Comprehensive methods for measuring regional multidimensional development and their applications in China

Xu, Yong; Jian-nan, Duan; Xiao-ren, XU

doi:10.1007/s11442-018-1549-y

Cited by 14 publications

(11 citation statements)

References 15 publications

(13 reference statements)

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“…Based on the Regional Multi-Dimensional Development Index (RMDI) [ 53 , 54 ], the comprehensive resilience index of the cities in the four southern regions was measured by the polygon method of RMDI. The polygon method is divided into two methods: sequentially aligned polygons and fully aligned polygons.…”

Section: Methodsmentioning

confidence: 99%

Analysis of the Spatial and Temporal Evolution of Urban Resilience in Four Southern Regions of Xinjiang

Liu

et al. 2023

IJERPH

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Resilience theory plays a pivotal role in promoting sustainable urban development and the long-term stable development of the national economy. Based on the “scale-density-form” model of urban resilience, this paper shifts the perspective of urban resilience from the eastern region with higher level of economic development and better infrastructure construction to the arid northwest region with more fragile ecological environment and weaker urban development potential, which enriches the connotation and mechanism of urban resilience to a certain extent. Using ArcGIS platforms, statistical data and remote sensing data as data sources, this paper analyzes the urban resilience of four southern Xinjiang regions (Aksu Administrative Office, Kashgar Administrative Office, Kizilsu Kirgiz Autonomous Prefecture and Hotan Administrative Office) in time and space from 2000 to 2020 using a three-dimensional resilience analysis framework based on scale, density and morphology. The results show that the urban de-development of the study area faces a strong scale safety constraint due to the small available land area in the study area, which leads to its small urban construction land area. The county- and city-scale elasticity levels of Aksu Administrative Office and Kashgar Administrative Office are higher than the average level of the study area, while most of the counties and cities in Kizilsu Kirgiz Autonomous Prefecture and Hotan Administrative Office are lower than the average level of the study area, with large differences between counties and cities. The geographical location of the study area determines the backwardness of the region in terms of ideology, production methods and technology, which seriously restricts the development of local society and economy. In terms of density resilience, there are large differences among counties and cities in the study area, and the density resilience of Aksu, Kashgar and Kucha is much higher than that of other counties and cities. In terms of morphological resilience, with the increasing prominence of ecological status, the urban landscape layout of the study area has changed significantly, leading to changes in the distance between its blue-green landscape and gray-white landscape, which in turn causes changes in morphological resilience. Based on the above findings, initiatives and paths for resilience regulation in the study area are proposed in terms of scale, density and morphology. The study also has a reference value for local urban safety development.

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Section: Methodsmentioning

confidence: 99%

Analysis of the Spatial and Temporal Evolution of Urban Resilience in Four Southern Regions of Xinjiang

Liu

et al. 2023

IJERPH

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“…As an objective method, the EWM determines the weight size based on the index’s inherent properties and degree of variation, which can reduce the influence of subjectivity. Meanwhile, the polyhedron method, polygon method, vector sum method, and weight sum method are all equivalent to measure multidimensional poverty [ 37 , 38 ], so we chose the most widely used weight sum method to calculate MPI [ 39 , 40 , 41 ], calculated as follows:

…”

Section: Methodsmentioning

confidence: 99%

Does Eco-Compensation Alleviate Rural Poverty? New Evidence from National Key Ecological Function Areas in China

Qin

et al. 2022

IJERPH

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The Transfer Payment Policy of National Key Ecological Functional Areas (TPEFAP), a well-known ecological compensation (eco-compensation) scheme in China, has been proposed by the government to alleviate ecological poverty and protect the environment. In literature, the effectiveness of the TPEFAP on environmental conservation has been widely examined, while few pay attention to the effect of the TPEFAP on poverty alleviation, especially with the consideration of its spatial spillovers as well. In this paper, we utilize panel data covering the key ecological functional areas of China during the period 2011–2018 to evaluate the impact of the TPEFAP on poverty alleviation and also its spatial spillovers by employing the synthetic control method (SCM) and the dynamic spatial Durbin model, respectively. Specifically, we apply the entropy weight method (EWM) to calculate the multidimensional poverty index (MPI) and measure pro-poor effect in terms of MPI change. The results show that: (1) TPEFAP has stable positive effects on MPI in Hubei, Yunnan, Jilin, Gansu, and Ningxia, while the impact on Qinghai fluctuates. (2) MPI presents a significant spatial correlation. Furthermore, both the direct and indirect effects of TPEFAP on MPI are significant and stable positive, for both short- or long-term. (3) For potential channels, rural non-farm employment, rural labor mobility, and agricultural productivity are the key pathways through which the TPEFAP can alleviate poverty both in local and adjacent provinces. However, it is difficult to find significant positive spatial spillovers for the TPEFAP if only the natural resources scale is considered. This study indicates that the government should pay attention to the policy expectations of ecological poverty alleviation and, in future eco-compensation, must further increase the coverage of subsidies and diversify the forms of subsidies.

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“…The existing literature on influencing factors can be divided into single-factor (Wei and Yang, 2012;He, 2014;Wei and Yu, 2018) and total-factor research (Hou et al, 2012;Xu et al, 2018). This paper argues that single-factor research is not adequate to guide the formulation of urban economy macro-control policies.…”

Section: Index Selection and Optimizationmentioning

confidence: 99%

The drivers and spatial distribution of economic efficiency in China’s cities

Cao

Kong

et al. 2022

J. Geogr. Sci.

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This study analyzes cities in China at the prefecture level and above to calculate indices for "urban economic efficiency" (the relationship between input factors and output) and "urbanization economic efficiency" (the relationship between newly increased output and increased economic input), based on the Stochastic Frontier Analysis (SFA) method. We compare and analyze the factors influencing change and their spatial distributions. The results show that capital and labor rather than urban land could effectively improve urban and urbanization economic efficiency. And, although the proportion of wages to GDP has a significant negative impact on urban economic efficiency, for social equity and stability, the proportion should be increased; if appropriate, it would not significantly reduce urbanization economic efficiency. Additionally, population density, population urbanization rate, and government fiscal expenditure significantly positively impact urban and urbanization economic efficiency. However, we also found that increases in the degree of industrial structure deviation and urban landscape fragmentation are harmful to urbanization economic efficiency. In terms of spatial distribution, the urbanization economic efficiency of most of China's northeastern and eastern coastal areas is significantly lower than that of other regions; at the same time, the urban economic efficiency of most of these cities has been decreasing, especially in the northeast, which warrants greater policy attention.

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Comprehensive methods for measuring regional multidimensional development and their applications in China

Cited by 14 publications

References 15 publications

Analysis of the Spatial and Temporal Evolution of Urban Resilience in Four Southern Regions of Xinjiang

Analysis of the Spatial and Temporal Evolution of Urban Resilience in Four Southern Regions of Xinjiang

Does Eco-Compensation Alleviate Rural Poverty? New Evidence from National Key Ecological Function Areas in China

The drivers and spatial distribution of economic efficiency in China’s cities

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