Are Small Cities More Environmentally Friendly? An Empirical Study from China

被引:29
|
作者
Liu, Shuai [1 ,2 ]
Fan, Fei [1 ,3 ]
Zhang, Jianqing [1 ,4 ]
机构
[1] Wuhan Univ, Inst Cent China Dev, Wuhan 430072, Hubei, Peoples R China
[2] Nanyang Technol Univ, Sch Social Sci, Div Econ, Singapore 637332, Singapore
[3] Univ Queensland, Sch Earth & Environm Sci, Brisbane, Qld 4072, Australia
[4] Wuhan Univ, Sch Econ & Management, Wuhan 430072, Hubei, Peoples R China
基金
美国国家科学基金会;
关键词
PM2.5; city size; STIRPAT; China; CO2; EMISSIONS; AIR-POLLUTION; KUZNETS CURVE; CARBON EMISSIONS; POPULATION; IMPACT; URBANIZATION; STIRPAT; PM2.5; INCOME;
D O I
10.3390/ijerph16050727
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
City sizes are rapidly expanding, and urban air pollution is a serious challenge in China. PM2.5 (fine particulate matter) is the primary pollutant of urban pollution. This study aimed to examine the correlations between PM2.5 and city size. In this paper, using the panel data of 278 cities in China from 2007 to 2016, we constructed a static and dynamic panel model based on the STIRPAT (Stochastic Impacts by Regression on Population, Affluence and Technology) analytical framework. We found that there was a significantly inverted N-shaped correlation between PM2.5 and city size. Two inflection points were found at 949,200 and 3,736,100. We found no evidence to support the EKC (Environmental Kuznets Curve) hypothesis, while the Pollution Haven Hypothesis gained support. The contradiction between PM2.5 and city size will exist for the long term. Policy recommendations were proposed based on our findings. Controlling the city size does not seem to be necessary for very large cities as they have passed the second inflection point. Cities with a growing population are under great pressure to prevent PM2.5 pollution and need to implement greater measures to reduce pollution.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Impacts of the Urban Environment on Carbon Emissions from Residential Building Operations in Small Cities: An Empirical Study in China
    Song, Shiyi
    Guo, Ran
    Lei, Zhendong
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2025, 34 (03): : 2375 - 2387
  • [2] Nonlinear effects of urbanization routes (proportion of small cities, and proportion of large cities) on environmental degradation, evidence from China, India, Indonesia, the United States, and Brazil
    Ali, Arshad
    Guo, Xiangyu
    Radulescu, Magdalena
    ENERGY & ENVIRONMENT, 2023, 34 (08) : 3391 - 3416
  • [3] Innovation and environmental performance: An empirical study of 31 cities in China
    Li, Y.
    Chiu, Y. H.
    Lu, L. C.
    Liu, H.
    SCIENTIA IRANICA, 2020, 27 (02) : 956 - 969
  • [4] City size and energy conservation: Do large cities in China consume more energy?
    Hu, Wei
    Fan, Yuemin
    ENERGY ECONOMICS, 2020, 92
  • [5] Intelligent and Environmentally Friendly Solutions in Smart Cities' Development-Empirical Evidence from Poland
    Janik, Agnieszka
    Ryszko, Adam
    Szafraniec, Marek
    SMART CITIES, 2023, 6 (02): : 1202 - 1226
  • [6] Are exporters more environmentally friendly? A re-appraisal that uses China's micro-data
    Pei, Jiansuo
    Sturm, Bodo
    Yu, Anqi
    WORLD ECONOMY, 2021, 44 (05) : 1402 - 1427
  • [7] Road construction and air quality: Empirical study of cities in China
    Sun, Chuanwang
    Zhang, Wenyue
    Luo, Yuan
    Li, Jianglong
    Chen, Bin
    JOURNAL OF CLEANER PRODUCTION, 2021, 319
  • [8] Urban public transport and air quality: Empirical study of China cities
    Sun, Chuanwang
    Zhang, Wenyue
    Fang, Xingming
    Gao, Xiang
    Xu, Meilian
    ENERGY POLICY, 2019, 135
  • [9] Effects of environmental regulation on CO2 emissions: An empirical analysis of 282 cities in China
    Wang, Huiping
    Zhang, Runjie
    SUSTAINABLE PRODUCTION AND CONSUMPTION, 2022, 29 : 259 - 272
  • [10] Does environmentally friendly energy consumption spur economic progress: empirical evidence from the Nordic countries?
    Bozkaya, Seyma
    Onifade, Stephen Taiwo
    Duran, Mahmut Sami
    Kaya, Mustafa Goktug
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (54) : 82600 - 82610