Premature Deindustrialization or Reindustrialization in China’s Latecomer Provinces

Ni Lar, Hiroyuki Taguchi
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Abstract

AbstractThis study investigates whether latecomer provinces in China have experienced premature deindustrialization or reindustrialization by examining the positions of the provincial industry-income nexus using the latecomer index. The latecomer index facilitates the identification of the downward (premature deindustrialization) and upward (reindustrialization) positions of the nexus for latecomer provinces. The empirical analysis reveals that, for the nationwide level, the premature deindustrialization effect remains during the total sample period of 1992–2020 reflecting the initial regime prioritizing eastern coastal industrialization, whereas the pace of the premature deindustrialization is slowed down in the periods of 2002–2020 and 2009–2020 due to a series of industrial policies under the subsequent regime. At the regional level, the reindustrialization impact dominates the premature deindustrialization effect in the eastern and central regions, whereas this effect dominates the reindustrialization impact in the western region. The study identifies the existence of reindustrialization in China in the regional analysis, whereas extant literature on reindustrialization focuses only on European cases.Keywords: Industry-income nexusindustrial policieslatecomer indexpremature deindustrializationreindustrialization Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 See the website: https://datahelpdesk.worldbank.org/knowledgebase/articles/906519.2 See the website: https://spc.jst.go.jp/statistics/stats_index.html. For the regional classification (eastern, central, and western), also see this website and Appendix A.3 The “industry” is not synonymous with manufacturing because it contains mining and construction as well. However, the industry is usually characterized by manufacturing because of its dominant share.4 UNCTAD (Citation2022) originally traced the industrial policy evolution by dividing the four decades (1978–2018) into three phases: 1978–2001, 2002–2008, and 2009–2019. This study focuses on the latter two phases because the first phase corresponds to the Deng Xiaoping’s reform and opening-up regime.5 Beijing’s GRP per capita is chosen as a denominator in computing the latecomer index because it records the highest level of GRP per capita. However, the choice of denominators does not affect the estimation result (only affects the size of the latecomer index and its coefficient), just because the denominator is, once decided, commonly used in computing the latecomer index of each province.6 The turning point of the inverted U-shaped curve, computed by −θ3/−2 θ4 in Column (a) of Table 3 is approximately 5,000 USD, which is in a reasonable level within the sample range, and comparable to those of Thailand (5,000 USD from Lar & Taguchi, Citation2022) and Indonesia (6,285 USD from Islami & Hastiadi, Citation2020).
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中国后发省份过早去工业化或再工业化
摘要本文通过运用后发指数考察各省产业收入联系的位置,考察中国后发省份是否经历了过早的去工业化或再工业化。后发指数有助于识别后发省份关系的下行(过早去工业化)和上行(再工业化)位置。实证分析表明,从全国层面看,1992-2020年总样本期过早去工业化效应持续存在,反映了初期体制优先发展东部沿海地区工业化,而在2002-2020年和2009-2020年期间,由于后续体制下一系列产业政策的影响,过早去工业化的速度有所放缓。在区域层面上,东部和中部地区再工业化影响主导过早去工业化影响,西部地区过早去工业化影响主导再工业化影响。本研究在区域分析中确定了中国再工业化的存在,而现有文献只关注欧洲的再工业化案例。关键词:产业收入关联产业政策后发指数过早去工业化再工业化披露声明作者未发现潜在的利益冲突注1参考网址:https://datahelpdesk.worldbank.org/knowledgebase/articles/906519.2参考网址:https://spc.jst.go.jp/statistics/stats_index.html。关于地区分类(东部、中部和西部),请参见本网站和附录A.3“工业”不是制造业的同义词,因为它也包括采矿和建筑。然而,由于制造业占主导地位,该行业通常以制造业为特征贸发会议(Citation2022)最初通过将四十年(1978-2018)分为三个阶段来追溯产业政策的演变:1978-2001年、2002-2008年和2009-2019年。之所以选择北京的人均国内生产总值作为计算后发指数的分母,是因为北京的人均国内生产总值水平最高。然而,分母的选择并不影响估计结果(只影响后发指数的大小及其系数),只是因为分母一旦确定,通常用于计算各省的后发指数表3 (a)列中- θ3/ - 2 θ4计算的倒u型曲线拐点约为5,000美元,在样本范围内处于合理水平,与泰国(Lar & Taguchi, Citation2022)和印度尼西亚(Islami & Hastiadi, Citation2020)的拐点相当(5,000美元)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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