Journal ArticleDOI
Financing for energy efficiency solutions to mitigate opportunity cost of coal consumption: An empirical analysis of Chinese industries
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TLDR
In this article, the energy rebound effects of Chinese energy and coal power use in Chinese energy-intensive industries by using latent class stochastic frontier models like LMDI, and other various econometric estimation approach for coal-supplying regions in China ranging between 1992 and 2018.Abstract:
This study measures the energy rebound effects of Chinese energy and coal power use in Chinese energy-intensive industries by using latent class stochastic frontier models like LMDI, and other various econometric estimation approach for coal-supplying regions in China ranging between 1992 and 2018. The findings reveals that China’s coal sector’s average capacity consumption is 0.81%, with a pattern of first increasing and then decreasing, falling to 0.68% in 2016 specifically. The coal capacity operation rate concerning low as well as depleted regions is generally strong, with limited space for expansion. In 2015 and 2016, the utilization rate of coal production potential in moderate-producing areas fell about 42%. Economic development variables affect the capacity utilization levels of moderate, weak, and depleted generating regions. At the same time, the price volatility cannot induce a practical improvement in the ability utilization rate, which means that China’s coal industry is mainly un-marketized. China’s energy efficiency increased about 19.98% among 2000 and 2016, while the rapidest expansion pattern has been noted in the eastern province at 39.86%, next to central (11.71%) and western regions (9.59%). The take back impact via the renewable energy and renewable productivity channels is estimated as 12.34% and 25.40%, respectively. Therefore, the take back impact is of significant importance regarding energy preservation, as China’s cumulative renewable energy use is equal to China’s aggregate energy use. On such findings, recent research also contributed by presenting novel policy implications for key stakeholders.read more
Citations
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Testing green fiscal policies for green investment, innovation and green productivity amid the COVID-19 era
TL;DR: In this paper, the effect of government subsidies and tax rebate policies on renewable energy firms' investment efficiency using China's renewable energy firm-level panel data was explored using Banker, Charnes and Cooper's data envelopment analysis (DEA) approach.
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The impact of natural resource rent, financial development, and urbanization on carbon emission
TL;DR: In this paper, the authors examined the long-run and short-run association between natural resource rent, financial development, and urbanization on carbon emission from the context of the USA during 1995-2015 with the help of a contemporary and innovative approach named quantile autoregressive distributed lagged model (QARDL).
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How green finance and financial development promote green economic growth: deployment of clean energy sources in South Asia
Muhammad Sadiq,Moataz Ahmad Amayri,Ch. Paramaiah,Nguyen Hong Mai,Thanh Quang Ngo,Thi Thu Hoai Phan +5 more
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Dynamic nexus between transportation, urbanization, economic growth and environmental pollution in ASEAN countries: does environmental regulations matter?
TL;DR: In this article, the authors examined the impact of environmental regulations on GHG emission reduction in ASEAN countries over the years 1995-2018 and found that GHG emissions increase with transportation, urbanization, economic growth but decrease with the imposition of environmental-related taxations.
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Impact of credit, liquidity, and systematic risk on financial structure: comparative investigation from sustainable production
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TL;DR: In this article, the authors explored the correlation between firm risk and capital structure using datasets from the sugar and cement sectors of Pakistan as a developing economy, and found that credit risk and liquidity risk are significantly correlated with leverage.
References
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Multilateral Productivity Comparisons When Some Outputs are Undesirable: A Nonparametric Approach
TL;DR: Multilateral productivity comparisons of firms producing multiple outputs, some of which are undesirable, are obtained by making two modifications to the standard Farrell approach to efficiency measurement.
Journal ArticleDOI
Modeling undesirable factors in efficiency evaluation
Lawrence M. Seiford,Joe Zhu +1 more
TL;DR: It is shown that the standard DEA model can be used to improve the performance via increasing the desirable outputs and decreasing the undesirable outputs, and the linearity and convexity of DEA are preserved.
Journal ArticleDOI
Modeling undesirable factors in efficiency evaluation: Comment
Rolf Färe,Shawna Grosskopf +1 more
TL;DR: This work suggests an alternative approach which allows us to explicitly model a joint environmental technology and gauge performance in terms of increased good output and decreased undesirable output by adopting a directional distance function which may be estimated using the usual linear programming techniques employed in DEA.
Journal ArticleDOI
Public spending and green economic growth in BRI region: Mediating role of green finance
TL;DR: In this article, a generalized method of moments (GMM) method and data envelopement analysis (DEA) was used to assess the relationship between public spending on R&D and green economic growth and energy efficiency.
Journal ArticleDOI
Regional development and carbon emissions in China
TL;DR: In this paper, the authors used the logarithmic mean divisia index (LMDI) to estimate seven socioeconomic drivers of the changes in CO2 emissions in China since 2000 and found that China's carbon emissions have plateaued since 2012 mainly because of energy efficiency gains and structural upgrading.
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