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Foreign determinants of local institutions: Spatial dependence and openness

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  • Faber, Gerrit
  • Gerritse, Michiel

Abstract

There are both empirical and theoretical arguments for the thesis that foreign factors have an impact on domestic institutional quality. Yet the literature is divided over whether exposure (openness to the world economy) or the kind of institutions in surrounding countries (relative location) determines the quality of local institutions. This paper confronts these hypotheses empirically, addressing the issues of strong cross-sectional dependence and the endogeneity of openness. In a 107-country cross-section, both trade openness and relative location have a positive impact on local institutions. The institutional quality of neighbouring countries is not found to be statistically significant when considering openness to foreign direct investments instead of trade, but the statistical performance of that model is poorer.

Suggested Citation

  • Faber, Gerrit & Gerritse, Michiel, 2012. "Foreign determinants of local institutions: Spatial dependence and openness," European Journal of Political Economy, Elsevier, vol. 28(1), pages 54-63.
  • Handle: RePEc:eee:poleco:v:28:y:2012:i:1:p:54-63
    DOI: 10.1016/j.ejpoleco.2011.09.005
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    2. Gründler, Klaus & Potrafke, Niklas, 2019. "Corruption and economic growth: New empirical evidence," European Journal of Political Economy, Elsevier, vol. 60(C).
    3. Michiel Gerritse, 2015. "Does trade cause long-run development? Theory and evidence from countries behind the Suez channel," ERSA conference papers ersa15p1100, European Regional Science Association.
    4. Pieroni, L. & d'Agostino, G., 2013. "Corruption and the effects of economic freedom," European Journal of Political Economy, Elsevier, vol. 29(C), pages 54-72.
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    10. Borsky, Stefan & Kalkschmied, Katja, 2019. "Corruption in space: A closer look at the world's subnations," European Journal of Political Economy, Elsevier, vol. 59(C), pages 400-422.
    11. Wen, Jun & Yin, Hua-Tang & Jang, Chyi-Lu & Uchida, Hideaki & Chang, Chun-Ping, 2023. "Does corruption hurt green innovation? Yes – Global evidence from cross-validation," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    12. Neumayer, Eric & Plümper, Thomas, 2016. "W," Political Science Research and Methods, Cambridge University Press, vol. 4(1), pages 175-193, January.
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    14. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2022. "Institutional quality and its spatial spillover effects on energy efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    15. Goel, Rajeev K. & Saunoris, James W., 2022. "Corrupt thy neighbor? New evidence of corruption contagion from bordering nations," Journal of Policy Modeling, Elsevier, vol. 44(3), pages 635-652.
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    17. G. Faber & M. Gerritse, 2012. "Deep determinants or interactions: explaining spatial patterns in human rights," Working Papers 12-17, Utrecht School of Economics.

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    More about this item

    Keywords

    Economic institutions; Spatial dependence; Economic openness; Spatial econometrics;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission
    • O19 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - International Linkages to Development; Role of International Organizations

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