative governance of marine environment. To establish an effective collaborative governance model, it is essential to improve the governance structure and mechanism. (3) The government-led governance pattern faces the problem of mechanism failure. The command and control instrument accounts for more than 82%, and the public and enterprises lack strong policy guarantees to participate in marine governance. (4) The policy system's adaptability to emerging threats must be improved. Marine policies rarely involve emerging threats such as climate change and new pollutants. Meanwhile, the real-time supervision and monitoring mechanism is weak. The real-time supervision is only accounting for about 10%. Generally speaking, as a complex and long-term system engineering, the construction of MESS will inevitably encounter contradictions in politics, culture, and economy. China should deepen the construction of marine ecological civilization and form a governance concept based on ecosystems. Overall, this paper helps to understand the internal connection between MESS and policy comprehensively and provides a new perspective for improving China's marine governance capacity.

Detection of SARS-CoV-2 BA.2.86 by lateral flow devices

We evaluated the performance of 12 lateral flow devices by assessing their analytical sensitivity for SARS-CoV-2 variant BA.2.86. Kits from ACON, Orient Gene, Xiamen Biotime, Getein, and SureScreen detected variant BA.2.86 to sufficient sensitivity levels, comparable to those observed with previous Omicron variants. The stocks of lateral flow devices currently held by the UK government do not currently need changing for deployment for this variant.

A hybrid forecasting approach for China's national carbon emission allowance prices with balanced accuracy and interpretability

A significant milestone in China's carbon market was reached with the official launch and operation of the National Carbon Emission Trading Market. The accurate prediction of the carbon price in this market is crucial for the government to formulate scientific policies regarding the carbon market and for companies to participate effectively. Nevertheless, it remains challenging to accurately predict price fluctuations in the carbon market because of the volatility and instability caused by several complex factors. This paper proposes a new carbon price forecasting framework that considers the potential factors influencing national carbon prices, including data decomposition and reconstruction techniques, feature selection techniques, machine learning forecasting techniques for intelligent optimisation, and research on model interpretability. This comprehensive framework aims to improve the accuracy and understandability of carbon price projections to respond better to the complexity and uncertainty of carbon markets. The results indicate that (1) the hybrid forecasting framework is highly accurate in forecasting national carbon market prices and far superior to other comparative models; (2) the factors driving national carbon prices vary according to the time scale. High-frequency series are sensitive to short-term economic and energy market indicators. Medium- and low-frequency series are more susceptible to financial markets and long-term economic conditions than high-frequency series. This study provides insights into the factors affecting China's national carbon market price and serves as a reference for companies and governments to develop carbon price forecasting tools.

Quantile connectedness between the climate policy and economic uncertainty: Evidence from the G7 countries

In this study, we investigate the transmission mechanism between climate policy uncertainty (CPU) and economic policy uncertainty (EPU) in the G7 countries. To account for different conditions, we use a quantile-based VAR (Q-VAR) model over the period between 2000 and 2021. Our results show high connectedness between the CPU and the EPU of G7 countries, particularly at extreme quantile orders. On the other hand, the spillover effects between climate and economic policy uncertainty differ depending on the distributional levels of the uncertainty indices. The CPU is a net receiver of uncertainty shocks, while for almost all countries, the EPU acts as a net receiver or emitter, depending on the economic situation. During times of high or low economic uncertainty, the EPU of all G7 countries is strongly affected by shocks originating from the CPU. Moreover, the results indicate that the dynamic spillover patterns between EPU and CPU vary over time, responding to different economic events and financial crises. These results call for policymakers and governments to urgently integrate climate considerations into economic planning, fiscal policies, and regulatory frameworks to promote sustainable economic growth and mitigate the impacts of climate change.

Administrative law as a determinant of public health

Administrative law comprises the rules, values, and processes by which government and regulatory decision-making is subject to administrative monitoring, review, and accountability. It impacts public health in two ways: through the design, powers, and processes of institutions that enforce administrative law; and through the substantive rules of administrative law. Yet despite its fundamental regulation of the way in which public health decisions are made, insufficient research has been conducted on administrative law as a determinant of public health. Administrative law and public health operate as siloed academic disciplines with very little cross-disciplinary collaboration, engagement, or understanding. This results in major, untapped research opportunities exploring how administrative law could contribute to an optimized model of planetary health in both higher income and lower-middle income countries. Put simply, a holistic, global view of the determinants of public health must take due account of the accountability rules and controls that regulate how public health, and other, decisions are made. This commentary is a call to action to better understand how administrative law mechanisms, such as judicial review, administrative tribunals, ombudsmen, information commissioners, public auditors, and human rights monitors, can be designed or redesigned to better promote sustainable public health outcomes.

The link between anger and admiration toward governmental actions and self-reported preventive behaviour in the context of the COVID-19 pandemic

In the context of the COVID-19 pandemic, across six correlational studies in four different countries (total N = 4937), we examined the link between citizens' anger with and admiration for the government's actions and decisions (i.e., system-based anger and admiration) and engagement in preventive behaviour. The internal meta-analyses showed that individuals who admired the government's actions were more likely to adopt personal hygiene and social distancing behaviour. Yet, the link between emotions and preventive behaviour differed concerning the target of emotions, especially for anger. Specifically, anger about restrictions imposed by the government was negatively related to preventive behaviours, but this relationship was not significant when the target of anger was the government's overall handling of the pandemic. Our findings emphasise the importance of citizens' emotions and the targets of those emotions during the crisis.

[Effectiveness of the central government-funded echinococcosis control programme in Tianzhu Tibetan Autonomous County, Gansu Province from 2007 to 2022]

OBJECTIVE

To evaluate the effectiveness of the central government-funded echinococcosis control programme in Tianzhu Tibetan Autonomous County, Gansu Province from 2007 to 2022, so as to provide insights into echinococcosis control.

METHODS

Administrative villages were sampled using a multi-stage cluster random sampling method from Tianzhu Tibetan Autonomous County, Gansu Province from 2007 to 2022, and all residents at ages of 12 years and older in the sampled villages were screened for echinococcosis, and schools were sampled using a cluster sampling method, and all children at ages of 12 years and older in the sampled schools were screened for echinococcosis. Domestic dogs were sampled using a systematic random sampling method, and one domestic dog stool sample was collected from each household. Stray dog stool samples were collected outside the villages, and Echinococcus coproantigens were detected using enzyme-linked immunosorbent assay in domestic and stray dogs. In addition, echinococcosis was screened in sheep and cattle in designated slaughterhouses in Tianzhu Tibetan Autonomous County. The trends in the prevalence of echinococcosis in humans and livestock and the positive rate of Echinococcus coproantigens in dogs were examined with the Cochran-Armitage trend test. In addition, individuals screened for echinococcosis were randomly sampled from 2007 to 2022 for survey on the awareness of echinococcosis control knowledge.

RESULTS

A total of 290 356 person-times were screened for echinococcosis among residents at ages of 12 years and older in Tianzhu Tibetan Autonomous County, Gansu Province from 2007 to 2022, with 1 094 residents detected with cystic echinococcosis, and the detection of echinococcosis appeared a tendency towards a gradual decline over years (χ2 = 358.602, P < 0.001). A total of 32 931 person-times were screened for echinococcosis among children at ages of 12 years and older in Tianzhu Tibetan Autonomous County, Gansu Province from 2007 to 2022, with 296 children detected with echinococcosis, and the detection of echinococcosis appeared a tendency towards a gradual decline over years (χ2 = 267.673, P < 0.001). A total of 33 230 domestic dog stool samples were tested for Echinococcus coproantigens in Tianzhu Tibetan Autonomous County, Gansu Province from 2007 to 2022, with 1 777 Echinococcus coproantigens-positive samples tested, and the positive rate of Echinococcus coproantigens appeared a tendency towards a decline in domestic dogs over years (χ2 = 2 210.428, P < 0.001), while the positive rate of Echinococcus coproantigens showed a tendency towards a rise in domestic animals from 2016 to 2022 (χ2 = 37.745, P < 0.001). The positive rate of Echinococcus coproantigens remained relatively stable in stray dogs in Tianzhu Tibetan Autonomous County, Gansu Province from 2019 to 2022 (χ2 = 0.315, P = 0.575). A total of 10 973 sheep were screened for echinococcosis in Tianzhu Tibetan Autonomous County from 2007 to 2022, with 334 sheep detected with echinococcosis, and the detection of echinococcosis appeared a tendency towards a decline in sheep over years (χ2 = 53.579, P < 0.001); however, there was no significant change in the detection of echinococcosis during the period from 2015 through 2022 (χ2 = 1.520, P = 0.218). A total of 2 400 cattle were screened for echinococcosis in Tianzhu Tibetan Autonomous County from 2017 to 2022, with 231 cattle detected with echinococcosis, and the detection of echinococcosis showed a tendency towards a decline over years (χ2 = 5.579, P < 0.05). The awareness of echinococcosis control knowledge increased from 44.37% in 2007 to 94.00% in 2022 among residents at ages of 12 years and older and from 52.50% in 2007 to 92.50% in 2022 among children at ages of 12 years and older in Tianzhu Tibetan Autonomous County, respectively.

CONCLUSIONS

There has been a reduction in the detection of echinococcosis in humans and domestic animals and the positive rate of Echinococcus coproantigens in dogs and a rise in the awareness of the echinococcosis control knowledge following the implementation of the central government-funded echinococcosis control programme in Tianzhu Tibetan Autonomous County, Gansu Province; however, integrated echinococcosis control measures are still required for further control of the prevalence of echinococcosis.

Carbon risk and green transition: evidence from China

Carbon risk may have potential influences on the green transition of enterprises. This paper thoroughly investigates the effect and mechanism of carbon risk on the transition towards sustainability. We use quantitative regression models and a panel of Chinese manufactural listed companies from 2011-2020. There is strong evidence manifesting that the effect of carbon risk on corporate green transition is positive and statistically significant. The green transition is marked by the overall encouragement of exploratory, exploitable, autonomous, and collaborative green innovation. The mechanism test indicates that the enhancement of internal R&D transformation and the pressure of external stakeholders are two fundamental pathways by which carbon risk influences the green transition. Additional examination reveals that the beneficial impact is particularly noticeable for companies that have limited capital intensity, minimal governmental assistance, reduced financial limitations, and are state-owned enterprises. These results are robust to resolve the problem of endogeneity by means of instrumental variables, Heckman two-step, placebo test, propensity score matching and difference-in-difference ways. Against the background of carbon neutrality, it is of great significance to examine the relationship between carbon risk and corporate green transition. The conclusion complements the knowledge of carbon risk and green transition, as well as provides theoretical insights and practical enlightenment for the green transition of manufacturing enterprises in emerging economies.

Research on the development strategy selection of the new energy vehicle industry from the perspective of green credit-Based on the foursquare evolutionary game analysis

Developing new energy vehicles is vital to promote green development and the harmonious coexistence of humans and nature. It is also the only way to help China move from a significant automobile country to a powerful automobile country. Based on the background of the "recession" of government subsidies and considering the importance of green credit in promoting green and low-carbon transformation, this paper constructs a four-party evolutionary game model that includes government, automotive companies, banks, and consumers to analyze the stability of the strategic choices of various parties in the development process of the new energy vehicle industry. It uses MATLAB simulation tools to analyze the impact of relevant factors on system stability. The research shows that: (1) The government's subsidy mechanism significantly promotes the development of the new energy vehicle industry. Still, there is a subsidy threshold, beyond which the effect will weaken and quickly bring financial pressure. (2) With the gradual decline of government subsidies, the bank's green credit policy has a specific policy complementary effect on the decline of government subsidies. (3) Considering that costs and benefits are the main influencing factors for automotive companies and consumers' strategic choices, the impact of factors such as the punishment of violations, adjustment of subsidy policies, and consumers' environmental awareness must also be paid attention to.

Research on the impact of China's reform to delegate power, streamline administration, and optimize government services on the technology innovation efficiency of the pharmaceutical manufacturing industry

Objective

The government has recently implemented reforms aimed at delegating power, streamlining administration, and optimizing government services. This reform has eliminated barriers that impede the growth of various industries, thereby unleashing innovative potential. Additionally, there have been several medical policies, including changes to medical insurance and centralized volume-based procurement. China's pharmaceutical market has undergone significant changes, leading to increased demands for innovation technology efficiency in pharmaceutical manufacturing.

Methods

The three-stage BCC theory was employed to assess the effectiveness of technology innovation in the industry under this reform. Calculate precise comprehensive technical efficiency values, pure technical efficiency values, and scale efficiency values for technological innovation in the pharmaceutical industry across 30 provinces from 2018 to 2020, after removing environmental factors.

Results

In 2020, Jiangsu and Shandong and nine other provinces reached the comprehensive technical efficiency frontier surface, joining Tianjin, Zhejiang, and Guangdong provinces. However, Gansu, Qinghai, Ningxia, and Xinjiang still need to catch up due to their smaller industrial scale and lack of technology.

Discussion

To ensure the effectiveness of reforms, it is crucial to fully consider provincial differences. Articulating national and provincial policies is necessary to allow efficient provinces to continue and allocate resources toward less efficient provinces to improve overall efficiency.

Open Source Software in Healthcare: International Case Series from the IMIA Open Source Working Group

In this case series, we demonstrate how open-source software has been widely adopted as the primary health information system in many low- and middle-income countries, and for government-developed applications in high-income settings. We discuss the concept of Digital Global Goods and how the general approach of releasing software developed through public funding under open-source licences could improve the delivery of healthcare in all settings through increased transparency and collaboration as well as financial efficiency.

Integrating international policy standards in the implementation of postnatal care: a rapid review

INTRODUCTION

International legal and political documents can assist policy-makers and programme managers in countries to create an enabling environment to promote maternal and newborn health. This review aimed to map and summarise international legal and political documents relevant to the implementation of the WHO recommendations on maternal and newborn care for a positive postnatal experience.

METHODS

Rapid review of relevant international legal and political documents, including legal and political commitments (declarations, resolutions and treaties) and interpretations (general comments, recommendations from United Nations human rights treaty bodies, joint United Nations statements). Documents were mapped to the domains presented in the WHO postnatal care (PNC) recommendations; relating to maternal care, newborn care, and health systems and health promotion interventions, and by type of human right implied and/or stated in the documents.

RESULTS

Twenty-nine documents describing international legal and political commitments and interpretations were mapped, out of 45 documents captured. These 29 documents, published or entered into force between 1944 and 2020, contained content relevant to most of the domains of the PNC recommendations, most prominently the domains of breastfeeding and health systems interventions and service delivery arrangements. The most frequently mapped human rights were the right to health and the right to social security.

CONCLUSION

Existing international legal and political documents can inform and encourage policy and programme development at the country level, to create an enabling environment during the postnatal period and thereby support the provision and uptake of PNC and improve health outcomes for women, newborns, children and families. Governments and civil society organisations should be aware of these documents to support efforts to protect and promote maternal and newborn health.