How Effective is the Regional Joint Environmental Policy in China? Evidence from Inverse Difference-in-Differences

Abstract This paper aims to evaluate the effects of the “2+26” policy launched by the Chinese government to improve air quality in Beijing–Tianjin–Hebei and its surrounding region. In order to evaluate such policy interventions, we propose a new inverse difference-in-differences (IDID) framework, which can identify the average quasi-causal effect under the inverse common trend condition. Using a baseline IDID regression model, we find that the “2+26” policy has a significant effect on improving the air quality, since the policy would reduce the value of Air Quality Index by 9.338 on average, if it had been implemented in the pre-treatment period. In the supplementary materials, we also investigate the co-existing spatial–seasonal policy effects by using several heterogeneous IDID regression models and show the remarkable long-run quasi-benefits over the quasi-costs of the “2+26” policy in Beijing and Tianjin through a cost–benefit analysis. Supplementary materials accompanying this paper appear online.

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Publication Details

Journal
Journal of Agricultural Biological and Environmental Statistics
Published
2024-09-19
DOI
https://doi.org/10.1007/s13253-024-00655-5
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00

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article

How Effective is the Regional Joint Environmental Policy in China? Evidence from Inverse Difference-in-Differences

Ke Zhu, Huayi Yu, Ningning Zhang
Journal of Agricultural Biological and Environmental Statistics
Energy, Environment, Economic Growth
article

How Effective is the Regional Joint Environmental Policy in China? Evidence from Inverse Difference-in-Differences

Ke Zhu, Huayi Yu, Ningning Zhang
article en

Abstract

Abstract This paper aims to evaluate the effects of the “2+26” policy launched by the Chinese government to improve air quality in Beijing–Tianjin–Hebei and its surrounding region. In order to evaluate such policy interventions, we propose a new inverse difference-in-differences (IDID) framework, which can identify the average quasi-causal effect under the inverse common trend condition. Using a baseline IDID regression model, we find that the “2+26” policy has a significant effect on improving the air quality, since the policy would reduce the value of Air Quality Index by 9.338 on average, if it had been implemented in the pre-treatment period. In the supplementary materials, we also investigate the co-existing spatial–seasonal policy effects by using several heterogeneous IDID regression models and show the remarkable long-run quasi-benefits over the quasi-costs of the “2+26” policy in Beijing and Tianjin through a cost–benefit analysis. Supplementary materials accompanying this paper appear online.

Journal of Agricultural Biological and Environmental Statistics
Renmin University of China (CN), University of Hong Kong (HK)
National Natural Science Foundation of China, University Grants Committee
Openalex Percentile: Top 80%
Energy, Environment, Economic Growth
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How Effective is the Regional Joint Environmental Policy in China? Evidence from Inverse Difference-in-Differences — Ke Zhu, Huayi Yu, et al. · Journal of Agricultural Biological and Environmental Statistics (2024) | TGRS Research Map | TGRS