Trade-cum-FDI, Human Capital Inequality and Regional Disparities in China: the Singer Perspective

Fu, Xiaolan

doi:10.1007/s10644-007-9011-7

Cited by 15 publications

(5 citation statements)

References 16 publications

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“…In the more FDI-driven model adopted in PRD there is a danger that resources will become drawn into a growth pole of internationally-owned firms, resulting in little interaction with domestic enterprises (Myrdal 1957;Fu 2004Fu , 2007Fu , 2008Ke & Feser 2010;Wang & Meng 2004;Aghion et al 2005;Du et al 2008; Kim et al 2010). In combination with relatively poor working conditions and detrimental impacts on the general environment from rapid urbanisation (Wei 2010), PRD's relatively lower technology base may struggle over time to attract the type of capital and labour associated with continuous economic upgrading (Zhou et al 2011).…”

Section: Dynamic Regional Comparative Advantagementioning

confidence: 99%

The competitiveness of China's Leading Regions: Benchmarking Their Knowledge‐based Economies

Huggins

Luo

Thompson

2013

Tijd voor Econ & Soc Geog

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The Competitiveness of China's Leading Regions: Benchmarking their Knowledge-Based Economies AbstractChina's spectacular economic growth has been spatially uneven, with much development occurring in eastern coastal areas. In particular, three metropolitan 'super-regions' have become China's most competitive knowledge-based economies, consisting of the Pearl River Delta, the Yangtze River Delta, and the Bohai Gulf Region. This paper benchmarks the competitiveness of these regions, with a view to exploring which region is best positioned to become the most dominant knowledge-based economy over time. Through the theoretical lens of dynamic comparative advantage, it is shown that each region has hugely increased its competitiveness through improvements in the capacity to absorb and diffuse knowledge. It is further shown that due to multi-dimensional advantages the Yangtze River Delta, incorporating the Shanghai metropolis, is best positioned to become the dominant hub of China's future knowledge economy. It is concluded that China's leading regions will require further economic policy adjustments in order to secure their future competitiveness.

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Section: Dynamic Regional Comparative Advantagementioning

confidence: 99%

The competitiveness of China's Leading Regions: Benchmarking Their Knowledge‐based Economies

Huggins

Luo

Thompson

2013

Tijd voor Econ & Soc Geog

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“…The very few works that are published relating to human capital and FDI (e.g., Fu 2007;Fu and Li 2009) focus on the regional dimension. To bridge this gap, our intention is to understand, at a microeconomic level, the importance of human capital as a factor in attracting FDI, controlling for other factors (namely the importance of labour costs for firms) that may influence FDI inflows in the Chinese case.…”

Section: Literature Review On Fdi Determinants With a Focus On Chinamentioning

confidence: 99%

Is human capital relevant in attracting innovative foreign direct investment to China?

Teixeira

Heyuan

2012

Asian Journal of Technology Innovation

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The impact of human capital on foreign direct investment has been assessed in an essentially descriptive manner. Most quantitative studies focus on the macroeconomic level. Microeconomic studies are scarce internationally and even more so in the case of China. Based on a survey of innovative firms located in China, this study assesses the importance of human capital in attracting foreign direct investment (FDI) to China. Using a sample of 77 innovative firms, and logistic estimation techniques, we concluded that even though human capital does not constitute a direct factor in attracting FDI to China, it is a positive indirect factor through firms' R&D efforts. Moreover, we found that connections with universities have a positive impact on the attraction of FDI, although the impact of human capital on the attraction of FDI is not sustained on the basis of additional contacts with universities. Evidence gathered suggests that it is important that public authorities recognize the interconnections between education and innovation policies and the implementation of FDI policies -human capital is only capable of attracting innovative foreign capital when associated with high levels of R&D.

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“…Scholars argued that China′s economic reforms can be better understood as a triple process of decentralization, marketization and globalization, regional inequality in China is sensitive to geographical scale, and is influenced by multiple mechanisms (Wei, 1999;Wei, 2002, Li andWei, 2010;Liao and Wei, 2012). Such factors as fiscal decentralization, foreign investment, policy bias, labor mobility and globalization of science and technology have important influence on China′s regional inequality (Wei, 1996;Lu and Wang, 2002;Ying, 2003;Kanbur and Zhang, 2005;Sun and Wang, 2005;Fu, 2007;Lu and Wei, 2007;Ho and Li, 2008;Segal, 2008;Tsui and Wang, 2008). Indicating the importance of this issue, the People′s Congress listed regional inequality as one of the most pressing problems to be targeted since the Ninth Five-Year Plan (1996)(1997)(1998)(1999)(2000), and series strategies and policies have been implemented to solve economic polarization and alleviate regional inequality.…”

Section: Introductionmentioning

confidence: 99%

Changing rural development inequality in Jilin Province, Northeast China

Cheng

Wang

et al. 2013

Chin. Geogr. Sci.

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Rural development inequality is an important practical issue during the course of full establishment of a ′moderately well-off society′ in modern China, and the objective understanding and evaluation of the status and regional inequality of rural development can provide scientific basis for ′building a new countryside′ and coordination development of rural-urban regions. Based on the county-level data of 2000, 2005 and 2009, this paper examines the rural development inequality of Jilin Province in Northeast China by establishing a rural development index. The spatio-temporal dynamic patterns and domain factors are discussed by using the method of exploratory spatial data analysis and multi-regression model. The results are shown as follows. Firstly, most of the counties were in lower development level, which accounted for 58.3%, 62.5% and 66.7% of the total counties in 2000, 2005 and 2009, respectively. The characteristics of spatial inequality were very obvious at county level. For example, rural development level of Changchun Proper and the proper of seven prefecture-level cities were much higher than that of the surrounding regions. The counties in the eastern and northern Jilin Province were the lowest regions of rural development level, while the middle counties were the rapid growth areas in rural economy. Secondly, Moran′s I of rural development index (RDI) was 0.01,-0.16 and-0.06 in 2000, 2005 and 2009, respectively, which indicated that spatial agglomeration of RDI was not obvious in Jilin Province, and took on the characteristic of random distribution. The counties of both the units and its adjacent units have higher development level (HH) were transferred from the western areas to the eastern areas, while the countries of both the units and its adjacent units have lower development level (LL) were diffused from the eastern to middle and western Jilin Province. Finally, the result of multi-regression analysis showed that the improvement of agricultural production condition, development of agricultural economics and the adjustment of industrial structure were the domain factors affecting rural development inequality of Jilin Province in the later ten years.

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Trade-cum-FDI, Human Capital Inequality and Regional Disparities in China: the Singer Perspective

Cited by 15 publications

References 16 publications

The competitiveness of China's Leading Regions: Benchmarking Their Knowledge‐based Economies

The competitiveness of China's Leading Regions: Benchmarking Their Knowledge‐based Economies

Is human capital relevant in attracting innovative foreign direct investment to China?

Changing rural development inequality in Jilin Province, Northeast China

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