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ENDONEZYA HOLLANDA HASTALIĞI RİSKİ ALTINDA OLABİLİR Mİ? PALM YAĞI ÜZERİNE BİR İNCELEME

Yıl 2025, Cilt: 5 Sayı: 2, 43 - 68

Öz

Palm yağı üretiminin artışı, maliyet etkinliği ve trans yağ asitleri içermemesinden kaynaklanmaktadır. Bu durum, gıda, gıda dışı endüstriler ve biyoyakıtlar dahil olmak üzere çeşitli sektörlerde küresel tüketim artışını yansıtmaktadır. Endonezya, bu emtianın en büyük ihracatçısı olarak küresel palm yağı piyasası üzerinde önemli bir etkiye sahiptir. Ancak bu hakimiyet, ekonomi literatüründe incelenen bir fenomen olan Hollanda Hastalığı ile ilgili endişeleri gündeme getirmektedir. Bu çalışma, Endonezya'daki palmiye yağı üretiminin, reel döviz kurundaki değişiklikler yoluyla Endonezya ekonomisinde Hollanda Hastalığına yol açıp açmadığını araştırmayı amaçlamaktadır. Çalışma, Balassa-Samuelson etkisini ampirik olarak araştırmak için tasarlanan, Kuralbayeva, Kutan ve Wyzan (2001) tarafından geliştirilen bir model çerçevesini benimsemektedir. Analiz, 2009:M01 ile 2022:M12 arasındaki döneme ait aylık verileri kullanmaktadır. Bu veriler arasında Endonezya'nın reel efektif döviz kuru, ticaret hadleri, palmiye yağı fiyatları ve reel ücretler bulunmaktadır. Genel bir VAR modeli oluşturarak, çalışma ticaret hadleri, palmiye yağı fiyatları ve reel ücretlerin reel efektif döviz kuru üzerindeki kısa ve uzun vadeli etkilerini incelemektedir. Bulgulara göre, değişkenler arasında uzun vadeli bir eşbütünleşme vardır. Reel ücretlerden reel döviz kuru ve diğer değişkenlere Granger nedenselliği vardır ve ticaret hadleriyle ilişkisi istatistiksel olarak anlamlı değildir. Reel döviz kuru, ticaret hadlerinden beklendiğinden daha az etkilenmektedir ve reel ücretler onu etkilese de, Hollanda Hastalığını doğrulamak için kanıtlar yetersizdir, bu da dengeli sektörel rekabet gücü ve palmiye yağı ihracatının sınırlı etkilerini göstermektedir.

Kaynakça

  • Agbonlahor, O. (2014). The impact of monetary policy on the economy of the United Kingdom: A Vector Error Correction Model (VECM). European Scientific Journal, 10(16), 19-42.
  • Alagöz, M., & Paksoy, H. (2023). Hollanda Hastalığı: Türk Cumhuriyetleri Örneği. Karamanoğlu Mehmetbey Üniversitesi Sosyal ve Ekonomik Araştırmalar Dergisi, 25(44), 450-463.
  • Aktaş, C., ve Yılmaz, V. (2008). Gümrük Birliği Sonrası Türkiye’nin İhracat Fonksiyonunun Tahmini. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi(13), 89-104.
  • Akyüz, H. E. (2018). Vektör otoregresyon (VAR) modeli ile iklimsel değişkenlerin istatistiksel analizi. International Journal of Engineering Research and Development, 10(2), 183-192.
  • Anderson, T.W., & Darling, D.A. (1954). A test of goodness of fit. Journal of the American Statistical Association, 49(268), 765-769.
  • Asari, F. F. A. H., Baharuddin, N. S., Jusoh, N., Mohamad, Z., Shamsudin, N., & Jusoff, K. (2011). A vector error correction model (VECM) approach in explaining the relationship between interest rate and inflation towards exchange rate volatility in Malaysia. World applied sciences journal, 12(3), 49-56.
  • Banerjee, P., Arčabić, V., ve Lee, H. (2017). Fourier ADL Cointegration Test to Approximate Smooth Breaks with New Evidence from Crude Oil Market. Economic Modelling(67), 114-124.
  • Banerjee, A., Dolado, J., & Mestre, R. (1998). Error‐correction mechanism tests for cointegration in a single‐equation framework. Journal of time series analysis, 19(3), 267-283.
  • Barczikay, T., Biedermann, Z., & Szalai, L. (2020). An investigation of a partial Dutch disease in Botswana. Resources Policy, 67, 101665.
  • Barder, O. M. (2006). A policymakers' guide to Dutch disease. Center for Global Development Working Paper, (91).
  • Becker, R., Enders, W., ve Lee, J. (2006). A Stationary Test in The Presence of an Unknown Number of Smooth Breaks. Journal of Time Series Analysis, 27(3),
  • Biedermann, Z., Barczikay, T., & Szalai, L. (2023). The Dutch Disease in Angola: An Empirical Analysis. Engineering Proceedings, 39(1), 40.
  • BPS-Statistics Indonesia (2022). Indonesia Oil Palm Statistics Report, Nov. 30, 2022. https://www.bps.go.id/en/publication/2022/11/30/254ee6bd32104c00437a4a61/indonesian-oil-palm-statistics-2021.html
  • Brada, J. C. (1998). Introduction: Exchange rates, capital flows, and commercial policies in transition economies. Journal of Comparative economics, 26(4), 613-620.
  • Botta, A. (2015). The macroeconomics of a financial Dutch disease. Levy Economics Institute of Bard College Working Paper, (850).
  • Boussalem, S., & Benterki, A. (2015). The Effect of Dutch Disease on Trade Openness and Foreign Direct Investment in Algeria. Journal of Human Sciences, 57-65.
  • Brinčíková, Z. (2016). The Dutch disease: an overview. European Scientific Journal, 12(10), 95-101.
  • Corden, W. M. & Neary, J. P. (1982). Booming sector and de-industrialisation in a small open economy. The Economic Journal, 92(368), (pp. 825-848) Oxford University Press.
  • Corden W. M. (1984) Booming Sector and Dutch Disease Economics: Survey and Consolidation, Oxford Economic Papers, 36(3), pp. 359-380
  • Dauvergne, P. (2018). The global politics of the business of “sustainable” palm oil. Global Environmental Politics, 18(2), 34-52.
  • De Broeck, M., & Sløk, T. (2001). Interpreting Real Exchange Rate. IMF Working Paper 56.
  • Dibooglu, S., & Kutan, A. M. (2001). Sources of real exchange rate fluctuations in transition economies: the case of Poland and Hungary. Journal of Comparative Economics, 29(2), 257-275.
  • Dickey, D. A., Fuller,W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica 49:1057–1072.
  • Dickey, D. A., ve Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74(366), 427-431.
  • Enders, W., ve Jones, P. (2016). Grain Prices, Oil Prices, and Multiple Smooth Breaks in a VAR. Studies in Nonlinear Dynamics & Econometrics, 20(4), 399-419.
  • Enders, W., ve Lee, J. (2012). The flexible Fourier form and Dickey–Fuller type unit root tests. Economics Letters, 117(1), 196-199.
  • Ertek, T. (2000). Ekonometriye Giriş, Beta Basım Yayın, İstanbul.
  • Frankel, J. A. (2012). The natural resource curse: A survey of diagnoses and some prescriptions. Commodity price volatility and inclusive growth in low-income countries, 7-34.
  • Gasmi, F., & Laourari, I. (2017). Has Algeria suffered from the Dutch disease? Evidence from 1960-2016 data. Revue d'économie politique, (6), 1029-1058.
  • Granger, C. W. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica: Journal of the Econometric Society, 37(3), 424-438.
  • Gylfason, T. (1984). Lessons from the Dutch disease: causes, treatment, and cures. Oxford Economic Papers, 36(3), Güngör, B., & Yılmaz, Ö. (2008). Finansal piyasalardaki gelişmelerin iktisadi büyüme üzerine etkileri: Türkiye için bir VAR modeli. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 22(1), 173-193.359-380.
  • Hair, J. F. (2010). Multivariate Data Analysis Hair Black Babin Anderson.
  • Halpern, László, and Wyplosz, Charles, “Equilibrium Exchange Rates in Transition Economies,”IMF Working Paper, WP/96/125, November 1996.
  • Hao, L., Ahmad, S., Chang, H. L., & Umar, M. (2021). Knowledge spill-over and institutional quality role in controlling Dutch disease: a case of BRICS countries. Resources Policy, 72, 102114.
  • Ibrahim, N. (2021). Dutch Disease Effects In The Azerbaijan Economy: Results Of Multivariate Linear Ordinary Least Squares (Ols) Estimations. Economic Journal of the Higher School of Economics, 25(2), 309-346.
  • IMF (2022). Market Developments and Food Price Inflation Drivers, https://www.imf.org/-/media/Files/Research/CommodityPrices/WEOSpecialFeature/SFOctober2022.ashx
  • Jafari, Y., Othman, J., Witzke, P., & Jusoh, S. (2017). Risks and opportunities from key importers pushing for sustainability: the case of Indonesian palm oil. Agricultural and Food Economics, 5, 1-16.
  • Johansen, S., 1988, Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12, pp. 231–254
  • Kallner, A. (2017). Laboratory statistics: methods in chemistry and health sciences. Elsevier.
  • Kuralbayeva, K., Kutan, A. M., & Wyzan, M. L. (2001). Is Kazakhstan vulnerable to the Dutch disease? (No. B 29-2001). ZEI working paper.
  • Koitsiwe, K., & Adachi, T. (2015). Australia mining boom and Dutch disease: analysis using VAR method. Procedia Economics and Finance, 30, 401-408.
  • Lorde, T., Jackman, M., & Thomas, C. (2009). The macroeconomic effects of oil price fluctuations on a small open oil-producing country: The case of Trinidad and Tobago. Energy policy, 37(7), 2708-2716.
  • MacKinnon, J.G., Haug, A.A. and Michelis, L. (1999) Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration. Journal of Applied Econometrics, 14, 563-577.
  • Mohammadi, H., & Jahan-Parvar, M. R. (2012). Oil prices and exchange rates in oil-exporting countries: evidence from TAR and M-TAR models. Journal of Economics and Finance, 36, 766-779.
  • Nazlıoğlu, Ş., Görmüş, N. A., ve Soytaş, U. (2016). Oil Prices and Real Estate Investment Trusts (REITs): Gradual-shift Causality and Volatility Transmission Analysis. Energy Economics(60), 168-175.
  • Oomes, N., & Kalcheva, K. (2007). Diagnosing Dutch disease: does Russia have the symptoms?(Vol. 7). International Monetary Fund.
  • Orlowski, L. T. (1997). Exchange rate policies in transforming economies of central Europe. Trade and Payments in Central and Eastern Europe’s Transforming Economies, 123-144.
  • Özsoy, C. (2009). Türkiye’de eğitim ve iktisadi büyüme arasindaki ilişkinin VAR modeli ile analizi. Bilgi Ekonomisi ve Yönetimi Dergisi, 4(1).
  • Øvald, C. B., Callegari, B., & Nybakk, E. (2023). The role of power and future resources in the institutionalisation of the Norwegian oil economy. Energy Research & Social Science, 96, 102930.
  • Pelzl, P., & Poelhekke, S. (2021). Good mine, bad mine: Natural resource heterogeneity and Dutch disease in Indonesia. Journal of International Economics, 131, 103457.
  • Phillips, P. C., & Perron, P. (1988). Testing for a Unit Root in Time Series Regression. Biometrika, 75(2), 335-346.
  • Priyati, R. Y. (2009). Dutch disease economics a case study of Indonesia. Economic Journal of Emerging Markets, 147-164.
  • Rudd, C. D. (1996). An Empirical Analysis of Dutch Disease: Developing and Developed Countries.https://digitalcommons.iwu.edu/cgi/viewcontent.cgi?article=1064&context=econ_honproj
  • Sachs, J. D., & Warner, A. M. (2001). The curse of natural resources. European economic review, 45(4-6), 827-838.
  • Şanlısoy, S., & Yıldız, S. N. (2023). Hollanda Hastalığı: Endonezya-Palm Yağı Örneği. Yönetim ve Ekonomi Dergisi, 30(1), 133-149.
  • Sims, C. A. (1980). Econometrica. Econometrica, 48(1), 1-48.
  • Siregar, C. D. T., & Sihaloho, E. D. (2021). Could palm oil plantation increase individual expenditure? The Dutch disease implication in Indonesia. Signifikan: Jurnal Ilmu Ekonomi, 10(1), 77-92.
  • Shahvari, N. (2022). Do Migrant's Remittance Inflow Affects the Dutch Disease: Evidence from Indonesia. International Journal of Innovation in Management, Economics and Social Sciences, 2(4), 56-64.
  • Taguchi, H., & Khinsamone, S. (2018). Analysis of the ‘dutch disease’effect on the selected resource‐rich asean economies. Asia & the Pacific Policy Studies, 5(2), 249-263.
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COULD INDONESIA BE AT RISK OF DUTCH DISEASE? AN EXAMINATION OF PALM OIL

Yıl 2025, Cilt: 5 Sayı: 2, 43 - 68

Öz

The surge in palm oil production owes to its cost-effectiveness and lack of trans-fatty acids, mirroring a global uptick in consumption across various sectors, including food, non-food industries, and biofuels. Indonesia, as the foremost exporter of this commodity, wields considerable influence over the global palm oil market. However, this dominance raises concerns about the Dutch Disease, a phenomenon explored in economic literature. This study aims to investigate whether palm oil production in Indonesia, through changes in the real exchange rate, has led to the Dutch Disease in the Indonesian economy. The study adopts a model framework originally developed by Kuralbayeva et. al. (2001), which is designed to empirically investigate the Balassa-Samuelson effect. The analysis utilizes monthly data from the period 2009:M01 to 2022:M12, including Indonesia’s real effective exchange rate, terms of trade, palm oil prices, and real wages. By constructing a general VAR model, the study explores the short- and long-term effects of terms of trade, palm oil prices, and real wages on the real effective exchange rate. According to the findings, there is a long-run cointegration among variables. There is Granger causality from real wages to real exchange rate and other variables, and its relationship with terms of trade is not statistically significant. The real exchange rate is less influenced by terms of trade than expected, and although real wages impact it, the evidence is insufficient to confirm Dutch Disease, suggesting balanced sectoral competitiveness and limited effects of palm oil exports.

Kaynakça

  • Agbonlahor, O. (2014). The impact of monetary policy on the economy of the United Kingdom: A Vector Error Correction Model (VECM). European Scientific Journal, 10(16), 19-42.
  • Alagöz, M., & Paksoy, H. (2023). Hollanda Hastalığı: Türk Cumhuriyetleri Örneği. Karamanoğlu Mehmetbey Üniversitesi Sosyal ve Ekonomik Araştırmalar Dergisi, 25(44), 450-463.
  • Aktaş, C., ve Yılmaz, V. (2008). Gümrük Birliği Sonrası Türkiye’nin İhracat Fonksiyonunun Tahmini. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi(13), 89-104.
  • Akyüz, H. E. (2018). Vektör otoregresyon (VAR) modeli ile iklimsel değişkenlerin istatistiksel analizi. International Journal of Engineering Research and Development, 10(2), 183-192.
  • Anderson, T.W., & Darling, D.A. (1954). A test of goodness of fit. Journal of the American Statistical Association, 49(268), 765-769.
  • Asari, F. F. A. H., Baharuddin, N. S., Jusoh, N., Mohamad, Z., Shamsudin, N., & Jusoff, K. (2011). A vector error correction model (VECM) approach in explaining the relationship between interest rate and inflation towards exchange rate volatility in Malaysia. World applied sciences journal, 12(3), 49-56.
  • Banerjee, P., Arčabić, V., ve Lee, H. (2017). Fourier ADL Cointegration Test to Approximate Smooth Breaks with New Evidence from Crude Oil Market. Economic Modelling(67), 114-124.
  • Banerjee, A., Dolado, J., & Mestre, R. (1998). Error‐correction mechanism tests for cointegration in a single‐equation framework. Journal of time series analysis, 19(3), 267-283.
  • Barczikay, T., Biedermann, Z., & Szalai, L. (2020). An investigation of a partial Dutch disease in Botswana. Resources Policy, 67, 101665.
  • Barder, O. M. (2006). A policymakers' guide to Dutch disease. Center for Global Development Working Paper, (91).
  • Becker, R., Enders, W., ve Lee, J. (2006). A Stationary Test in The Presence of an Unknown Number of Smooth Breaks. Journal of Time Series Analysis, 27(3),
  • Biedermann, Z., Barczikay, T., & Szalai, L. (2023). The Dutch Disease in Angola: An Empirical Analysis. Engineering Proceedings, 39(1), 40.
  • BPS-Statistics Indonesia (2022). Indonesia Oil Palm Statistics Report, Nov. 30, 2022. https://www.bps.go.id/en/publication/2022/11/30/254ee6bd32104c00437a4a61/indonesian-oil-palm-statistics-2021.html
  • Brada, J. C. (1998). Introduction: Exchange rates, capital flows, and commercial policies in transition economies. Journal of Comparative economics, 26(4), 613-620.
  • Botta, A. (2015). The macroeconomics of a financial Dutch disease. Levy Economics Institute of Bard College Working Paper, (850).
  • Boussalem, S., & Benterki, A. (2015). The Effect of Dutch Disease on Trade Openness and Foreign Direct Investment in Algeria. Journal of Human Sciences, 57-65.
  • Brinčíková, Z. (2016). The Dutch disease: an overview. European Scientific Journal, 12(10), 95-101.
  • Corden, W. M. & Neary, J. P. (1982). Booming sector and de-industrialisation in a small open economy. The Economic Journal, 92(368), (pp. 825-848) Oxford University Press.
  • Corden W. M. (1984) Booming Sector and Dutch Disease Economics: Survey and Consolidation, Oxford Economic Papers, 36(3), pp. 359-380
  • Dauvergne, P. (2018). The global politics of the business of “sustainable” palm oil. Global Environmental Politics, 18(2), 34-52.
  • De Broeck, M., & Sløk, T. (2001). Interpreting Real Exchange Rate. IMF Working Paper 56.
  • Dibooglu, S., & Kutan, A. M. (2001). Sources of real exchange rate fluctuations in transition economies: the case of Poland and Hungary. Journal of Comparative Economics, 29(2), 257-275.
  • Dickey, D. A., Fuller,W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica 49:1057–1072.
  • Dickey, D. A., ve Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74(366), 427-431.
  • Enders, W., ve Jones, P. (2016). Grain Prices, Oil Prices, and Multiple Smooth Breaks in a VAR. Studies in Nonlinear Dynamics & Econometrics, 20(4), 399-419.
  • Enders, W., ve Lee, J. (2012). The flexible Fourier form and Dickey–Fuller type unit root tests. Economics Letters, 117(1), 196-199.
  • Ertek, T. (2000). Ekonometriye Giriş, Beta Basım Yayın, İstanbul.
  • Frankel, J. A. (2012). The natural resource curse: A survey of diagnoses and some prescriptions. Commodity price volatility and inclusive growth in low-income countries, 7-34.
  • Gasmi, F., & Laourari, I. (2017). Has Algeria suffered from the Dutch disease? Evidence from 1960-2016 data. Revue d'économie politique, (6), 1029-1058.
  • Granger, C. W. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica: Journal of the Econometric Society, 37(3), 424-438.
  • Gylfason, T. (1984). Lessons from the Dutch disease: causes, treatment, and cures. Oxford Economic Papers, 36(3), Güngör, B., & Yılmaz, Ö. (2008). Finansal piyasalardaki gelişmelerin iktisadi büyüme üzerine etkileri: Türkiye için bir VAR modeli. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 22(1), 173-193.359-380.
  • Hair, J. F. (2010). Multivariate Data Analysis Hair Black Babin Anderson.
  • Halpern, László, and Wyplosz, Charles, “Equilibrium Exchange Rates in Transition Economies,”IMF Working Paper, WP/96/125, November 1996.
  • Hao, L., Ahmad, S., Chang, H. L., & Umar, M. (2021). Knowledge spill-over and institutional quality role in controlling Dutch disease: a case of BRICS countries. Resources Policy, 72, 102114.
  • Ibrahim, N. (2021). Dutch Disease Effects In The Azerbaijan Economy: Results Of Multivariate Linear Ordinary Least Squares (Ols) Estimations. Economic Journal of the Higher School of Economics, 25(2), 309-346.
  • IMF (2022). Market Developments and Food Price Inflation Drivers, https://www.imf.org/-/media/Files/Research/CommodityPrices/WEOSpecialFeature/SFOctober2022.ashx
  • Jafari, Y., Othman, J., Witzke, P., & Jusoh, S. (2017). Risks and opportunities from key importers pushing for sustainability: the case of Indonesian palm oil. Agricultural and Food Economics, 5, 1-16.
  • Johansen, S., 1988, Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12, pp. 231–254
  • Kallner, A. (2017). Laboratory statistics: methods in chemistry and health sciences. Elsevier.
  • Kuralbayeva, K., Kutan, A. M., & Wyzan, M. L. (2001). Is Kazakhstan vulnerable to the Dutch disease? (No. B 29-2001). ZEI working paper.
  • Koitsiwe, K., & Adachi, T. (2015). Australia mining boom and Dutch disease: analysis using VAR method. Procedia Economics and Finance, 30, 401-408.
  • Lorde, T., Jackman, M., & Thomas, C. (2009). The macroeconomic effects of oil price fluctuations on a small open oil-producing country: The case of Trinidad and Tobago. Energy policy, 37(7), 2708-2716.
  • MacKinnon, J.G., Haug, A.A. and Michelis, L. (1999) Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration. Journal of Applied Econometrics, 14, 563-577.
  • Mohammadi, H., & Jahan-Parvar, M. R. (2012). Oil prices and exchange rates in oil-exporting countries: evidence from TAR and M-TAR models. Journal of Economics and Finance, 36, 766-779.
  • Nazlıoğlu, Ş., Görmüş, N. A., ve Soytaş, U. (2016). Oil Prices and Real Estate Investment Trusts (REITs): Gradual-shift Causality and Volatility Transmission Analysis. Energy Economics(60), 168-175.
  • Oomes, N., & Kalcheva, K. (2007). Diagnosing Dutch disease: does Russia have the symptoms?(Vol. 7). International Monetary Fund.
  • Orlowski, L. T. (1997). Exchange rate policies in transforming economies of central Europe. Trade and Payments in Central and Eastern Europe’s Transforming Economies, 123-144.
  • Özsoy, C. (2009). Türkiye’de eğitim ve iktisadi büyüme arasindaki ilişkinin VAR modeli ile analizi. Bilgi Ekonomisi ve Yönetimi Dergisi, 4(1).
  • Øvald, C. B., Callegari, B., & Nybakk, E. (2023). The role of power and future resources in the institutionalisation of the Norwegian oil economy. Energy Research & Social Science, 96, 102930.
  • Pelzl, P., & Poelhekke, S. (2021). Good mine, bad mine: Natural resource heterogeneity and Dutch disease in Indonesia. Journal of International Economics, 131, 103457.
  • Phillips, P. C., & Perron, P. (1988). Testing for a Unit Root in Time Series Regression. Biometrika, 75(2), 335-346.
  • Priyati, R. Y. (2009). Dutch disease economics a case study of Indonesia. Economic Journal of Emerging Markets, 147-164.
  • Rudd, C. D. (1996). An Empirical Analysis of Dutch Disease: Developing and Developed Countries.https://digitalcommons.iwu.edu/cgi/viewcontent.cgi?article=1064&context=econ_honproj
  • Sachs, J. D., & Warner, A. M. (2001). The curse of natural resources. European economic review, 45(4-6), 827-838.
  • Şanlısoy, S., & Yıldız, S. N. (2023). Hollanda Hastalığı: Endonezya-Palm Yağı Örneği. Yönetim ve Ekonomi Dergisi, 30(1), 133-149.
  • Sims, C. A. (1980). Econometrica. Econometrica, 48(1), 1-48.
  • Siregar, C. D. T., & Sihaloho, E. D. (2021). Could palm oil plantation increase individual expenditure? The Dutch disease implication in Indonesia. Signifikan: Jurnal Ilmu Ekonomi, 10(1), 77-92.
  • Shahvari, N. (2022). Do Migrant's Remittance Inflow Affects the Dutch Disease: Evidence from Indonesia. International Journal of Innovation in Management, Economics and Social Sciences, 2(4), 56-64.
  • Taguchi, H., & Khinsamone, S. (2018). Analysis of the ‘dutch disease’effect on the selected resource‐rich asean economies. Asia & the Pacific Policy Studies, 5(2), 249-263.
  • Tarı, R. (2006). Ekonometri, Avcı Ofset, İstanbul
  • Teng, S., Khong, K. W., & Ha, N. C. (2020). Palm oil and its environmental impacts: A big data analytics study. Journal of Cleaner Production, 274, 122901.
  • Toda, H. Y., ve Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250.
  • Uddin, M. B., & Murshed, S. M. (2017). International transfers and Dutch Disease: evidence from South Asian countries. Journal of the Asia Pacific Economy, 22(3), 486-509.
  • Udemba, E. N., & Yalçıntaş, S. (2022). Unveiling the symptoms of Dutch disease: A comparative and sustainable analysis of two oil-rich countries. Resources Policy, 79, 102949.
  • Usui, N. (1996). Policy adjustments to the oil boom and their evaluation: the Dutch disease in Indonesia. World Development, 24(5), 887-900.
  • Yardımcıoğlu, F., & Gülmez, A. (2013). OPEC ülkelerinde Hollanda Hastalığı: Petrol fiyatları ve ekonomik büyüme ilişkisinin ekonometrik bir analizi. Sosyoekonomi, 19(19).
  • Yılancı, V. (2017). Petrol Fiyatları ile Ekonomik Büyüme Arasındaki İlişkinin İncelenmesi: Fourier Yaklaşımı. Ekonometri ve İstatistik(27), 51-67.
  • Yılancı, V., & Pata, U. K. (2020). Investigating the EKC hypothesis for China: the role of economic complexity on ecological footprint. Environmental Science and Pollution Research, 27(26), 32683-32694.
  • Yılancı, V., Bozoklu, S., & Görüş, M. S. (2020). Are BRICS countries pollution havens? Evidence from a bootstrap ARDL bounds testing approach with a Fourier function. Sustainable Cities and Society, 55, 102035.
  • Zubikova, A. (2018). Curse or blessing: economic growth and natural resources (Comparison of the Development of Botswana, Canada, Nigeria and Norway in the Early 21st Century). Agricultural and resource economics: international scientific e-journal, 4(1), 20-41.
  • UNDP (2025). Indonesia: Sustainable Palm Oil, UNDP Web Site, 22.02.2025, https://www.undp.org/foodsystems/indonesia-sustainable-palm-oil
  • USDA (2025). Production-Palm Oil, Foreign Agricultural Service of U.S. Web Site, 29.05.2025, https://www.fas.usda.gov/data/production/commodity/4243000
Toplam 72 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Dış Ticaret, Uluslararası İktisat (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Engin Dursun 0000-0002-4340-2275

Najibul Kashem 0000-0003-1713-1042

Erken Görünüm Tarihi 18 Ekim 2025
Yayımlanma Tarihi 18 Ekim 2025
Gönderilme Tarihi 24 Haziran 2025
Kabul Tarihi 15 Ağustos 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 5 Sayı: 2

Kaynak Göster

APA Dursun, E., & Kashem, N. (2025). COULD INDONESIA BE AT RISK OF DUTCH DISEASE? AN EXAMINATION OF PALM OIL. Uluslararası İktisadi ve İdari Akademik Araştırmalar Dergisi, 5(2), 43-68.