Coupling coordination analysis of rural production-living-ecological space in the Beijing-Tianjin-Hebei region

Yang, Yuanyuan; Bao, Wenkai; Liu, Yansui

doi:10.1016/j.ecolind.2020.106512

Cited by 225 publications

(161 citation statements)

References 43 publications

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“…One of the above indicators applies, on the one hand, educational and leisure activities, and on the other hand -healthy population and introducing children to a healthy lifestylethe number of children engaged in sports schools (per 10 thousand people). This indicator also shows significant spatial differentiation -the coefficient of variation reaches a value of 0.9; the Republic of Tyva (6,514), the Chechen Republic (5,653), the Republic of Altai (3,935), Yakutia (3,874), and the Yamal-Nenets Autonomous district (3,868) are in top five for this indicator. The minimum value is observed in Tambov (160), Oryol (158), Tula (151), Khabarovsk (113), and Vladimir (52) regions.…”

Section: Resultsmentioning

confidence: 98%

“…Traditionally, attention of researchers of territorial development is devoted to cities [1][2][3], but the problems of rural territories are increasingly reflected in scientific works, including issues of differentiation of rural territories. Among the problems considered by various authors are inefficient use of rural areas [4], coordination of various functions of agricultural areas [5], and quality of life of citizens, environmental problems [7][8][9], sustainable territorial development [10][11][12], and human capital development [13]. In this study, the problems of territorial disparities in rural development are considered in the context of the subjects of the Russian Federation in order to assess both the degree of inter-territorial differentiation and identify methodological problems, including those related to the use of indicators presented in Russian statistics.…”

Section: Introductionmentioning

confidence: 99%

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Spatial socio-economic heterogeneity of rural areas in the Russian Federation

Turgel

Pobedin²,

Bozhko

2020

E3S Web of Conf.

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Implementation of objectives set out in the Strategy for sustainable development of rural territories of the Russian Federation until 2030 requires solving the problems of spatial differentiation among rural territories in different regions of Russia. The article analyzes the level of differentiation using a set of socio-economic indicators of rural areas. The coefficient of variation was used as an indicator of the degree of spatial differentiation. In the course of analysis, the authors identified significant disparities in territorial development for most of the considered indicators, and particularly acute differences were found in economic parameters, including the volume of investment at the expense of the municipal budget. It is revealed that the degree of differentiation between rural territories is influenced not so much by economic development success as by the level of urbanization in the region. The empirical basis of the analysis is research results conducted within the framework of the research project “Improving the policy of state regulation of accelerated clustering of industrial regions” (AP05133531), carried out under grant funding from the Ministry of education and science of the Republic of Kazakhstan.

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Section: Resultsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Spatial socio-economic heterogeneity of rural areas in the Russian Federation

Turgel

Pobedin²,

Bozhko

2020

E3S Web of Conf.

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“…Coupling is a physical concept and refers to the phenomenon whereby two or more systems interact with each other and even join together through various interactions (Zhou et al, 2015;Yang et al, 2020b). The coupling degree model was as follows:…”

Section: The Coupling Coordination Degree Modelmentioning

confidence: 99%

Coupling Coordination and Spatiotemporal Dynamic Evolution Between Green Urbanization and Green Finance: A Case Study in China

Dong

Zhu

et al. 2021

Front. Environ. Sci.

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This study constructed a comprehensive index system and employed a coupling coordination degree model, global spatial autocorrelation models, and local spatial autocorrelation models to quantitatively investigate the spatiotemporal characteristics and dynamic mechanism of the coupling coordination relationship between green urbanization and green finance in China during 2010–2017. The results showed that the level of green urbanization and green finance improved over the study period, but the development of green finance lagged behind the pace of green urbanization and the comprehensive score was still low. The coupling coordination degree presented a trend of continuous optimization, with coordination in eastern China being clearly higher than in central, western, and northeastern China. Furthermore, there was both spatial dependency and spatial heterogeneity in the coupling coordination degree between green urbanization and green finance. Provinces with a high-high clustering mode were mainly distributed in the eastern region, while provinces in western and northeastern China mainly had a low-low clustering mode in 2010. The high-high clustering mode gradually expanded from eastern to central China, while most provinces in western and northeastern China still exhibited low-low clustering in 2017. This indicates that the coupling coordination degree between green urbanization and green finance had strong spatial agglomeration and spatial spillover effects in central and eastern China, while in western and northeastern China its development was still poor.

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“…Drawing on existing research on the classification of functions in rural area [7,[33][34][35][36][37][38][39], and taking data availability into account, this paper constructs a function measurement system composed of four standard indicators (agricultural production, nonagricultural production, life and leisure, ecosystem services) and several descriptive indicators. Table 1 is an incomplete list for the function evaluation of a town.…”

Section: Construction Of Function Measurement Indicator Systemmentioning

confidence: 99%

Following Rural Functions to Classify Rural Sites: An Application in Jixi, Anhui Province, China

Ren

2021

Land

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Rural areas are a type of self-organized regional living environment, with multi-functional symbiosis between humans and land; their functional attributes are function superposition, function difference, and dominant function. The evolution of rural functions is a gradual process and follows the general law of the development of self-organizing systems, which evolutes from the state of general development, competition without rules, and, finally, to an order controlled by the dominant function. By constructing an indicator system and measurement model of rural function evaluation, this study took 11 towns in a hilly area of Jixi County as regional units to analyze the differentiation characteristics and rules of rural functions; the functions include agricultural production functions, nonagricultural production functions, life and leisure functions, and ecological functions. The results show the following: (1) The index of agricultural production functions, life and leisure functions, and ecological functions in Jixi County is higher, while the index of nonagricultural production functions is lower; (2) all towns have at least one function belongings to the “high state strong potential zone”, and some towns show a weak comprehensiveness; (3) the interaction between different functions should be considered when determining the dominant functions of the towns; (4) the formation mechanism of a dominant function has a high correlation with its main influencing factors; and (5) nine types of characteristic village are determined, according to the coupling of village characteristic resources and town dominant functions.

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Coupling coordination analysis of rural production-living-ecological space in the Beijing-Tianjin-Hebei region

Cited by 225 publications

References 43 publications

Spatial socio-economic heterogeneity of rural areas in the Russian Federation

Spatial socio-economic heterogeneity of rural areas in the Russian Federation

Coupling Coordination and Spatiotemporal Dynamic Evolution Between Green Urbanization and Green Finance: A Case Study in China

Following Rural Functions to Classify Rural Sites: An Application in Jixi, Anhui Province, China

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