Does e-commerce development reduce carbon emissions? Empirical analysis based on spatial durbin difference-in-difference model DOI

Xinlei Qian,

Yi Wang, Minjie Pan

и другие.

Computers & Industrial Engineering, Год журнала: 2025, Номер unknown, С. 110954 - 110954

Опубликована: Фев. 1, 2025

Язык: Английский

The Impact of Multidimensional Relational Network Embedding on the Carbon Emission Reductions of Manufacturing Enterprises: From the Mediating and Regulating Roles of Technological Innovation DOI Open Access

Bo Zhao,

Li Lv,

Xiaojuan Luo

и другие.

Sustainability, Год журнала: 2025, Номер 17(4), С. 1655 - 1655

Опубликована: Фев. 17, 2025

Promoting low-carbon, green development in the industrial sector is crucial for sustainable of economy and society China. As micro-entity carbon reduction, question how to enhance reduction capacity enterprises has attracted widespread attention. Research suggests that a multidimensional relationship network, consisting government, market, industry, public networks network reputation, significantly influences enterprises’ emission performance. Based on survey data 1226 manufacturing enterprises, this study empirically examines impact emissions its mechanism from micro-perspective. The findings reveal relational embedding reduces intensity, effect becomes stronger as degree increases. Compared government industry networks, market reputation have more significant reduction. heterogeneity analysis shows with higher intensity digital level. also highlights role technological innovation mediator regulator strengthening embedding.

Язык: Английский

Процитировано

1

Impact of Digital Technology Innovation on Carbon Emission Reduction and Energy Rebound: Evidence from the Chinese Firm Level DOI
Yue Liu,

Liu Nengyu,

Yijia Huo

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 135187 - 135187

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Digital Economy, Rural E-Commerce Development, and Farmers’ Employment Quality DOI Open Access

Yan Wang,

Yongjie Wu

Sustainability, Год журнала: 2025, Номер 17(7), С. 2949 - 2949

Опубликована: Март 26, 2025

Employment is the most significant source of livelihood and foundation social stability. The rapid development digital economy rural e-commerce has continuously injected new kinetic energy into comprehensive revitalization countryside provided possibilities for farmers’ employment. Comprehensively improving quality employment an important tool promoting income solving problems at this stage. Using panel data from 30 provincial-level administrative regions in China (2011–2020), paper examines impact on context analyzes its underlying mechanisms. findings show that can promote farmers by industrial structure. plays a negative role process farmers, but education level positive it. Therefore, it recommended to start with gradually their literacy, enhancing internal drive, then effect employment, which more effective than relying external support economy. In addition, eastern, middle, western China, greater middle eastern region. possible contribution lies systematic study relationship between economy, development, mechanism. Moreover, also unique influence boundary conditions China’s reality, provides reference empirical evidence e-commerce, revitalization.

Язык: Английский

Процитировано

1

Guided by the goal of “double carbon”, what is the carbon emission reduction effect of the promotion and application of green technology in China? DOI
Chuang Li, Yunlong Wang, Liping Wang

и другие.

Environmental Research, Год журнала: 2023, Номер 245, С. 117974 - 117974

Опубликована: Дек. 24, 2023

Язык: Английский

Процитировано

23

The impact of digital infrastructure on industrial ecology: Evidence from broadband China strategy DOI
Xianneng Zhou, Qing Hu, Haotian Luo

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 447, С. 141589 - 141589

Опубликована: Фев. 29, 2024

Язык: Английский

Процитировано

7

Sequential data-driven carbon peaking path simulation research of the Yangtze River Delta urban agglomeration based on semantic mining and heuristic algorithm optimization DOI

Qingshun Zeng,

Changfeng Shi,

Wenjun Zhu

и другие.

Energy, Год журнала: 2023, Номер 285, С. 129415 - 129415

Опубликована: Окт. 21, 2023

Язык: Английский

Процитировано

14

Measurement and analysis of regional water-energy-food nexus resilience with an improved hybrid kernel extreme learning machine model based on a dung beetle optimization algorithm DOI
Zhiqin Zhang, Liangliang Zhang, Dong Liu

и другие.

Agricultural Systems, Год журнала: 2024, Номер 218, С. 103966 - 103966

Опубликована: Апрель 26, 2024

Язык: Английский

Процитировано

6

Extreme high temperatures and corporate low-carbon actions DOI
Xiaojuan Hou,

Shuning Kong,

Ruojun Xiang

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 925, С. 171704 - 171704

Опубликована: Март 16, 2024

Язык: Английский

Процитировано

5

Pollution emission right trading policy and green total factor productivity DOI

Yuxuan Liu,

Ling Han,

Panran Ou

и другие.

Technology Analysis and Strategic Management, Год журнала: 2024, Номер unknown, С. 1 - 18

Опубликована: Март 20, 2024

Improving the quality of ecological environment and efficiency green economy has become new demands China's economic development. This paper takes 2007 sulphur dioxide (SO2) emission trading pilot policy in China as a quasi-natural experiment, measures total factor productivity 280 Chinese cities, analyses impact right on urban (GTFP). The results show that significant role improving GTFP. effect differs at region, city level circle. Emission improves GTFP by promoting technological innovation, resource allocation optimising industrial structure. shows perspective cross regional emissions cooperation, providing enlightenment for deepening environmental governance high-quality

Язык: Английский

Процитировано

4

Effects of Social Capital on the Adoption of Green Production Technologies by Rice Farmers: Moderation Effects Based on Risk Preferences DOI Open Access

Bo Liu,

Na Li,

C. L. Liao

и другие.

Sustainability, Год журнала: 2024, Номер 16(20), С. 8879 - 8879

Опубликована: Окт. 14, 2024

In the context of global climate change and energy resource scarcity, understanding factors that influence adoption green production technology by rice farmers promoting a transformation in agricultural practices towards low-carbon environmentally friendly methods represent crucial step achieving sustainable development. This study employs an ordered logit model to comprehensively explore mechanism social capital risk preference within farmers. Research indicates can significantly positively affect farmers’ uptake technology. Among various dimensions, it be seen role participation emerges as particularly salient factor. The analysis demonstrates exerts negative moderating influence. heterogeneity results indicate new-generation part-time prefer adopting new technologies if they possess higher capital. light findings above, is recommended organizational support cooperatives collective action reinforced; use digital agriculture should increased; livelihood changes considered meet their heterogeneous needs accurately; integration carbon emission reduction policies strengthened promote widespread among

Язык: Английский

Процитировано

4