2014
DOI: 10.1007/s11442-014-1129-8
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Evolving a core-periphery pattern of manufacturing industries across Chinese provinces

Abstract: This paper, concerning uneven development in China, empirically analyzes the core-periphery gradient of manufacturing industries across provinces (autonomous regions, municipalities), and assesses the extent to which these provinces have changed in recent years. Since China's reform and opening-up, the spatial structure of the economy has presented a significant core-periphery pattern, the core evidently skewing towards east-coastal areas. With the deepening of market reforms and expansion of globalization, in… Show more

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Cited by 7 publications
(8 citation statements)
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“…Among rural communities in developing countries, research suggests that autonomous community coping with environmental shocks (from rapid-onset disasters to slow-onset manifestations of climate change) varies with peripherality. Defined as a measure of a community's engagement with global agendas and coarsely proxied by distance from national developmental cores (Maru et al 2014; Nunn and Kumar 2018), peripherality is a measure that is commonly used in economic geography at a range of scales from the local to national-regional to global (e.g., Copus et al 2008;Mao et al 2014;Sofer 2015;Wallerstein 2004). The principal utility of such models has been the ready characterization of uneven development, whether this refers to such factors as income and investment potential, education and opportunity, or global networking through communications.…”
Section: Introductionmentioning
confidence: 99%
“…Among rural communities in developing countries, research suggests that autonomous community coping with environmental shocks (from rapid-onset disasters to slow-onset manifestations of climate change) varies with peripherality. Defined as a measure of a community's engagement with global agendas and coarsely proxied by distance from national developmental cores (Maru et al 2014; Nunn and Kumar 2018), peripherality is a measure that is commonly used in economic geography at a range of scales from the local to national-regional to global (e.g., Copus et al 2008;Mao et al 2014;Sofer 2015;Wallerstein 2004). The principal utility of such models has been the ready characterization of uneven development, whether this refers to such factors as income and investment potential, education and opportunity, or global networking through communications.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, the industrial concentration in manufacturing and service sectors has attracted the interests of scholars for nearly 30 years [1][2][3][4]. In addition, with the use of large specialized equipment in agriculture, the geographic agglomeration and specialized production in agriculture recently demonstrated their competitiveness [5].…”
Section: Introductionmentioning
confidence: 99%
“…Current research on agglomeration mainly focused on the manufacturing and service sectors [1][2][3][4]. Marshall (1890) explained the reason for the concentration of specialized industries in particular localities, and described three original and classic contributors: technology spillovers, a constant market for skilled workers, and sharing of infrastructure and materials with subsidiary industries [7].…”
Section: Introductionmentioning
confidence: 99%
“…The key principles and forces behind the regional polarization of social and economic development are discussed within the framework of spatial-economic theories of placement and regional development. Peripheral territories are resource providers [5], participants in inter-regional exchange [18], center-dependent territories [19,20], and locations for less profitable companies [21] and energy intensive industries (if abundant with energy resources) [22], according to this literature. In whatever way they may indicate disadvantages and possibilities for SPTs, these theories do not answer the fundamental question: what does sustainable development in such territories entail?…”
Section: Methodsmentioning
confidence: 99%