The Spatial Effect of Green Finance on PM2.5 ——Analysis of Mediating Effect Based on Technological Innovation DOI Creative Commons
Yiniu Cui, Cheng Zhong, Desheng Wu

et al.

Research Square (Research Square), Journal Year: 2022, Volume and Issue: unknown

Published: Oct. 17, 2022

Abstract This paper uses technological innovation as a mediating variable, based on 30 provincial panel data in China from 2011 to 2019, and the spatial Durbin model study effect of green finance PM2.5. It is found that development not only inhibits local PM2.5 emissions, but also drives surrounding areas through spillover finance, thereby inhibiting emissions areas. Through empirical research, this finds has significant reduction by finance. At key stage transformation China, can optimize allocation financial resources provide support for enterprises, reducing energy consumption pollution ultimately links perspective space, explores channels improve air quality which conducive accelerating 's economy improving human living environment.

Language: Английский

Analysis of the impact factors of industrial structure upgrading on green total factor productivity from the perspective of spatial spillover effects DOI Creative Commons
Xinbao Tian, Hongwei Zhang

Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e28660 - e28660

Published: March 24, 2024

Language: Английский

Citations

10
Analysis of the spatiotemporal evolution and influencing factors of green development level in the manufacturing industry DOI Creative Commons

Weiwei Zhu,

Guozhuo Yang

Heliyon, Journal Year: 2024, Volume and Issue: 10(9), P. e30156 - e30156

Published: April 22, 2024

The manufacturing sector is the main battlefield of energy saving and carbon reduction in China, vigorously promoting enhancing green development level are key links to support China's realization dual-carbon goal. article adopts SBM-GML model measure industry China. Based on this, it analyzes spatio-temporal characteristics evolution law by using Dagum Gini Coefficient Kernel Density Estimation. Using a spatial econometric explore influencing factors industry. study finds that has achieved remarkable results recent years, but there differences each region. regional significant. optimization structure factor industry, positive spillover effect optimization. However, shows negative effect. proposes paths based requirements targets characteristics, which an important inspiration reference for world.

Language: Английский

Citations

6
Measurement of Urban Green Total Factor Productivity and Analysis of Its Temporal and Spatial Evolution in China DOI Open Access
Ruomeng Zhou, Yunsheng Zhang

Sustainability, Journal Year: 2023, Volume and Issue: 15(12), P. 9435 - 9435

Published: June 12, 2023

This paper uses the Super SBM-DEA model and GML index method with undesirable output indicators to measure GTFP in 288 cities China. Furthermore, we divide Chinese land into east, central, west, northeast parts, analyze their temporal spatial evolution trends. It is shown that, firstly, China’s overall shows an upward fluctuating trend, which green technical efficiency contributes more improvement of cities, while technological progress less. Secondly, urban eastern, western, northeastern regions obvious differences, source growth eastern region being mainly progress, central early stage later stage, western improvement. Finally, combined distribution characteristic maps kernel density estimation, disequilibrium characteristics

Language: Английский

Citations

7
Does local government debt pressure hamper green transition? Evidence from China DOI
Song Nie, Gang Zeng,

Xu Zhang

et al.

Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: 84, P. 1185 - 1201

Published: Oct. 11, 2024

Language: Английский

Citations

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, Journal Year: 2024, Volume and Issue: 16(21), P. 9358 - 9358

Published: Oct. 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.

Language: Английский

Citations

2
Distribution of Spatial and Temporal Heterogeneity of Green Total-Factor Productivity in the Chinese Manufacturing Industry, and the Influencing Factors DOI Open Access
Yongquan Zhao, Ziwei Zhang

Sustainability, Journal Year: 2023, Volume and Issue: 15(4), P. 2919 - 2919

Published: Feb. 6, 2023

This paper considers GTFP of energy consumption and environmental pollution from a sustainable perspective as measure the evolutionary efficiency manufacturing industries. It uses super-efficiency SBM model to calculate values industries in 30 Chinese provinces 2011 2019. Moran’s index GTWR were used study spatial correlation impact factors GTFP. The results found that following. (1) overall level China’s industry 2019 rose progressively, between different regions gradually reduced. (2) is significantly positive, with positive spillover effect. (3) affected by economic development, investment, other factors. (4) There spatiotemporal heterogeneity According empirical research focusing on goal it proposed increase use clean reduce pollution. To carry out green development according local conditions, eastern region will strengthen new continue investment innovation, central western supervision, accelerate industrial transformation, attract more foreign investment.

Language: Английский

Citations

5
Influence of local governments on the greening of the manufacturing sector: A perspective on environmental governance objectives DOI Creative Commons
Limin Wang,

Shanhong Li,

Yanqin Lv

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 10(1), P. e23801 - e23801

Published: Dec. 16, 2023

The green development of manufacturing industries is significantly impacted by local governments. In this study, we focus on assessing the environmental governance effectiveness examining tasks assigned central government to each province under Comprehensive Work Program for Energy Conservation and Emission Reduction. By utilizing panel data from 30 provinces cities in China 2011 2020, employ super-efficient SBM model evaluate China's industry's total factor productivity. Through various models, including double-fixed effect mediation effect, investigate influence targets productivity industry. Our findings reveal a U-shaped relationship between target When pressure below certain critical value, decreases as increases. However, once surpasses experiences positive correlation with pressure. Further analysis demonstrates that observed regions low medium marketization, while high marketization remain unaffected. Moreover, impact facilitated promotion innovation. Furthermore, moderated fiscal expenditures. where expenditures are higher, more pronounced.

Language: Английский

Citations

4
Healthcare services efficiency and its intrinsic drivers in China: based on the three-stage super-efficiency SBM model DOI Creative Commons

Mengya Sun,

Yaojun Ye,

Guangdi Zhang

et al.

BMC Health Services Research, Journal Year: 2023, Volume and Issue: 23(1)

Published: July 29, 2023

The purpose of this study is to examine the development healthcare services efficiency in China since reform system. By examining environment and driving factors affecting services, we provide a reference for future high-quality China.A three-stage super-efficient slack-based measure (SBM) model with undesirable outputs was used healthcae 31 Chinese provinces from 2009 2021, global Malmquist-Luenberger (GML) index assess their spatiotemporal evolution characteristics internal influencing mechanisms efficiency.The empirical results showed that China's changed significantly 2009-2014 then remained stable. During period, eastern region higher than national level, while it lower western region. analysis environmental indicated an increase population density reduced redundancy input resources economic as well government subsidies, contributed resources. main contribution growth sercices came technological innovation effect, most significant region.From generally slow upward trend, varied widely among regions. Under existing constraints, relevant departments each should strengthen completely focus on regional catch-up promote balanced health.

Language: Английский

Citations

3
Does industry-university-research cooperation promote the environmental efficiency of China’s high-tech manufacturing? DOI Creative Commons
Feng Peng, Xichun Zhang

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: March 30, 2023

As one of the important strategic measures to increase international competitiveness high-tech manufacturing (HTM), industry-university-research cooperation (IURC) has received increasing attention in China. However, there is little literature explore links between IURC and environmental efficiency (EE) HTM. To incorporate a variety pollution indicators into analysis framework reduce adverse effects random errors on estimation results, this article combined projection pursuit model with stochastic frontier (SFA) method proposed translog considering undesirable outputs analyze multiple impacts EE The results show that both significant negative direct effect positive indirect HTM’s EE. Although cannot directly promote EE, it impact HTM through its complementary research development (R&D) investment. also confirm average whole country only 0.346, while eastern area 0.595, central western areas are 0.199 0.171, respectively. Therefore, particularly urgent improve China’s industry measures, such as promoting R&D investment technology. This study not provides an improved SFA for measuring but deepens mechanism

Language: Английский

Citations

2
Stochastic P-Robust Approach to a Centralized Two-Stage DEA System with Resource Waste DOI Creative Commons
Rita Shakouri, Maziar Salahi

Advances in Operations Research, Journal Year: 2022, Volume and Issue: 2022, P. 1 - 14

Published: Sept. 19, 2022

Uncertain data and undesirable outputs are two challenging issues in traditional envelopment analysis (DEA) models while dealing with the environmental efficiency estimation of decision-making units (DMUs). This study considers Stackelberg centralized game theory approach a two-stage DEA model for evaluating DMUs presence uncertainty simultaneously. To tackle uncertainty, we apply p-robust technique assume that weakly disposable. The proposed fractional linearized using Charnes Cooper transformation. We utilize new real dataset drawn from 11 oil generation ports Persian Gulf region consisting stages: an production stage wastewater treatment stage. results revealed managers should take different strategies evaluation including impacts also improvement increasing generation. Further, empirical showed stochastic controlling conservatism level leads to more conservative solution, policymakers could recognize significant steps be followed improve each unit’s performance. Also, show reliability accuracy effect decision-maker’s preference, detailed sensitivity is performed.

Language: Английский

Citations

4