Influences of Environmental Regulations on Industrial Green Technology Innovation Efficiency in China

被引:10
|
作者
Shen, Wanfang [1 ]
Shi, Jianing [2 ]
Meng, Qinggang [2 ]
Chen, Xiaolan [3 ]
Liu, Yufei [2 ]
Cheng, Ken [4 ,5 ]
Liu, Wenbin [5 ,6 ]
机构
[1] Shandong Univ Finance & Econ, Shandong Key Lab Blockchain Finance, Jinan 250014, Peoples R China
[2] Shandong Univ Finance & Econ, Sch Math & Quantitat Econ, Jinan 250002, Peoples R China
[3] Shandong Univ Finance & Econ, Shandong Technol Innovat Ctr Social Governance In, Jinan 250014, Peoples R China
[4] Univ Kent, Kent Business Sch, Canterbury CT1 7NZ, Kent, England
[5] Beijing Normal Univ, Ctr Evaluat Studies, Zhuhai 519088, Peoples R China
[6] Beijing Normal Univ, Hong Kong Baptist Univ United Int Coll, Div Business & Management, Zhuhai 519087, Peoples R China
基金
中国国家自然科学基金; 中国国家社会科学基金;
关键词
industrial green technology innovation efficiency; CO2; environmental regulation; two-stage network SBM-DEA model; panel threshold model; NETWORK; IMPACT; DEA;
D O I
10.3390/su14084717
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Paris Agreement marks global response to climate change after 2020 and China has proposed the dual carbon goals, carbon peaking and carbon neutrality, in response. This paper analyses the contribution to dual carbon goals by analyzing the impact of environmental regulations (ERs) on green technology innovation (GTI) in China. First, considering variances in energy consumption structure across provinces and industries, industrial CO2 emission is calculated and set as an undesirable output of industrial GTI. Then, industrial green technology innovation efficiencies (GTIE) of 29 provinces in China between 2005-2017 are calculated using a non-oriented two-stage network SBM-DEA model assuming variable returns to scale. Last, dynamic evolution and regional differences of industrial GTIE during green technology R&D, green technology commercialization, and overall GTI stages are respectively observed, and the influences from different types of ERs, command-based (CER), market-based (MER), and voluntary (VER), on industrial GTIE are analyzed. We identify China is overall experiencing relatively low but gradually increasing industrial GTIE and Industrial GTIE present gradient changes across provinces with increasingly prominent regional difference. It is found that influences of types of ERs on industrial GTIE present dynamic effect, threshold effect, lag effect and regional differences.
引用
收藏
页数:25
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