The Impacts of Water Ecological Carrying Capacity on Green Total Factor Productivity: The Case of Chemical Industry in Jiangsu, China

被引:1
作者
Gu, Yan [1 ]
Chen, Junfei [1 ]
Ji, Juan [1 ]
Deng, Menghua [1 ]
机构
[1] Hohai Univ, Business Sch, Nanjing 211100, Peoples R China
来源
SAGE OPEN | 2024年 / 14卷 / 02期
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
chemical industry; green total factor productivity; water ecological carrying capacity; driving factor; Jiangsu Province of China; ENERGY EFFICIENCY; GROWTH; ENVIRONMENT; POPULATION; SYSTEM; MODEL;
D O I
10.1177/21582440241242665
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
The chemical industry is not only a crucial sector of national economy, but also a significant consumer of water resources and a major initiator of water pollution. The sustainable development of this sector is intricately linked to the regional water ecological carrying capacity (WECC). Based on SBM-DEA and Global Moran's I, the green total factor productivity (GTFP) and spatial correlation characteristics of the chemical industry in 13 cities within China's chemical agglomeration region in Jiangsu Province were estimated from 2015 to 2019. By combining the WECC results, the Tobit model was employed to reveal the driving factors of WECC in optimizing GTFP. The results indicated that the regional WECC in southern Jiangsu was increasing compared with that in northern Jiangsu, which promoted the growth of GTFP. WECC has been a positive radiation-driven effect since 2017, and the optimization of the various subsystems of WECC has had a different impact on GTFP. For the sustainable development of Jiangsu's chemical industry, effective water resource policies should be formulated by the government, while enterprises need to pursue sustained structural adjustments.
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页数:17
相关论文
共 47 条
[1]   Does technology innovation matter for environmental pollution? Testing the pollution halo/haven hypothesis for Asian countries [J].
Abbass, Kashif ;
Song, Huaming ;
Mushtaq, Zulqarnain ;
Khan, Farina .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (59) :89753-89771
[2]   A review of the global climate change impacts, adaptation, and sustainable mitigation measures [J].
Abbass, Kashif ;
Qasim, Muhammad Zeeshan ;
Song, Huaming ;
Murshed, Muntasir ;
Mahmood, Haider ;
Younis, Ijaz .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (28) :42539-42559
[3]   Bayesian Conjugacy in Probit, Tobit, Multinomial Probit and Extensions: A Review and New Results [J].
Anceschi, Niccolo ;
Fasano, Augusto ;
Durante, Daniele ;
Zanella, Giacomo .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023, 118 (542) :1451-1469
[4]   Assessment and prediction of the water ecological carrying capacity in Changzhou city, China [J].
Bu, Jiuhe ;
Li, Chunhui ;
Wang, Xuan ;
Zhang, Yuan ;
Yang, Zhongwen .
JOURNAL OF CLEANER PRODUCTION, 2020, 277
[5]   MEASURING EFFICIENCY OF DECISION-MAKING UNITS [J].
CHARNES, A ;
COOPER, WW ;
RHODES, E .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) :429-444
[6]   Multi-criteria decision making and fairness evaluation of water ecological carrying capacity for inter-regional green development [J].
Chen, Yizhong ;
Lu, Hongwei ;
Li, Jing ;
Yang, Yiyang ;
Xia, Jun .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (06) :6470-6490
[7]   Industrial agglomeration and haze pollution: Evidence from China [J].
Chen, Yufeng ;
Zhu, Zhitao ;
Cheng, Siyuan .
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 845
[8]  
China Environmental Monitoring Station, 2014, Technical guidelines for river water environmental quality assessment (Trial)
[9]  
Chinese Society of Environmental Sciences, 2014, Technical guidelines for hydro-ecological carrying capacity evaluation
[10]   Productivity and undesirable outputs: A directional distance function approach [J].
Chung, YH ;
Fare, R ;
Grosskopf, S .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 1997, 51 (03) :229-240