The Impact of Environmental Regulation on Green Image Management of Supply Chain: Evidence from China DOI
Donghui Li,

Zhanxiang Zhang,

Rui Xu

и другие.

Finance research letters, Год журнала: 2024, Номер unknown, С. 106723 - 106723

Опубликована: Дек. 1, 2024

Язык: Английский

A hybrid machine learning-based decision-making model for viable supplier selection problem considering circular economy dimensions DOI
AmirReza Tajally,

Mahla Zhian Vamarzani,

Mohssen Ghanavati-Nejad

и другие.

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Янв. 25, 2025

Язык: Английский

Процитировано

1

Will Green Credit Affect the Cash Flow of Heavily Polluting Enterprises? DOI Open Access
Yi Sun,

Yiwen Zhu,

Cong Li

и другие.

Sustainability, Год журнала: 2025, Номер 17(1), С. 311 - 311

Опубликована: Янв. 3, 2025

As environmental pollution intensifies, China has begun to implement green credit policies reduce allocation highly polluting enterprises. This research examines the influence of on cash flow heavily enterprises, based implementation “Green Credit Guidelines”. The policy creates a quasi-natural experimental setting by giving businesses access an exogenous occurrence. Consequently, this paper uses data from 494 A-share listed companies in over fifteen-year period 2007 2021 and employs Difference-in-Differences (DID) model assess net effect policy, positing that scheme will prevent making money. empirical findings show significantly reduces emit lot pollutants, especially when it comes operational flow. Heterogeneity analysis reveals high-emission regions non-state-owned enterprises is affected even more significantly. Previous often overlooked as metric; however, critical indicator enterprise’s status. From angle, study adds our knowledge how schemes affect businesses. Additionally, contributes ongoing discussion regarding relationship between financial constraints China’s government ought keep encouraging creation regulations, enhance supervision state-owned pay attention low-emission establishing dynamic regulatory indicators promote ecological civilization construction transformation upgrading lagging industries.

Язык: Английский

Процитировано

0

Towards Sustainable Development: Assessing the Significance of World Uncertainty in Green Technology Innovation DOI Open Access

Jie Dou,

Junyi Dou,

Meng Qin

и другие.

Sustainability, Год журнала: 2025, Номер 17(3), С. 1314 - 1314

Опубликована: Фев. 6, 2025

This paper uses the two-way fixed effects model to empirically examine impact of World Uncertainty Index (WUI) on Green Patents (GPs). Quantitative results indicate that WUI negatively affects GPs, meaning world uncertainty significantly hinders green technology innovation. effect is mediated through relaxed environmental regulation and reduced financial support. These findings underline increased decreases both variables support, thus delaying innovation technology. Low-income countries’ weak economic technological bases have a statistically insignificant negative GP. However, significant indicated for high-income countries, reflecting their higher sensitivity uncertainties. The WUI’s more GPs experienced in middle-income countries due continuous development less adaptability.

Язык: Английский

Процитировано

0

Synergistic pathways towards greening and digital transformations of Chinese primary energy producers: Reassessing the microeconomic effects of environmental regulation DOI

Meijun Wang,

Chan Liu, Zhanglu Tan

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 136044 - 136044

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Intelligence Approach-Driven Bidirectional Analysis Framework for Efficiency Measurement and Resource Optimization of Forest Carbon Sink in China DOI Open Access
Jianli Zhou, Ran Jia,

Jiayi Ren

и другие.

Forests, Год журнала: 2025, Номер 16(4), С. 656 - 656

Опубликована: Апрель 9, 2025

A critical natural solution to combat global warming and reduce carbon emission is the forest sink (FCS). Owing variations in geographic location, policy formulation, economic development, Chinese provinces exhibit significant disparities efficiency (FCSE). Therefore, evaluating enhancing FCSE optimizing resource allocation have emerged as pressing issues. This study develops a pioneering analytical framework for systematic estimation optimization of FCS resources. It measures FCSE, considering both dynamic static aspects adopting spatial–temporal perspective, utilizing Malmquist Index Super Efficiency Slacks-Based Measure analyze primary factors influencing FCSE. The Autoregressive Integrated Moving Average method forecasts goals typical regions years 2030, 2045, 2060. To effectively enhance rationally optimize allocation, this constructs Inverse Data Envelopment Analysis. study’s findings indicate extremes average across regions, with mean value difference 2.2188. Technological change driver advancements achieve 2060 goal, each input indicator requires substantial increase. Drawing on insights into landscape, delineates regional offers scientific foundation policymakers devise strategies address sustainability concerns regarding FCS.

Язык: Английский

Процитировано

0

Harnessing the Digital Economy for Sustainable Energy Efficiency: An Empirical Analysis of China’s Yangtze River Delta DOI Creative Commons
Fengqin Liu, Jai Kumar, Huaping Sun

и другие.

Economics, Год журнала: 2025, Номер 19(1)

Опубликована: Янв. 1, 2025

Abstract This study investigates the impact of digital economy on energy efficiency through a combination theoretical analysis and empirical testing. The research contributes by categorizing value creation process into two stages: input stage operation examining both direct indirect effects efficiency. Indirect are explored factors such as industrial structure, green innovation, transaction efficiency, environmental regulation. Using panel data from 41 cities in Yangtze River Delta region China, covering period 2006 to 2020, empirically examines findings emphasize significant role enhancing particularly upgrading structures, increasing stimulating innovation. A heterogeneity reveals that influence is less pronounced resource-based than non-resource-based cities. Based these findings, provides targeted policy recommendations further leverage for improving

Язык: Английский

Процитировано

0

Regulation Automation and Green Innovation: Evidence from China’s Industrial Firms DOI Creative Commons
Jinyuan Xin

International Review of Economics & Finance, Год журнала: 2025, Номер unknown, С. 104000 - 104000

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Climate investment and financing, economic growth target constraints and urban green development efficiency DOI
Wenjing Wang, Peng Zhang, Taiyi He

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 382, С. 125369 - 125369

Опубликована: Апрель 19, 2025

Язык: Английский

Процитировано

0

Scenario Simulation and Efficiency Study of Hydropower Development to Promote Regional Sustainable Development: An Empirical Analysis of a Province in Southwestern China DOI Open Access
Guofa Li, Pu Zhang,

Weize Wang

и другие.

Sustainability, Год журнала: 2024, Номер 16(19), С. 8687 - 8687

Опубликована: Окт. 8, 2024

Hydropower is a significant component of China’s contemporary energy framework, with its construction and operation critically contributing to the advancement sustainable development in region. However, influence hydropower on regional not evident, course effect clear. In this work, basis assessing development, system dynamics (SD) simulation model was created, 15 distinct modes were set tested. The relative driving efficiency growth province Southwest China under several scenarios assessed using super-efficiency-slacks-based measurement (Super-SBM), an analysis undertaken. study’s findings demonstrate that: (1) had complex 2015–2022. (2) over study period exhibited changing pattern at high level greater than 0.7. (3) New investment generation are major factors impacting province. provide platform reference for supporting through development.

Язык: Английский

Процитировано

2

The Spatial Impact of Innovative Human Capital on Green Total Factor Productivity in Chinese Regions Based on Quantity and Quality Dimensions DOI Open Access

Xi Lin

Sustainability, Год журнала: 2024, Номер 16(21), С. 9358 - 9358

Опубликована: Окт. 28, 2024

Green total factor productivity (GTFP) is a key driver of China’s green development, and innovative human capital (IHC) plays pivotal role in enhancing GTFP. This study examines the impact quantity quality dimensions IHC on regional GTFP China. Using panel data from 30 Chinese provinces 2004 to 2018, this constructs spatial Durbin model (SDM) empirically analyze Three main conclusions are obtained: (1) both can significantly directly improve GTFP, yet heterogeneity exists. In eastern region, IHCA IHCQ have significant impact, while middle-western only has effect GTFP; (2) boost enhancement through technological progress; (3) (IHCA) produces spillover whereas (IHCQ) does not exhibit effect. Based these conclusions, strategies for development China coordinated regions proposed. The government should integrate into its environmental policies awareness optimize efficiency capital, taking differences account.

Язык: Английский

Процитировано

2