Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin

Abstract

The outbreak of COVID-19 has prompted consideration of the importance of urban resilience. Based on a multidimensional perspective, the authors of this paper established a comprehensive evaluation indicator system for evaluating urban resilience in the Yellow River basin (YRB), and various methods such as the entropy value method, Theil index, exploratory spatial data analysis (ESDA) model, and geographical detector model were used to measure the spatiotemporal characteristics and influencing factors of urban resilience in the YRB from 2011 to 2018. The results are as follows. (1) From 2011 to 2018, the urban resilience index (URI) of the YRB showed a “V”-shaped dynamic evolution in the time series, and the URI increased by 13.4% overall. The resilience of each subsystem showed the following hierarchical structure: economic resilience > social resilience > ecological resilience > infrastructure resilience. (2) The URI of the three major regions—upstream, midstream, and downstream—increased, and the resilience of each subsystem in the region showed obvious regional characteristics. The comprehensive difference in URI values within the basin was found to be shrinking, and intraregional differences have contributed most to the comprehensive difference. (3) There were obvious zonal differences in the URI from 2011 to 2018. Shandong Peninsula and Hohhot–Baotou–Ordos showed a “High–High” agglomeration, while the southern and southwestern regions showed a “Low–Low” agglomeration. (4) Among the humanist and social factors, economic, fiscal, market, urbanization, openness, and innovation were found to be the factors that exert a high impact on the URI, while the impacts of natural factors were found to be low. The impact of the interaction of each factor is greater than that of a single factor.

Temporal and Spatial Differentiation in Urban Resilience and Its Influencing Factors in Henan Province

“…As shown in Table 2. [55] 0.132 Total actual utilization of foreign investment (USD 10,000) [59,60] 0.087 Per capita disposable income of urban residents (yuan) [55] 0.034 Ratio of the output values of the secondary and tertiary industries in the GDP (%) [56] 0.013 Social resilience 0.425 Urban registered unemployment rate (%) [59] 0.040 Number of regular colleges and universities per 10,000 people [60] 0.117 Health personnel per 10,000 people (person) [56,61] 0.015 Social security expenditure and employment as a proportion of the government expenditure (%) [ Green coverage rate in built areas (%) [61] 0.005 Green area per capita (m 2 ) [63] 0.056 Comprehensive utilization rate of industrial solid waste (%) [64] 0.017 Wastewater discharge per unit of the industrial output value (ton/ten thousand yuan) [64] 0.006 Discharge of smoke and dust per unit of the industrial output value (ton/ten thousand yuan) [64] 0.008…”

Spatiotemporal evolution and influencing factors of urban shrinkage in the Yellow River Basin, China

“…And the innovation and education levels of a city also become important reasons for people to move in or out. Therefore, with reference to related research [ 47 – 50 ], combined with the actual conditions of the Yellow River Basin, and according to the principles of integrity, systematization, and data availability, a panel regression model is constructed explore the influencing factors of shrinking cities in the Yellow River Basin from 2010 to 2018 and to provide a reference for the future development of cities, taking natural population growth rate ( X 1 ), green coverage area of built-up areas ( X 2 ), local public fiscal revenue ( X 3 ), proportion of science and technology expenditure in fiscal expenditure ( X 4 ), proportion of education expenditure in fiscal expenditure ( X 5 ), road area ( X 6 ), number of certified (assistant) physicians ( X 7 ), and fixed asset investment in the construction of municipal public facilities ( X 8 ) as independent variables from the perspectives of population change, environmental quality, and financial status ( Table 2 ), and urban population size ( Y 1 ) and per capita GDP of the municipal districts ( Y 2 ) as dependent variables.…”

The Coordinated Development and Regulation Research on Public Health, Ecological Environment and Economic Development: Evidence from the Yellow River Basin of China

“…First of all, we need an index system to evaluate the coordinated development index of public health, the ecological environment, and economic development in the Yellow River Basin. The existing research focuses, mainly, on the provincial and municipal levels [ 46 , 47 ]. Given the difficulty in prefecture data acquisition and the multiple research indicators in this paper, we research the Yellow River Basin, at the provincial level, based on the “Outline of Ecological Protection and High-quality Development Planning in the Yellow River Basin”.…”