Study on the spatiotemporal differentiation and influencing factors of regional industrial carbon emission efficiency under the background of green development—a case study of Sichuan Province DOI Creative Commons
Runjia Yang,

Tingting Feng,

Shuang Zhao

и другие.

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Март 25, 2025

Industrial carbon emission reduction is not only the need to cope with climate change and environmental pollution, but also an important way achieve sustainable economic development. This paper first constructs evaluation system of urban green development index from four dimensions: economy, society, resources environment. Then, undesirable super-efficiency SBM model used measure static industrial efficiency, spatiotemporal characteristics dynamic efficiency are analyzed by combining Malmquist index. Finally, was incorporated into Tobit regression model, impact energy intensity, structure other factors on considered. cited 18 cities in Sichuan Province 2015 2022 as example for analysis. The results show that overall level shows a downward trend, there great room improvement average 0.740, difference mainly due pure technical efficiency. From 2022, Sichuan’s showed trend stable then decreasing. There significant positive correlation between emissions. Altogether, established this vital magnitude low-carbon regional industry.

Язык: Английский

Study on the spatiotemporal differentiation and influencing factors of regional industrial carbon emission efficiency under the background of green development—a case study of Sichuan Province DOI Creative Commons
Runjia Yang,

Tingting Feng,

Shuang Zhao

и другие.

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Март 25, 2025

Industrial carbon emission reduction is not only the need to cope with climate change and environmental pollution, but also an important way achieve sustainable economic development. This paper first constructs evaluation system of urban green development index from four dimensions: economy, society, resources environment. Then, undesirable super-efficiency SBM model used measure static industrial efficiency, spatiotemporal characteristics dynamic efficiency are analyzed by combining Malmquist index. Finally, was incorporated into Tobit regression model, impact energy intensity, structure other factors on considered. cited 18 cities in Sichuan Province 2015 2022 as example for analysis. The results show that overall level shows a downward trend, there great room improvement average 0.740, difference mainly due pure technical efficiency. From 2022, Sichuan’s showed trend stable then decreasing. There significant positive correlation between emissions. Altogether, established this vital magnitude low-carbon regional industry.

Язык: Английский

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