Author
Jianda Wang
Bio: Jianda Wang is an academic researcher from Beijing Institute of Foreign Trade. The author has contributed to research in topics: China & Economics. The author has an hindex of 2, co-authored 4 publications receiving 13 citations.
Topics: China, Economics, Greenhouse gas, Renewable energy, Panel data
Papers
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TL;DR: In this article , the authors investigated the effect of the digital economy on the structure of renewable energy consumption and generation by employing panel data of 72 countries covering the period 2003-2019.
Abstract: Considering the potential relationship between the digital economy and energy transition, we investigate the effect of the digital economy on the structure of renewable energy consumption and generation by employing panel data of 72 countries covering the period 2003–2019. We also investigate the mediating effect of government governance, asymmetry, and heterogeneity between the digital economy and energy transition, and draw several results. First, the digital economy positively affects energy transition; in other words, a 1% increase in the digital economy will boost the renewable energy consumption structure by 0.021% and renewable energy generation structure by 0.106%. Moreover, the digital economy stimulates the renewable energy transition by promoting governments’ governance capabilities. In addition, according to the asymmetric check, the positive effect of the digital economy on energy transition is stronger at higher quantiles. Finally, heterogeneity results indicate that the digital economy positively contributes to renewable energy transition in the high-income countries, and there are regional heterogeneities in the impact of the digital economy on energy transition. These research findings offer valuable policy implications for governments and scholars.
87 citations
59 citations
TL;DR: In this paper, the impacts of renewable energy on CO2 emissions by employing the Generalized Divisia Index Method (GDI) was investigated. But the GDI method was not applied in this paper.
Abstract: To explore how renewable energy reduces carbon dioxide (CO2) emissions, this study decomposes the impacts of renewable energy on CO2 emissions by employing the Generalized Divisia Index Method (GDI...
58 citations
TL;DR: Wang et al. as discussed by the authors explored how information and communication technology (ICT) agglomeration affects the region's carbon emissions by employing a balanced dataset of 41 cities in the Yangtze River Delta region for the period 2003-2016.
55 citations
TL;DR: Wang et al. as discussed by the authors decompose the production structure factors of the digital industry on China's embodied carbon emissions into a direct structural effect and indirect structural effect of DI between 2002 and 2018.
53 citations
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TL;DR: In this article , an extension of the Theory of Planned Behaviour (TPB) was used to evaluate farmers' intentions to install a photovoltaic (PV) water pump in rural Pakistan and the farmers willingness to pay extra for green electricity.
156 citations
TL;DR: Wang et al. as discussed by the authors analyzed the impact of financial inclusion on the collaborative reduction of pollutant and carbon emissions using a sample of 30 Chinese provinces from 2011 to 2017, and showed that financial inclusion achieves the collaborative reductions of carbon emissions.
91 citations
TL;DR: In this paper , the authors assessed the progress of commercial building operations in 16 countries over the last two decades considering socioeconomic, technical, climatic and end-use factors through the decomposing structural decomposition method.
88 citations
TL;DR: In this article , the authors investigated the effect of the digital economy on the structure of renewable energy consumption and generation by employing panel data of 72 countries covering the period 2003-2019.
Abstract: Considering the potential relationship between the digital economy and energy transition, we investigate the effect of the digital economy on the structure of renewable energy consumption and generation by employing panel data of 72 countries covering the period 2003–2019. We also investigate the mediating effect of government governance, asymmetry, and heterogeneity between the digital economy and energy transition, and draw several results. First, the digital economy positively affects energy transition; in other words, a 1% increase in the digital economy will boost the renewable energy consumption structure by 0.021% and renewable energy generation structure by 0.106%. Moreover, the digital economy stimulates the renewable energy transition by promoting governments’ governance capabilities. In addition, according to the asymmetric check, the positive effect of the digital economy on energy transition is stronger at higher quantiles. Finally, heterogeneity results indicate that the digital economy positively contributes to renewable energy transition in the high-income countries, and there are regional heterogeneities in the impact of the digital economy on energy transition. These research findings offer valuable policy implications for governments and scholars.
87 citations
TL;DR: In this article , the authors examine how agricultural productivity is affected by carbon emissions, deforestation, renewable energy consumption, natural resources, and regional integration for the ten Association of Southeast Asian Nations (ASEAN) countries.
78 citations