Coupling Coordinated Analysis of Digital Village Construction, Economic Growth and Environmental Protection in Rural China

被引:3
作者
Xie, Yuanqi [1 ,2 ]
Liu, Hui [1 ]
机构
[1] Hunan Agr Univ, Econ Coll, Changsha, Peoples R China
[2] Hunan Univ Finance & Econ, Accounting Coll, Changsha, Peoples R China
来源
POLISH JOURNAL OF ENVIRONMENTAL STUDIES | 2024年 / 33卷 / 05期
关键词
DEES; coupling coordination degree; kernel density estimation; spatial autocorrelation; obstacle factors; SPATIAL DATA-ANALYSIS; CARBON EMISSION; URBANIZATION; INVESTMENT; SYSTEM; INFRASTRUCTURE; INDICATORS; POLLUTION; ENERGY; GAP;
D O I
10.15244/pjoes/183560
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Coordinating the development of the economy and environment has always been a tough challenge. The digital village construction in China offers unprecedented historical opportunities for rural areas to propel coordinated development and catch up with their urban counterparts. This paper used a coupling coordination degree model, exploratory spatial data analysis, and an obstacle degree model to investigate the coupling coordination of digital village construction, economic growth, and the environmental protection system (DEES) in rural China from 2015 to 2021. The results indicate: (1) The coupling coordination degree of DEES increases annually, yet a significant spatial imbalance among regions persists. (2) There is a positive spatial correlation in the coupling coordination of DEES, with the clustering trend gradually strengthening and subsequently weakening. (3) The most consistent obstacles are economic growth and per capita income, while obstacle factors vary among provinces. The results suggest that governments should increase investment in rural digital infrastructure, promote the synergistic efforts of the digital economy and green development, and drive the digitization of rural areas. Meanwhile, each province should use its own resources effectively, to make up for any shortcomings, thereby promoting coupling coordinated development in rural areas.
引用
收藏
页码:5925 / 5941
页数:17
相关论文
共 73 条
[61]   An environment safety monitoring system for agricultural production based on artificial intelligence, cloud computing and big data networks [J].
Wei, Yunxiao ;
Han, Chao ;
Yu, Zuolong .
JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2023, 12 (01)
[62]  
Whyte MartinKing., 2010, ONE COUNTRY 2 SOC RU
[63]   Providing quality infrastructure in rural villages: The case of rural roads in China [J].
Wong, Ho Lun ;
Luo, Renfu ;
Zhang, Linxiu ;
Rozelle, Scott .
JOURNAL OF DEVELOPMENT ECONOMICS, 2013, 103 :262-274
[64]   How does internet development affect energy-saving and emission reduction? Evidence from China [J].
Wu, Haitao ;
Xue, Yan ;
Hao, Yu ;
Ren, Siyu .
ENERGY ECONOMICS, 2021, 103
[65]   Urban-rural gap and poverty traps in China: A prefecture level analysis [J].
Wu, Jian-Xin ;
He, Ling-Yun .
APPLIED ECONOMICS, 2018, 50 (30) :3300-3314
[66]   Linking ICTs to rural development: China's rural information policy [J].
Xia, Jun .
GOVERNMENT INFORMATION QUARTERLY, 2010, 27 (02) :187-195
[67]   Dynamic simulation and assessment of the coupling coordination degree of the economy-resource-environment system: Case of Wuhan City in China [J].
Xing, Lu ;
Xue, Minggao ;
Hu, Mingsheng .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2019, 230 :474-487
[68]   Coupling coordination evaluation and sustainable development pattern of geo-ecological environment and urbanization in Chongqing municipality, China [J].
Yang, Chun ;
Zeng, Wei ;
Yang, Xin .
SUSTAINABLE CITIES AND SOCIETY, 2020, 61
[69]   Renewable energy, carbon emission and economic growth: A revised environmental Kuznets Curve perspective [J].
Yao, Shujie ;
Zhang, Shuai ;
Zhang, Xingmin .
JOURNAL OF CLEANER PRODUCTION, 2019, 235 :1338-1352
[70]  
Yu Yongding, 2000, Asian Economic Bulletin, V17, P163