How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China

Energy Economics, Journal Year: 2020, Volume and Issue: 91, P. 104880 - 104880

Published: July 24, 2020

Language: Английский

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How do energy consumption and environmental regulation affect carbon emissions in China? New evidence from a dynamic threshold panel model

Resources Policy, Journal Year: 2020, Volume and Issue: 67, P. 101678 - 101678

Published: April 16, 2020

Language: Английский

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Environmental regulation and green innovation: Evidence from China’s new environmental protection law

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 297, P. 126698 - 126698

Published: March 13, 2021

Language: Английский

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How do resource misallocation and government corruption affect green total factor energy efficiency? Evidence from China

Energy Policy, Journal Year: 2020, Volume and Issue: 143, P. 111562 - 111562

Published: May 7, 2020

Language: Английский

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Environmental tax reform and environmental investment: A quasi-natural experiment based on China's Environmental Protection Tax Law

Energy Economics, Journal Year: 2022, Volume and Issue: 109, P. 106000 - 106000

Published: April 1, 2022

Language: Английский

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Does outward foreign direct investment (OFDI) affect the home country’s environmental quality? The case of China

Structural Change and Economic Dynamics, Journal Year: 2019, Volume and Issue: 52, P. 109 - 119

Published: Sept. 7, 2019

Language: Английский

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Reexamining the relationships among urbanization, industrial structure, and environmental pollution in China—New evidence using the dynamic threshold panel model

Energy Reports, Journal Year: 2019, Volume and Issue: 6, P. 28 - 39

Published: Dec. 7, 2019

Since China's reform and opening up, the urban economy has substantially developed, nation's urbanization process advanced to gradually enter a "new normal" phase. In this process, population industries continue inundate its cities, environmental pollution become critical problem. This study uses panel data spanning 1998 2015 from 29 Chinese provinces comprehensive framework of well-designed generalized method moments (GMM) models accurately examine relationships between per capita sulfur dioxide (PSO2), industrial soot (PSOOT), waste gas (PIWG). A newly developed dynamic threshold model that incorporates GMM characteristics is utilized explore how affects under different structures. finds evidence relationship among development, structure, pollution. Urbanization contributed increased nonlinear exists in China. Further, increasingly promotes with an increase proportion secondary industries; however, such promotion decreases tertiary industries.

Language: Английский

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How does international technology spillover affect China's carbon emissions? A new perspective through intellectual property protection

Sustainable Production and Consumption, Journal Year: 2020, Volume and Issue: 25, P. 577 - 590

Published: Dec. 8, 2020

Language: Английский

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The role of information and communication technology on green total factor energy efficiency: Does environmental regulation work?

Business Strategy and the Environment, Journal Year: 2021, Volume and Issue: 31(1), P. 403 - 424

Published: Oct. 5, 2021

Abstract China is gradually changing its pursuit of rapid economic growth into a development quality. In this context, whether “cyberpower” and “digital China” strategies are truly conducive to China's sustainable still needs be further tested. This paper constructs provincial information communication technology (ICT) comprehensive level index from the four dimensions penetration, coverage, resources, business then innovatively undertakes theoretical framework integrating ICT, environmental regulations, green total factor energy efficiency (GTFEE) for analysis. Using panel data 30 administrative regions 2006 2017, study explores direct impact, moderating effect, nonlinear relationship, regional differences ICT on GTFEE. It indicated that plays positive role in promoting GTFEE moderated by regulations. The regression results dynamic threshold model indicate diverse regulation intensities lead different influences Moreover, impact heterogeneous among regions. Specifically, western region may gain more benefits virtue late‐mover advantage.

Language: Английский

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How do FDI and technical innovation affect environmental quality? Evidence from China

Environmental Science and Pollution Research, Journal Year: 2019, Volume and Issue: 27(8), P. 7835 - 7850

Published: Dec. 30, 2019

Language: Английский

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