Spatial Econometric Analysis of Urban and County-level Economic Growth Convergence in China

Fang, Chuanglin

doi:10.1177/0160017616653446

Cited by 26 publications

(35 citation statements)

References 96 publications

(121 reference statements)

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“…The convergence refers to the health difference between the backward regions and the developed regions that will gradually narrow and eventually reach the same level. β convergence currently has been extensively applied in studies on convergence, as it can disclose the convergence mechanism [23,24].…”

Section: Convergence Methodsmentioning

confidence: 99%

Distribution Dynamics, Regional Differences, and Convergence of Elderly Health Levels in China

Cui

Chang

2020

Sustainability

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Despite efforts to improve national health levels, inequalities in health have endured in China. Most prior studies have been conducted from the perspective of influencing factors with respect to regional differences or focus on comparative analyses of health development levels. This paper reviews regional characteristics to examine dynamic changes in health levels within regions, measures and distinguishes inter-regional differences, and explores the evolution of these differences. Results show that elderly health levels in the overall system are polarized to varying degrees, but within regions, agglomeration continues. There were decreasing fluctuations in overall differences during the sample period: Regional differences influenced fluctuations the most, and inner-regional differences the least. In the short term, inequalities in health will continue to exist, but the gap has been closing in the long-term in China. The health development of neighborhoods has a significant driving effect in narrowing the differences in the eastern and northeast regions, while economic and health security levels in the central and western regions should be strengthened. These findings can help decision-makers to create appropriate health policies that are more targeted to actual needs, and provide policy implications for promoting the development of better life quality in China by considering regional differences.Sustainability 2020, 12, 2288 2 of 15 of social inequality, increased health inequality damages overall social welfare. In particular, with China's increasingly severe problem of aging, how to provide fair and equal health care services for the disadvantaged elderly is of great significance to the "Healthy China Strategy 2030". Researchers have found that regional health differences still exist. Most of the prior literature has focused on health-influencing factors or on descriptive analyses, while systematic and in-depth studies on dynamic changes in health levels and evolutionary trends in regional differences are lacking. In this paper, we focus on regional health characteristics to investigate the dynamic changes in regional health levels and the evolution trends of regional health differences. The study not only provides a clear outline for decision makers to learn the characteristics associated with regional health in China, but can also aid in the evaluation of existing policies and health services to provide a practical reference for balancing elderly health levels (EHLs) between cities and regions. Studies on regional health inequality began in 1970s. In 1977, the British government formed the "Health Inequality" research group, and in 1980, this group submitted a report to the British Parliament to document health inequalities in society. This report generated widespread concern over health inequality, and thereafter, many subsequent studies have addressed the relationship between health differences and social economy. Mackenbach [1] and Doorslaer [2-4] measured the health levels and mortality rates among diff...

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Section: Convergence Methodsmentioning

confidence: 99%

Distribution Dynamics, Regional Differences, and Convergence of Elderly Health Levels in China

Cui

Chang

2020

Sustainability

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“…At present, many empirical studies have investigated the impact of agricultural labor transfer on rural economic development, including the potential and trends (Li et al, 2017a), impacts on rural development and their relationships (Long et al, 2016), and from macroscopic and meso perspectives (Mcarthur and Mccord, 2017;Long et al, 2016;Li et al, 2017b). However, relatively few studies have focused on the coupling relationship between agricultural labor transfer and agricultural economy (Li and Fang, 2018), and analyses focusing on both theoretical and empirical levels are relatively scarce. At present, most current research areas are based on provinces and cities, and there is limited research at the county level although the importance of the county economy in China's economic development is becoming increasingly prominent (Yu et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Agricultural labor changes and agricultural economic development in China and their implications for rural vitalization

Long

Zhang

et al. 2019

J. Geogr. Sci.

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Based on panel data from 1991, 2000 and 2010 at the county level in China, this study analyzed the coupling characteristics and spatio-temporal patterns of agricultural labor changes and economic development under rapid urbanization using quantitative and GIS spatial analysis methods. Three primary conclusions were obtained. (1) During 1991-2010, China's agricultural labor at the county level showed a decreasing trend, down 4.91% from 1991 to 2000 and 15.50% from 2000 to 2010. In spatial distribution, agricultural labor force has evolved by decreasing eastward and increasing westward. (2) During 1991-2010, China's agricultural economy at the county level showed a sustained growth trend, with a total increase of 140.13%, but with clear regional differences. The proportion of agricultural output in national GDP gradually decreased, characterized by decreases in eastern China and increases in western China. (3) The coupling types of economic-labor elasticity coefficient are mainly growth in northwest China, for both the agricultural economy and labor, and are intensive in southeast China, with growth of the agricultural economy and reduction of agricultural labor. Regions with lagged, fading, and declining coupling types are generally coincident with the high incidence of poverty in China. However, different coupling types had a positive developing trend for 1991-2010. Finally, based on the coupling types and spatial distribution characteristics of economic-labor elasticity coefficients, some policy suggestions are proposed to promote the integration of the primary, secondary, and tertiary industries and the vitalization of rural economies. Keywords: agricultural labor change; agricultural economic development; economic-labor elasticity coefficient; spatio-temporal coupling; rural vitalization 2 The mechanisms driving agricultural labor changes and economic development This study establishes a theoretical framework to characterize the mechanisms driving agricultural labor changes and economic development. We use this framework to explore the

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“…Another critical aspect of the economy is the emerging "third nature," which includes human capital, R&D activity, level of informatization, and financialization. In this study, the number of students per capita (HR) in ordinary middle schools was used to quantify the level of county human capital (Li & Fang, 2016). The number of telephone users per capita (INF) at the end of the year was used to measure the level of county informatization development.…”

Section: Variable Measurementmentioning

confidence: 99%

“…It is worthwhile to mention here that the provincial and city-level convergence may hinder the inequality of intra-provincial economic development and mask the nonequilibrium characteristics of intercounty economic differences. Hence, studies based on continuous county-level data across the whole country are emerging (He, Bayrak, et al, 2017;He, Fang, et al, 2017;He, Liao, & Li, 2019;Li & Fang, 2016), which contributes to probing the patterns and trends of county-level economic inequality.…”

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confidence: 99%

The space‐time evolution and driving forces of county economic growth in China from 1998 to 2015

Wang

2020

Growth and Change

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Coordinated growth in regional economies is fundamental for sustainable economic development. In this study, the space‐time dynamics of GDP per capita for 2,303 counties in China from 1998 to 2015 were analyzed based on an exploratory space‐time data analysis (ESTDA) framework. The results showed that: (a) there was significant and increasing positive spatiotemporal correlation among county‐level economic growth; (b) local spatiotemporal correlation pattern demonstrated a high–high cluster at the eastern coast, and low–low dispersion in the vast central and western regions; (c) changes in LISA time trajectory revealed that economic growth in the coastal urban agglomeration and Inner Mongolia was more dynamic, indicating the emergence of a local spatial structure locking feature and trajectory dependence; and (d) industrialization and informatization were the two primary contributors to county economic growth. Our study suggests that Chinese government should construct network channels linking the central region with eastern China, cultivate economic growth poles and growth axis, and focus on technological innovation to unlock path dependence in county economic growth.

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Spatial Econometric Analysis of Urban and County-level Economic Growth Convergence in China

Cited by 26 publications

References 96 publications

Distribution Dynamics, Regional Differences, and Convergence of Elderly Health Levels in China

Distribution Dynamics, Regional Differences, and Convergence of Elderly Health Levels in China

Agricultural labor changes and agricultural economic development in China and their implications for rural vitalization

The space‐time evolution and driving forces of county economic growth in China from 1998 to 2015

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