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A spatial analysis of inward FDI and urban–rural wage inequality in China

Author

Listed:
  • Hao Wang
  • Jan Fidrmuc

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - ULCO - Université du Littoral Côte d'Opale - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Qi Luo

Abstract

This article investigates the spatial effect of inward foreign direct investment (FDI) on urban–rural wage inequality, both in the short and long run, by employing the Spatial Durbin Model. In particular, we carefully consider the heterogeneity of inward FDI with respect to its entry mode (ownership type) and sectoral distribution. Based on a panel dataset covering 30 provinces and cities in China from 2000 to 2016, our results show that inward FDI does not increase urban–rural wage inequality. In particular, we do not find a significant relationship between inward FDI in the secondary and tertiary sectors, while inward FDI in the primary sector has a slightly negative effect on inequality. When we consider inward FDI by entry mode, we find that wholly foreign-owned enterprises (WFE) have a negative spatial effect on urban–rural wage inequality in the short and long run, while equity joint ventures (EJV) reduce urban–rural inequality in the long run only.

Suggested Citation

  • Hao Wang & Jan Fidrmuc & Qi Luo, 2021. "A spatial analysis of inward FDI and urban–rural wage inequality in China," Post-Print hal-03592802, HAL.
    • Handle: RePEc:hal:journl:hal-03592802
    DOI: 10.1016/j.ecosys.2021.100902
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    Cited by:

    1. Jie, Yangyang & Zhang, Peikang & Shen, Tiyan, 2025. "Fade into the Shadows: Adjustments in Administrative Divisions and Regional Disparities," GLO Discussion Paper Series 1589, Global Labor Organization (GLO).
    2. Tang, Le & Sun, Shiyu, 2022. "Fiscal incentives, financial support for agriculture, and urban-rural inequality," International Review of Financial Analysis, Elsevier, vol. 80(C).
    3. Wang, Hao & Luo, Qi, 2022. "Can a colonial legacy explain the pollution haven hypothesis? A city-level panel analysis," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 482-495.
    4. Ma, Guangcheng & Cao, Jianhua & Famanta, Mahamane, 2023. "Does the coordinated development of two-way FDI increase the green energy efficiency of Chinese cities? Evidence from Chinese listed companies," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 59-77.
    5. Li, Xitong & He, Peiming & Liao, Honglin & Liu, Jindan & Chen, Litai, 2024. "Does network infrastructure construction reduce urban–rural income inequality? Based on the “Broadband China” policy," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    6. Hao, Yunping & Zhang, Bing, 2024. "The impact of digital financial usage on resident’s income inequality in China: An empirical analysis based on CHFS data," Journal of Asian Economics, Elsevier, vol. 91(C).

    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • O19 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - International Linkages to Development; Role of International Organizations

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