Are there spillover effects between coastal and noncoastal regions in China?

Brun, Jean‐François; Combes, Jean-Louis; Renard, Marcel

doi:10.1016/s1043-951x(02)00070-6

Cited by 149 publications

(107 citation statements)

References 19 publications

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“…Therefore, the equalizing effects of the spillovers appear to be insufficient to offset the exaggerating effect of government policies on regional inequality. These results are consistent with those reported by previous studies (Brun et al, 2002;Fu, 2004). Third, the coefficients on d9100 are positive and significantly at the 1% level, indicating that the 1990s witnessed a higher regional inequality.…”

Section: Results From Panel Data Analysissupporting

confidence: 92%

“…Such stronger influence seems to be neutralized in some extent by employment and demographic factors so that the actual effects of the policies on inland-coastal inequality in terms of per capita GDP become weaker. Recent studies emphasized the role of the spillover effects from coastal to inland regions in China (Ying, 2000;Brun et al, 2002;Fu, 2004). Indeed, in the early stage of economic reforms, the central government has encouraged some regions to "get rich first" and emphasized coastal development, expecting that the growth centers in the coastal region would produce diffusion to the interior and ultimately stimulate the prosperity of the whole country (NCDR, 1994).…”

Section: Results From Panel Data Analysismentioning

confidence: 99%

“…Large capital inflow did not depress the return of capital and the real wage in the coastal areas, which continuously benefit from the international technological diffusion (Fleisher and Chen, 1997;Bao et al, 2002). Due to local protectionism, geographical distance and structure of exports and FDI, there are only limited spillover effects from growth centers in the coastal areas to inland regions (Brun et al, 2002;Poncet, 2003;Fu, 2004).…”

Section: Fig1: the Fundamental Determinants Of Incomementioning

confidence: 99%

See 2 more Smart Citations

Fundamental causes of inland–coastal income inequality in post-reform China

Hao

Wei

2008

Ann Reg Sci

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This paper investigates the fundamental causes of the widening inland-coastal inequality in China during the reform period 1978-2004 within a systematic framework of economic development theory.We highlight the roles of three policy variables, namely globalization, decentralization and marketization, in determining the income gap between inland and coastal regions. The results derived from both time-series and panel data provide strong evidence that these policies are thus far inequality-enhancing. This finding is robust to the use of different estimation methods, alternative proxies for policies and regional income, and the inclusion of other controls. We also find significant but economically small spillover effects from the coastal to inland provinces. Our results suggest that more efforts should be made to improve the policies to reduce regional inequality in China.

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Section: Results From Panel Data Analysissupporting

confidence: 92%

Section: Results From Panel Data Analysismentioning

confidence: 99%

Section: Fig1: the Fundamental Determinants Of Incomementioning

confidence: 99%

See 1 more Smart Citation

Fundamental causes of inland–coastal income inequality in post-reform China

Hao

Wei

2008

Ann Reg Sci

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“…It is emphasized that, based on provincial-level panel data, there were spread effects from coastal regions to noncoastal regions [35], while it is argued that more serious regional inequalities were a consequence of backwash effects from the coastal region to inland regions [36].…”

Section: Review Of the Central-suburban Relationshipmentioning

confidence: 99%

Assessing the Merits of the Urban-Led Policy in China: Spread or Backwash Effect?

Chiang

2018

Sustainability

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Shanghai and Beijing, as two megacities, are often regarded as the most successful examples of China's growth pole policy, which has stirred up a great deal of controversy behind the spread-backwash effects. It is believed that the spread-backwash effects for these two mega metropolitan regions are particularly valuable when evaluating the merits of adopting an "urban-led" policy in China. Moreover, a great deal of effort has been devoted to the cross-section analysis of relevant data. What seems to be lacking, however, is a time-series econometric method. The estimation results using real gross regional product (GRP) over the last 50 years reveal that a long-run equilibrium exists for these central cities and their suburbs. More noteworthy is the finding that spread and backwash effects coexist in these two metropolitan regions, namely, the central city has spread and backwash effects on its medium-level and low-level suburbs, respectively. Thus, how to diminish the city-suburb gap is our concern and this argument is consistent with the spirit of new-type urbanization policy in China now to create a balanced and equalized metropolitan economy.

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“…At present, the studies of regional economic growth in China are mainly concentrated on the factors analysis [1]. Research about spatial correlation of regional economic growth is gradually developed, but still not enough.…”

Section: Introductionmentioning

confidence: 99%

Research on the Spatial Correlation of Regional Economic Growth in Guangdong Province - Based on Analytic Network Process

Li¹,

Li²,

Zhan³

et al. 2016

Proceedings of the 2016 International Conference on Humanities and Social Science

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Abstract. This paper collects the data of 20 cities' regional gross domestic product (GDP) in Guangdong from 1979 to 2013 as basic to measure the spatial correlation of regional economic growth between cities by establishing the VAR models and depicts the characteristics of spatial correlation of regional economic growth in Guangdong through the Analytic Network Process. The results show that: (1) There exist 160 spatial correlation relationships between cities and the spatial correlation is stability and multiple. After modularization, 20 cities can be divided into four modules--the bidirectional spillover module, net spillover module, main beneficial module and net beneficial module. The spillover network structure of economic growth has obvious flattening feature. (2) Guangzhou and Shenzhen are the engines of the spatial spillover of economic growth in Guangdong. Shanwei and Shaoguan are the main sources of the growth energy. (3) The Pearl River Delta influences the spatial spillover of regional economic growth in peripheral areas prominently. Within the Pearl River Delta, Dongguan is the main beneficiary in this spillover effect. And Zhaoqing belongs to the net beneficial module, so fails to play a role of transferring the growth energy to other cities. (4) The differences of industrial structure between cities will have a negative effect on spatial correlation. And the differences in the degree of openness between cities will promote the spillover effect of regional economic growth significantly.

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Are there spillover effects between coastal and noncoastal regions in China?

Cited by 149 publications

References 19 publications

Fundamental causes of inland–coastal income inequality in post-reform China

Fundamental causes of inland–coastal income inequality in post-reform China

Assessing the Merits of the Urban-Led Policy in China: Spread or Backwash Effect?

Research on the Spatial Correlation of Regional Economic Growth in Guangdong Province - Based on Analytic Network Process

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