The County-Scale Economic Spatial Pattern and Influencing Factors of Seven Urban Agglomerations in the Yellow River Basin—A Study Based on the Integrated Nighttime Light Data

Jingtao Wang, Haibin Liu, Di Peng, Qian Lv, Yu Sun, Hui Huang and Hao Liu
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Jingtao Wang: School of Management, China University of Mining and Technology, Beijing 100083, China
Haibin Liu: School of Management, China University of Mining and Technology, Beijing 100083, China
Di Peng: School of Management, China University of Mining and Technology, Beijing 100083, China
Qian Lv: School of Information Management, Beijing Information Science and Technology University, Beijing 100192, China
Yu Sun: School of Management, China University of Mining and Technology, Beijing 100083, China
Hui Huang: School of Management, China University of Mining and Technology, Beijing 100083, China
Hao Liu: School of Management, China University of Mining and Technology, Beijing 100083, China

Sustainability, 2021, vol. 13, issue 8, 1-22

Abstract: The integrated night light (NTL) datasets were used to represent the economic development level, and visual analysis was carried out on the evolution characteristics of the economic spatial pattern of various urban agglomerations in the Yellow River Basin (YRB), at a county-scale, in 1992, 2005, and 2018. The Global Moran’s I and the local Getis-Ord G methods were used to explore the overall spatial correlation and local cold–hot spot of economic development levels, respectively. The spatial heterogeneity of the influence of relevant factors on the economic development level at the municipal scale was analyzed by using the multi-scale geographically weighted regression (MGWR) model. The results show that the county-level economic spatial pattern of urban agglomeration in the YRB has an obvious “pyramid” characteristic. The hot spots are concentrated in the hinterland of the Guanzhong Plain, the Central Plains, and the Shandong Peninsula urban agglomeration. The cold spots are concentrated in the junction of urban agglomerations, and the characteristics of “cold in the west and hot in the east” are obvious. Labor input and import and exporthave a positive impact on the economic development level for each urban agglomeration, government force has a negative impact, and education shows both positive and negative polarization on economic development.

Keywords: Yellow River Basin; urban agglomerations; economic development level; integrated night light datasets; multi-scale geographical weighted regression (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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