Shared prosperity, energy-saving, and emission-reduction: Can ICT capital achieve a "win-win-win" situation?

The impact of digital inclusive finance on the collaborative reduction of pollutant and carbon emissions: spatial spillover and mechanism analysis

In light of the escalating global climate risks threatening human survival, there is a global consensus on the necessity for collaborative reduction of pollutant and carbon emissions (CRPC). Within this context, digital inclusive finance (DIF) is recognized for its unique inclusiveness and digital characteristics as a critical factor in promoting environmentally friendly and sustainable development. DIF provides advantageous channels for environmental governance, thereby making the achievement of CRPC objectives feasible. However, the impact of DIF on CRPC has not been fully explored. This study employs a spatial econometric model to investigate the impact of DIF on CRPC in 278 prefecture-level cities in China from 2011 to 2020. The findings indicate that DIF has a positive impact on CRPC, with significant spatial spillover effects. The analysis highlights the pivotal mediating roles played by technology effect and electrified effect of the energy mix, while environmental regulation effect plays a moderating role. Notably, disparities in the impact of DIF on CRPC are evident, particularly in non-resource-based cities, cities with low carbon intensity, and eastern regions where spatial spillover effects are more pronounced. These experiences enrich the relevant thesis in terms of DIF on CRPC, providing a theoretical basis for formulating CRPC schemes.

Catalyzing sustainable development: Exploring the interplay between access to clean water, sanitation, renewable energy and electricity services in shaping China's energy, economic growth, and environmental landscape

The Sustainable Development Goals (SDGs) reflect the shift in global economic conversation toward inclusive growth. The growth can promote inclusivity and widespread sharing of its advancements by concentrating on four key dimensions. (a) Equality of opportunity, (b) sharing prosperity, (3) environmental sustainability/climate adaptation, and (4) macroeconomic stability. We used the Kao cointegration test to study how certain variables are connected over a long period. The relationship between CO2 and GDP per capita, renewable energy and tourism, improved water and sanitation, and access to power all have a positive feedback effect on each other. Based on FMOLS's findings, a 1 % increase in Inclusive growth leads to a 0.342 % (Model 1) and 0.258 % (Model 3) increase in CO2 emissions. An increase of 1 percent in energy consumption per person resulted in a rise of 1.343 % in CO2 emissions in Case 1, 0.524 % in Case 2, and 0.618 % in Case 3. Increasing the tourism sector's proportion of total exports by just one percent will reduce CO2 emissions by 0.221 % (case 1) and 0.234 % (case 3). Based on CCR findings, a 1 % improvement in inclusive growth leads to a 0.403.

Carbon emission reduction enabled by informatization construction: an analysis of spatial effects based on China's experience

The "dual-carbon" objective presents a huge challenge for China and the world, with profound implications for the advancement of China's eco-friendly economy. Additionally, informatization development has a significant impact on the level of carbon emissions in both local and neighbouring regions. Therefore, we employ panel data from 30 provinces in China spanning the years 2012 to 2021, and use the Kernel density estimate and Moran's index to explore informatization level and carbon emissions space agglomeration characteristics. We elucidate the nonlinear relationship and heterogeneity between informatization improvement and carbon emissions based on the spatial Durbin model. The primary findings are as follows. Firstly, we discover a distinct spatial clustering phenomenon which the informatization level is high in coastal areas and low in inland areas, whereas carbon emissions are low in the south and high in the north. Secondly, the effect of the informatization level on carbon emissions is shown as a U-shaped and non-linear correlation, signifying inhibitory and subsequently promoting phases. Thirdly, we reveal the negative influence on carbon emissions caused by spatial lag terms of the informatization level, and find that a higher local informatization level will have an inhibitory effect on carbon emissions in neighbouring areas. Finally, there is a spatial heterogeneity in the impact of the informatization level on carbon emissions, which presents the U-shaped relation between informatization level and carbon emissions varies across the North-South subregion and the three major economic subregion of China.

How ICT capital affects the spatial correlation of energy consumption-a new perspective based on spatially correlation network

ICT has significantly transformed the traditional energy production and service methods, changed the correlation characteristics of energy consumption network, and contributed to the establishment of cross-regional, open, and synergistic energy ecological networks. In this paper, social network analysis (SNA), dynamic SYS-GMM model, and mediating effects model are employed to deliberate on the mechanism of ICT capital's influence on the spatial correlation of energy consumption from 2000 to 2019. Firstly, this study employs an enhanced gravity model to precisely delineate the spatial correlation network of energy consumption in China, further applies the SNA to analyze the network structural characteristics, and then uses the econometric model to investigate the influence mechanism and heterogeneity of ICT capital on the spatial correlation of energy consumption. The study demonstrates a progressive spatial correlation in energy consumption in China, with eastern provinces emerge as the center of the network, assuming the position of the "dominant player." Conversely, the central provinces act as the "bridge," and western provinces are positioned at the periphery, referred to as the "edge" of the network. ICT capital contributes to improving the energy consumption spatial correlation, mainly by stimulating green technology innovation, promoting industrial structure optimization, accelerating human capital accumulation, and reducing income inequality. As ICT capital expands, the eastern region becomes more preeminent as a network hub for energy consumption, the central region increases its dominance slightly, and the western region's marginal position does not change significantly. Furthermore, the presence of ICT capital significantly enhances the intensity of energy consumption spatial correlation more prominently for low-carbon pilot areas and high Internet level areas. This study guides provinces to fully utilize ICT capital to reach collaborative energy-saving goals, and promotes the breaking down of regional competitive barriers in energy systems to build cooperative energy conservation ecological networks.

How does coordinated regional digital economy development improve air quality? New evidence from the spatial simultaneous equation analysis

Countries around the world are increasingly turning towards developing digital economies to find better strategies for tackling the environmental pollution associated with economic growth while also pursuing high-quality economic conditions. This study aims to probe the link between coordinated regional digital economy development (RDEC) and air quality. A province-level RDEC indicator based on city-level data is developed, and air pollution is gauged by annual average PM_2.5 concentrations. Furthermore, a spatial simultaneous equation model is employed to examine the causality further. The empirical results indicate that a bilateral causal relationship exists: RDEC improves air quality, and better air quality also facilitates RDEC. This relationship is influenced by spatial spillover effects. Specifically, air quality and RDEC of an area have a negative influence on the RDEC of neighboring regions, while they have a positive impact on neighboring areas' air quality. Further analysis suggests that green total factor productivity, advanced industrial structure, and regional entrepreneurship level can indirectly affect the contribution of RDEC to air quality. Additionally, the impact of air quality on RDEC may be realized through the increase in labor productivity, lower external environmental costs of regional economic development, and enhanced regional foreign economic exchange.

Impact of digital infrastructure inputs on industrial carbon emission intensity: evidence from China's manufacturing panel data

Digital infrastructure inputs (DIIs) are vital in strengthening the framework for developing the digital economy and encouraging economic growth. Nonetheless, the risks of environmental contamination are pervasively caused by the rapid expansion and utilization of digital infrastructure. Assessing the carbon emission intensity (CEI) and level of the DIIs of 18 manufacturing in China as the research subject, this study discusses the heterogeneous behavior of various input sources and industries. Furthermore, a two-way fixed effects model, threshold effects model, mediating effects model and moderated mediation effects model have been adopted to examine the nexus between DIIs and CEI of manufacturing. The results show that (1) DIIs raise China's manufacturing CEI and exert a non-linear threshold effect. (2) From the perspective of national attributes, the foreign DIIs will put more pressure on reducing the CEI in China. From the perspective of industry characteristics, DIIs are the most unfavorable for low-carbon development in capital-intensive industries. (3) Due to the mediating effect of total factor productivity (TFP), the positive influence of DIIs on CEI has dramatically diminished. (4) Participation in the global value chain (PAR) and foreign direct investment (FDI) exert moderating effects in the process of the direct effect and mediating effects. In light of the aforementioned conclusions, specific recommendations for developing digital infrastructure and reducing carbon emissions are proposed.

Energy saving and emission reduction effects of urban digital economy: technology dividends or structural dividends?

As a new economic form, the digital economy provides new opportunities to save energy and reduce emissions, but it may also become a booster for increasing energy consumption and pollutant emissions, making the sustainable development of cities face serious challenges. It is controversial whether the digital economy contributes to energy saving and emission reduction, and it is unclear what role technological progress and structural transformation play in the relationship between the digital economy and energy saving and emission reduction. In this study, the energy saving and emission reduction effects of the digital economy in cities and its mechanisms are empirically examined from the perspective of technological progress and structural transformation using the two-way fixed effect model and the mediating effect model. The results show that the digital economy increases urban energy consumption and reduces pollution emissions. The energy saving and emission reduction effects of the digital economy are more significant in northeastern cities, large cities, and resource-based cities. The mechanism test shows that the digital economy promotes urban energy saving and emission reduction through green technological progress, mainly because the energy saving from green technological efficiency improvements exceeds the energy rebound from green technological innovation. However, the digital economy has not shown energy saving and emission reduction effects by promoting industrial structural transformation. Specifically, the structural transformation of the secondary industry contributes to urban emission reduction, while the structural transformation of the primary and tertiary industries leads to efficiency loss of energy saving and emission reduction. Our findings provide valuable insights into the synergistic governance of "energy saving" and "emissions reduction" in cities in the digital economy.

Digitalization, Electricity Consumption and Carbon Emissions-Evidence from Manufacturing Industries in China

The development of China's manufacturing industry is constrained by factors such as energy and resources, and low-carbon development is arduous. Digitalization is an important method to transform and upgrade traditional industries. Based on the panel data of 13 manufacturing industries in China from 2007 to 2019, a regression model and a threshold model were used to empirically test the impact of digitalization and electricity consumption on carbon emissions. The research results were as follows: (1) The digitalization level of China's manufacturing industry was steadily increasing; (2) The proportion of electricity consumption in China's manufacturing industries in the total electricity consumption hardly changed from 2007 to 2019, basically maintaining at about 6.8%. The total power consumption increased by about 2.1 times. (3) From 2007 to 2019, the total carbon emissions of China's manufacturing industry increased, but the carbon emissions of some manufacturing industries decreased. (4) There was an inverted U-shaped relationship between digitalization and carbon emissions, the higher the level of digitalization input, the greater the carbon emissions of the manufacturing industry. However, when digitalization develops to a certain extent, it will also suppress carbon emissions to a certain extent. (5) There was a significant positive correlation between electricity consumption and carbon emissions in the manufacturing industry. (6) There were double energy thresholds for the impact of labor-intensive and technology-intensive manufacturing digitalization on carbon emissions, but only a single economic threshold and scale threshold. There was a single scale threshold for capital-intensive manufacturing, and the value was -0.5352. This research provides possible countermeasures and policy recommendations for digitalization to empower the low-carbon development of China's manufacturing industry.

The impact of income inequity on energy consumption: The moderating role of digitalization

Income inequity and energy consumption have become important issues for sustainable development, and digitalization offers unlimited potential for bridging the income gap and decreasing energy consumption. Based on an international perspective, we confirm the impact of income inequality on energy consumption in 108 countries from 2000 to 2019 and then explore the moderating and threshold effects of digitalization on the impact of income inequality on energy consumption. The empirical results indicate that income inequality causes a surge in energy consumption, and the dynamic SYS-GMM results suggest that for every 1 unit increase in income inequality, energy consumption increases by 0.003 unit. The moderating effect suggests that digitalization helps mitigate the impact of a 3.654% surge in energy consumption caused by income inequality. In comparison, digitalization has a significant moderating effect on energy consumption in middle- and high-income countries (Europe, the Americas, and the Asia-Pacific region), and the moderating effect of digitalization is effective in both free and non-free economies. The dynamic SYS-GMM threshold panel models reveal a non-linear relationship between income inequality and energy consumption affected by digitalization. This provides international evidence that reveals the underlying mechanisms of digitalization, income inequality, and energy consumption. It will better guide countries in harnessing digital dividends to overcome the twin dilemmas of the income gap and energy poverty.

Can China's ecological civilization strike a balance between economic benefits and green efficiency? A preliminary province-based quasi-natural experiment

To encourage the building of a development route for ecological civilization construction which commensurates with China's unique national conditions, early demonstration and pilot ecological civilization zones should be built. This study aims to investigate the effects of ecological civilization construction policies on regional total factor productivity, green total factor productivity, and the methods of action by using panel data from 30 provinces in Mainland China from 2005 to 2020. Our findings indicate that the pilot eco-civilization policies have a more significant effect on the promotion of green total factor production, while the effect on total factor productivity is average. Furthermore, the main purpose of the ecological civilization construction pilot is to improve the level of green innovation, optimise the industrial structure and promote the allocation of factors to achieve a win-win situation for regional economic development and green benefits. Moreover, under different levels of economic growth, the pilot eco-civilization policies have a more significant effect on the promotion of green total factor at various stages of economic growth and industrialization. There are also clear discrepancies in how well ecological civilization construction programmes are implemented. Thus, in order to support high-quality regional economic development, it is crucial to continue to advance and promote the pilot eco-civilization initiatives.