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1.
Local governments have long been ardently pursuing the industrial specialization effect (MAR externalities) and industrial diversification effect (Jacobs externalities). Such a pursuit has resulted in severe distortion of resource allocation and negative effect on sustainability of local economic development. Regarding the effect from both MAR and Jacobs externalities on local economic development existing literature records notable disputes. Therefore, for local economic development, one important issue is which externality (MAR or Jacobs) can better bring the effect into play. By studying a panel data of 283 Chinese cities from 2003 to 2012 and applying dynamic plane data GMM method, this paper conducted a regression analysis of the relationship among industrial agglomeration externalities, city size, and regional economic development. The result indicates that with regard to the whole nation, MAR externalities are conducive to regional economy development whereas Jacobs externalities will, to an extent, restrain regional economic development. As regards eastern, middle, and western regions, MAR externalities are conducive only to the economic development of the eastern region; their effects on middle and western regions are insignificant. Moreover, the interaction item between MAR externalities and city size has a significant negative synergistic effect on national economic development and a certain acceleration effect on eastern region as well as a strong negative synergistic effect on the middle region and an insignificant effect on the western region. The interaction item between Jacobs externalities and city size has a positive synergistic effect on only the middle region and has an insignificant synergistic effect on both eastern and western regions. Capital stock and labor input have significant accelerating effects on GDP growth per capita of Chinese cities, whereas material capital and labor input remain primary driving forces for Chinese local economic development. Furthermore, human capital contributes to accelerating urban economic development, whereas government intervention restrains urban economic development.  相似文献   

2.
Social capital has played an increasingly important role in regional development. China is a country with high stocks of social capital. Using several different indicators of social capital, this study tries to research the regional disparities in social capital and the influence of social capital on economic growth of China in 1978–2004. Measuring social capital with indicators of associations, charities and blood donation rates, this study finds significant regional disparities in social capital at provincial level in China. Those indicators for social capital are highly correlated with regional economic performance. Statistical analysis shows that social capital has a significant and positive effect on a long-term provincial economic growth. This relationship exists after controlling policy, macro location factors, and per capita GDP in the initial year. The empirical findings indicate that institutions, culture and social relations are critical for regional development in China. Therefore, the creation and support of social capital should be paid more attention to when making regional policy.  相似文献   

3.
Based on the interprovincial panel data of 2000–2014, this paper carries out an empirical analysis on the relationship between energy abundance and economic growth to test the theoretical hypothesis of ‘resource curse' and explore its transmission mechanism for China and its three regions. The results show that, at the national level, positive correlation is present between energy abundance and economic growth, proving that the ‘resource curse' phenomenon does not exist in China as a whole. Moreover, material capital input, human capital input and the level of opening to the outside world could promote economic growth, while technology innovation input may hinder economic growth. As seen by region, a positive correlation also exists between the energy abundance and economic growth in the eastern and western regions, and there is no ‘resource curse' phenomenon either. In all three regions, the human capital input could promote economic growth. Material capital input could promote economic growth in the eastern but hinder economic growth in the western region; the level of opening to the outside world could promote economic growth in the eastern region. It is known through further survey and analysis on the transmission mechanism of resource curse that, at the national level, material capital input, human capital input, and the level of opening to the outside world present positive correlation with energy abundance, indicating that energy development becomes an important transmission factor by strengthening material capital input and human capital input and raising the level of opening to the outside world. However, technology innovation input presents negative correlation with energy development. As seen by region, both the material capital input and human capital input present positive correlation with energy development strength in the three regions. Similar as the eastern region, the level of opening to the outside world presents positive correlation with energy industry development in the middle and western regions; however, the energy development presents negative correlation with technology input level in the western region.  相似文献   

4.
This paper attempts to summarize the disparities of lnternet development in China spatially-temporally. The major objective is to measure the differences between Eastern, Central and Western China. Methods of map presentation, correlation, Lorenz curve, Gini Coefficient and location quotient analysis are conductcd in this study.For convenience, the indicator of regional lnternet development is simplified as the number of domain names registered under .CN in each province. The data used are collected from the semi-annual surveys of the Statistical surrey Report on the Internet Development in China since 1999. There are several findings: 1)The number of domain names in each province (city) declines gradually from the east to the west. 2) The gap between the highest growth provinces (cities) and the lowest ones is rather large. 3) Although the absolute differences between the eastern, ccntral and western China have been enlarged, the relative diffcrences in each province (city) have remained constant.4) Provinces (cities) are classified into three types according to location quotient changes, namely, rising type,changeless type and declining type. Compared with industrial and economic growth, lnternet sector in the eastern and western China is relatively ascending, while that in the central China is descending. 5) The number of domain names at provincial level is not statistically consistent with GDP.  相似文献   

5.
Based on the analysis of its basic characteristics, this article investigated the disparities of Chinese service industry among the three regions (the eastern China, the western China and the middle China) and inter-provincial disparities of that in the three regions by Theil coefficient and cluster analysis. Then, major factors influencing its spatial disparity were explored by correlation analysis and regression analysis. The conclusions could be drawn as follows. 1) The development of Chinese service industry experienced three phases since the 1980s: rapid growth period, slow growth period, and recovery period. From the proportion of value-added and employment, its development was obviously on the low level. From the composition of industrial structure, traditional service sectors were dominant, but modern service sectors were lagged. Moreover, its spatial disparity was distinct. 2) The level of Chinese service industry was divided into five basic regional ranks: well-developed, developed, relatively-developed, underdeveloped and undeveloped regions. As a whole, the overall structure of spatial disparity was steady in 1990–2005. But there was notable gradient disparity in the interior structure of service industry among different provinces. Furthermore, the overall disparity expanded rapidly in 1990–2005. The inter-provincial disparity of service industry in the three regions, especially in the eastern China, was bigger than the disparity among the three regions. And 3) the level of economic development, the level of urban development, the scale of market capacity, the level of transportation and telecommunication, and the abundance of human resources were major factors influencing the development of Chinese service industry.  相似文献   

6.
Using a heterogeneity stochastic frontier model(HSFM),we empirically investigated the economic efficiency of Beijing-Tianjin-Hebei from 2003 to 2016 and its influencing factors.The key findings of the paper lie in:1)in Beijing-Tianjin-Hebei,the overall economic and technological efficiency tended to increase in a wavelike manner,economic growth slowed down,and there was an obvious imbalance in economic efficiency between the different districts,counties and cities;2)the heterogeneity stochastic frontier production functions(SFPFs)of Beijing,Tianjin and Hebei were different from each other,and investment was still an important impetus of economic growth in Beijing-Tianjin-Hebei;3)economic efficiency was positively correlated with economic agglomeration,human capital,industrial structure,infrastructure,the informatization level,and institutional factors,but negatively correlated with the government role and economic opening.The following policy suggestions are offered:1)to improve regional economic efficiency and reduce the economic gap in Beijing-Tianjin-Hebei,governments must reduce their intervention in economic activities,stimulate the potentials of labor and capital,optimize the structure of human resources,and foster new demographic incentives;2)governments must guide economic factors that are reasonable throughout Beijing-Tianjin-Hebei and strengthen infrastructure construction in underdeveloped regions,thus attaining sustainable economic development;3)governments must plan overall economic growth factors of Beijing-Tianjin-Hebei and promote reasonable economic factors(e.g.,labor,resources,and innovations)across different regions,thus attaining complementary advantages between Beijing,Tianjin,and Hebei.  相似文献   

7.
1 BACKGROUND OF STUDYChina has begun to take part in the great practice ofinternational competition and opening-up in the last 1 /5 time of 20th century. In the last two decades, Chinahas become one of the areas that have the greatest potential in industrial production, thus it has rankedsecond only to USA in the flow of international capital.By the end of 1998, the real value of FDI China hasutilized has added up to $268. I billion. China has wonworld attention as a huge market for …  相似文献   

8.
Although the factors affecting rural-to-urban migration have been discussed and analyzed in detail, few studies have examined the spatiotemporal dynamic characteristics of rural migrants' employment and working-cities in the post-immigrate era, which is essential for the citizenization and social integration of new-type urbanization in China. This study uses survey data from rural migration laborers across the eastern, central, and western China to construct a comprehensive labor migration stability index, and compares the determinants of the migration stability of rural labor among cities and industries using Geodetector. The results are as follows: 1) Compared with the midwestern cities, eastern cities have attracted younger and more skilled rural labor, and industries with higher technical content have higher migration stability among rural laborers. 2) Rural laborers more often adapt to changes by changing employment instead of changing working-cities. 3) The individual experiences of rural laborers and urban characteristics have significant impacts on the stability of migration, and family and societal guanxi(Chinese interpersonal relationships) enhance migration stability. 4) A unified labor market and convenient transportation have somewhat slowed industrial transfers and labor backflow. This study enhances our understanding of the roles of industrial transfer and new-type urbanization in shaping the labor geography landscape and provides policy implications for the promotion of people-oriented urbanization.  相似文献   

9.
Labor migration to urban centers is a common phenomenon in the Panxi region of the southwestern mountainous region of China, mainly owing to inadequate livelihood capital in rural areas. Numerous studies have been conducted to explore the relationship between labor migration and its causes, such as individual and family characteristics, but few studies have focused on livelihood capital. This paper examines the impact factors on labor migration employment location selection and duration from a household livelihood capital perspective. A case study of 279 households from 10 villages in the area was carried out in February 2016. We used both qualitative and quantitative methods to analyze the data. On the basis of the 279 questionnaires, the proportion of households with non-labor migration is 48.4%, whereas households with labor migration within a local city and migration across regions account for 28.7% and 22.9%, respectively. Social, financial, and human capitals are the primary factors that influence migrants’ employment location choice positively. Among them, social capital has a significant impact on both migration within a local city and across regions; each of the regression coefficients is 1.111 and 1.183. Social, human, and financial capitals also have a positive impact on the duration of labor migration, and similarly, social capital is the highest coefficient with 2.489. However, physical capital only partly impacts labor migration across regions, whereas the impact of labor migration within a local city, and the duration, are not significant. Furthermore, the impact of household natural capital on migration space and time are all negative relationships, especially for labor migration across the regions and duration, with coefficient scores of 4.836 and 3.450, respectively. That is to say, a laborer is inclined to migrate within a local city for a short term, or not migrate at all, if natural capital is abundant. Our analysis results show that household livelihood capital has a strong spatio-temporal impact on labor migration.  相似文献   

10.
LOCATION AND ECONOMIC GROWTH： CASE STUDY IN CHINA   总被引：2，自引：0，他引：2  
This paper explores how location could affect economic growth and it has always been omitted in economic analysis. Geographic factors can affect economic activities. Three mechanisms of location affecting economic growth have been studied: consumption, production and migration. The initial superior location will take such advantages as lower transport costs and lower price level, so it could have higher consumption utility, higher productivity, and attract more human capital, then lead higher growth. Those regions with the superior location will have higher utility due to more product varities and the comparative lower price, and higher wage due to the production technology, and it would attract more individuals with higher human capital to move to this location. It is a kind of agglomeration, meaning the superior location will hold more advantages and higher growth rate, otherwise those locations with poor geographic factor will be even worse. Based on Chinese provincial economic growth experiences of these years, this paper does some empirical analysis by regressing on some variables including the geographic ones. In this paper, the dummy variables and population density are used to measure the location factor. And we find evidences supporting the view that dominant locations such as coastal areas grow faster, on the contrary,middle and western provinces grow slower. Location does affect economic growth.  相似文献   

11.
County-level industrial development and structure upgrade is one of the most important issues of revitalizing old industrial base of China. After the cluster analysis on GDP per capita and GDP per area of each county in Liaoning Province, this paper finds the similarity of population size, land use intensity, and economic development of each county. Location quotient reflects the specialization intensity of industries in each county, and it also reflects the spatial differences of county-level industrial development. Economic development level is higher in the southeast than in the northwest of Liaoning, and the industry driving effect on county-level economy is apparent. The main influencing factors include location, industrial foundation and economic system reform, capital input level, knowledge and technology dissemination, conditions of domestic and overseas markets, population and labor force transfer. Industrialization is an important approach to urbanization for the counties in Liaoning Province. The proportion of agriculture is much higher in the northwest than in the southeast of Liaoning, so it will be take longer time for counties in the northwest of Liaoning to make industrialization, urbanization and modernization.  相似文献   

12.
Measuring the economic and social effects of the Northeast China Revitalization Strategy is critical to addressing regional sustainable development in China. To shed light on this issue, an integrated perspective was adopted that is combined with the difference-in-differences method to measure the effects of the strategy on economic growth and social development in Northeast China. The findings suggest that the strategy has significantly improved regional economic growth and per-capita income by increasing its gross domestic product(GDP) and GDP per capita by 25.70% and 46.00%, respectively. However, the strategy has significantly worsened the regional employment in the secondary industry of the region. In addition, the strategy has not significantly improved regional infrastructural road, education investment or social security, and has had no significant effect on mitigating regional disparity. In addition, the policy effects are highly heterogeneous across cities based on city size and characteristics. Therefore, there is no simple answer regarding whether the Northeast China Revitalization Strategy has reached its original goals from an integrated perspective. The next phase of the strategy should emphasize improving research and development(RD) and human capital investments based on urban heterogeneity to prevent conservative path-dependency and the lock-in of outdated technologies.  相似文献   

13.
区域人口迁移流的规模不仅取决于迁出地与目的地的“双边”要素,也与前期迁移流和周边迁移流息息相关。传统重力模型揭示了区域人口迁移过程的“推-拉”机制,但受制于对时空维度的忽视,无法有效表达迁移流之间的时空依赖关系,因而难以度量区域要素变化对迁移流产生的时空溢出效应。本文引入多种形式的时空依赖结构,构建迁移流时空重力模型,并采用贝叶斯马尔可夫链蒙特卡洛（MCMC）方法进行估计。在此基础上,结合时空效应框架量化区域要素对迁移流的影响,定量分析人口迁移过程的时空溢出效应与动力机制。本文以1985-2015年中国省际人口迁移为例,通过与非空间的动态重力模型估计结果比较,初步表明时间依赖、空间依赖以及时空扩散依赖在区域人口迁移过程中不容忽视;时空维度上,区域要素变化在初期对迁移网络的溢出效应超过对该区域迁移流的直接影响;逐渐衰减的时空溢出效应维持了区域人口迁移规模发展的相对稳定,与动态重力模型估计结果形成了鲜明对比。区域人口规模、人均GDP水平及其时空溢出效应共同驱动中国省际人口迁移系统的发展。耦合时空维度依赖关系的时空重力模型能更好地理解区域人口迁移过程的演化特征,为促进区域人口均衡发展提供科学的决策依据。  相似文献   

14.
Regional disparity and convergence of China’s inbound tourism economy   总被引：1，自引：0，他引：1  
Comprehending regional characteristics and influencing factors of China’s inbound tourism economy is important to make effective policies that will help inbound tourism develop harmoniously and shrink regional disparity. This paper studied the regional disparity and convergence of China’s inbound tourism economy during 1996–2008 with the methods of σ-convergence, club convergence and β-convergence. The results indicate that 1) inbound tourism receipts per capita (ITRPC) of the whole country, the eastern, central and western regions presented the rapid increasing trend; 2) ITRPC of the whole country was characterized by convergence; 3) the eastern region presented club convergence, but the central and western regions did not show this trend; 4) the star-hotel levels and investment in fixed assets for the tourism industry per capita had a same trend to growth rates of ITRPC, promoting inbound tourism development, and there was no difference among the 31 provinces (municipalities) in the mainland of China; 5) but the proportion of employed persons in the tourism industry accounting for total population and the proportion of the tertiary industry accounting for GDP had a reversal trend to growth rates of ITRPC, shrinking the provincial disparity in inbound tourism economy, and there were differences between the developed provinces and the developing provinces. Based on these analyses, we put forward some suggestions for the developing provinces to speed up inbound tourism economy.  相似文献   

15.
Based on the data of gross domestic product (GDP), industrial added value and the proportion of industrial employees from 2000 to 2008, this paper studies the effect of industrial structure change on the regional economic growth of Beijing-Tianjin-Hebei Metropolitan Region in China using the shift-share method. The results show that: 1) In the 21st century, the industrial output of three industries, namely, primary, secondary, and tertiary, and the GDP grew rapidly in the study period. The tertiary industry grew the fastest; it had the largest contribution to the GDP and meanwhile had become the most competitive industry in the metropolitan region. 2) The development of cities within the region was not balanced. Firstly, compared with Tianjin, Beijing, as one of the two core cities, was more rational in the industrial structure. Secondly, the surrounding eight cities, which are Shijiazhuang, Qinhuangdao, Tangshan, Langfang, Baoding, Cangzhou, Zhangjiakou, and Chengde, were all uncompetitive than the two core cities. 3) There was a great industrial gradient in the region (especially between the two core cities and the cities of Tangshan, Baoding, Zhangjiakou, Chengde, Cangzhou, and Langfang). As a result, it is foreseeable that the industry transfer in the Beijing-Tianjin-Hebei Metropolitan Region will be one of the trends in regional development, and the industry transfer is inevitably to promote the regional integration.  相似文献   

16.
In this study, an inventory analysis approach was used to investigate the intensity of agricultural non-point source pollution(ANSP) and its spatial convergence at national and provincial levels in China from 1999 to 2017. On this basis, spatial factors affecting ANSP were explored by constructing a spatial econometric model. The results indicate that: 1) The intensity of China's ANSP emission showed an overall upward trend and an obvious spatial difference, with the values being high in the eastern and central regions and relatively low in the western region. 2) Significant spatial agglomeration was shown in China's ANSP intensity, and the agglomeration effect was increasing gradually. 3) In the convergence analysis, a spatial lag model was found applicable for interpretation of the ANSP intensity, with the convergence rate being accelerated after considering the spatial factors but slower than that of regional economic growth.4) The spatial factors affecting the ANSP intensity are shown to be reduced by improving agricultural infrastructure investment, laborforce quality, and crop production ratio, while the expansion of agricultural economy scale and precipitation and runoff have positive impact on ANSP in the study region. However, agricultural research and development(RD) investment showed no direct significant effect on the ANSP intensity. Meanwhile, improving the quality of the labor force would significantly reduce the ANSP intensity in the surrounding areas, while the precipitation and runoff would significantly increase the pollution of neighboring regions. This research has laid a theoretical basis for formulation and optimization of ANSP prevention strategies in China and related regions.  相似文献   

17.
都市圈的形成是自然和社会因素长期共同作用的成果,是人类文明的进步。都市圈战略是中国未来区域发展的重要战略。随着全球经济竞争日益激烈,通过调整空间结构来扩展经济效益空间是大势所趋。目前,国内掀起了规划建设都市圈的热潮。然而,从世界都市圈发展的经验和教训来看,人口、经济发展集中于沿海超大城市的现象越来越突出,反映出地区经济发展的不平衡和对海岸带的依赖。都市圈的战略规划应当遵循社会经济发展的自然规律。都市圈的形成是较长时期的历史积淀结果。它们早在农业经济时代就是人口密集、水网发达地区的河港,近代工业经济发展时期,又成为面向大洋的海港,在信息时代,必须再向现代化的航空港和信息港的方向发展。多港融合,才能具备世界级自由港的功能。这是区域经济发展的终极目标。从地缘经济来看,大都市圈一般具备明显的地域经济优势,具有明显的金融中心龙头效应,占有GDP的绝对比重。随着城市通勤圈的不断扩张和大陆腹地的袭夺,大都市圈通过不断的城市扩张,打破了行政区划的时空分布模式,推动了区域经济重组,并促使其向跨国经济发展。都市圈的发展极不平衡,各具特点,总体上表现出发展的阶段性和空间分异的规律性。就目前比较成熟的三大都市圈,从地缘关系上看,京津冀都市圈具有人文优势,珠三角背靠国际大都市香港,具有亚洲优势,而长三角更具“蝴蝶效应”潜质,展现出吸引全球的世界魅力。都市圈内部各城市之间也存在着激烈的中心城市竞争。因城市化的天时(经济发展水平、发展机遇)、地利(区位优势)与人和(人为因素影响程度)的基础不同,都市圈凝聚力和竞争力的提高,需要在科学发展观指引下,因势利导,统筹规划,因地制宜,优势互补,去跨越各自发展中的门槛。都市圈普遍存在大都市的通病,而且应急反应能力十分脆弱。在都市圈规划和发展过程中,必须针对目前存在的各种生态环境问题,从都市圈整体可持续发展的角度,统筹规划,有针对性地研究制定解决方案和应急预案,防患未然。  相似文献   

18.
Using the data at the county levcl and the regional gravity center model, we calculated six key socio-economic gravity centers, namely population, GDP, output values of primary, secondary and tertiary industries, and arable land area in the Tarim River Basin for each year from 1980 to 2009. We inspected the spatial dynamics of these centers and found that the gravity centers of population and economy evolved simultaneously. The disproportional growth between the population and the economy is also analyzed. The results show that： 1） The gravity centers of the GDR the output values of the main three industries and arable land area show migration trending from southwest to northeast, while the population gravity center shows an excessive growth in the southwest during the same time period. The migration amplitude of the GDP and output values of primary industry, secondary industry, tertiary industry are measurably higher than that of the population. 2） The population gravity center has a negative correlation with the gravity centers of secondary and tertiary industries output values in both longitudinal and latitudinal directions, and a positive correlation with that of primary industry output value in the longitudinal direction. Based on the analysis of correlation coefficient and offset distance, the imbalance between the population and the economy has increased since the 1980s, with regional economic differences now exceeding the international cordon.  相似文献   

19.
In this study, we developed an evaluation index system for green total-factor water-use efficiency(GTFWUE) which reflected both economic and green efficiencies of water resource utilization. Then we measured the GTFWUE of 30 provinces/municipalities/autonomous regions(hereafter provinces) in China(not including Tibet, Hong Kong, Macao, Taiwan as no data) from 2000 to 2018 using a minimum distance to the strong frontier model that contained an undesirable output. We further analyzed the regional differences and spatial correlations of GTFWUE using these values based on Global and Local Moran's I statistics, and empirically determined the factors affecting GTFWUE using a spatial econometric model. The evaluation results revealed that the GTFWUE differed substantially between the regions. The provinces with high and low GTFWUE values were located in the coastal and inland areas of China, respectively. The eastern region had a significantly higher GTFWUE than the central and western regions. The GTFWUEs for all three regions(eastern, central, and western regions) decreased slowly from 2000 to 2011(except 2005), remained stable from 2012 to 2016, and rapidly increased in 2017 before decreasing again in 2018. We found significant spatial correlations between the provincial GTFWUEs. The GTFWUE for most provinces belonged to the high-high or low-low cluster region, revealing a significant spatial clustering effect of provincial GTFWUEs. We also found that China's GTFWUE was highly promoted by economic growth,population size, opening-up level, and urbanization level, and was evidently hindered by water endowment, technological progress, and government influence. However, the water-use structure had little impact on GTFWUE. This study fully demonstrated that the water use mode would be improved, and water resources needed to be used more efficiently and green in China. Moreover, based on the findings of this study, several policy recommendations were proposed from the aspects of cross-regional cooperation, economy, society, and institution.  相似文献   

20.
A key target of the overall strategy implementation for regional development since the 18th Party Congress of China has involved taking measures to narrow regional disparities. This is because resource-based cities' economic development has fallen below general levels due to resource exhaustion and an unbalanced industrial structure, among other factors. Further, an economic gap has long existed between Northeast China's large number of resource-based cities and non-resource-based cities. This article comprehensively studies the economic convergence of Northeast China's resource-based cities and non-resource-based cities from 1996 to 2015 by using a dynamic panel to analyze not only the economic development of different industries and types of cities, but also the main factors that influence economic development. The empirical results demonstrate that economic convergence exists in both resource-based and non-resource-based cities, but the economic gap between them has clearly narrowed since the implementation of a strategy to revitalize the Northeast's old industrial base. Shrinking cities are the fastest to converge, as mature cities are slower and regenerating cities are the slowest; regarding industry structure, the secondary industry dominates the economy in mature and shrinking cities, and the tertiary industry in regenerating cities. The primary stimulus in resource-based cities' economic development involves upgrading the industrial structure and investing in human capital. As China faces a ‘new normal' economy, resource-based cities in Northeast China should restructure the economy and perfect their market system to avoid again widening the economic gap.  相似文献   

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