Regional Resilience in China: The Response of the Provinces to the Growth Slowdown

IF 0.6 Q4 ECONOMICS Review of Regional Studies Pub Date : 2022-04-22 DOI:10.52324/001c.35253
Anping Chen, N. Groenewold
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引用次数: 1

Abstract

Since 2007 China’s real GDP growth rate has slowed from a level of over 10% per annum to below 7%. Given China’s regional diversity, an important aspect of the slowdown is the possible spatial variation in its experience. This is the issue we consider in this paper and we analyse this question in the context of the regional economic resilience framework. We proceed in two stages. In the first we analyse a measure of provincial slowdown (a sensitivity index) based just on growth rates and use cross-section regressions to investigate the determinants of this index, using a range of provincial characteristics common in the resilience literature. We find that economic structure, demographic factors and education all play a role, although with signs that are often at odds with the existing literature. In the second stage we decompose regional growth rates into national and province-specific components using a VAR model and argue that since resilience concerns the response of provinces to a national shock, it is properly analysed using just the national component of the growth rate rather than the growth rate as such. We therefore analyse a sensitivity index based just on the national component of growth and find many differences between the two sets of results. Using the second index matters for the determinants which are significant as well as for the magnitude of their coefficients. It appears that some of the influences found to be significant in the first stage are there only because of their influence on growth via the province-specific component of the growth rate and in this sense are spurious.
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中国的区域弹性:各省对经济增长放缓的反应
自2007年以来,中国的实际GDP增长率已从每年10%以上的水平降至7%以下。鉴于中国的区域多样性,经济放缓的一个重要方面是其经历可能存在的空间差异。这是我们在本文中考虑的问题,我们在区域经济弹性框架的背景下分析这个问题。我们分两个阶段进行。首先,我们分析了基于增长率的省级放缓(敏感性指数)的衡量标准,并使用横截面回归来调查该指数的决定因素,使用弹性文献中常见的一系列省级特征。我们发现,经济结构、人口因素和教育都发挥了作用,尽管其迹象往往与现有文献不一致。在第二阶段,我们使用VAR模型将区域增长率分解为国家和省份特定的组成部分,并认为由于弹性涉及省份对国家冲击的反应,因此仅使用增长率的国家组成部分而不是增长率本身进行分析是正确的。因此,我们分析了一个仅基于增长的国家成分的敏感性指数,并发现两组结果之间存在许多差异。使用第二个指标是重要的决定因素,以及其系数的大小。似乎在第一阶段发现的一些显著影响只是因为它们通过增长率的省份特定组成部分对增长产生影响,从这个意义上说,这些影响是虚假的。
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来源期刊
CiteScore
1.20
自引率
22.20%
发文量
13
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