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Wang KL, Ru XX, Ding LL, Cheng YH. Environmental regulation, industrial agglomeration, and marine green development efficiency: an empirical analysis from China's coastal provinces. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-28167-8. [PMID: 37332030 DOI: 10.1007/s11356-023-28167-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 06/04/2023] [Indexed: 06/20/2023]
Abstract
Environmental regulation (ER) and industrial agglomeration (IA) are important factors that affect green development efficiency (GDE). However, there is a lack of studies on their relation in the context of the marine economy. This paper integrates ER, IA, and marine GDE (MGDE) into a unified analytical framework and uses balanced panel data from China's 11 coastal provinces during 2008-2019 to quantify the linear, nonlinear, and spatial spillover effects between the three using the spatial Durbin model (SDM) and threshold effect model. The results show that ER has a negative impact on local and surrounding MGDE through the direct and spatial spillover effects. IA has a positive impact on local and surrounding MGDE through direct and spatial spillover effects. The synergistic impact of ER and IA can significantly boost local and surrounding MGDE. When ER surpasses a certain threshold, it amplifies the positive impact of IA on MGDE. These findings offer theoretical and practical references for the Chinese government to formulate marine environmental governance and industrial development policies.
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Affiliation(s)
- Ke-Liang Wang
- School of Economics, Ocean University of China, Qingdao, 266011, Shandong, China.
| | - Xiang-Xiang Ru
- School of Economics, Ocean University of China, Qingdao, 266011, Shandong, China
| | - Li-Li Ding
- School of Economics, Ocean University of China, Qingdao, 266011, Shandong, China
| | - Yun-He Cheng
- School of Economics and Management, Anhui University of Science and Technology, Huainan, 232011, Anhui, China
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Ran Q, Liu L, Razzaq A, Meng Y, Yang X. Does green finance improve carbon emission efficiency? Experimental evidence from China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:48288-48299. [PMID: 36754905 DOI: 10.1007/s11356-023-25571-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
As a noteworthy initiative of financial supply-side reform to precisely support the green development system, can green finance (GF) help achieve the dual goals of "carbon peaking" and "carbon neutrality"? Using data from China's provincial panel between 2007 and 2019, this paper measured the green finance index by the entropy method and the carbon emission efficiency (CEE) with carbon emission as the non-desired output by the Super-SBM model. Then, the influence of GF on CEE was empirically investigated by the dynamic panel model and the spatial Durbin model. The findings show that GF can significantly improve CEE and has a positive spillover impact on CEE in provinces with close economic ties; the upgrading of the industrial structure is a key mediator in the transmission of GF to CEE; and regional heterogeneity analysis finds that GF notably improves CEE in eastern, high development levels of economic and GF regions. The research can offer some theoretical and empirical references for green finance to contribute to low-carbon economic growth.
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Affiliation(s)
- Qiying Ran
- School of Business and Economics, Shanghai Business School, Shanghai, 200235, China
- Center for Innovation Management Research of Xinjiang, Xinjiang University, Urumqi, 830047, China
| | - Lu Liu
- Center for Innovation Management Research of Xinjiang, Xinjiang University, Urumqi, 830047, China.
- School of Economics and Management, Xinjiang University, Urumqi, 830047, China.
| | - Asif Razzaq
- Department of Business Administration, ILMA University, Karachi, Pakistan
| | - Yuxin Meng
- Center for Innovation Management Research of Xinjiang, Xinjiang University, Urumqi, 830047, China
- School of Economics and Management, Xinjiang University, Urumqi, 830047, China
| | - Xiaodong Yang
- Center for Innovation Management Research of Xinjiang, Xinjiang University, Urumqi, 830047, China
- School of Economics and Management, Xinjiang University, Urumqi, 830047, China
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Kumar A, Mittal A, Pradhan AK. Magnitude and determinants of energy intensity: evidence from Indian firms. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:3270-3281. [PMID: 35943645 PMCID: PMC9360652 DOI: 10.1007/s11356-022-22346-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 07/28/2022] [Indexed: 06/15/2023]
Abstract
The topmost challenge for Indian manufacturing industries is to reduce the pace of energy intensity to deal with environmental degradation and climate change problems. In this light, we examine the firm-specific determinants influencing energy intensity of Indian manufacturing firms and suggest measures to minimize the energy intensity. To do so, we use aggregate firm-level data ranging between 2010 and 2021 and employ panel quantile regression. We found that the determinants, namely LI, RMPMI, PMI, and OI, have a statistically positive and significant impact on energy intensity. Other factors such as RMSSI, PATI, TDI, SI, and LNTA were found to show mixed results. Besides, we observed RMPMI as the most dominant factor driving energy intensity among Indian manufacturing firms. The findings of this paper endorse effective policymaking pertaining to energy intensity for Indian manufacturing firms and necessitates the modifications in energy conservation regulations.
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Affiliation(s)
- Aman Kumar
- Energy Centre, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India.
| | - Arvind Mittal
- Energy Centre, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India
| | - Ashis Kumar Pradhan
- Department of Humanities and Social Sciences, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India
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Yin K, Gu H, Huang C. Fiscal decentralization, government innovation preference, and haze pollution. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:69818-69830. [PMID: 35578078 DOI: 10.1007/s11356-022-20717-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 05/05/2022] [Indexed: 06/15/2023]
Abstract
Local governments are the dominant players in haze pollution control; furthermore, financial power reconstruction affects the effectiveness of haze control. Government innovation preference achieves win-win results for environmental protection and economic development by increasing innovation support. Therefore, a moderating variable for government innovation preference was added to the fiscal decentralization effect on haze pollution, and their interactive effect on haze pollution was studied. This study was conducted in 30 provincial regions. Thus, the severity of regional haze pollution differs because of temporal heterogeneity and asynchronous development. Furthermore, we analyzed the impact on haze pollution from the perspectives of the temporal and spatial differences in different regions of China. The results indicate that (1) fiscal decentralization increases haze pollution, while government innovation preferences control it. (2) In a local evaluation model with a diversified background, fiscal decentralization restrains haze pollution, and pollution source complexity reduces government innovation preference's control pollution function. The interaction term revealed that government innovation preferences had a significant moderating effect. (3) Fiscal decentralization and government innovation preferences control the heterogeneity of haze pollution in different regions.
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Affiliation(s)
- Kedong Yin
- Institute of Marine Economy and Management, Shandong University of Finance and Economics, No. 7366, East 2nd Ring Road, Jinan, 250014, Shandong, China
- School of Management Science and Engineering, Shandong University of Finance and Economics, No. 7366, East 2nd Ring Road, Jinan, 250014, Shandong, China
| | - Haolei Gu
- School of Management Science and Engineering, Shandong University of Finance and Economics, No. 7366, East 2nd Ring Road, Jinan, 250014, Shandong, China
| | - Chong Huang
- Institute of Marine Economy and Management, Shandong University of Finance and Economics, No. 7366, East 2nd Ring Road, Jinan, 250014, Shandong, China.
- School of Management Science and Engineering, Shandong University of Finance and Economics, No. 7366, East 2nd Ring Road, Jinan, 250014, Shandong, China.
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Nonlinear Impact of Circulation-Industry Intelligentization on the Urban–Rural Income Gap: Evidence from China. SUSTAINABILITY 2022. [DOI: 10.3390/su14159405] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Integrating informatization into the circulation industry has led to the concept of circulation-industry intelligence. By reducing transportation costs and increasing total factor productivity, the incomes of rural-area residents can be improved; a new pattern of regional economy can be established; urban, rural, social, and economic development can become more coordinated; and social sustainable development can be promoted. In this study, we used China’s provincial panel data corresponding to the 2007–2019 period to measure the intelligence index of the circulation industry in each region and determine the factors that affect the urban–rural income gap; thereafter, we conducted comparative analyses. Further, a fixed-effects model was established based on the theory of agglomeration and diffusion effects to analyze the relationship between these two variables. Our analysis identified innovation investment as a significant intermediary mechanism. The robustness of this finding was verified by substituting variables and controlling for endogeneity. Thus, the effect was shown to be regionally heterogeneous. This study innovatively integrated informatization into the circulation industry, and the results obtained provide a reference for formulating transportation infrastructure as well as informatization strategies for promoting urban–rural coordination and sustainable development globally.
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