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The Effect of Workers’ Remittances on Export in The Long-Term: Is The Dutch Disease Valid?

Yıl 2020, Sayı: 56, 207 - 228, 30.08.2020
https://doi.org/10.18070/erciyesiibd.605749

Öz

The Dutch Disease can be roughly defined as the negative response of competition in exports as a result of local currency appreciation due to the abundance of foreign currency . In this study, the long-run relationship of the effects of the workers’ remittances on export for 6 out of 10 countries which have the highest rate of remittances to GDP for base year 2017 is analyzed via panel co-integration tests, and investigated whether the remittances cause the Dutch Disease. Consequently, it is found that workers’ remittances and export series are co-integrated. The long-term workers’ remittances coefficient obtained by PDOLS method is negative and statistically significant. Therefore, workers’ remittances decrease exports. In this case, it can be said that workers’ remittances adversely affect competitiveness with the foreign countries in the long term. In the other words, there is the Dutch Disease situation. This result shows that workers’ remittances only increase household welfare, do not transform to capital stock that led to increase in aggregate investments. Politicians can reach more export figures by transforming remittances to further investments. For the further studies, different periods can be examined or the number of countries investigated could be increased. Moreover, spatial panel data methods can be applied if the countries investigated are neighbor geographically.

Kaynakça

  • Acosta, P. A., Lartey, E. K., ve Mandelman, F. S. (2009). Remittances and the Dutch Disease. Journal of International Economics, 79(1):102-116.
  • Adams, R., ve Page, J. (2005). Do international migration and remittances reduce poverty in developing countries? World Development, 33(10): 1645-1669.
  • Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control , 19(6):716 - 723.
  • Baltagi, B. H., Feng, Q., ve Kao, C. (2012). A lagrange multiplier test for cross-sectional dependence in a fixed effects panel data model. Journal of Econometrics, (170): 164-177.
  • Bourdet, Y., ve Falck, H. (2006). Emigrants’ remittances and Dutch Disease in Cape Verde. International Economic Journal, 20(3):267-284.
  • Breitung, J. (2001). The local power of some unit root tests for panel data. J. Breitung içinde, Advances in Econometrics, (s. 161-177).
  • Breusch, T., ve Pagan, A. (1980). The lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239-253.
  • Chowdhury, M. B., ve Rabbi, F. (2014). Workers' remittances and Dutch Disease in Bangladesh. Journal of International Trade and Economic Development, 23(4): 455-475.
  • Corden, W. M. (1984). Booming sector and Dutch Disease economics: survey and consolidation. Oxford Economic, 36(3):359-380.
  • Gerber, T. P., ve Torosyan, K. (2013). Remittances in the Republic of Georgia: correlates, economic ımpact, and social capital formation. Demography, 50(4):1279–1301.
  • Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics Journal, 3(2): 148-161.
  • Harris, R. D., ve Tzavalis, E. (1999). Inference for unit roots in dynamic panels where the time dimension is fixed. Journal of Econometrics, 91(2): 201-226.
  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 1251-1271.
  • Im, K. S., Pesaran, M. H., ve Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1): 53-74.
  • Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data . Journal of Econometrics, 90(1): 1-44.
  • Lartey, E. K., Mandelman, F. S., ve Acosta, P. A. (2012). Remittances, exchange rate regimes and the Dutch Disease: A panel data analysis. Review of International Economics, 20(2): 377-395.
  • Levin, A., Lin, C.-F., ve Chu, C.-S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108(1): 1-24.
  • Maddala, G. S., ve Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(1): 631-652.
  • Makhlouf, F., ve Mughal, M. Y. (2011). Remittances, Dutch Disease, and competitiveness - A Bayesian analysis. Journal of Economic Development.
  • Pedroni, P. (2001). Fully modified OLS for heterogeneous cointegrated panels. In nonstationary panels, panel cointegration, and dynamic panels. Advances In Econometric (s. 15: 93-130). içinde Emerald Group Publishing Limited.
  • Pedroni, P. (2004). Panel cointegration: Asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric Theory, 20(3): 597-62.
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of Applied Econometrics, 22(2): 265-312.
  • Pesaran, M. H., ve Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1): 79-113.
  • Pesaran, M. H., Shin, Y., ve Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association,, 94(446): 621-634.
  • Pesaran., M. H. (2004). General diagnostic tests for cross section dependence in panels. Cambridge Working Papers in Economics, 435.
  • Phillips, P., ve Hansen, B. (1990). Statistical inference in instrumental variables regression with I(1) processes. Review of Economic Studies, 57(1): 99-125.
  • Rajan, R. G., ve Subramanian, A. (2011). Aid, Dutch Disease, and manufacturing growth. Journal of Development Economics, Elsevier, 94(1):106-118.
  • Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2): 461-464.
  • The World Bank. (2019, 04 24). https://databank.worldbank.org/data/reports.aspx?source=2&type=metadata&series=SE.PRM.ENRR# adresinden alınmıştır
  • Torvik, R. (2001). Learning by doing and the Dutch Disease. European Economic Review, 45(2):285-306.
  • Westerlund, J. (2007). Testing for error correction in panel data . Oxford Bulletin of Economics and Statistics, 69(6): 709-748.

Uzun Dönemde İşçi Döviz Havalelerinin İhracat Üzerindeki Etkisi: Hollanda Hastalığı Geçerli Mi?

Yıl 2020, Sayı: 56, 207 - 228, 30.08.2020
https://doi.org/10.18070/erciyesiibd.605749

Öz

Hollanda hastalığı kabaca, dövizin bollaşması sonucunda yerel para biriminin değerlenip ihracatta rekabeti olumsuz etkilemesi şeklinde tanımlanabilir. Bu çalışmada, 2017 baz yılında işçi döviz havalelerinin GSYİH’ ya oranı en yüksek 10 ülkeden 6’sında işçi döviz havalelerinin ihracat üzerindeki uzun dönemli etkisi panel eş-bütünleşme testleri ile incelenmiş, işçi döviz havalelerinin Hollanda Hastalığı durumuna yol açıp açmadığı araştırılmıştır. Sonuç olarak, işçi döviz havaleleri ile ihracat serileri eş-bütünleşik bulunmuştur. PDOLS yöntemiyle elde edilen uzun dönem işçi döviz havaleleri katsayısı negatif ve istatistiksel olarak anlamlıdır. Dolayısıyla işçi döviz havaleleri ihracatı azaltmaktadır. Bu durumda işçi döviz havalelerinin uzun dönemde dış ülkelerle rekabet gücünü azaltmakta olduğu söylenebilir. Bir başka ifadeyle, Hollanda Hastalığı durumu söz konusudur. Bu durum, işçi döviz havalelerinin sadece hane halkı refahını artırdığını, toplam yatırımların artmasını sağlayacak şekilde sermaye stokuna dönüşmediğini göstermektedir. Politikacılar, işçi döviz havalelerinin yatırımlara daha fazla dönüşmesini sağlayarak daha fazla ihracat rakamlarına ulaşabilirler. Bundan sonraki çalışmalarda, farklı dönemler ele alınabileceği gibi ele alınan ülke sayısı da artırılabilir. Coğrafi olarak bakıldığında bu ülkeler birbirine komşu ülkeler ise mekânsal panel veri yöntemleri ile analizler yapılabilir.

Kaynakça

  • Acosta, P. A., Lartey, E. K., ve Mandelman, F. S. (2009). Remittances and the Dutch Disease. Journal of International Economics, 79(1):102-116.
  • Adams, R., ve Page, J. (2005). Do international migration and remittances reduce poverty in developing countries? World Development, 33(10): 1645-1669.
  • Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control , 19(6):716 - 723.
  • Baltagi, B. H., Feng, Q., ve Kao, C. (2012). A lagrange multiplier test for cross-sectional dependence in a fixed effects panel data model. Journal of Econometrics, (170): 164-177.
  • Bourdet, Y., ve Falck, H. (2006). Emigrants’ remittances and Dutch Disease in Cape Verde. International Economic Journal, 20(3):267-284.
  • Breitung, J. (2001). The local power of some unit root tests for panel data. J. Breitung içinde, Advances in Econometrics, (s. 161-177).
  • Breusch, T., ve Pagan, A. (1980). The lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239-253.
  • Chowdhury, M. B., ve Rabbi, F. (2014). Workers' remittances and Dutch Disease in Bangladesh. Journal of International Trade and Economic Development, 23(4): 455-475.
  • Corden, W. M. (1984). Booming sector and Dutch Disease economics: survey and consolidation. Oxford Economic, 36(3):359-380.
  • Gerber, T. P., ve Torosyan, K. (2013). Remittances in the Republic of Georgia: correlates, economic ımpact, and social capital formation. Demography, 50(4):1279–1301.
  • Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics Journal, 3(2): 148-161.
  • Harris, R. D., ve Tzavalis, E. (1999). Inference for unit roots in dynamic panels where the time dimension is fixed. Journal of Econometrics, 91(2): 201-226.
  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 1251-1271.
  • Im, K. S., Pesaran, M. H., ve Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1): 53-74.
  • Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data . Journal of Econometrics, 90(1): 1-44.
  • Lartey, E. K., Mandelman, F. S., ve Acosta, P. A. (2012). Remittances, exchange rate regimes and the Dutch Disease: A panel data analysis. Review of International Economics, 20(2): 377-395.
  • Levin, A., Lin, C.-F., ve Chu, C.-S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108(1): 1-24.
  • Maddala, G. S., ve Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(1): 631-652.
  • Makhlouf, F., ve Mughal, M. Y. (2011). Remittances, Dutch Disease, and competitiveness - A Bayesian analysis. Journal of Economic Development.
  • Pedroni, P. (2001). Fully modified OLS for heterogeneous cointegrated panels. In nonstationary panels, panel cointegration, and dynamic panels. Advances In Econometric (s. 15: 93-130). içinde Emerald Group Publishing Limited.
  • Pedroni, P. (2004). Panel cointegration: Asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric Theory, 20(3): 597-62.
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of Applied Econometrics, 22(2): 265-312.
  • Pesaran, M. H., ve Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1): 79-113.
  • Pesaran, M. H., Shin, Y., ve Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association,, 94(446): 621-634.
  • Pesaran., M. H. (2004). General diagnostic tests for cross section dependence in panels. Cambridge Working Papers in Economics, 435.
  • Phillips, P., ve Hansen, B. (1990). Statistical inference in instrumental variables regression with I(1) processes. Review of Economic Studies, 57(1): 99-125.
  • Rajan, R. G., ve Subramanian, A. (2011). Aid, Dutch Disease, and manufacturing growth. Journal of Development Economics, Elsevier, 94(1):106-118.
  • Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2): 461-464.
  • The World Bank. (2019, 04 24). https://databank.worldbank.org/data/reports.aspx?source=2&type=metadata&series=SE.PRM.ENRR# adresinden alınmıştır
  • Torvik, R. (2001). Learning by doing and the Dutch Disease. European Economic Review, 45(2):285-306.
  • Westerlund, J. (2007). Testing for error correction in panel data . Oxford Bulletin of Economics and Statistics, 69(6): 709-748.
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Sinan Yıldırım 0000-0001-7749-7746

Yayımlanma Tarihi 30 Ağustos 2020
Kabul Tarihi 29 Haziran 2020
Yayımlandığı Sayı Yıl 2020 Sayı: 56

Kaynak Göster

APA Yıldırım, S. (2020). Uzun Dönemde İşçi Döviz Havalelerinin İhracat Üzerindeki Etkisi: Hollanda Hastalığı Geçerli Mi?. Erciyes Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi(56), 207-228. https://doi.org/10.18070/erciyesiibd.605749

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