How does energy poverty affect economic development? A panel data analysis of South Asian countries

Can the digital economy empower urban energy resource transition? A natural gas perspective

The diffusion effect of the digital economy (DEN) has become increasingly prominent, but few scholars have investigated the energy transition effect of China's DEN. To this end, this study takes 207 cities in China as the research object to explore the potential role of DEN development in boosting energy resource transition (ERT). The endogeneity and asymmetry between variables are also analyzed. We find that (i) China's urban DEN and ERT show a synchronized fluctuating upward trend from 2006 to 2019; (ii) both DEN and ERT show significant positive nexus; put differently, the rapid evolution of DEN can significantly help enhance the strength of ERT; and (iii) substantial heterogeneity exists at different quantiles. In 10th and 90th quantiles, the impacts of DEN on ERT are insignificant, and both DEN and ERT exhibit significant positive linkage in 25th, 50th, and 75th quantiles. To this end, we put forward corresponding policy recommendations to boost ERT from the perspective of DEN.

From darkness to light: Unveiling the asymmetric nexus between energy poverty and environmental quality in South Asia

Energy poverty alleviation has emerged as a critical economic problem in recent years. Given the enormous number of people without essential energy services, a crucial concern is whether providing universal access to electrification will considerably affect environmental quality. The present research evaluates the asymmetric energy poverty-environmental quality nexus in South Asian economies. Previous works adopted panel data techniques, resulting in distinctive conclusions about the energy poverty-environmental quality nexus, irrespective of the truth that several nations could not establish such a correlation separately. This research, conversely, applies the Quantile-on-Quantile methodology, which enables independent determinations of time-series interconnection in all nations to offer worldwide yet economy-particular evidence concerning the relationship between the variables. The results indicate that energy poverty degrades environmental quality in most selected economies at particular data distribution quantiles. Moreover, the findings disclose that the ranks of asymmetries between the variables change by country, emphasizing the requirement of governments to take special care when accepting policies linked to energy poverty and environmental quality.

Household unclean fuel use, indoor pollution and self-rated health: risk assessment of environmental pollution caused by energy poverty from a public health perspective

The lack of access to clean energy remains one of the major challenges in the global energy sector. Access to clean, sustainable and affordable energy, outlined in the seventh Sustainable Development Goals (SDG 7) of the United Nations, plays a crucial role in advancing health (SDG 3), as unclean cooking energy may endanger people's health by causing air pollution. However, due to endogeneity problems such as reverse causality, the health consequences of environmental pollution caused by unclean fuel usage are difficult to be scientifically and accurately evaluated. This paper aims to systematically assess the health cost of unclean fuel usage based on tackling endogeneity, using the data from Chinese General Social Survey. The ordinary least squares model, ordered regression methods, instrumental variable approach, penalized machine learning methods, placebo test, and mediation models are applied in this research. Analytical results demonstrate that households' unclean fuel use significantly damages people's health. Specifically, the use of dirty fuel leads to an average of about a one-standard-deviation decline in self-rated health, demonstrating its notable negative effect. The findings are robust to a series of robustness and endogeneity tests. The impact mechanism is that unclean fuel usage reduces people's self-rated health through increasing indoor pollution. Meanwhile, the negative effect of dirty fuel use on health has significant heterogeneity among different subgroups. The consequences are more prominent for the vulnerable groups who are female, younger, living in rural areas and older buildings, with lower socio-economic status and uncovered by social security. Therefore, necessary measures should be taken to improve energy infrastructure to make clean cooking energy more affordable and accessible as well as to enhance people's health. Besides, more attention should be paid to the energy needs of the above specific vulnerable groups faced with energy poverty.

Impacts of workplace automation on energy poverty: The new challenge of achieving SDG 7 in the context of technological revolution

This paper systematically examines how workplace automation impacts energy poverty from a demand-side perspective, revealing a new challenge for Sustainable Development Goal 7 (SDG 7) in the context of technological revolution. Our research demonstrates that workplace automation significantly increases household energy poverty. This finding is robust when using the instrumental variable approach to tackle endogeneity, as well as employing different automation and energy poverty measures, placebo tests, and machine learning methods for robustness checks. Automation's impact mechanism is that it reduces people's income and work-related social capital, thus exposing households to higher risks of energy poverty. Moreover, its consequences are more prominent for rural households, less educated people, non-migrants, those without labor contracts, non trade-union members, and out-of-system workers. Thus enhancing human capital, promoting free movement of workers, and providing better labor protection contribute to weakening the adverse impact of the technological shock. Meanwhile, we find that improving the price reasonability, stability, security and accessibility of energy supply can also mitigate the negative effects of workplace automation on household energy consumption. In the dual context of the fourth technological revolution promoting industrial automation as well as the increasing urgency to achieve SDG 7, findings of this paper have important policy implications.

Is energy poverty of Eastern European countries a threat or opportunity in the European Union's fight against climate change?

Energy poverty is a critical global issue that affects millions of people worldwide. The lack of access to reliable and affordable energy services has significant economic and social impacts, including limited opportunities for education, personal development, and economic growth. This paper examines the relationship between energy poverty and economic development in selected countries using the panel quantile methodology. The findings emphasize the importance of addressing energy poverty in order to foster economic growth in the selected country group. In addition, CO2 emissions have a positive effect on economic growth, but policies to reduce fossil fuel consumption can both boost economic growth and mitigate negative environmental impacts. Inflation has a negative effect on economic growth, so policymakers should prioritize measures to control it. Employment has a positive effect on economic growth, so job creation policies should be promoted. The study found that improving access to clean energy can increase economic growth and improve the well-being of citizens in Eastern European countries. Therefore, efforts to reduce energy poverty should be a priority to promote economic development and improve the quality of life.

Investigating symmetrical influence of economic expansion, oil price, and industrial production on trade deficit: a policy pathway toward three neighboring Asian states

The intense objective of the present study is to investigate the symmetrical effectiveness of economic expansion, inflation rate, oil price, interest rate, and industrial production on trade deficit of the three neighboring states (China, Pakistan, and India). Westerlund bootstrap LM (Lagrange multiplier) panel co-integration test, Dumitrescu Herlin method, PMG-ARDL model, quantile regression, and quarterly data of last 15 years (2006Q1 to 2020Q4) have been utilized to envisage outcomes. Initial measurements validate the existence of stable co-integration and uni-directional causality among variables. Nevertheless, PMG-ARDL measures evaluates that in both long and short span of time, except industrial production all other regressors (economic expansion, inflation rate, oil price, and interest rate) positively influences the trade deficit in three neighboring states. Furthermore, robust estimates of quantile regression also authenticate the correctness of the above discuss relationship in study economies by evaluating positive (negative) impact of economic expansion, inflation rate, oil price, and interest rate (industrial production) on trade deficit. Thus, in policy pint of view, to lessen trade deficit hazard in studied economies, it is necessarily needed to encourage industrial production, replaced fossil fuel using outdated gadgets with advance green technology instruments, control inflation, and interest rate in single digit through strong budgetary and monetary policies and maintain economic expansion with appropriate and comprehensive taxation system.

Economic growth and environmental technology simultaneously important for reducing energy poverty and ecological footprint in E7 economies: do political institutions play a role?

Energy poverty and climate change are major concerns for the emerging seven countries. Therefore, this study explores the economic growth impact on reducing energy poverty and ecological footprint in the emerging seven economies from 2000 to 2019. Energy poverty is measured using three disciplines: availability poverty, accessibility poverty, and affordability poverty. We applied a new dynamic method, "bias-corrected method of moments estimators (2021)," for long-run outcomes. This study used the environmental Kuznets curve-approach to measure economic growth's scale effect and technique effect to reduce energy poverty and ecological footprint. Importantly, the study explores the mediating role of politically stable institutions in mitigating environmental and energy poverty. Our findings validate that energy poverty and ecological footprint could not reduce at the initial stage of economic growth. However, the later development stage shows a positive effect on reducing energy poverty and ecological footprint. These results validated an inverted U-shaped Kuznets curve hypothesis for emerging seven. Further, the result found that strong political systems are more quick-witted and have the legislative power to swiftly implement beneficial policies to pull out of the vicious circle of energy poverty. Further, environmental technology significantly reduced energy poverty and ecological footprint. The causality analysis entails that a bidirectional exists between energy poverty, income, and ecological footprint.

An empirical investigation of the effects of poverty and urbanization on environmental degradation: the case of sub-Saharan Africa

This study empirically investigates the effects of poverty and urbanization on environmental degradation for a sample of 43 sub-Saharan African (SSA) economies from 1995 to 2018. The major contribution of the study lies in examining the existence of non-linear effects of poverty and urbanization on environmental degradation. We considered a set of institutional and demographic factors to explain the dynamics among poverty, urbanization, and environmental degradation. Findings suggest that an increase in the poverty gap significantly contributes towards intensifying environmental degradation in SSA countries. Results also show the existence of a non-linear relationship between poverty and environmental degradation. The findings purpose several crucial policy recommendations which necessitate the participation of different stakeholders such as government, institutions, researchers, non-profit organizations and citizens for the effective implementations of environment-friendly policies. A battery of robustness tests confirms the validity of the main findings of the study.

Financial sector development and energy poverty: empirical evidence from developing countries

This study empirically assesses the significance of financial sector development in determining the energy poverty of developing countries. The study utilizes a sample of 110 developing economies over a period ranging from 1990 to 2020. The analysis is based on the traditional econometric techniques comprising pooled OLS, fixed-effects, and random-effects and Driscoll and Kraay's robust standard error approach for pooled OLS, fixed effects, and random effects. To account for a possible endogeneity problem, the study also uses the system GMM model. Our empirical outcomes verify a positive role of financial sector development in alleviating energy poverty of the sample economies. The findings also provide a supportive role of output growth, foreign direct investment, and urbanization in helping accessibility to energy services. These outcomes have strong policy implications for developing economies.

Chronic energy poverty in China: measurement and estimation with a new approach

Energy poverty has multidimensional and dynamic nature and is hard to measure quantitatively. This paper combines AF double-cut-off method, and the duration analysis approach to develop both the CUEP index and CMEP index and utilizes the Cox proportional hazard model to check the role of energy efficiency in poverty alleviation. Results are based on data in the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018. The findings suggest that 75.887% of households are deprived of CUEP, and nearly 50% of the residents are suffering from CMEP in China. Additionally, nearly 33.546% of the households are deprived only in the dimension of affordability, and there is an obvious overlap between the incidence of two indexes, of which 42.372% of the households simultaneously suffer from deprivation in affordability, accessibility, and availability. Finally, the improvement in energy efficiency reduces the duration of energy poverty and increases the state transition of energy poverty. The presented concept and approach could be expanded to investigate energy poverty in other developing countries and assist policymakers to assess the benefits of energy policies.

How do clean fuels and technology-based energy poverty affect carbon emissions? New evidence from eighteen developing countries

Clean fuels and technology-based energy is an essential source to achieve sustainable economic growth and development. Therefore, the relationship between all types of poverty and other socioeconomic indicators has been studied extensively; nevertheless, clean fuels and technology-based energy poverty, adjusted for carbon emissions, has not been studied. The current study examines the impact of clean fuels and technology-based energy poverty on carbon emissions (Co2e). Using System-Generalized Method of Movement (SGMM) estimators, this study utilized panel data from eighteen developing countries in Asia from 2006 to 2017. The empirical findings obtained from econometric model suggest the presence of clean fuels and technology-based energy poverty and its curse on environment, i.e., energy poverty positively affects Co2e growth in Asian developing countries. Furthermore, economic growth (GDP), trade, and population are also positively associated with Co2e growth and negatively affect environmental quality. Based on the empirical findings of the current study, we recommend robust policy implications that the governments of targeted countries should invest more to increase clean fuels and technologies.

Modeling the Impact of Fiscal Decentralization on Energy Poverty: Do Energy Efficiency and Technological Innovation Matter?

As an important factor affecting economic and social development, energy poverty (EP) has received widespread concern, and many countries have actively proposed policies to eliminate energy poverty. The purpose of this paper is to clarify the current situation of energy poverty in China, explore the factors that affect energy poverty, find sustainable and effective approaches to alleviate energy poverty, and provide empirical evidence for eliminating energy poverty. This research investigates the effect of fiscal decentralization (FD), industrial structure upgrading (ISU), energy efficiency (EE), and technological innovation (TI), as well as urbanization (URB) on energy poverty using a balanced dataset of 30 provinces in China from 2004 to 2017. The empirical outcomes revealed that fiscal decentralization, industrial upgrading, energy efficiency, and technological innovation significantly reduce energy poverty. Moreover, urbanization is positively and significantly correlated with energy poverty. The outcomes further revealed that fiscal decentralization significantly increases the residents' access to clean energy and drives energy management agencies and infrastructure. In addition, the heterogeneity analysis results indicate that the effect of fiscal decentralization in reducing energy poverty is greater in regions with high economic development. Finally, mediation analysis denotes that fiscal decentralization indirectly reduces energy poverty by promoting technological innovation and energy efficiency. Finally, based on the results, policy suggestions for eradicating energy poverty are proposed from the perspective of implementing targeted energy alleviation policies reasonably dividing the rights and responsibilities of local and central governments and encouraging scientific and technological innovation.

Exploring the dynamic nexus between renewable energy, poverty alleviation, and environmental pollution: fresh evidence from E-9 countries

The present study aims to scrutinize the long- and short-run relationship along with the direction of causality among environmental pollution (CO₂), renewable, non-renewable energy, income disparity, exchange rate, and poverty alleviation in E-9 countries of continent Asia, using a panel dataset from 1990 to 2018. The current study used pooled mean group autoregressive distributed lag (PMG ARDL) and Dumitrescu-Hurlin (D-H) causality test after affirming a stable long-run association among environmental pollution and all the explanatory variables. However, ECM (error correction mechanism) was specified to explore short-run dynamics. The study's outcomes confirmed strong co-integration among environmental pollution (CO₂), renewable, non-renewable energy, income disparity, exchange rate, and poverty alleviation. Moreover, uni (bi) directional causality runs from non-renewable energy, exchange rate, and income disparity (poverty alleviation and renewable energy) to environmental pollution (CO₂). Results also revealed that poverty alleviation, exchange rate, and renewable energy usage substantially negatively influence environmental pollution (CO₂). Contrarily, income disparities and non-renewable energy usage positively influence long- and short-run environmental pollution. Therefore, from the policy perspective, the current study focused on twofold; first, there is a desire to alleviate poverty, the decline in non-renewable energy use and income disparity among upper and lower-income quintiles. Second, boost exchange rate and renewable energy use to control environmental pollution in the described least developed countries (LDCs).

The nexus between access to energy, poverty reduction and PM2.5 in Sub-Saharan Africa: New evidence from the generalized method of moments estimators

Poverty reduction and environmental quality are the two main agendas of sustainable development goals. However, recent research suggests that there may be a dilemma between efforts to achieve these two goals. This paper aims to explore the existence of a dilemma between poverty and air pollution (PM_2.5) in Sub-Saharan African countries using dynamic estimation methods. We also try to reveal the socio-economic dynamics that affect poverty and air pollution. Our findings are evaluated in four ways. First, there is strong evidence of a trade-off between poverty and PM_2.5 emissions in African countries. Second, while economic growth and access to energy reduce poverty, they increase air pollution and thus confirm the dilemma. Third, population and trade do not significantly affect poverty, while population increases air pollution and trade decreases it. Fourth, and most notably, human development, property rights and economic freedom reduce both poverty and air pollution. Ultimately, this research supports the poverty-environment dilemma and provides empirical evidence for a solution.

The role of green finance in eradicating energy poverty: ways to realize green economic recovery in the post-COVID-19 era

Realizing green economic recovery and eradicating energy poverty have become China’s strategic priorities in the post-COVID-19 era. In the context of the active advocacy of green finance, to empirically investigate whether green finance can help eradicate energy poverty, this study utilizes provincial sample data to explore the energy poverty eradication effect of green finance. Our study also examines the regional heterogeneity and mediating effect. The main findings are as follows: (1) Green finance is a powerful weapon to alleviate China’s energy poverty and accelerate green economic recovery, indicating that the green evolution of financial institutions is effective means to facilitate green economic recovery in the post-COVID-19 era; (2) green finance only eradicates energy poverty in low energy poverty regions and the eastern areas, and green finance can alleviate energy poverty in both high and low green finance areas; and (3) improved green finance not only directly eradicates China’s energy poverty, but also alleviates current energy poverty by accelerating technical innovation and optimizing the industrial structure. Following the above main findings, this study advances a series of policy implications in terms of facilitating the green transition of the financial industry and realizing green economic recovery.

Reflections of Pro-Poor Growth across Agro-Climatic Zones for Farming and Non-Farming Communities: Evidence from Punjab, Pakistan

The basic objective of the existing study was to inspect the triangular association between economic growth, poverty, and income disparity in farming and non-farming communities across agro-climatic zones in Punjab province, Pakistan. The cross-sectional Household Integrated Economic Survey (HIES) data and Poverty Equivalent Growth Rate (PEGR) methodology were applied from 2001–2002 to 2015–2016. Outcomes of the study found that in a short period, 2001–2002 to 2004–2005; 2004–2005 to 2005–2006; 2005–2006 to 2007–2008; 2007–2008 to 2010–2011; 2010–2011 to 2011–2012; 2011–2012 to 2013–2014; and 2013–2014 to 2015–2016, economic growth has presented hybrid (pro-poor and anti-poor) pattern across both communities of all agro-climatic zones of Punjab province in different periods. In the longer period of 2001–2002 to 2015–2016, economic growth has been pro-poor across both communities of all the zones apart from zone III (Cotton-Wheat Punjab); there is an anti-poor pattern of economic growth. Results for the decomposition of change in poverty further indicate that economic growth is a dominant factor in reducing poverty for all investigated zone. Moreover, a positive redistribution component reduces the beneficial impacts of economic growth for the poor more than for non-poor, that ultimately makes economic development patterns anti-poor in zone III. In the present study, we proposed two-fold policy implications. First, improve the living standard of households in each agro-climatic zone by increasing their incomes. Second, develop a precise taxation system that helps to reduce income disparities among upper-pro to lower-income groups.

Investigating the Relationship Between Entity Financialization, Managers’ Incentives, and Enterprise’s Innovation: Fresh Evidence From China

The current study examines the relationship between financialization, managers’ incentives, and the enterprise’s innovation. Based on the principal-agent and incentive theories, this study proposes a research model with two management incentives as moderating variables between financialization and the enterprise’s innovation. First, we analyze the direct relationship between financialization and the enterprise’s innovation. Second, we examine the moderating effect of managers’ equity incentive and compensation incentives on the relationship between entity financialization and the enterprise’s innovation in high-tech/non-high-tech enterprises and state-owned and non-state-owned enterprises. This study covers the most recent updated data from both A-share listed companies in the Shenzhen and Shanghai stock exchange in China from 2009 to 2019. This study’s finding indicates a significant negative impact of entity financialization and the enterprise’s innovation. It means that the entity financial has a significant “crowding-out” effect on the enterprise’s innovation. This study also confirms that management incentives cannot effectively suppress a “crowding-out” impact of entity financialization on firm innovation because of the principal-agent severe problem in financialization. Finally, considering the heterogeneities of property rights and degrees of dependence on the enterprise’s innovation, a “crowding-out” effect of entity financialization on the enterprise’s innovation is more significant in high-tech and state-owned enterprises. Managers’ equity incentive significantly affects the enterprise’s innovation in high-tech enterprises, while the managers’ compensation incentive affects the enterprise’s innovation in state-owned enterprises. Our study could help the enterprise to improve the company manager’s incentive and provide the optimal assets allocation to improve the enterprise’s innovation ability. Lastly, this study provides significant policies and recommendations for the public sector high-tech enterprise and private sector high-tech enterprises. Moreover, policies and recommendations are fruitful for the public sector non-high-tech enterprise and private sector non-high-tech enterprise.

The Non-Linear Effects of Energy Efficiency Gains on the Incidence of Energy Poverty

Energy poverty is defined as insufficient access to modern energy resources which are relatively cleaner than the traditionally utilized ones. In this regard, the incidence of energy poverty is particularly higher in the cases of the developing countries across the globe. Accordingly, the chronic energy poverty issues in the developing countries within Sub-Saharan Africa have become a major socioeconomic and environmental concern for the associated governments. Hence, this study aims to evaluate the effects of energy efficiency gains and shocks to other key macroeconomic factors on energy poverty in the context of selected Sub-Saharan African nations. In this study, we measure energy poverty in terms of the lack of access to clean cooking fuels and technologies for the population of the selected Sub-Saharan African countries. The overall findings from the common correlated effects panel regression analysis reveal that energy efficiency gains initially aggravate the energy poverty situation but improve it later on; consequently, a U-shaped relationship between energy efficiency and access to clean cooking fuels and technologies is evidenced. Besides, the predicted threshold levels of energy efficiency are observed to be higher than the average energy efficiency level of the Sub-Saharan African nations. Moreover, the results also portray that economic growth, carbon dioxide emissions, foreign direct investment inflows, and international trade are effective in reducing energy poverty. Conversely, financial development is witnessed to be ineffective in influencing the incidence of energy poverty in this region.

Measuring Energy Poverty and Its Impact on Economic Growth in Pakistan

During the last two decades, energy poverty has captured the growing attention of researchers and policymakers due to its strong association with economic poverty and poor economic performance. This study uses a broad set of macro level indicators and makes the first attempt to measure energy poverty and its impact on economic growth of Pakistan over the period of 1990 to 2017. Our energy poverty indicator considers four main dimensions of energy poverty, namely, energy services, clean energy, energy governance and energy affordability. A composite value of the energy poverty index shows that although the overall energy poverty has reduced in Pakistan during the selected sample period, the country shows an increasing dependence on polluted energy supply to meet its growing energy demand. In the second stage of investigation, the study tests the neoclassical growth theory where we incorporate energy poverty along with human capital as a source of economic growth. The main findings show a stable short-run cointegration between energy poverty and economic growth. These strong negative linkages between energy poverty and economic growth for the sample economy complement the previous literature on the subject.

The 'vicious cycle' of energy poverty and productivity: insights from 45 developing countries

This study is the first proper attempt to examine the influence of energy poverty on productivity. Specifically, the study investigates the effects on the level and convergence of total factor productivity of no access to clean fuels and technologies for cooking; no access to electricity in the total population; no access to electricity in the rural population; no access to electricity in the urban population; non-renewable electricity production; and non-renewable electricity consumption. The study examines a global sample of 45 developing countries from 2002 to 2017 and offers three empirical analysis findings. First, the mutual causalities between the five dimensions of energy poverty and total factor productivity are shown by a non-Granger causality test for panel data, except one-direction causality from no access to clean fuels and technologies for cooking to total factor productivity convergence, which hints a 'vicious cycle' of two variables. Second, the two-step system generalised method of moments estimates show significant negative impacts of no access to clean fuels and technologies for cooking and the three variables of no access to electricity on total factor productivity. In contrast, the production and consumption of non-renewable electricity appear to have significant positive effects. Third, the three-stage least squares estimates provide statistical evidence that the effects of energy poverty on total factor productivity are transmitted through human capital accumulation, Internet usage, and the shadow economy.

Financial development and natural resources nexus in Egypt: the role of clean energy sources and foreign direct investment

Purpose

Achieving the goals of the sustainable development strategy and Egypt’s vision 2030 depends mainly on the existence of sources of funds. And since Egypt faces a great challenge in obtaining finance, then analyzing the drivers of financial development is a vital issue and there is a persistent need to shed light on the key obstacles for it. Thus, this paper aims to empirically assess the impact of natural resources, foreign direct investment (FDI) net inflows, education and clean energy sources on financial development in Egypt using the data of the 1971–2014 period.

Design/methodology/approach

The paper uses auto-regressive distributed lag and Toda-Yamomoto approaches to fulfill the purpose.

Findings

Empirical results signify that all variables except natural endowments stimulate financial development which can suggest the presence of the natural resources curse in Egypt. Moreover, the feedback effect between financial development and FDI is recognized. Clean energy sources cause financial development and natural endowments. Financial development causes natural endowments and FDI leads to the deployment of more clean energy resources.

Practical implications

Several crucial policy implications are suggested based upon these results as improving the quality and quantity of education and encouraging both domestic and foreign investors by providing several incentives. Moreover, the government has to enhance green finance through financing solar energy projects and other environmentally friendly projects.

Originality/value

It is the first research for Egypt that explores natural resource-financial development nexus using time series analysis according to our information, and two important variables are included in the model which is clean energy sources and FDI. Then, although several studies examined the impact of financial development on clean energy no empirical study before assessed the impact of clean energy on financial development.

The effects of energy poverty on economic growth: a panel data analysis for BRICS countries

Energy consumption is an indispensable element for the purpose of achieving economic growth. Clean energy sources must be put into use to achieve a sustainable environment. The aim of this study is to investigate the relationship among growth, energy consumption, employment, education, and inflation with PVAR, FMOLS, and DOLS analysis in BRICS countries. The study that covers the 2001-2018 observation period included growth as the dependent variable in the equation. The only common result of the three coefficient estimates is that there is no significant relationship between education and growth. However, the increase in income has a decreasing effect on the level of education. The direction of causality between the two variables is from growth to education. Contrary to the PVAR estimate, according to FMOLS and DOLS, energy consumption and employment have a positive contribution towards growth. However, according to PVAR regression results, income growth has a positive effect on employment. Moreover, a unidirectional causal relation from energy consumption to growth and a bidirectional relation between growth and employment have been determined. This one-way relationship between energy consumption and GDP depicts that the growth hypothesis is valid. Furthermore, an energy poverty problem does not exist in BRICS countries. According to FMOLS, DOLS, and PVAR forecasts, the relationship between inflation and growth is complex. In accordance with PVAR estimates, the increase in growth reduces inflation, and the causality from growth to inflation also supports the PVAR results. According to the outcome of the research, energy poverty is not observed in the panel countries. It would be wise for BRICS countries to increase their energy consumption and employment levels in order to increase growth. However, considering the air pollution caused by fossil fuel consumption, it is key that they employ renewable energy sources.

Factors of Energy Poverty: Evidence from Tibet, China

Energy poverty due to rising energy demand is a matter of global concern. Therefore, examination of the causes of energy poverty and development of effective solutions are urgent concerns. Using survey data on livelihood development in Tibetan farming and pastoral areas in 2019, this study applied logistic and ordinary least squares models to empirically investigate the factors that influence energy poverty in Tibet. We found that energy poverty is (1) unrelated to age, gender, education, marital status, political and village cadre experience, planting, or expenditures related to religious activities; (2) negatively correlated with migrant work, village status, household income, and traffic conditions; (3) positively correlated with employment, area, and breeding; and (4) both positively and negatively affected by family residence altitude. The results offer new insights and empirical evidence for the identification and elimination of energy poverty, improving livelihoods, and promoting rural revitalisation in Tibet.

Exploring the Relationship between Despotic Leadership and Job Satisfaction: The Role of Self Efficacy and Leader-Member Exchange

This study explores the effects of despotic leadership (DL) on employee job satisfaction (JS) using self-efficacy (SE) as a mediating variable and leader–member exchange (LMX) as a moderated variable. Building on the social learning and social exchange theory, our research proposes a research model. In this model, despotic leadership affects employee job satisfaction both directly and indirectly through self-efficacy and leader–member exchange. We used a questionnaire survey analysis approach to collect data. Data were collected from the employees of small- and medium-sized enterprises (SMEs) located in Guangdong Province, P.R. China. A pilot test of 20 participants with similar demographics as the final sample was performed to test the usability of the questionnaire. We distributed 500 questionnaires among the target population. In total, 230 usable questionnaires were returned, resulting in a response rate of 53%. To estimate the proposed relationships in the theoretical framework, we used SPSS and AMOS. The results of this study confirmed that despotic leadership has a negative impact on employee job satisfaction. Moreover, the outcomes of this study indicate that self-efficacy has a mediating effect between despotic leadership and employee job satisfaction. Similarly, the results also confirm that LMX has a moderating effect between despotic leadership and employee self-efficacy. Therefore, we conclude that the community is understanding of the mechanism of despotic leadership, identify the mechanism to effectively deal with its negative effects, broaden the relevant research on the antecedent variable of self-efficacy, and provide practical enlightenment enterprises to retain and employ people.

Coping with Energy Poverty: Measurements, Drivers, Impacts, and Solutions

Energy is required for socioeconomic development, and the world’s energy needs have significantly increased in the last decades. The lack of energy can have severe impacts on a person’s well-being; therefore, energy access should be ensured for everyone in the world. Energy poverty usually refers to a situation where a household cannot be kept adequately warm, but it is a complex issue with many more aspects. This paper aims to present a comprehensive review of the energy poverty problem, particularly presenting various definitions given in the literature that capture the multi-dimensional nature of the problem and analyzing the different ways of measuring energy poverty (expenditure approach and consensual approach). In addition, the impacts of the problem are identified, including health, socioeconomic, and environmental impacts, as well as the drivers that can worsen energy poverty conditions, such as several household characteristics and various socioeconomic and environmental factors. The situation occurring currently in the world is also presented, including studies that focus on different world regions, and the different solutions that can help address the problem are discussed, including changes to the living environments and the use of new technologies.

Exploring the relationship between remittances received, education expenditures, energy use, income, poverty, and economic growth: fresh empirical evidence in the context of selected remittances receiving countries

This study explores the relationship between remittances received, education expenditure, energy use, income, poverty, and economic growth for a panel of the nine selected remittance-receiving countries (Bangladesh, China, Egypt, India, Indonesia, Mexico, Nigeria, Pakistan, and Philippines). World Development Indicator database is used for retrieving data from the period of 1990 to 2014. Panel cointegration technique is used to test the long-run relationship among studied variables. Furthermore, the autoregressive distributive lag (ARDL) model is applied to confirm the presence of a long-run and short-run relationship. The findings of the ARDL model indicate that remittances received positively influence economic growth, and there is a significant relationship between remittances received and economic growth during the long-run. Education expenditure, energy use, and income also positively and significantly impact economic growth during the long-run. In contrast, final household consumption used in this study as a proxy of poverty showed a significant negative effect on economic growth during the long-run, which indicates that increasing poverty will reduce economic growth; on the other hand, reducing poverty will boost economic growth in the selected countries during the long-run.

How Toxic Workplace Environment Effects the Employee Engagement: The Mediating Role of Organizational Support and Employee Wellbeing

This study explores the effects of a toxic workplace environment (TWE) on employee engagement (EE). Building on conservation of resources (COR) theory and organizational support theory (OST), this study proposed a research model. In this research model, a toxic workplace environment negatively affected employee engagement, directly and indirectly, through organizational support (OS) and employee well-being (EW). In this study, we used a quantitative research approach, and data were collected from 301 workers employed in the small and medium-size enterprises of China. To estimate the proposed relationships of the research model, we used partial least squares structural equation modeling (PLS-SEM 3.2.2). The results of this study confirmed that a toxic workplace environment has a negative impact on employee engagement. Moreover, the findings of this research confirm that organizational support and employee well-being significantly mediate a toxic workplace environment and employee engagement. The conclusions of this study are as follows: First, the direct relationship between a toxic workplace environment and employee engagement confirms that if employees are working in a toxic environment, they will spread negative feelings among other co-workers. The feelings that come with a toxic workplace environment, i.e., harassment, bullying, and ostracism, can be detrimental and lead to unnecessary stress, burnout, depression, and anxiety among the workers. Second, employee well-being will affect employee behaviors that enhance employee engagement with the work as well as with the organization. Third, organizational support also increases employee engagement with the work as well as with the organization. So, it is also confirmed that when workers perceive the support from the organization, their sense of belonging to the organization is strengthened.

The Relationship between Workplace Violence and Innovative Work Behavior: The Mediating Roles of Employee Wellbeing

It has been contended that violence is prevalent in the workplace, and there has been increasing research interest into its potential effects. Human interactions at workplaces are apparent. However, the interactions among humans may have positive or negative dimensions. Usually, the positive or negative interactions between workers lead to different outcomes. Sometimes, they lead to a productive working environment; however, in some cases, they lead to toxicity among workers. In this study, we investigate the impact of workplace violence (WV) on innovative work behavior (IWB). Specifically, it examines the impact of the three dimensions of WV, namely, harassment, mobbing, and sabotage. Moreover, employees’ wellbeing mediates the relationship between WV (harassment, mobbing, and sabotage) and IWB. A questionnaire survey approach was used in this study. The target population were the workers of SMEs entrepreneurs located in Guangdong Province (China). The results confirm that, in the direct relationship, WV (harassment, mobbing, and sabotage) has a negative relationship with innovative IWB. Moreover, results also confirm that employee wellbeing is mediated between WV (harassment, mobbing, and sabotage) and IWB. Therefore, the empirical results of this paper identify that workplace violence reduces employees’ innovative work behavior by reducing their subjective and eudemonic wellbeing, which further broadens the perspective of IWB’s motivation analysis. Practical implications for small and medium enterprise organizations have also been discussed in this paper.