Promoting the coupling coordination development of port and its hinterland city environments is an important way to improve urban economic competitiveness.Based on relevant data of 13 coastal port cities in eastern Ch...Promoting the coupling coordination development of port and its hinterland city environments is an important way to improve urban economic competitiveness.Based on relevant data of 13 coastal port cities in eastern China from 2000 to 2018,this study explores the coupling coordination development of port and city environments and its impact on urban economic competitiveness by constructing the coupling coordination degree model and the panel threshold model.The research results show that:(1)In terms of the coupling coordination development of port and city environments,most coastal ports and their hinterland cities are in a state of moderate or serious disorder.Overall,the degree of coupling coordination of port and city environments needs to be further improved;(2)The coupling coordination degree of port and city environments has a significant impact on urban economic competitiveness,and this effect gradually increases with the development of the ports and the urban economy.Among the variables that impact the urban economic competitiveness,fixed assets investment and foreign trade are significant factors that can enhance urban economic competitiveness.(3)At present,there is a“U-shaped”relationship between the coupling coordination degree of port-city environments and the urban economic competitiveness.This relationship lies on the right side of the inflection point of the“U-shaped”curve.Therefore,following the concept of assigning priority to ecological development,expanding fixed assets investment and actively developing foreign trade can further enhance the urban economic competitiveness.展开更多
The per capita disposable income of urban households and the per capita net income of rural households in Yunnan Province are selected as the variable indices.Data are from the Yunnan Statistical Yearbook and the Yunn...The per capita disposable income of urban households and the per capita net income of rural households in Yunnan Province are selected as the variable indices.Data are from the Yunnan Statistical Yearbook and the Yunnan Statistical Yearbook.Theil index and RHL value are used to carry out quantitative research on the occurrence,development and change of urban and rural economic disparity in Yunnan Province,China.Regression analysis on the evolvement trend of urban and rural economic disparity and spatial analysis on the convergence and divergence of urban and rural disparity caused by economic growth in Yunnan Province are carried out.Result shows that cities in Yunnan Province show a downward convergence;while rural areas show a downward divergence in the years 1978-2007,causing the economic disparity between urban and rural areas.Therefore,urban and rural disparity increases in Yunnan Province and the development of rural areas lags far behind the development of urban areas.Urban and rural economic disparity in Yunnan Province shows an inverted "U" shape of Kuznets Curve.In order to promote the coordinated development of urban and rural economy,suggestions are put forward,such as adopting the unbalanced development strategy,accelerating the overall economic development,promoting the development of small and medium-sized cities,enhancing the integration of urban and rural economics,appropriately supporting rural areas under poverty,and fully exerting the comparative advantage.展开更多
This paper studies the effect of high-speed rail(HSR)on urban economic growth using a panel data comprising 285 Chinese cities in 2007-2017.Combining the endogenous growth model with a difference-in-difference analysi...This paper studies the effect of high-speed rail(HSR)on urban economic growth using a panel data comprising 285 Chinese cities in 2007-2017.Combining the endogenous growth model with a difference-in-difference analysis,we extend the horse-mass theory to explain how China may use HSR to avoid the so-called middle-income trap.The paper also examines the efficient boundaries of HSR and simultaneously studies HSR timespace compression as well as the city neighboring ejfects on economic growth.It is found that HSRs efficient boundaries are within the range of 200-1,200 km for provincial capitals and 50-300 km for prefecture-level cities.HSR stimulates economic growth by approximately 0.6 percent,and the neighboring effect accounts for one-quarter of economic growth.Three policy implications are drawn:(i)China needs tofurther reduce the travel times between the inland provincial cities and Beijing,Shanghai or Guangzhou;(ii)China should build a denser HSR network to maximize its economic impact on the vast majority of cities;(Hi)China needs to develop some powerful economic growth centers in the inland areas to lead the development of their neighboring cities.展开更多
The countries throughout the Belt and Road region account for more than 60%of the world’s population and half of the global economy.Future changes in this area will have significant influences on the global economic ...The countries throughout the Belt and Road region account for more than 60%of the world’s population and half of the global economy.Future changes in this area will have significant influences on the global economic growth,industrial structure and resource allocation.In this study,the proportion of the urban population to the total population and the gross domestic product were used to represent the levels of urbanization and economic development,respectively.The population,urbanization and economic levels of the Belt and Road countries for 2020-2050 were projected under the framework of the IPCC's shared socioeconomic pathways(SSPs),and the following conclusions are drawn.(1)The population,urbanization and economic levels in the Belt and Road region will likely increase under all five pathways.The population will increase by 2%-8%/10a during 2020-2050 and reach 5.0-6.0 billion in 2050.Meanwhile,the urbanization rate will increase by 1.4%-7.5%/10a and reach 49%-75%.The GDP will increase by 17%-34%/10a and reach 134-243 trillion USD.(2)Large differences will appear under different scenarios.The SSP1 and SSP5 pathways demonstrate relatively high urbanization and economic levels,but the population size is comparatively smaller;SSP3 shows the opposite trend.Meanwhile,the economy develops slowly under SSP4,but it has a relatively high urbanization level,while SSP2 exhibits an intermediate trend.(3)In 2050,the population will increase relative to 2016 in most countries,and population size in the fastest growing country in Central Asia and the Middle East countries will be more than double.Urbanization will develop rapidly in South Asia,West Asia and Central Asia,and will increase by more than 150%in the fastest growing countries.The economy will grow fastest in South Asia,Southeast Asia and West Asia,and increase by more than 10 times in some counties with rapid economic development.展开更多
Given the differences between cities in the United States and China,and the changing structure of Chinese cities,this paper examines the viability of some basic predictions of the Muth-Mills model of urban spatial str...Given the differences between cities in the United States and China,and the changing structure of Chinese cities,this paper examines the viability of some basic predictions of the Muth-Mills model of urban spatial structure for modern cities in China,using data for the year 2010. Chinese cities are experiencing rapid motorization and road construction over the last two decades,so we have tried to use different measurements for commuting cost in these cities to estimate the empirical model,and concluded that most results support the Muth-Mills assertion. The elasticities of the urban spatial size with respect to the signifi cant variables are discussed,comparing to those for cities in the United States. The results we obtain from both theoretical and empirical analyses can further increase our understanding on the model as a tool for a policy analysis on cities in China.展开更多
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...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.展开更多
基金This research is supported by Hunan Provincial Natural Science Foundation of China(Grant No.2021JJ30304)the General Topics of Hunan Social Science Achievement Evaluation Committee of China(Grant No.XSP22YBC366)the Key Scientific Research Project of Hunan Provincial Department of Education of China(Grant No.21B0592).
文摘Promoting the coupling coordination development of port and its hinterland city environments is an important way to improve urban economic competitiveness.Based on relevant data of 13 coastal port cities in eastern China from 2000 to 2018,this study explores the coupling coordination development of port and city environments and its impact on urban economic competitiveness by constructing the coupling coordination degree model and the panel threshold model.The research results show that:(1)In terms of the coupling coordination development of port and city environments,most coastal ports and their hinterland cities are in a state of moderate or serious disorder.Overall,the degree of coupling coordination of port and city environments needs to be further improved;(2)The coupling coordination degree of port and city environments has a significant impact on urban economic competitiveness,and this effect gradually increases with the development of the ports and the urban economy.Among the variables that impact the urban economic competitiveness,fixed assets investment and foreign trade are significant factors that can enhance urban economic competitiveness.(3)At present,there is a“U-shaped”relationship between the coupling coordination degree of port-city environments and the urban economic competitiveness.This relationship lies on the right side of the inflection point of the“U-shaped”curve.Therefore,following the concept of assigning priority to ecological development,expanding fixed assets investment and actively developing foreign trade can further enhance the urban economic competitiveness.
基金Supported by the Research Foundation of Yunnan Provincial Department of Education(09Y0397)the School-Level Research Project of Qujing Normal University(2009QN014)
文摘The per capita disposable income of urban households and the per capita net income of rural households in Yunnan Province are selected as the variable indices.Data are from the Yunnan Statistical Yearbook and the Yunnan Statistical Yearbook.Theil index and RHL value are used to carry out quantitative research on the occurrence,development and change of urban and rural economic disparity in Yunnan Province,China.Regression analysis on the evolvement trend of urban and rural economic disparity and spatial analysis on the convergence and divergence of urban and rural disparity caused by economic growth in Yunnan Province are carried out.Result shows that cities in Yunnan Province show a downward convergence;while rural areas show a downward divergence in the years 1978-2007,causing the economic disparity between urban and rural areas.Therefore,urban and rural disparity increases in Yunnan Province and the development of rural areas lags far behind the development of urban areas.Urban and rural economic disparity in Yunnan Province shows an inverted "U" shape of Kuznets Curve.In order to promote the coordinated development of urban and rural economy,suggestions are put forward,such as adopting the unbalanced development strategy,accelerating the overall economic development,promoting the development of small and medium-sized cities,enhancing the integration of urban and rural economics,appropriately supporting rural areas under poverty,and fully exerting the comparative advantage.
基金This research was fnancially supported by the National Social Science Foundation of China(No.18ZDA005)the National Natural Science Foundation of China(Nos.71673033 and 71573077).
文摘This paper studies the effect of high-speed rail(HSR)on urban economic growth using a panel data comprising 285 Chinese cities in 2007-2017.Combining the endogenous growth model with a difference-in-difference analysis,we extend the horse-mass theory to explain how China may use HSR to avoid the so-called middle-income trap.The paper also examines the efficient boundaries of HSR and simultaneously studies HSR timespace compression as well as the city neighboring ejfects on economic growth.It is found that HSRs efficient boundaries are within the range of 200-1,200 km for provincial capitals and 50-300 km for prefecture-level cities.HSR stimulates economic growth by approximately 0.6 percent,and the neighboring effect accounts for one-quarter of economic growth.Three policy implications are drawn:(i)China needs tofurther reduce the travel times between the inland provincial cities and Beijing,Shanghai or Guangzhou;(ii)China should build a denser HSR network to maximize its economic impact on the vast majority of cities;(Hi)China needs to develop some powerful economic growth centers in the inland areas to lead the development of their neighboring cities.
文摘The countries throughout the Belt and Road region account for more than 60%of the world’s population and half of the global economy.Future changes in this area will have significant influences on the global economic growth,industrial structure and resource allocation.In this study,the proportion of the urban population to the total population and the gross domestic product were used to represent the levels of urbanization and economic development,respectively.The population,urbanization and economic levels of the Belt and Road countries for 2020-2050 were projected under the framework of the IPCC's shared socioeconomic pathways(SSPs),and the following conclusions are drawn.(1)The population,urbanization and economic levels in the Belt and Road region will likely increase under all five pathways.The population will increase by 2%-8%/10a during 2020-2050 and reach 5.0-6.0 billion in 2050.Meanwhile,the urbanization rate will increase by 1.4%-7.5%/10a and reach 49%-75%.The GDP will increase by 17%-34%/10a and reach 134-243 trillion USD.(2)Large differences will appear under different scenarios.The SSP1 and SSP5 pathways demonstrate relatively high urbanization and economic levels,but the population size is comparatively smaller;SSP3 shows the opposite trend.Meanwhile,the economy develops slowly under SSP4,but it has a relatively high urbanization level,while SSP2 exhibits an intermediate trend.(3)In 2050,the population will increase relative to 2016 in most countries,and population size in the fastest growing country in Central Asia and the Middle East countries will be more than double.Urbanization will develop rapidly in South Asia,West Asia and Central Asia,and will increase by more than 150%in the fastest growing countries.The economy will grow fastest in South Asia,Southeast Asia and West Asia,and increase by more than 10 times in some counties with rapid economic development.
基金partly supported by the National Natural Science Foundation of China(Grant 51008002)the Natural Science Foundation of Guangdong Province(S2012040007176)+2 种基金the Research Fund for the State Key Laboratory of Subtropical Building Science(Grant 2011KB20)the Research Fund for the Harbin Institute of Technology(Grants HIT.NSRIF.2013100 and HIT.NSFIR.2011126)the Peking University-Lincoln Institute Center for Urban Development and Land Policy(DS20120901).
文摘Given the differences between cities in the United States and China,and the changing structure of Chinese cities,this paper examines the viability of some basic predictions of the Muth-Mills model of urban spatial structure for modern cities in China,using data for the year 2010. Chinese cities are experiencing rapid motorization and road construction over the last two decades,so we have tried to use different measurements for commuting cost in these cities to estimate the empirical model,and concluded that most results support the Muth-Mills assertion. The elasticities of the urban spatial size with respect to the signifi cant variables are discussed,comparing to those for cities in the United States. The results we obtain from both theoretical and empirical analyses can further increase our understanding on the model as a tool for a policy analysis on cities in China.
基金Key Project of National Natural Science Foundation of China,No.71533005The Strategic Priority Research Program of the Chinese Academy of Sciences,No.XDA19050504。
文摘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.
