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Green fiscal policies are becoming prominent policy instruments for achieving energy transition. However, while the effectiveness of these policies on renewable energy outcomes have been well documented, the economy-wide impacts are rarely studied. This study examines the economy-wide and environmental impacts of renewable energy production subsidy in Nigeria. The study provides a novel modeling framework for analysing fiscal and other incentives for green energy in Nigeria by incorporating self-generated electricity, which is a major component of electricity supply in Nigeria, into a macroeconomic model. The study uses a Computable General Equilibrium (CGE) model to analyse the effectiveness and economic impacts of renewable energy production subsidy in Nigeria. CGE models are commonly used to assess the economy-wide impacts of public policy. Specifically, the PEP-1-1 model, which is a static single-country model, is used for the analysis. The model is calibrated on Nigeria's updated social accounting matrix (SAM). The results of the analysis show that renewable energy production subsidy is effective in enhancing the development of the renewable-electricity sector and encouraging the use of renewable electricity but does not significantly reduce the use of conventional electricity sources. The subsidy, if financed by public deficit, has positive impacts on real economic outcomes such as GDP, household income, welfare, and employment, but has a smaller effect on CO2 emissions. In contrast, the economic effects are mostly negative, but the CO2 emissions-reduction effects are larger if the subsidy is financed by reallocation of public expenditure. In addition, the effects on sectoral outputs are mixed. The results of this study can be used by policy makers to ascertain how to finance green subsidies in fiscally constrained and energy-poor developing countries. Specifically, policy makers should take cognizance of economic and feedback effects when designing and implementing environmental policies. Beyond Nigeria and the specific case of fiscal subsidies, the modeling framework presented in this study can be applied to other green energy policies and can be adapted to other developing countries. [ABSTRACT FROM AUTHOR]

With the energy structure transition and the development of the green power market, the role of electricity retailers in multi-market green power trading has become more and more important. Particularly in China, where aggressive green energy policies and rapid market transformations provide a distinct context for such studies, the challenges are pronounced. Under demand-side response, electricity retailers face the uncertainty of users' electricity consumption and incentives, which complicates decision-making processes. The purpose of this paper is to explore the optimization decision-making problem of multi-market green power trading for electricity retailers under demand-side response, with a special focus on the Chinese market due to its leadership in implementing substantial green energy initiatives and its potential to set precedents for global practices. We first construct a two-party benefit optimization model, which comprehensively considers the profit objectives for electricity retailers and utility maximization for users. Then, the model is solved by the Lagrange multiplier method and distributed subgradient algorithm to obtain the optimal solution. Finally, the effectiveness of the incentive optimization strategy under the multi-market to promote green power consumption and improve the profit of electricity retailers is verified by arithmetic simulation. The results of this study show that the incentive optimization strategy under multi-market, particularly within the Chinese context, is expected to provide a reference for electricity retailers to develop more flexible and effective trading strategies in the green power market and to contribute to the process of promoting green power consumption globally. [ABSTRACT FROM AUTHOR]

The proliferation of green industrial policy strategies around the world is taking place within a broader global context of a turn toward deglobalization and the pursuit of national self-sufficiency. The political economy of domestic renewable energy support and the basic principles of global trade regimes are in direct conflict, with direct implications for nations' abilities to transition to low-carbon economies. Many are calling for decoupling clean energy supply chains from China, yet such responses could slow the global clean energy transition, increasing the cost of deployment in developing countries. [ABSTRACT FROM AUTHOR]

China's coastal region is the major geographical unit for the future development of China's industrial sector. The transformation of basic structure to high-class development in China's coastal places is a significant tool for promoting the changes related to quality, power and efficiency in regional economic development. In the 21st century, environmental and energy issues have increased worldwide, and challenges related to environmental pollution, energy crises, and ecological imbalances have emerged. To climate change and energy utilization, the sustainable progress of clean energy is the new route of future energy development. Based on China's non-polluting energy growth process in the last ten years, this article explores China's clean/green energy policies and economic growth development plans. Clean energy utilization is crucial for sustainable development in the context of high-quality economic growth and climate change. However, the monetary evolution and carbon emission are not investigated whole from the clean energy aspects. Using Wind energy sources as the acceptable variable, this paper employs threshold regression and impulse functions to assess the energy consumption and economic growth on carbon emission in 30 Chinese provinces over the 2000 to 2020 period. The Deep Belief Network (DBN) model predicts wind energy utilization and efficiency. The results show that economic development and carbon emissions are connected. Further, growth influences promote the offset of carbon emissions. Green innovation alters the nexus of carbon emissions, and China's economy reduces carbon usage. It provides the decision-making policies for clean energy development. • China's Coastal region is the major geographical unit for the future development of China's industrial. • In high-quality economic growth and climate change, clean energy use is vital for sustainable development. • The utilization of wind energy and it's efficiency is predicted using Deep Belief Network (DBN) model. • Empirical results link economic growth with carbon emissions, showing growth promotes emissions offset. • Green innovation changes the economic growth-carbon link, aiding China's carbon reduction efforts. [ABSTRACT FROM AUTHOR]

Green energy policies have spread globally, as a means to promote societal transition towards more sustainable pathways of growth. In this framework, the European Union posed as a key actor, identifying the promotion of green energy policies as a cornerstone of all its strategies for green transition. While the literature has generally recognised the ongoing harmonisation process, still scant attention has been paid to the assessment of differentials in the diffusion of policies promoting various typologies of renewable energy sources. Moreover, the role of domestic factors tends to be overlooked. Based on these premises, the present research has aimed to study the role played by both policy diffusion mechanisms and adopting countries' characteristics for explaining the emulation of renewable energy policies. Our main results show that coercion enhances the likelihood of policy emulation, while the other mechanisms differently influence the policymaking process, based on the typology of renewable and on the level of development of the country. These results set the stage for relevant policy implications for promoting coordination and abatement of normative barriers existing among EU Member States. These recommendations become even more relevant given the unprecedented investments planned by the EU through the REpowerEU plan. [ABSTRACT FROM AUTHOR]

Green energy efficiency (GEE) is pivotal for sustainable economic growth, particularly in the context of China's ambitious environmental goals. This study assesses the impact of Green Financial Reform and Innovation Pilot Zones on GEE from 2005 to 2020, using the SBM-GML method and a Double Difference Model (DID). Findings indicate a significant improvement in GEE within these zones, driven by advancements in green innovation and environmental regulation. At the micro level, firms in pilot zones show enhanced Environmental, Social, and Governance (ESG) performance and experience fewer financial constraints. The effectiveness of green finance policies is more pronounced in resource-rich and financially efficient regions, suggesting that these initiatives can significantly contribute to sustainable development. Based on empirical evidence, we recommend expanding pilot zones, promoting green technological innovation, and developing tailored green finance policies to address regional ecological sensitivities. [ABSTRACT FROM AUTHOR]

Based on 196 prefecture-level cities in China from 2006 to 2021, this paper constructs a weight matrix of urban economic geography and uses the spatial differential model to verify the impact of smart city policies on urban green energy efficiency. The results show that the efficiency value of green energy fluctuates in Chinese cities. Different test results show that smart city policies can effectively improve urban green energy efficiency, but mainly from the time effect rather than the individual effect. It means the improvement in urban green energy efficiency comes more from the fast-growing of the Chinese economy and urban construction in this period than from the country's smart city pilot policy. In addition, from the spatial spillover effect result, China needs to design a better urban spatial development plan to improve the capacity of smart city energy services and vigorously develop intelligent technology represented by information and communication science. [ABSTRACT FROM AUTHOR]

Green credit can alleviate the financing constraints of green enterprises, and thus is an important policy to encourage green development and mitigate climate change. However, how green credit affects the technological innovation of clean energy enterprise (TICEE) and the role of corporate policy catering behavior (CPCB) both need to be further explored. Therefore, the impact mechanisms of green credit and the roles of CPCB are empirically tested by the mediation model and moderation model, respectively. Compared with large, eastern and mature enterprises, green credit plays a stronger positive role in the technological innovation of small, central and western and growing enterprises. Green credit optimizes enterprises' debt financing by alleviating financing constraints, reducing debt costs and extending debt maturity structure, thus driving technological innovation. Besides, the two most typical types of CPCB — research and development (R&D) manipulation and rent-seeking — weaken the positive effect of green credit on TICEE. However, CPCB weakens less on the quality of innovation of large, mature and eastern enterprises. Accordingly, green credit should be strengthened to promote TICEE, and the supervision of corporate speculation should also be strengthened to avoid the policy's failure. [Display omitted] • Green credit promotes the technological innovation of clean energy enterprises. • Corporate financing constraints, debt cost and debt maturity mediate the effect. • Policy catering behavior inhibits the role of green credit in corporate innovation. • The effects are stronger on small, growing enterprises in developing regions. • Various policy priorities and avoiding corporate speculation should be highlighted. [ABSTRACT FROM AUTHOR]

Achieving the global decarbonization goal under global conflicts is becoming more uncertain. Within this context, this article seeks to examine the effects of global environmental management and efforts to achieve this goal. Specifically, it investigates the role of democracy, control of corruption, and civil society participation as mechanisms that moderate the impact of environmental policy and legislation, particularly clean energy policy and climate change legislation (laws and regulations), on carbon emissions in highly polluted countries. The empirical results show that (i) the effects of democracy-clean energy policies and climate change legislation are relatively small in reducing carbon emissions; (ii) the effect of controlling corruption-climate change regulations is strong in reducing emissions, meaning that governments with higher control of corruption are more effective at enacting and executing laws and regulations dealing with environmental challenges which help achieve desirable environmental outcomes; (iii) strong civil society participation helps the execution of clean energy policies and climate change legislation to curb emissions, and (iv) the robustness check also provides strong evidence that higher control of corruption can contribute to the effectiveness of these policies and legislation in reducing carbon emissions. Overall, these findings suggest that the efficiency of well-designed environmental policy and legislation should be supported by a combination of higher civil society participation and greater control of corruption that can efficiently enforce such policies and legislation. • We examine the role of climate policies and legislation (CPL) in meeting net-zero emission. • We focus on the moderating role of democracy, control of corruption, and civil society. • The interaction effects of democracy and CPL on reducing carbon emissions are relatively small. • Corruption control complements climate change regulations for reducing carbon emissions. • Strong civil society participation complements CPL for reducing carbon emissions. [ABSTRACT FROM AUTHOR]

The ongoing invasion of Russia of Ukraine and energy crises have sparked concern about economic and geopolitical stability all over the world. In Europe, the war has destabilized and endangered the energy cooperation and transition between European countries within and outside of the EU. This emergency has shown once more the importance of energy resilience policies to offset the vulnerability of energy systems and energy insecurity at the national and regional levels. Consilience has been reached on the necessity of enhancing EU energy security as an adaptation strategy. This work contributes to the existing scholarship on renewable energy transition and citizens' perception, focusing on European Union member states. Key characteristics of the renewable energy transition in the EU prior to the energy crisis and the war in Ukraine are examined. To this end, we analyze selected economic, environmental, social, policy and political variables on energy sorting from the Eurobarometer studying European citizens' perceptions. The exercise makes use of spatially-clustered regression to explore spatial heterogeneity and to elicit determinant information on specific regional groups. We learn that southern Europeans attribute less importance to energy infrastructure to facilitate the renewable energy transition and repute the EU solidity not a requirement for energy security access. Conversely, northern European citizens tend not to associate the responsibility of the EU in guiding competitiveness and policy toward green energy sources transformation. Robustness tests confirm our hypothesis. Regardless of regional differences, the EU energy and ecological transition will thrive with industrial and political cohesion. This process will pass through increased trust in institutions and dedicated energy policy action which will smooth the risks and disruptions coming from current and future shocks. • Eurobarometer variables European citizens' perceptions of renewable energy transition are analyzed. • Spatial heterogeneity statistics builds regional clusters southern Europeans ex-ante analysis of the Ukraine war and energy crisis. • Southern Europeans attribute less importance to energy infrastructure for renewable energy transition • Southern Europeans repute EU solidity not a requirement for energy security access. • Northern European citizens do not associate EU competitiveness with green energy sources transformation. [ABSTRACT FROM AUTHOR]

Given the global inclination of economies toward green solutions, the current study aims to explore the association between green energy transition, adjusted net saving, energy intensity, and carbon dioxide emission in China. To achieve this, a novel approach utilizing Wavelet analysis is employed to examine the dynamic association among these variables from 1979 to 2020. The analysis utilized continuous wavelet, wavelet coherence, and partial and multiple wavelet coherence techniques, offering a comprehensive understanding beyond the limitations of prior research by investigating the relationships over various time frames. The findings from the wavelet coherence analysis yielded intriguing insights, indicating that an increase in energy transition is likely to result in higher energy intensity and increased CO2 emissions. Surprisingly, the study observed a negative impact of adjusted savings on energy transition in the medium run, whereas in the long term, an increase in adjusted net savings was associated with higher carbon emissions in the Chinese economy. This highlights the intricate interplay between energy transition, adjusted savings, and environmental impacts, with different time scales playing a significant role in shaping these connections. Policymakers should carefully consider these dynamics to formulate effective strategies for sustainable development and carbon emission reduction in China. Furthermore, employing partial and multiple coherence analysis, the outcomes has demonstrated a strong interconnected correlations between energy intensity, green energy transition, CO2 emissions, and adjusted net savings across short-run, medium-run, and long-run time frequencies. Overall, the study concludes the positive link between energy and carbon emissions in China, while the effectiveness of the green energy transition remains vulnerable. The findings offer valuable insights for informed decision-making and policy implications, facilitating the adoption of appropriate measures to promote a greener and more sustainable future in China. • Study explores green energy transition, net saving, energy intensity, and CO 2 in China. • Advanced time-frequency based Wavelet analysis is used to analyze asymmetric relationships. • Energy transition is found to have positive link with CO 2 and energy intensity. • Net adjusted saving have positive effect on CO2 but negative on energy transition. [ABSTRACT FROM AUTHOR]