PROYEKSI EKSPOR DAN IMPOR INDONESIA: SUATU PENDEKATAN VECTOR AUTOREGRESSIVE

  • Aditya Paramita Alhayat Kementerian Perdagangan
  • Azis Muslim Kementerian Perdagangan
DOI: https://doi.org/10.30908/bilp.v10i1.32
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Keywords: Proyeksi, Ekspor, Impor, VAR, Projection, Export, Import

Abstract

Proyeksi ekspor dan impor Indonesia memiliki urgensi penting sebagai salah satu acuan untuk merumuskan target pertumbuhan ekonomi nasional dalam Rencana Pembangunan Jangka Menengah Nasional (RPJMN). Penelitian ini bertujuan untuk menyusun proyeksi ekspor dan impor nasional periode 2015-2019 yang dilihat berdasarkan sektor migas dan non migas. Dengan mempertimbangkan berbagai aspek ekonomi eksternal, Vector Autoregression (VAR) digunakan untuk memberikan perkiraan besaran petumbuhan ekspor dan impor di masa mendatang. Hasil penelitian menunjukkan bahwa di masa datang pertumbuhan ekspor Indonesia masih dipengaruhi oleh Produk Domestik Bruto negara-negara mitra utama sedangkan impor lebih dipengaruhi oleh beberapa faktor ekonomi domestik. Hasil proyeksi VAR menunjukkan bahwa ekspor nasional pada 2015 turun sebesar 10,65% dan meningkat sebesar 1,06% di tahun 2019, sedangkan impor nasional tahun 2015 turun sebesar 10,02% dan meningkat sebesar 12,11% di tahun 2019. Apabila pemerintah ingin menetapkan target ekspor lebih tinggi dari angka tersebut, maka usaha peningkatan ekspor harus ditopang dengan perbaikan sisi penawaran, dan target impor yang lebih rendah dapat dicapai dengan pengetatan konsumsi migas.

 

Export and import projection is one of the important activities to determine the target of economic growth in the National Medium-Term Development Plan (NMTDP). This study aims to set out the projections of national exports and imports during 2015-2019 according to oil and non-oil sectors. By considering some external factors, Vector Autoregression (VAR) is utilized to forecast the future growth of export and import. The results showed that the future growth of Indonesia’s export was determined by Gross Domestic Product of trading partners, while the Indonesia’s import was influenced by domestic economic factors. The national export in 2015 was projected to decline by 10.65% and to increase by 1.06% in 2019, while the national import was projected to decline by 10.02% in 2015 and increase by 12.11% in 2019. If the government intends to set the export target higher than the projection, the improvement on the supply side must be considered. Moreover, the lower import target could be achieved by tightening the oil and gas consumption.

Author Biographies

Aditya Paramita Alhayat, Kementerian Perdagangan
Pusat Pengkajian Perdagangan Luar Negeri, Badan Pengkajian dan Pengembangan Perdagangan
Azis Muslim, Kementerian Perdagangan
Pusat Pengkajian Perdagangan Luar Negeri, Badan Pengkajian dan Pengembangan Perdagangan

References

Badan Pusat Statistik. (2015). Data Ekspor Impor. Diunduh tanggal 9 November 2015 dari http://www.bps.go.id/all_newtemplate.php#accordion-daftar-subjek2

Bappenas. (2010). Buku Rencana Pembangunan Jangka Menengah Nasional 2010 – 2014. Jakarta: Bappenas.

BI. (2013). Laporan Perekonomian Indonesia Tahun 2012. Jakarta.

BI. (2014). Laporan Perekonomian Indonesia Tahun 2013. Jakarta.

Chani, M. F., Z. Pervaiz, Z. dan A.R. Chaudhary. (2011). Determination of Import Demand in Pakistan: The Role of Expenditure Components. Theoritical and Applied Economics Volume XVIII, No. 8 (561), pp 93-110.

Enders, W. (2008). Applied Econometric Time Series. John Wiley & Sons.

Gujarati, D. N. (2004). Basic econometrics. Tata McGraw-Hill Education.

Hameed, A. A. A., & F.M. Arshad. (2012). An Empirical Analysis of the Import Demand for Palm Oil in the Five Leading Importing Countries. International Review of Business Research Papers, 8(7), 94-103.

Hill, R. C., Griffiths, W. E., dan Lim, G. C. (2012). Principles of Econometrics. Fourth Edition, International Student Version. New York: John Wiley and Sons.

Khan, T. (2011). Identifying an Appropriate Forecasting Model for Forecasting Total Import of Bangladesh. International Journal of Trade, Economics and Finance, Vol.2, No.3

Koop, G. M. (2013). Forecasting with medium and large Bayesian VARs. Journal of Applied Econometrics, 28(2), 177–203.

Korobilis, D. (2013). VAR forecasting using Bayesian variable selection. Journal of Applied Econometrics, 28(2), 204–230

Lipsey et all. (1995). Pengantar Mikroekonomi. Jilid 2. Jaka Wasana dan Kirbrandoko [Penerjemah] Binarupa Aksara, Jakarta.

Moniruzzaman, M., M.M. Toy, dan A.B.M. R. Hassan. (2011). The Export Supply Model of Bangladesh: An Application of Cointegration and Vector Error Correction Approaches. International Journal of Economics and Financial Issues, 1(4), 163–171.

Nachrowi, D. dan H. Usman. (2006). Pendekatan Populer dan Praktis Ekonometrika untuk Analisis Ekonomi dan Keuangan. Jakarta: Lembaga Penerbit Fakultas Ekonomi Universitas Indonesia.

Pindyck, R. S., dan D.L. Rubinfeld. (1998). Econometric models and economic forecasts (Vol. 4). Boston: Irwin/McGraw-Hill.

Rahmaddi, R., dan M. Ichihashi. (2012). How Do Foreign and Domestic Demand Affect Exports Performance? An Econometric Investigation of Indonesia’s Exports. Modern Economy,2012, 3, 32-42.

Siddique, M.A.B. (1997). Estimation of an Import Demand Function for Indonesia: 1971-93. International Congress on Modelling and Simulation 97, Perth, 3, pp. 1361-1366

Tokarick, S. (2014). A method for calculating export supply and import demand elasticities. The Journal of International Trade & Economic Development, 23(7), 1059-1087

Tokuo, I. dan N. Hayato. (2015). Impact of Exchange Rate Shocks on Japanese Exports: Quantitative assessment using a structural VAR model. Research Institute of Economy, Trade and Industry (RIETI) Discussion Paper Series No. 15-E-029. Diunduh tanggal 10 November 2015 dari http://www.rieti.go.jp/jp/publications/dp/15e029.pdf

Wahyuli, A. (2007). Analisis VAR (Vector Autoregressive) untuk Mekanisme Pemodelan Produksi, Konsumsi, Ekspor, Impor, dan Harga Minyak Bumi. Skripsi. Departemen Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor. Diunduh tanggal 10 November 2015 dari http://repository.ipb.ac.id/handle/123456789/33078

Published
2016-07-31
How to Cite
Alhayat, A. P., & Muslim, A. (2016). PROYEKSI EKSPOR DAN IMPOR INDONESIA: SUATU PENDEKATAN VECTOR AUTOREGRESSIVE. Buletin Ilmiah Litbang Perdagangan, 10(1), 87-102. https://doi.org/10.30908/bilp.v10i1.32
Section
Articles