The Impact of Environmental Regulations on Technological Progress of the Pesticide Manufacturing Industry in China
Abstract
:1. Introduction
2. Theoretical Analysis: Impact of Environmental Regulations on Technological Progress of the Pesticide Manufacturing Industry
3. Econometric Model and Date
3.1. Econometric Model
3.2. Data
4. Empirical Results
4.1. Basic Regression Result
4.2. Robust Test
4.2.1. Endogeneity Test
4.2.2. Modify the Sample
4.2.3. Eliminate the Influence of the COVID-19 Pandemic
4.3. Mechanism Analysis
4.4. Heterogeneity Analysis
4.4.1. Environmental Regulation Type Heterogeneity
4.4.2. Level of Economic Development Heterogeneity
4.4.3. Industrial Structure Heterogeneity
4.4.4. Planting Structure Heterogeneity
4.4.5. Regional Heterogeneity
5. Conclusions and Policy Recommendation
5.1. Conclusions
5.2. Policy Recommendation
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Environmental Regulation Category | Indicators |
---|---|
command-and-control environmental regulation | (1) The number of currently effective pesticide environmental laws (2) The number of currently effective pesticide administrative regulations (3) The number of currently effective pesticide normative documents |
market-incentive environmental regulation | (1) Investment in the treatment of industrial pollution (CNY 10,000) (2) Environmental protection tax (pollutant discharge fee) (CNY 10,000) |
Variables | Description | Mean | Standard Deviation | Min | Max |
---|---|---|---|---|---|
App | number of invention patent applications | 95.784 | 172.39 | 0 | 1295 |
Dis | number of invention patent authorizations | 27.161 | 38.396 | 0 | 314 |
er | environmental regulations | 0.154 | 0.126 | 0 | 0.597 |
er1 | command-and-control environmental regulation | 0.121 | 0.109 | 0 | 0.554 |
er2 | market-incentive environmental regulation | 0.033 | 0.028 | 0 | 0.157 |
GDP | per capita real GDP (CNY 10,000) | 2.873 | 2.212 | 0.424 | 13.784 |
I | proportion of industrial added value in GDP (%) | 0.359 | 0.086 | 0.100 | 0.574 |
P | proportion of non-grain crops sown area in total sown area (%) | 0.341 | 0.136 | 0.029 | 0.645 |
F | ratio of foreign direct investment to GDP (%) | 0.509 | 1.571 | 0.048 | 34.014 |
(1) | (2) | |
---|---|---|
Invention Patent Application Model | Invention Patent Authorization Model | |
environmental regulations | 0.0341 ** | 0.0808 *** |
(0.0170) | (0.0255) | |
economic development level | −0.00155 | 0.0317 |
(0.0609) | (0.0902) | |
industrial structure | 0.103 | 0.0499 |
(0.0927) | (0.146) | |
planting structure | 0.0440 * | 0.0458 |
(0.0246) | (0.0364) | |
foreign investment | 0.0478 | 0.0544 |
(0.0359) | (0.0473) | |
first-order lagged terms of | 0.883 *** | |
invention patent application | (0.0192) | |
first-order lagged terms of | 0.804 *** | |
invention patent authorization | (0.0336) | |
constant | 0.729 | 0.663 |
(0.675) | (1.149) | |
AR (1) | 0.003 | 0 |
AR (2) | 0.814 | 0.094 |
Sargan test | 0.987 | 0.762 |
number of id | 30 | 30 |
observations | 510 | 510 |
System GMM | ||||
---|---|---|---|---|
Patent Application | Patent Authorization | |||
First Stage | Second Stage | First Stage | Second Stage | |
IV variables | 0.848 *** | 0.848 *** | ||
(0.0959) | (0.0959) | |||
Environmental regulations | 1.777 *** | 1.520 *** | ||
(0.229) | (0.195) | |||
Control variables | Yes | Yes | Yes | Yes |
Control time | Yes | Yes | Yes | Yes |
Number of id | 30 | 30 | 30 | 30 |
Observations | 510 | 510 | 510 | 510 |
Kleibergen–Paap rk LM | 48.337 | 48.337 | ||
Kleibergen–Paap rk Wald F | 78.084 | 78.084 |
System GMM | ||
---|---|---|
Patent Application | Patent Authorization | |
Environmental regulations | 0.0341 * | 0.0935 *** |
(0.0174) | (0.0282) | |
Control variables | Yes | Yes |
Control time | Yes | Yes |
Constant | 1.246 | 0.391 |
(0.868) | (1.248) | |
AR (1) | 0.003 | 0 |
AR (2) | 0.904 | 0.064 |
Sargan test | 0.963 | 0.357 |
Number of id | 26 | 26 |
Observations | 442 | 442 |
System GMM | ||
---|---|---|
Patent Application | Patent Authorization | |
Environmental regulations | 0.0463 ** | 0.0979 *** |
(0.0202) | (0.0322) | |
Control variables | Yes | Yes |
Control time | Yes | Yes |
Constant | 1.994 ** | 2.389 |
(0.914) | (1.461) | |
AR (1) | 0.004 | 0.001 |
AR (2) | 0.785 | 0.063 |
Sargan test | 0.984 | 0.848 |
Number of id | 30 | 30 |
Observations | 476 | 476 |
System GMM | ||
---|---|---|
Science and Technology Investment | Research and Development (R&D) Expenditure | |
Environmental regulations | 0.0115 ** | 0.0114 * |
(0.00676) | (0.00638) | |
Control variables | Yes | Yes |
Control time | Yes | Yes |
Constant | −0.394 | −0.0450 |
(0.263) | (0.203) | |
AR (1) | 0 | 0.001 |
AR (2) | 0.212 | 0.505 |
Sargan test | 0.218 | 0.751 |
Number of id | 30 | 30 |
Observations | 510 | 510 |
System GMM | ||||
---|---|---|---|---|
Invention Patent Application Model | Invention Patent Authorization Model | |||
Command-and- Control (1) | Market Incentive (2) | Command-and- Control (3) | Market Incentive (4) | |
command-and-control | 0.0186 * | 0.0326 ** | ||
environmental regulation | (0.0110) | (0.0133) | ||
market-incentive | 0.0931 ** | 0.155 *** | ||
environmental regulation | (0.0374) | (0.0452) | ||
control variables | Yes | Yes | Yes | Yes |
control time | Yes | Yes | Yes | Yes |
constant | 0.676 | 1.391 ** | 0.451 | 1.407 |
(0.655) | (0.691) | (0.960) | (0.923) | |
AR (1) | 0.003 | 0.002 | 0 | 0 |
AR (2) | 0.812 | 0.836 | 0.094 | 0.112 |
Sargan test | 0.996 | 0.923 | 0.995 | 0.878 |
Number of id | 30 | 30 | 30 | 30 |
Observations | 510 | 510 | 510 | 510 |
System GMM | ||||
---|---|---|---|---|
High Economic Development Levels | Low Economic Development Levels | |||
Patent Application | Patent Authorization | Patent Application | Patent Authorization | |
environmental regulations | 0.0839 *** | 0.0456 * | 0.141 *** | 0.0843 ** |
(0.0250) | (0.0254) | (0.0269) | (0.0368) | |
control variables | Yes | Yes | Yes | Yes |
control time | Yes | Yes | Yes | Yes |
constant | 2.574 ** | 0.612 | 2.486 * | 2.182 ** |
(1.034) | (0.670) | (1.453) | (0.972) | |
AR (1) | 0.032 | 0.009 | 0.049 | 0.001 |
AR (2) | 0.742 | 0.795 | 0.136 | 0.164 |
Sargan test | 0.712 | 0.982 | 0.944 | 0.865 |
number of id | 10 | 20 | 10 | 20 |
observations | 170 | 340 | 170 | 340 |
System GMM | ||||
---|---|---|---|---|
Regions with a Higher Proportion of Industry | Regions with a Lower Proportion of Industry | |||
Patent Application | Patent Authorization | Patent Application | Patent Authorization | |
environmental regulations | 0.0613 ** | 0.0567 ** | 0.106 * | 0.0941 ** |
(0.0276) | (0.0250) | (0.0563) | (0.0417) | |
control variables | Yes | Yes | Yes | Yes |
control time | Yes | Yes | Yes | Yes |
constant | 1.181 | 0.211 | 1.566 | 0.0559 |
(0.772) | (0.609) | (1.173) | (1.028) | |
AR (1) | 0.05 | 0.004 | 0.023 | 0.001 |
AR (2) | 0.287 | 0.077 | 0.143 | 0.488 |
Sargan test | 0.942 | 0.84 | 0.991 | 0.752 |
number of id | 15 | 15 | 15 | 15 |
observations | 255 | 255 | 255 | 255 |
System GMM | ||||
---|---|---|---|---|
Regions with a Higher Proportion of Cash Crop Planting | Regions with a Lower Proportion of Cash Crop Planting | |||
Patent Application | Patent Authorization | Patent Application | Patent Authorization | |
environmental regulations | 0.0358 * | 0.0866 *** | 0.0529 * | 0.128 ** |
(0.0214) | (0.0293) | (0.0276) | (0.0552) | |
control variables | Yes | Yes | Yes | Yes |
control time | Yes | Yes | Yes | Yes |
constant | −0.304 | 3.226 *** | −0.645 | 3.666 |
(0.638) | (1.100) | (0.916) | (2.288) | |
AR (1) | 0.034 | 0.002 | 0.007 | 0.005 |
AR (2) | 0.902 | 0.669 | 0.711 | 0.087 |
Sargan test | 0.9 | 0.88 | 0.907 | 0.863 |
number of id | 15 | 15 | 15 | 15 |
observations | 225 | 225 | 225 | 225 |
System GMM | ||||||
---|---|---|---|---|---|---|
Eastern | Central | Western | ||||
Patent Application | Patent Authorization | Patent Application | Patent Authorization | Patent Application | Patent Authorization | |
environmental regulations | 0.330 ** | 0.255 * | 0.0720 * | −0.266 * | 0.147 ** | 0.103 * |
(0.158) | (0.153) | (0.0411) | (0.138) | (0.0701) | (0.0537) | |
control variables | Yes | Yes | Yes | Yes | Yes | Yes |
control time | Yes | Yes | Yes | Yes | Yes | Yes |
constant | −1.797 | 0.216 | 8.003 | −19.98 *** | −0.266 | 2.973 ** |
(3.323) | (1.031) | (5.118) | (7.405) | (2.388) | (1.270) | |
AR (1) | 0.008 | 0.018 | 0.008 | 0.03 | 0.027 | 0.008 |
AR (2) | 0.570 | 0.597 | 0.314 | 0.415 | 0.758 | 0.289 |
Sargan test | 0.101 | 0.760 | 0.474 | 0.134 | 0.453 | 0.969 |
number of id | 11 | 11 | 8 | 8 | 11 | 11 |
observations | 187 | 187 | 136 | 136 | 187 | 187 |
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Yang, H.; Zhu, X.; Chen, C. The Impact of Environmental Regulations on Technological Progress of the Pesticide Manufacturing Industry in China. Sustainability 2025, 17, 4550. https://doi.org/10.3390/su17104550
Yang H, Zhu X, Chen C. The Impact of Environmental Regulations on Technological Progress of the Pesticide Manufacturing Industry in China. Sustainability. 2025; 17(10):4550. https://doi.org/10.3390/su17104550
Chicago/Turabian StyleYang, Haixia, Xinxin Zhu, and Chao Chen. 2025. "The Impact of Environmental Regulations on Technological Progress of the Pesticide Manufacturing Industry in China" Sustainability 17, no. 10: 4550. https://doi.org/10.3390/su17104550
APA StyleYang, H., Zhu, X., & Chen, C. (2025). The Impact of Environmental Regulations on Technological Progress of the Pesticide Manufacturing Industry in China. Sustainability, 17(10), 4550. https://doi.org/10.3390/su17104550