IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v72y2021ics0301420721001252.html
   My bibliography  Save this article

Does institutional quality and remittances inflow crowd-in private investment to avoid Dutch Disease? A case for emerging seven (E7) economies

Author

Listed:
  • Su, Chi-Wei
  • Sun, Tiezhu
  • Ahmad, Shabbir
  • Mirza, Nawazish

Abstract

This study investigates the role of remittances and institutional quality in promoting private investment for emerging seven (E7) economies. This study further analyzes whether the private investment is crow-out due to Dutch disease phenomena or a crow-in. This study uses advanced panel data econometric tools to achieve the study's desired objectives, i.e., Pesaran second-generation unit root test, Westerlund cointegration, and cross-sectionally augmented ARDL for the period 1990–2019. Moreover, this study also added an interactive term for remittance inflow and institutional quality to see both terms' joint effect. Similarly, the role of gross domestic product and financial risk is also analyzed in this study. This study's outcomes show that increasing remittance inflow does cause Dutch disease; however, improvement in institutional quality and its joint effect with remittance inflow on private investment is positive and nullifies the phenomena of Dutch disease. Moreover, an increasing gross domestic product causes private investment to grow. On the other hand, increasing financial risk in emerging seven economies cause private investment to decline. Based on our empirical findings, this study indicates that improvement in institutional quality and channelizing inflow of remittance, and overcoming financial risk shall help promote private investment in these countries.

Suggested Citation

  • Su, Chi-Wei & Sun, Tiezhu & Ahmad, Shabbir & Mirza, Nawazish, 2021. "Does institutional quality and remittances inflow crowd-in private investment to avoid Dutch Disease? A case for emerging seven (E7) economies," Resources Policy, Elsevier, vol. 72(C).
  • Handle: RePEc:eee:jrpoli:v:72:y:2021:i:c:s0301420721001252
    DOI: 10.1016/j.resourpol.2021.102111
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420721001252
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2021.102111?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hrushikesh Mallick, 2012. "Inflow Of Remittances And Private Investment In India," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 57(01), pages 1-22.
    2. Farid Makhlouf & Mazhar Mughal, 2013. "Remittances, Dutch Disease, And Competitiveness: A Bayesian Analysis," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(2), pages 67-97, June.
    3. Umar, Muhammad & Ji, Xiangfeng & Mirza, Nawazish & Rahat, Birjees, 2021. "The impact of resource curse on banking efficiency: Evidence from twelve oil producing countries," Resources Policy, Elsevier, vol. 72(C).
    4. Connel Fullenkamp & Mr. Thomas F. Cosimano & Michael T. Gapen & Mr. Ralph Chami & Mr. Peter J Montiel & Mr. Adolfo Barajas, 2008. "Macroeconomic Consequences of Remittances," IMF Occasional Papers 2008/001, International Monetary Fund.
    5. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    6. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    7. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    8. Su, Chi-Wei & Khan, Khalid & Tao, Ran & Umar, Muhammad, 2020. "A review of resource curse burden on inflation in Venezuela," Energy, Elsevier, vol. 204(C).
    9. Su, Chi-Wei & Qin, Meng & Tao, Ran & Umar, Muhammad, 2020. "Financial implications of fourth industrial revolution: Can bitcoin improve prospects of energy investment?," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    10. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    11. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    12. Carlos Medina & Lina Cardona, 2010. "The Effects of Remittances on Household Consumption, Education Attendance and Living Standards: the Case of Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 72, pages 11-44.
    13. Singer, David Andrew, 2010. "Migrant Remittances and Exchange Rate Regimes in the Developing World," American Political Science Review, Cambridge University Press, vol. 104(2), pages 307-323, May.
    14. Su, Chi-Wei & Huang, Shi-Wen & Qin, Meng & Umar, Muhammad, 2021. "Does crude oil price stimulate economic policy uncertainty in BRICS?," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    15. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    16. Francesco Grigoli & Zachary Mills, 2014. "Institutions and public investment: an empirical analysis," Economics of Governance, Springer, vol. 15(2), pages 131-153, May.
    17. Ranjan Kumar Dash, 2020. "Impact of Remittances on Domestic Investment: A Panel Study of Six South Asian Countries," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 21(1), pages 7-30, March.
    18. Naseer, Ahsan & Su, Chi-Wei & Mirza, Nawazish & Li, Jing-Ping, 2020. "Double jeopardy of resources and investment curse in South Asia: Is technology the only way out?," Resources Policy, Elsevier, vol. 68(C).
    19. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    20. Syed Ali Raza, 2015. "Foreign direct investment, workers’ remittances and private saving in Pakistan: an ARDL bound testing approach," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(6), pages 1216-1234, December.
    21. Murillo Campello & Antonio F. Galvao & Ted Juhl, 2019. "Testing for Slope Heterogeneity Bias in Panel Data Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 749-760, October.
    22. Markus Eberhardt, 2012. "Estimating panel time-series models with heterogeneous slopes," Stata Journal, StataCorp LP, vol. 12(1), pages 61-71, March.
    23. Murshed Chowdhury, 2016. "Financial Development, Remittances and Economic Growth: Evidence Using a Dynamic Panel Estimation," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 10(1), pages 35-54, February.
    24. Umar, Muhammad & Rizvi, Syed Kumail Abbas & Naqvi, Bushra, 2021. "Dance with the devil? The nexus of fourth industrial revolution, technological financial products and volatility spillovers in global financial system," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    25. Farid Makhlouf & Mazhar Yasin Mughal, 2013. "Remittances, Dutch Disease, and Competitiveness: a Bayesian Analysis," Post-Print hal-01884858, HAL.
    26. Aggarwal, Reena & Demirgüç-Kunt, Asli & Pería, Maria Soledad Martínez, 2011. "Do remittances promote financial development?," Journal of Development Economics, Elsevier, vol. 96(2), pages 255-264, November.
    27. James Dzansi, 2013. "Do remittance inflows promote manufacturing growth?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(1), pages 89-111, August.
    28. GU, Jianqiang & Umar, Muhammad & Soran, Semih & Yue, Xiao-Guang, 2020. "Exacerbating effect of energy prices on resource curse: Can research and development be a mitigating factor?," Resources Policy, Elsevier, vol. 67(C).
    29. Xu, Yiqing & Yao, Yang, 2015. "Informal Institutions, Collective Action, and Public Investment in Rural China," American Political Science Review, Cambridge University Press, vol. 109(2), pages 371-391, May.
    30. Le Thanh Tung, 2018. "The Impact Of Remittances On Domestic Investment In Developing Countries: Fresh Evidence From The Asia-Pacific Region," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 9(2).
    31. Mubinzhon Abduvaliev & Ricardo Bustillo, 2020. "Impact of remittances on economic growth and poverty reduction amongst CIS countries," Post-Communist Economies, Taylor & Francis Journals, vol. 32(4), pages 525-546, May.
    32. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhan, Zhan & Naqvi, Bushra & Rizvi, Syed Kumail Abbas & Cai, Xiaotong, 2021. "How exchange rate regimes are exacerbating or mitigating the resource curse?," Resources Policy, Elsevier, vol. 72(C).
    2. Ma, Yechi & Chen, Zhiguo & Shinwari, Riazullah & Khan, Zeeshan, 2021. "Financialization, globalization, and Dutch disease: Is Dutch disease exist for resources rich countries?," Resources Policy, Elsevier, vol. 72(C).
    3. Chi, Meiqing & Muhammad, Sulaman & Khan, Zeeshan & Ali, Shahid & Li, Rita Yi Man, 2021. "Is centralization killing innovation? The success story of technological innovation in fiscally decentralized countries," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    4. Ranjan Kumar Dash, 2020. "Impact of Remittances on Domestic Investment: A Panel Study of Six South Asian Countries," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 21(1), pages 7-30, March.
    5. Wang, Chenguang & Qiao, Cuixia & Ahmed, Rahil Irfan & Kirikkaleli, Dervis, 2021. "Institutional Quality, Bank Finance and Technological Innovation: A way forward for Fourth Industrial Revolution in BRICS Economies," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    6. Li, Menghan & Zhang, Kaiyue & Alamri, Ahmad Mohammed & Ageli, Mohammed Moosa & Khan, Numan, 2023. "Resource curse hypothesis and sustainable development: Evaluating the role of renewable energy and R&D," Resources Policy, Elsevier, vol. 81(C).
    7. Yuan, Shengjun & Musibau, Hammed Oluwaseyi & Genç, Sema Yılmaz & Shaheen, Riffat & Ameen, Anam & Tan, Zhixiong, 2021. "Digitalization of economy is the key factor behind fourth industrial revolution: How G7 countries are overcoming with the financing issues?," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    8. Deng, Wei & Akram, Rabia & Mirza, Nawazish, 2022. "Economic performance and natural resources: Evaluating the role of economic risk," Resources Policy, Elsevier, vol. 78(C).
    9. Sun, Yanpeng & Chang, Hsuling & Vasbieva, Dinara G. & Andlib, Zubaria, 2022. "Economic performance, investment in energy resources, foreign trade, and natural resources volatility nexus: Evidence from China's provincial data," Resources Policy, Elsevier, vol. 78(C).
    10. Qamruzzaman, Md & Karim, Salma & Jahan, Ishrat, 2022. "Nexus between economic policy uncertainty, foreign direct investment, government debt and renewable energy consumption in 13 top oil importing nations: Evidence from the symmetric and asymmetric inves," Renewable Energy, Elsevier, vol. 195(C), pages 121-136.
    11. Li, Tianyu & Yue, Xiao-Guang & Waheed, Humayun & Yıldırım, Bilal, 2023. "Can energy efficiency and natural resources foster economic growth? Evidence from BRICS countries," Resources Policy, Elsevier, vol. 83(C).
    12. Francisco García-Lillo & Eduardo Sánchez-García & Bartolomé Marco-Lajara & Pedro Seva-Larrosa, 2023. "Renewable Energies and Sustainable Development: A Bibliometric Overview," Energies, MDPI, vol. 16(3), pages 1-22, January.
    13. Iheonu, Chimere & Asongu, Simplice & Odo, Kingsley & Ojiem, Patrick, 2020. "Financial Sector Development and Investment in Selected ECOWAS Countries: Empirical Evidence using Heterogeneous Panel Data Method," MPRA Paper 107102, University Library of Munich, Germany.
    14. Gao, Chunjiao & Chen, Hongxi, 2023. "Electricity from renewable energy resources: Sustainable energy transition and emissions for developed economies," Utilities Policy, Elsevier, vol. 82(C).
    15. Prempeh Kwadwo Boateng & Frimpong Joseph Magnus & Yeboah Samuel Asuamah, 2024. "The dynamics of financial development, environmental degradation, economic growth and population health in the Economic Community of West African States," Environmental & Socio-economic Studies, Sciendo, vol. 12(2), pages 13-27.
    16. Abdelaziz Boukhelkhal, 2022. "Energy use, economic growth and CO2 emissions in Africa: does the environmental Kuznets curve hypothesis exist? New evidence from heterogeneous panel under cross-sectional dependence," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 13083-13110, November.
    17. Hao, Linna & Ahmad, Shabbir & Chang, Hsu-Ling & Umar, Muhammad, 2021. "Knowledge spill-over and institutional quality role in controlling Dutch disease: A case of BRICS countries," Resources Policy, Elsevier, vol. 72(C).
    18. Trofimov, Ivan D., 2020. "Is There a J-Curve Effect in the Services Trade in Canada? A Panel Data Analysis," MPRA Paper 106704, University Library of Munich, Germany.
    19. Angeliki N. Menegaki, 2019. "The ARDL Method in the Energy-Growth Nexus Field; Best Implementation Strategies," Economies, MDPI, vol. 7(4), pages 1-16, October.
    20. Skare, Marinko & Ozturk, Ilhan & Porada-Rochoń, Małgorzata & Stjepanovic, Sasa, 2024. "Energy as the new frontier: Dynamic panel data analysis revealing energy's transformative role in economic growth and technological progress," Technological Forecasting and Social Change, Elsevier, vol. 200(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:72:y:2021:i:c:s0301420721001252. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.