Linking reference-dependent point for expected income to household carbon emissions: Evidence from China DOI
Zhenhua Zhang, Ke Zhang, Jing Qian

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 486, С. 144434 - 144434

Опубликована: Дек. 9, 2024

Язык: Английский

Does digital global value chain participation reduce energy resilience? Evidence from 49 countries worldwide DOI
Zhenhua Zhang,

Huangbin Wu,

Yunpeng Zhang

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 208, С. 123712 - 123712

Опубликована: Авг. 28, 2024

Язык: Английский

Процитировано

21

Can green finance policy promote green innovation in cities? Evidence from pilot zones for green finance reform and innovation in China DOI
Guoxing Zhang,

Yutao Wang,

Zhenhua Zhang

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122816 - 122816

Опубликована: Окт. 10, 2024

Язык: Английский

Процитировано

20

Does innovative city pilot policy improve carbon reduction? Quasi-experimental evidence from China DOI
Mengmeng Fan, Zhenhua Zhang, Yigang Wei

и другие.

Environmental Research, Год журнала: 2024, Номер 262, С. 119748 - 119748

Опубликована: Авг. 5, 2024

Язык: Английский

Процитировано

18

The impact of digital inclusive finance on household carbon emissions: Empirical evidence from China DOI
Yanchao Feng, Tong Yan, Shilei Hu

и другие.

International Review of Financial Analysis, Год журнала: 2025, Номер unknown, С. 104088 - 104088

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

4

New energy policy and new quality productive forces: A quasi-natural experiment based on demonstration cities DOI
Zhenhua Zhang, Peixuan Li, Xinyi Wang

и другие.

Economic Analysis and Policy, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

12

Study on calculation and optimization path of energy utilization efficiency of provincial logistics industry in China DOI
Chuang Li, Yunlong Wang,

Zhiyuan Li

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122594 - 122594

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Drivers of supply chain, environmental innovation, and digital population: The role of inflation and renewable energy on GHG emission in Indonesia DOI
M.M. Zhang, Xiang Ma, Sabine Mai

и другие.

Energy Economics, Год журнала: 2025, Номер unknown, С. 108462 - 108462

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

1

Identifying the dual-effects of automation on economy and environment: Evidence from A-share listed enterprises in China DOI
Zhenhua Zhang, Yunpeng Zhang,

Huangbin Wu

и другие.

China Economic Review, Год журнала: 2024, Номер unknown, С. 102308 - 102308

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

7

Unleashing the Power of Green Fiscal Policies: Driving Energy Efficiency in China DOI
Jing Wang, Xuemeng Hu, Jian Song

и другие.

Energy, Год журнала: 2024, Номер 312, С. 133402 - 133402

Опубликована: Окт. 11, 2024

Язык: Английский

Процитировано

5

Technological Progress and Scale Efficiency Changes in China’s Energy Industry: A Comparison of New and Traditional Energy Under the DEA-Malmquist-Tobit Model DOI Open Access

Tianxing Zhu,

Jinyang Liu, Guolong Zhu

и другие.

Sustainability, Год журнала: 2025, Номер 17(2), С. 662 - 662

Опубликована: Янв. 16, 2025

With the growth of new energy sector, China’s industry is experiencing significant transformations. This research aims to evaluate technological progress and changes in scale efficiency listed companies industry, with a particular focus on comparison between traditional sectors. investigates various values, types returns scale, role patents fostering progress, influence financial leverage changes, comprehensive evaluation that offers critical foundation for formulating targeted strategies. uses data from A-share spanning 2017 2023, constructs input–output indicators centered development (R&D) profitability, applies DEA model examine operating companies. A Malmquist indices developed analyze dynamic evolution change change. In contrast conventional approach using scores as dependent variable Tobit regressions, this indices, which more effectively captures efficiency. The study empirically assesses impact patent accumulation through panel random effects effect four-stage incremental regression. Finally, draws following conclusions: 1. terms static correlation, exhibit polarization types; contrast, have stable mature structure. 2. sector substantial, while faces bottlenecks; both industries are rather than pure changes. 3. Regarding influencing factors companies, has limited non-linear relationship, an inflection point observed high leverage. policy recommendations based findings.

Язык: Английский

Процитировано

0