The impact of urban sprawl on green total factor productivity: A spatial econometric analysis in China

被引:4
作者
Liu, Shucheng [1 ]
Wu, Peijin [2 ]
机构
[1] Zhejiang Gongshang Univ, Sch Stat & Math, Hangzhou, Peoples R China
[2] East China Normal Univ, Sch Geog Sci, Shanghai, Peoples R China
关键词
urban sprawl; green total factor productivity; nighttime lighting data; landscan population statistics; spatial durbin model; NIGHTTIME LIGHT; ENVIRONMENTAL-REGULATION; GROWTH; DYNAMICS; CITIES; EFFICIENCY;
D O I
10.3389/fenvs.2023.1095349
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The rapid expansion of Chinese cities has led to serious urban productivity and eco-environment changes, and has therefore attracted considerable international academic attention. The main objective of this study is to investigate the theoretical mechanisms and practical effects of urban sprawl on green total factor productivity (GTFP), in order to provide a reference for optimizing the spatial layout of cities and promoting high-quality economic development. Realistic urban land area and population characteristics are extracted using DMSP/OLS and NPP/VIIRS nighttime lighting data, and LandScan global population dynamics statistics to measure the urban sprawl index. GTFP is measured using a super-SBM model that considers undesirable output. Based on the panel data of Chinese cities from 2006 to 2020, a spatial Durbin model was constructed to carry out the empirical analysis. The results show that, overall, urban sprawl in China is detrimental to its own GTFP, while contributing to the GTFP of neighboring cities. The impacts of urban sprawl vary markedly across cities of different sizes and across regions.
引用
收藏
页数:12
相关论文
共 67 条
[31]   Coupling Coordination Relationship between Urban Sprawl and Urbanization Quality in the West Taiwan Strait Urban Agglomeration, China: Observation and Analysis from DMSP/OLS Nighttime Light Imagery and Panel Data [J].
Lu, Chunyan ;
Li, Lin ;
Lei, Yifan ;
Ren, Chunying ;
Su, Ying ;
Huang, Yufei ;
Chen, Yu ;
Lei, Shaohua ;
Fu, Weiwei .
REMOTE SENSING, 2020, 12 (19) :1-26
[32]   On the internal structure of cities [J].
Lucas, RE ;
Rossi-Hansberg, E .
ECONOMETRICA, 2002, 70 (04) :1445-1476
[33]   A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency [J].
Mardani, Abbas ;
Zavadskas, Edmundas Kazimieras ;
Streimikiene, Dalia ;
Jusoh, Ahmad ;
Khoshnoudi, Masoumeh .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 70 :1298-1322
[34]  
Melo P.C., 2017, URBAN STUD, V54, P179, DOI [10.1177/0042098015624850, DOI 10.1177/0042098015624850]
[35]  
MORAN PAP, 1948, J ROY STAT SOC B, V10, P243
[36]   Self-Reinforcing Processes Governing Urban Sprawl in Belgium: Evidence over Six Decades [J].
Mustafa, Ahmed ;
Teller, Jacques .
SUSTAINABILITY, 2020, 12 (10)
[37]   The Direct and Indirect (Spillover) Effects of Productive Government Spending on State Economic Growth [J].
Ojede, Andrew ;
Atems, Bebonchu ;
Yamarik, Steven .
GROWTH AND CHANGE, 2018, 49 (01) :122-141
[38]   Do New Economic Geography agglomeration shadows underlie current population dynamics across the urban hierarchy? [J].
Partridge, Mark D. ;
Rickman, Dan S. ;
Ali, Kamar ;
Olfert, M. Rose .
PAPERS IN REGIONAL SCIENCE, 2009, 88 (02) :445-466
[39]   Which Polish Cities Sprawl the Most [J].
Renata, Rozycka-Czas ;
Barbara, Czesak ;
Andrzej, Staszel .
LAND, 2021, 10 (12)
[40]   Compact, dispersed, fragmented, extensive? A comparison of urban growth in twenty-five global cities using remotely sensed data, pattern metrics and census information [J].
Schneider, Annemarie ;
Woodcock, Curtis E. .
URBAN STUDIES, 2008, 45 (03) :659-692