Cooperative econometric model for regional air pollution control with the additional goal of promoting employment

Xue, Jian; Ji, Xiaoqin; Zhao, Laijun; Yang, Yong; Xie, Yujing; Li, Deqiang; Wang, Chenchen; Sun, Weigang

doi:10.1016/j.jclepro.2019.117814

Cited by 18 publications

(3 citation statements)

References 30 publications

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“…This research provides a preliminary exploration of the mechanism between innovation provinces pilot policy and environmental pollution, while two limitations still deserve to be further explored. First, this thesis has systematically explored the mediating role of technological innovation and industrial structure upgrading in the relationships between innovation provinces pilot policy and environmental pollution in China, while the other potential mediation variables such as foreign direct investment (Abbass et al, 2022), resource allocation (Sueyoshi and Yuan, 2015), employment Structure (Xue et al, 2019), regional human capital levels (Wei and Liu, 2022) may also be considered in the further studies which will lead to more useful and practical implications.…”

Section: Study Limitationsmentioning

confidence: 99%

Has building innovative provinces reduce environmental pollution?--evidence from a quasi-natural experiment in China

Tang

2023

Front. Environ. Sci.

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The implementation of innovative provinces as a pivotal pilot measure to promote the in‐depth advancement of ecology in China is a critical undertaking. An accurate assessment of the environmental effects of these innovative provinces is necessary to obtain a comprehensive understanding of the impact of pilot policies and facilitate the promotion of future policies with precision. In this study, the difference‐in‐differences method and the mediation model are employed to analyze the effect and mechanism of the pilot policies for innovative provinces on regional environmental pollution in 30 provinces in China from 2008-2020. The results demonstrate that the innovation provincial policies have resulted in an average reduction of 14.6% in environmental pollution annually in the pilot areas. This conclusion is still valid after robustness tests are eliminated. Furthermore, the mediation effect model provides evidence that the innovation provinces pilot policy reduces environmental pollution through technological innovation and industrial structure upgrading. Additionally, the heterogeneity analysis finds that innovation provinces pilot policy have led to a reduction of 17.4% in environmental pollution in coastal regions and a reduction of 11.7% in inland regions annually. Overall, this research contributes to the existing literature by underscoring the importance of innovation‐driven development for environmental governance and effectively promoting the construction of a resource‐saving and environment‐friendly society.

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Section: Study Limitationsmentioning

confidence: 99%

Has building innovative provinces reduce environmental pollution?--evidence from a quasi-natural experiment in China

Tang

2023

Front. Environ. Sci.

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“…Targeted legislation, regulations, emission standards, and permits have achieved outstanding results in environ-mental management, such as the Clean Air Act in the United States and the Air Pollution Prevention and Control Action Plan in China. Existing studies find that strict environmental policies have increased the cost of controlling environmental impacts, and interregional cooperation can save governance cost and enhance policy effectiveness (Xue et al, 2019). Therefore, interregional cooperation mechanisms are urgently needed.…”

Section: Interregional Cooperation Mechanisms For Synergetic Control ...mentioning

confidence: 99%

Reducing environmental impacts through socioeconomic transitions: critical review and prospects

Liang

Zhong

2022

Front. Environ. Sci. Eng.

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Rapid socioeconomic development has caused numerous environmental impacts. Human production and consumption activities are the underlying drivers of resource uses, environmental emissions, and associated environmental impacts (e.g., ecosystem quality and human health). Reducing environmental impacts requires an understanding of the complex interactions between socioeconomic system and environmental system. Existing studies have explored the relationships among human society, economic system, and environmental system. However, it is unclear about the research progress in the effects of socioeconomic activities on environmental impacts and the potential directions of future research. This critical review finds that existing studies have identified critical regions, sectors, and transmission pathways for resource uses, environmental emissions, and environmental impacts from supply chain perspectives. Moreover, scholars have characterized the impacts of socioeconomic transitions on resource uses and environmental emissions. However, existing studies overlook the dynamic nature of the interconnections among human society, economic system, and environmental system. In addition, the effects of socioeconomic structural transitions on environmental impacts remain unknown. This review proposes four prospects and possible solutions that will contribute to a better understanding of the complex interactions among human society, economic system, and environmental system. They can help identify more effective solutions to reduce environmental impacts through socioeconomic transitions.

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“…However, in the modern context, environmental destruction is unacceptable, so investments in environmental protection must be accounted for to measure their impact on economic growth [35]. Xue et al [36] recommended the use of the Cobb-Douglas production function in such analyses; they chose the SO 2 abatement quantity (r i ) as a factor of investments in environmental protection (i.e., non-production input factor), and chose labor input (L i ), technology level (A i ), net value of fixed assets (K i ), and GDP (Y i ) as production input factors. Therefore, the employment function for area i can be expressed as follows (1):…”

Section: Construction Of Employment and Pollutant Abatement Cost Funcmentioning

confidence: 99%

A Joint Control Model Based on Emission Rights Futures Trading for Regional Air Pollution That Accounts for the Impacts on Employment

et al. 2019

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To reduce air pollutant control costs and solve the problem of decreased employment caused by air pollution control, we established a double-objective optimization Joint Control Model (JCM) based on emission rights futures trading. The JCM calculates the spot price of emission rights, classifies regions in the trading market for emission rights into buyers and sellers, and calculates the optimal cooperative pollution abatement quantity. Compared with a non-cooperative control mode, the JCM generated benefits of US$2485.19 × 10 6 . We then used a Game Quadratic Programming (GQP) method to distribute the benefits, and applied the JCM to a case study of the abatement of sulfur dioxide in China's Shanxi, Henan, and Shaanxi provinces. We found that: (i) Compared with a JCM that does not account for employment, employment under the JCM increased by 3.20 × 10 3 people, and the pollution control cost decreased by US$11.20 × 10 6 under the JCM that considered employment. The effect of the latter model is better than that of the former. (ii) Employment under the JCM increased by 18.80 × 10 4 people compared with that under a territorial control mode, reducing the cost by US$99.73 × 10 6 . The JCM is helpful for all participating regions to balance environmental and livelihood issues in the process of air pollution control to achieve sustainable development.

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Cooperative econometric model for regional air pollution control with the additional goal of promoting employment

Cited by 18 publications

References 30 publications

Has building innovative provinces reduce environmental pollution?--evidence from a quasi-natural experiment in China

Has building innovative provinces reduce environmental pollution?--evidence from a quasi-natural experiment in China

Reducing environmental impacts through socioeconomic transitions: critical review and prospects

A Joint Control Model Based on Emission Rights Futures Trading for Regional Air Pollution That Accounts for the Impacts on Employment

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