How do multi-faceted environmental policies enhance the production efficiency of enterprises?-Mechanisms discovery based on machine learning algorithms
被引:0
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作者:
Wang, Yuan
论文数: 0引用数: 0
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机构:
South China Univ Technol, Sch Business Adm, Guangzhou, Peoples R ChinaSouth China Univ Technol, Sch Business Adm, Guangzhou, Peoples R China
Wang, Yuan
[1
]
Chen, Ziqi
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机构:
Jinan Univ, Int Business Sch, Guangzhou, Peoples R ChinaSouth China Univ Technol, Sch Business Adm, Guangzhou, Peoples R China
Chen, Ziqi
[2
]
Shen, Hushuang
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h-index: 0
机构:
China Univ Petr Beijing Karamay, Sch Petr, Karamay, Peoples R ChinaSouth China Univ Technol, Sch Business Adm, Guangzhou, Peoples R China
Shen, Hushuang
[3
]
机构:
[1] South China Univ Technol, Sch Business Adm, Guangzhou, Peoples R China
[2] Jinan Univ, Int Business Sch, Guangzhou, Peoples R China
[3] China Univ Petr Beijing Karamay, Sch Petr, Karamay, Peoples R China
Environmental regulation;
Environmental protection incentive;
Green innovation;
Cleaner production;
Production efficiency;
Double machine learning;
GREEN PROCESS INNOVATION;
IMPACT;
PERFORMANCE;
MEDIATION;
COSTS;
FIRM;
D O I:
10.1016/j.jenvman.2024.123913
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Carbon neutrality has gained considerable attention globally, and the impact of environmental policy on businesses has been extensively studied. However, the mechanism through which environmental policy affects production efficiency within the enterprise remains unclear. The objectives of this paper are: 1. To analyze the effects of different environmental policies on the production efficiency of enterprises; 2. From the perspective of production process transformation, the mechanism of these policies affecting production efficiency is comprehensively examined. This paper adopts a novel approach, grounded in the Porter Hypothesis, to analyze the impact of environmental policy on enhancing firm-level production efficiency. Specifically, we utilized data from Chinese listed companies to examine the influence of environmental policy on total factor productivity and its underlying mechanisms. To explore the different impacts of environmental policies, we separate them into environmental regulatory policies and incentive environmental policies. Our results suggest that regulatory and incentive-based environmental policies can enhance firm-level production efficiency through three primary mechanisms: 1. Regulatory environmental policies promote green innovation, leading to cleaner production processes and improved efficiency.2. Incentive-based environmental policies and regulatory environmental policies encourage firms to invest in environmentally-friendly practices, resulting in cleaner production and increased efficiency.3. Both types of policies can stimulate fixed factor input and improve production efficiency through industrial upgrading. Furthermore, our analysis revealed interesting new findings regarding the heterogeneity of firm property rights and pollution levels. Finally, we propose policy recommendations to assist the government in achieving green economic development.
机构:
Xiamen Univ, Dept Commun Engn, Xiamen, Fujian, Peoples R China
Princeton Univ, Princeton, NJ 08544 USA
Virginia Tech, Blacksburg, VA 24061 USA
Univ Maryland, College Pk, MD 20742 USAXiamen Univ, Dept Commun Engn, Xiamen, Fujian, Peoples R China
Xiao, Liang
Wan, Xiaoyue
论文数: 0引用数: 0
h-index: 0
机构:
Xiamen Univ, Xiamen, Fujian, Peoples R ChinaXiamen Univ, Dept Commun Engn, Xiamen, Fujian, Peoples R China
Wan, Xiaoyue
Lu, Xiaozhen
论文数: 0引用数: 0
h-index: 0
机构:
Xiamen Univ, Dept Commun Engn, Xiamen, Fujian, Peoples R ChinaXiamen Univ, Dept Commun Engn, Xiamen, Fujian, Peoples R China
Lu, Xiaozhen
Zhang, Yanyong
论文数: 0引用数: 0
h-index: 0
机构:
Rutgers State Univ, Elect & Comp Engn Dept, North Brunswick, NJ USA
Wireless Informat Networking Lab, North Brunswick, NJ USA
Nokia Res Ctr, Beijing, Peoples R ChinaXiamen Univ, Dept Commun Engn, Xiamen, Fujian, Peoples R China
Zhang, Yanyong
Wu, Di
论文数: 0引用数: 0
h-index: 0
机构:
NYU, Polytech Inst, Dept Comp Sci & Engn, Brooklyn, NY USA
Sun Yat Sen Univ, Guangzhou, Guangdong, Peoples R China
Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou, Guangdong, Peoples R ChinaXiamen Univ, Dept Commun Engn, Xiamen, Fujian, Peoples R China