以京津风沙源治理工程为政策背景,基于2000—2018年环首都地区县域层面的面板数据,采用固定效应和双重差分模型实证检验了植树造林对人均GDP、农村居民人均可支配收入、PM2.5浓度及二氧化硫排放强度的影响。研究发现:环首都地区的植树造林显著提高了人均GDP和农村居民人均可支配收入,降低了PM2.5浓度和二氧化硫排放强度,表明京津风沙源治理中的经济发展与环境保护可以兼顾,这一结论在选择“京津风沙源治理工程”作为准自然实验进行稳健性检验后仍然成立。强环境政策冲击会推动地区经济与环境质量的短期提升,但作用的长期可持续性需要加强。此外,强环境政策冲击对农村居民人均可支配收入的带动效应存在明显的时间滞后性。
This study examines the impact of afforestation on per capita GDP, per capita disposable income of rural residents, PM2.5 concentration, and sulfur dioxide emission intensity using panel data at the county level in the Beijing-Tianjin region from 2000 to 2018. The analysis is conducted within the policy framework of the Beijing-Tianjin Sandstorm Source Control Project, utilizing fixed effects and difference-in-differences models. The findings reveal that afforestation in the Beijing-Tianjin region significantly enhances per capita GDP and per capita disposable income of rural residents, while reducing PM2.5 concentration and sulfur dioxide emission intensity, indicating the feasibility of achieving economic development and environmental protection simultaneously. The robustness tests, which employ the Beijing-Tianjin Sandstorm Source Control Project as a quasi-natural experiment, affirm this conclusion. Strong environmental policy measures can improve regional economy and environmental quality in the short term, but the long-term sustainability of their effects requires reinforcement. Moreover, the impact of strong environmental policy measures on per capita disposable income of rural residents exhibits an evident time lag.
[1] Grossman G M,Krueger A B. Economic growth and environment [J]. NBER Working Paper, 2001(2):1-20
[2] Timmons R, Peter E G. Carbon intensity and economic development 1962-1991: A brief exploration of the Environmental Kuznets Curve [J]. World Development, 1997(2):191-198
[3] Carson R, Jeon Y, Mccubbin D. The relationship between air pollution emissions and income: U S Data[J]. Environment and Development Economics, 2001(4):433-450
[4] 符淼.我国环境库兹涅茨曲线:形态、拐点和影响因素[J].数量经济技术经济研究, 2008(11):40-55
[5] Friedl B,Getzner M. Economic growth and the environment in Austria [J]. World Development,2002(20): 401-416
[6] Elif A, Ipek T, Serap T. Environmental impact of customs union agreement with EU on Turkey’s trade in manufacturing industry [J]. Applied Economics, 2008(17):2295-2304
[7] 林伯强,蒋竺均.中国二氧化碳的环境库兹涅茨曲线预测及影响因素分析[J].管理世界, 2009(4):27-36
[8] 王艺明,胡久凯.对中国碳排放环境库兹涅茨曲线的再检验[J].财政研究, 2016(11):51-64
[9] 丁焕峰,李佩仪.中国区域污染与经济增长实证:基于面板数据联立方程[J].中国人口·资源与环境, 2012(1):49-56
[10] Destek M A, Shahbaz M, Okumu I, et al. The relationship between economic growth and carbon emissions in G-7 countries: Evidence from time-varying parameters with a long history [J]. Environmental Science and Pollution Research, 2020(3):1-18
[11] Stefan S, Terje S. The link between green and economic success: Environmental management as the crucial trigger between environmental and economic performance[J]. Journal of Environment Management, 2002(8):339-346
[12] Boyd G, McClelland J. The impact of environmental constraints on productivity improvement in integrated paper plants[J]. Journal of Environmental and Management, 1999(9):121-142
[13] 申晨,李胜兰,黄亮雄.异质性环境规制对中国工业绿色转型的影响机理研究——基于中介效应的实证分析[J].南开经济研究, 2018(5):95-114
[14] 蒋伏心,王竹君,白俊红.环境规制对技术创新影响的双重效应——基于江苏制造业动态面板数据的实证研究[J].中国工业经济, 2013(7):44-55
[15] 宋马林,王舒鸿.环境规制、技术进步与经济增长[J].经济研究, 2013(3):122-134
[16] 王岭,刘相锋,熊艳.中央环保督察与空气污染治理——基于地级城市微观面板数据的实证分析[J].中国工业经济, 2019(10):5-22
[17] 陈诗一,陈登科.雾霾污染、政府治理与经济高质量发展[J].经济研究, 2018(2):20-34
[18] 陆铭,冯皓.集聚与减排:城市规模差距影响工业污染强度的经验研究[J].世界经济, 2014(7):86-114
[19] 田雪航,何爱平.环境规制对经济增长影响的利益冲突及对策研究[J].经济问题探索, 2021(3):111-119
[20] 刘璨,张巍.退耕还林政策选择对农户收入的影响——以我国京津风沙源治理工程为例[J].经济学(季刊), 2007(1):273-290
[21] Beck T, Levine R, Levkov A. Big bad banks? The winners and losers from bank deregulation in the United States[J]. The Journal of Finance, 2010(5):1637-1667
[22] Wang J. The economic impact of special economic zones: Evidence from Chinese municipalities[J]. Journal of Development Economics, 2013(101):133-147
[23] 王德利.中国城市群城镇化发展质量的综合测度与演变规律[J].中国人口科学, 2018(1):46-59,127
[24] 赵晨曦,王云琦,王玉杰,等.北京地区冬春PM2.5和PM10污染水平时空分布及其与气象条件的关系[J].环境科学, 2014(2):418-427