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Chen S, Yang Q. Renewable energy technology innovation and urban green economy efficiency. J Environ Manage 2024; 353:120130. [PMID: 38308994 DOI: 10.1016/j.jenvman.2024.120130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/29/2023] [Accepted: 01/16/2024] [Indexed: 02/05/2024]
Abstract
Green economy efficiency is the core-factor of urban economic and environmental development. As a sustainable instruments, renewable energy technology innovation (RETI) not only reflects the low energy-consumption, but also promotes the reasonable and balanced relationship between resources utilization and urban economy. In this regard, this paper selects China's cities to investigate the effect of RETI on urban green economy efficiency from 2004 to 2020 based on theoretical analyses and previous studies. The paper finds that RETI can promote urban green economy efficiency significantly, passing a series of robustness test, and its effect has connected differently with the factor of regional factor, cleaner production level and environment pollution. Meanwhile, RETI promotes urban green economy efficiency by reducing CO2 emission and polluting manufacturing agglomeration. To date, this study has discovered the green economy efficiency improvement effects of RETI, providing theoretical basis and practical recommendations for government, technological agency and urban industries.
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Affiliation(s)
- Shi Chen
- School of Urban and Regional Sciences, Shanghai University of Finance and Economics, Shanghai, 200433, PR China.
| | - Qingfei Yang
- Institute of Western China Economic Research, Southwestern University of Finance and Economics, Chengdu, Sichuan, 611130, PR China.
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Qu F, Li CM. Carbon emission reduction effect of renewable energy technology innovation: a nonlinear investigation from China's city level. Environ Sci Pollut Res Int 2023; 30:98314-98337. [PMID: 37606775 DOI: 10.1007/s11356-023-29245-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 08/05/2023] [Indexed: 08/23/2023]
Abstract
There has always been controversy over how renewable energy technologies can play a role in reducing carbon emissions. Based on the energy patent data and the economic data of 244 prefecture-level cities from 2007 to 2017 in China, we explore the carbon reduction effect of renewable energy technology and its mechanism from the perspective of energy production, conservation, and management. The two-way fixed effect, instrumental variable, spatial Durbin, and mediation effect models are employed to explore empirical results. We found that (1) the impact of renewable energy technologies on carbon emissions is nonlinear, with an inverted U shape. However, this inverted U-shaped relationship only exists locally in cities and there are uncertainties in adjacent cities, which indicates that cross-regional cooperation in renewable energy technology needs to be improved. (2) The mechanism analysis shows that industrial agglomeration and energy consumption scale are the channels that renewable energy technologies affect carbon emissions. Thus, the implicit carbon emissions generated by industrial agglomeration and the failure to green upgrade energy consumption are the main reasons for the inverted U-shaped relationship. (3) The carbon reduction effect of renewable energy technologies of conservation type takes effect first, and renewable energy technologies of production type do not reduce carbon emissions in non-eastern cities, which means that non-eastern cities are likely to become pollution havens. This study provides evidence for renewable energy technologies to achieve efficient carbon emission reduction and cross-regional technical cooperation.
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Affiliation(s)
- Fang Qu
- School of Economics, Xihua University, Chengdu, 610039, China.
| | - Chun-Mei Li
- School of Economics, Xihua University, Chengdu, 610039, China
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Xin L, Sun H, Xia X. Renewable energy technology innovation and inclusive low-carbon development from the perspective of spatiotemporal consistency. Environ Sci Pollut Res Int 2023; 30:20490-20513. [PMID: 36255585 PMCID: PMC9579685 DOI: 10.1007/s11356-022-23556-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 10/06/2022] [Indexed: 05/17/2023]
Abstract
As an emerging driving factor, the positive impact of renewable energy technology innovation (RETI) on inclusive low-carbon development (ILCD) may be undervalued or even neglected. This paper develops an evaluation system to measure China's ILCD by using provincial panel data from 2006 to 2020. Based on the combined perspective of spatial spillover effect and threshold effect, this paper examines the spatial spillover effects and the regional boundary of RETI on ILCD in different periods and further analyzes five heterogeneities. The results show that (1) RETI and ILCD are increasing steadily, presenting a spatial pattern of "high in the east and low in the west." (2) Overall, RETI significantly promotes ILCD in local and neighboring areas. RETI in the growth period inhibits local ILCD, which in the mature period promotes local and neighboring ILCD. (3) The spatial spillover boundary of the whole RETI is 1400 km, that of RETI in the growth period is 1000 km, and that of RETI in the mature period is 1600 km. (4) The promotion effect of RETI on ILCD enhances over time and shows a spatial pattern of "eastern > central > south > north > western." It is further found that RETI strongly promotes ILCD in non-resource-based, high marketization, and strong environmental regulation areas. Therefore, it is necessary to break down administrative and market barriers, strengthen inter-regional cooperation and interconnection of resource elements, and establish a dynamic management mechanism of "one province, one policy" according to the regional heterogeneity for providing decision-making reference in promoting global energy transition and climate governance.
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Affiliation(s)
- Long Xin
- School of Economics and Management, Xinjiang University, Urumqi, 830046, China
- Centre for Innovation Management Research, Xinjiang University, Urumqi, 830046, China
| | - Hui Sun
- School of Economics and Management, Xinjiang University, Urumqi, 830046, China.
- Centre for Innovation Management Research, Xinjiang University, Urumqi, 830046, China.
| | - Xuechao Xia
- School of Economics and Management, Xinjiang University, Urumqi, 830046, China
- Centre for Innovation Management Research, Xinjiang University, Urumqi, 830046, China
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He Z, Kuai L, Chen X, Shen W, Li W. Exploring the spatial pattern of renewable energy technology innovation: evidence from China. Environ Sci Pollut Res Int 2022; 29:59076-59093. [PMID: 35380328 DOI: 10.1007/s11356-022-19841-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 03/17/2022] [Indexed: 06/14/2023]
Abstract
Considering the obvious regional differences in China, research on the drivers for renewable energy technology innovation (RETI) needs to fully consider the spatial factors. Based on the expanded function of knowledge production, which includes the human capital, institutional quality, and industrial scale, and using panel data from 29 provinces during 2006-2017, this study examines the factors promoting RETI by employing spatial regression methods. The results show that RETI presents moderate spatial agglomeration and spatial heterogeneity. Human capital, enterprise R&D intensity, and research institution R&D intensity have a significant driving effect on the local RETI, and the university R&D intensity, institutional quality, and industrial scale have no significant contribution. Human capital is the most important factor driving the local RETI, and enterprise R&D intensity has the strongest spatial spillover effect on the RETI of the surrounding provinces. In addition, the R&D intensity of enterprises and research institutions can enhance the local RETI and also significantly promote RETI in surrounding provinces through the spatial spillover effect. In contrast, human capital has played a significant driving role in the local RETI, whereas its spatial spillover effect on the surrounding provinces is not obvious. Therefore, the direct and spatial spillover effects of enterprise R&D intensity and research institution R&D intensity should be fully considered in policy making. In addition, effective policies should be formulated to break the block division of human capital investment and to promote the optimized allocation of talented people in order to better promote RETI in China.
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Affiliation(s)
- Zhengxia He
- School of Economics, Hangzhou Normal University, Hangzhou, 311121, China
| | - Leyi Kuai
- Business School, Jiangsu Normal University, Xuzhou, 221116, China
| | - Xin Chen
- Business School, University of Shanghai for Science & Technology, Shanghai, 200093, China.
| | - Wenxing Shen
- College of Economics and Management, Nanjing Forestry University, Nanjing, 210037, China
| | - Wenbo Li
- Business School, Jiangsu Normal University, Xuzhou, 221116, China
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Xin L, Sun H, Xia X, Wang H, Xiao H, Yan X. How does renewable energy technology innovation affect manufacturing carbon intensity in China? Environ Sci Pollut Res Int 2022; 29:59784-59801. [PMID: 35394630 PMCID: PMC8990506 DOI: 10.1007/s11356-022-20012-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 03/28/2022] [Indexed: 05/04/2023]
Abstract
Renewable energy technology innovation (RETI) is a crucial driver for promoting the manufacturing green transformation. However, few studies have explored the impact of RETI on manufacturing carbon intensity (MCI) from the perspective of spatial spillover and regional boundary. Based on the manufacturing panel data of 30 provinces in China from 2006 to 2020, this study examines the mechanism, spatial spillover effects, regional boundaries, and industry heterogeneity of RETI on MCI using the spatial Durbin model. The results show that (1) RETI significantly inhibits local and neighboring MCI. (2) The spatial spillover effect of RETI on MCI has a significant regional boundary, which is inhibitory in the range of 800 km and shows a significant "half-decay" characteristic at 400 km. However, in the range of 800 to 1400 km, RETI significantly promotes neighboring MCI. (3) The inhibitory effect of RETI on MCI has temporal and regional heterogeneity, which gradually increases over time, and the effect from high to low is central, west, and east. (4) RETI has a significant inhibitory effect on MCI of pollution-intensive, high-income, capital-intensive, and labor-intensive manufacturing in local and neighboring areas, but it has a more negligible effect on non-pollution-intensive, low-income, and technology-intensive MCI. The findings provide empirical evidence for formulating targeted and differentiated policy in manufacturing low-carbon development.
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Affiliation(s)
- Long Xin
- School of Economics and Management, Xinjiang University, Urumqi, 830046, China
- Centre for Innovation Management Research, Xinjiang University, Urumqi, 830046, China
| | - Hui Sun
- School of Economics and Management, Xinjiang University, Urumqi, 830046, China.
- Centre for Innovation Management Research, Xinjiang University, Urumqi, 830046, China.
| | - Xuechao Xia
- School of Economics and Management, Xinjiang University, Urumqi, 830046, China
- Centre for Innovation Management Research, Xinjiang University, Urumqi, 830046, China
| | - Hui Wang
- School of Economics and Management, Xinjiang University, Urumqi, 830046, China
- Centre for Innovation Management Research, Xinjiang University, Urumqi, 830046, China
| | - Hanyue Xiao
- School of Economics and Management, Xinjiang University, Urumqi, 830046, China
- Centre for Innovation Management Research, Xinjiang University, Urumqi, 830046, China
| | - Xinjie Yan
- School of Economics and Management, Xinjiang University, Urumqi, 830046, China
- Centre for Innovation Management Research, Xinjiang University, Urumqi, 830046, China
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Ren S, Hao Y, Wu H. Government corruption, market segmentation and renewable energy technology innovation: Evidence from China. J Environ Manage 2021; 300:113686. [PMID: 34521008 DOI: 10.1016/j.jenvman.2021.113686] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 08/19/2021] [Accepted: 09/03/2021] [Indexed: 05/21/2023]
Abstract
Due to global warming and increasingly severe resource and environmental constraints, the role of renewable energy in reducing pollutant emissions and mitigating environmental degradation has gradually attracted the attention of all countries. This study examines the relationship between government corruption, market segmentation, and renewable energy technology innovation. The regression results show that government corruption can increase the degree of market segmentation, and both government corruption and market segmentation can significantly reduce regional renewable energy technology innovation. Further analysis shows that the improvement in market segmentation can lead to a negative moderating effect of corruption on renewable energy technology innovation. In addition, corruption and market segmentation have complementary effects on the impact of renewable energy technology innovation. The improvement of corruption level can increase the negative influences of market segmentation on renewable energy technology innovation. Similarly, the higher degree of market segmentation can increase the restraining effect of corruption on renewable energy technology innovation. Therefore, this study provides a valuable reference for all countries to accelerate the construction of regional market integration, break through interprovincial barriers, and improve renewable energy technology innovation.
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Affiliation(s)
- Siyu Ren
- School of Economics, Nankai University, Tianjin, 300000, China.
| | - Yu Hao
- School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China; Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China; Sustainable Development Research Institute for Economy and Society of Beijing, Beijing, 100081, China; Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, 100081, China; Beijing Key Lab of Energy Economics and Environmental Management, Beijing, 100081, China.
| | - Haitao Wu
- School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China; Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China. https://ideas.repec.org/d/cebitcn.html
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