Palm oil is a superior product from Indonesia that is continuously and widely used for daily needs such as cooking, grooming, and manufacturing. However, this potential must be supported by oil palm business actors' performance to maintain its intensity and competitiveness. This study investigates how various factors affect Indonesia's crude palm oil (CPO) export intensity and competitiveness by employing panel regression and the basic gravity model. The panel data used here is a 20-year time series with cross-sections from five major importers from 1999 to 2018. The results show that the importer's gross domestic product (GDP) and quantity of export significantly and positively affect Indonesia's CPO export intensity, while the exporter's GDP and economic distance has a significant and negative effect. The factors that positively and significantly influence competitiveness are soybean's import value and Roundtable on Sustainable Palm Oil (RSPO) certification, while Malaysian CPO's export and population of importing countries negatively affect Indonesian CPO competitiveness.
Balassa B. (1965): Trade liberalisation and revealed comparative advantage. The Manchester School of Economic and Social Studies, 33: 99–123. https://doi.org/10.1111/j.1467-9957.1965.tb00050.x
Balogh J.M., Leitão N.C. (2019): A gravity approach of agricultural trade: The nexus of the EU and African, Caribbean and Pacific countries. Agricultural Economics – Czech, 65: 509–519. https://doi.org/10.17221/131/2019-AGRICECON
Baltagi B.H. (2005): Econometric Analysis of Panel Data. 3rd Ed. West Sussex, England, John Wiley & Sons: 53–59.
Bergstrand J.H. (1989): The generalized gravity equation, monopolistic competition, and the factor-proportions theory in international trade. The Review of Economics and Statistics, 71: 143–153. https://doi.org/10.2307/1928061
Boehe D.M., Qian G., Peng M.W. (2016): Export intensity, scope, and destinations: Evidence from Brazil. Industrial Marketing Management, 57: 127–138. https://doi.org/10.1016/j.indmarman.2016.01.006
CEPII (2020): Geodist Dataset. [Dataset]. The Centre d'Études Prospectives et d'Informations Internationales. Available at http://www.cepii.fr/CEPII/en/bdd_modele/presentation.asp?id=6 (accessed Mar, 2020).
Eor M.K. (2004): Analysis of the factor endowments and agricultural trade for economic cooperation in Northeast Asia. East Asian Economic Review, 8: 143–167. https://doi.org/10.11644/KIEP.JEAI.2004.8.1.118
Hofmann P. (2013): The Impact of International Trade and FDI on Economic Growth and Technological Change. Heidelberg, Germany, Physica-Verlag: 235–256.
Jambor A., Balogh J., Kucsera P. (2016): Country and industry specific determinants of intra-industry agri-food trade in the Baltic countries. Agricultural Economics – Czech, 62: 280–291. https://doi.org/10.17221/153/2015-AGRICECON
Kiganda E. (2017): Analysis of the relationship between trade openness and economic growth in Kenya. Journal of Economics and Sustainable Development, 8: 121–137.
Li K., Song L., Xingjun Z. (2008): Component trade and China's global economic integration. In: Santos-Paulino A.U., Wan G. (eds.): The Rise of China and India. London, United Kingdom, Palgrave Macmillan: 241–261.
Mehchy Z., Nasser R., Schiffbauer M. (2015): Trade determinants and potential of Syria: Using a gravity model 'with an estimation of the Syrian crisis' impact on exports'. Middle East Development Journal, 7: 226–251. https://doi.org/10.1080/17938120.2015.1072699
Morgans C.L., Meijaard E., Santika T., Law E., Budiharta S., Ancrenaz M., Wilson K.A. (2018): Evaluating the effectiveness of palm oil certification in delivering multiple sustainability objectives. Environmental Research Letters, 13: 2–12. https://doi.org/10.1088/1748-9326/aac6f4
Ostfeld R., Howarth D., Reiner D., Krasny P. (2019): Peeling back the label – Exploring sustainable palm oil ecolabelling and consumption in the United Kingdom. Environmental Research Letters, 14: 1–9. https://doi.org/10.1088/1748-9326/aaf0e4
Rifin A., Feryanto, Herawati, Harianto (2020): Assessing the impact of limiting Indonesian palm oil exports to the European Union. Journal of Economic Structures, 9: 1–13. https://doi.org/10.1186/s40008-020-00202-8
Rosyadi F.H., Darwanto D.H., Mulyo J.H. (2020): Impact of Roundtable on Sustainable Palm Oil (RSPO) certification on the Indonesian CPO exports to the destination countries. Agro Ekonomi, 31: 30–45. https://doi.org/10.22146/ae.54559
RSPO (2020): Members Dataset. [Dataset]. Roundtable on Sustainable Palm Oil. Available at https://rspo.org/members/search-for-members (accessed Mar, 2020).
Simo D., Mura L., Buleca J. (2016): Assessment of milk production competitiveness of the Slovak Republic within the EU-27 countries. Agricultural Economics – Czech, 62: 482–492. https://doi.org/10.17221/270/2015-AGRICECON
The World Bank (2020): Economy and Growth Indicator. [Dataset]. The World Bank. Available at https://data.worldbank.org/indicator/NY.GDP.MKTP.CD (accessed Mar, 2020).
Tinbergen J. (1962): Shaping the World Economy: Suggestions for an International Economic Policy. New York, USA, Twentieth Century Fund: 27–30.
Torok A., Jambor A. (2016): Determinants of the revealed comparative advantages: The case of the European ham trade. Agricultural Economics – Czech, 62: 471–481. https://doi.org/10.17221/177/2015-AGRICECON
UN Comtrade (2020): Commodity Statistitic. [Dataset]. UN Comtrade. Available at https://comtrade.un.org/data/ (accessed Mar, 2020).
USDA (2020): United States Department of Agriculture PSD Database. Agricultural Production, Supply, and Distribution. [Dataset]. United States Department of Agriculture. Available at https://www.indexmundi.com/agriculture/?country=id&commodity=palm-oil (accessed Mar, 2020).
Yang S., Martinez-Zarzoso I. (2014): A panel data analysis of trade creation and trade diversion effects: The case of ASEAN – China Free Trade Area. China Economic Review, 29: 138–151. https://doi.org/10.1016/j.chieco.2014.04.002
Zhang H.Y., Xi W.W., Ji Q., Zhang Q. (2018): Exploring the driving factors of global LNG trade flows using gravity modelling. Journal of Cleaner Production, 172: 508–515. https://doi.org/10.1016/j.jclepro.2017.10.244