Collaborative management of environmental pollution and carbon emissions drives local green growth: An analysis based on spatial effects.
Autor: | Qiu L; CEEC Economic and Trade Cooperation Institute, Ningbo University, Ningbo, China. Electronic address: qiuliping@nbu.edu.cn., Xia W; Institute of International Business and Economics Innovation and Governance, Shanghai University of International Business and Economics, Shanghai, China. Electronic address: xiaweisuibe@outlook.com., Wei S; China Center for Economic Research, East China Normal University, Shanghai, China. Electronic address: weishaobinECNU@hotmail.com., Hu H; School of Economics, Shanghai University, Shanghai, China. Electronic address: huhaohn@outlook.com., Yang L; School of Business, Ningbo University, Ningbo, China. Electronic address: yanglihua@nbu.edu.cn., Chen Y; School of Economics and Management, Zhejiang Normal University, Jinhua, China. Electronic address: chenyufeng@gmail.com., Zhou H; Graduate School, Nueva Ecija University of Science and Technology, Cabanatuan, Philippines. Electronic address: zhouhaiyansh@hotmail.com., Hu F; Institute of International Business and Economics Innovation and Governance, Shanghai University of International Business and Economics, Shanghai, China. Electronic address: hufengSUIBE@hotmail.com. |
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Jazyk: | angličtina |
Zdroj: | Environmental research [Environ Res] 2024 Oct 15; Vol. 259, pp. 119546. Date of Electronic Publication: 2024 Jul 02. |
DOI: | 10.1016/j.envres.2024.119546 |
Abstrakt: | Collaborative management of environmental pollution and carbon emissions (CMPC) has been a major policy instrument to promote Sustainable Development Goals (SDG) in recent years. However, the relationship between the benefits and drawbacks of this environmental management practice for green growth in and around a local area remains to be clarified. Using 30 provinces in China during 2001-2019 as the object of analysis, we assessed the efficiency of local CMPC practices using the nonradial directional distance function (NDDF) model, predicted local green growth using the frontier green complexity index (GCI), and empirically examined the spatial effects, locational heterogeneity, and threshold characteristics of the relationship using the spatial Durbin model and the panel threshold model. Our study finds that although efficient CMPC does drive local green growth, the promotion effect is nonlinear with decreasing marginal effect. This effect is particularly obvious in economically developed regions with higher CMPCs, which will absorb resources from neighboring regions and create a "siphoning" effect. It was found that local financial support and foreign direct investment (FDI) can radiate green growth to neighboring regions; therefore, CMPC practice needs to pay more attention to the effect of joint governance, supplemented by financial and foreign investment policy tools, to better promote the green transformation of local economy. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 Elsevier Inc. All rights reserved.) |
Databáze: | MEDLINE |
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