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Infrastructure, Employment And Income Convergence

Author

Listed:
  • Didit Welly UDJIANTO

    (Professor at UPN "Veteran" Yogyakarta, Indonesia)

  • Joko SUSANTO

    (Lecturer, UPN "Veteran" Yogyakarta, Indonesia)

  • PURWIYANTA

    (Lecturer, UPN "Veteran" Yogyakarta, Indonesia)

Abstract

This study analyses the income convergence in the Gunungkidul Region, Indonesia and the role of infrastructure and employment in supporting this convergence. The data published by the Central Bureau of Statistics is used in this study. Then, this study uses the regression analysis of dynamic panel data to see whether the poor district will tend to grow faster than rich ones so that all economies will eventually converge in terms of per capita income. The results show that there is an income convergence in Gunungkidul Region. The infrastructure and employment are a useful tool for supporting income convergence.

Suggested Citation

  • Didit Welly UDJIANTO & Joko SUSANTO & PURWIYANTA, 2019. "Infrastructure, Employment And Income Convergence," Romanian Journal of Economics, Institute of National Economy, vol. 49(2(58)), pages 50-61, December.
    • Handle: RePEc:ine:journl:v:49:y:2019:i:58:p:50-61
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    References listed on IDEAS

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    3. Iacovone,Leonardo & Sanchez Bayardo,Luis Fernando & Sharma,Siddharth, 2015. "Regional productivity convergence in Peru," Policy Research Working Paper Series 7499, The World Bank.
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    7. Chiara Del Bo & Massimo Florio & Giancarlo Manzi, 2010. "Regional Infrastructure and Convergence: Growth Implications in a Spatial Framework," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 17(3), pages 475-493, September.
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    10. Tadashi Ito, 2010. "NAFTA and Productivity Convergence between Mexico and the US," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 47(135), pages 15-55.
    11. Tahir Mahmood, 2012. "Labour Productivity Convergence in 52 Industries: A Panel Data Analysis of Some European Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 2(3), pages 320-339.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    More about this item

    Keywords

    data quality; data quality dimensions; Data Quality Scale; Iterative method for reducing the impact of outlying data points;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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    Access and download statistics

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