Unraveling the Interplay among Inflation, Rice Prices, and Farmers Terms of Trade in Central Java, Indonesia

https://doi.org/10.22146/ae.86078

Avi Budi Setiawan(1*), Mochammad Yusuf(2), Sucihatiningsih Dian Wisika Prajanti(3), Farhan Hadi Prasetyo(4), Prasetyo Ari Bowo(5), Ida Maftukhah(6)

(1) Faculty of Economics and Business, Universitas Negeri Semarang- Indonesia
(2) Faculty of Economics and Business, Universitas Negeri Semarang- Indonesia
(3) Faculty of Economics and Business, Universitas Negeri Semarang-Indonesia
(4) Faculty of Economics and Business, Universitas Negeri Semarang-Indonesia
(5) Faculty of Economics and Business, Universitas Negeri Semarang-Indonesia
(6) Faculty of Economics and Business, Universitas Negeri Semarang-Indonesia
(*) Corresponding Author

Abstract


Farmers' Terms of Trade is an essential variable for measuring welfare and is also affected by other factors, such as inflation and rice prices. Therefore, this study aimed to investigate the interplay among inflation, rice prices, and farmers' Terms of Trade in food crop farming in Central Java Province, in short and long term using a dynamic model. A quantitative method employing Autoregressive distributed lags (ARDL) model was used with monthly data from January 2018 to March 2023. The results showed that rice prices and inflation partially had a significant and positive influence on farmers’ Terms of Trade in long term. According to short term estimation, the dependent variable was significantly and positively influenced by farmers' Terms of Trade from the previous 1-2 months. Inflation rate was also shown to have a positive influence on the variable in short term. In addition, rice prices had a positive and significant impact in the previous 3 months, but had no significant influence in recent months. Based on the results, inflation could positively influence farmers’ Terms of Trade in short and long term. However, the recent rice prices had no impact due to the requirement of time lags. The assessment findings showed that recent rice prices could significantly increase farmers’ Terms of Trade in the next 3 months and long term period.

 


Keywords


ARDL, farmers' Terms of Trade, inflation, long-run, rice price , short-run

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References

Annisa, A., Saputri, B. G. D., Asmara, R.,Fahriyah, F., & Hanani, N. (2022). Analysis of Household Income and Food Security of Watermelon Farmers During the Covid-19 Pandemic in Lamongan Regency. Agro Ekonomi, 33(2), 91-100.

Anindita, R., & Setiawan, B. (2014). Impact of The Rising Rice Prices On Indonesian Economy. Journal of Economics and Sustainable Development, 5(2), 2222–1700. www.iiste.org

Barrett, C. B., & Dorosh, P. A. (1996). Farmers’ Welfare and Changing Food Prices: Nonparametric Evidence from Rice in Madagascar. American Journal of Agricultural Economics, 78(3), 656–669. https://doi.org/10.2307/1243283

Cameron, N. (1980). Food Price Increases and Inflation. Canadian Public Policy / Analyse de Politiques, 6(2), 300. https://doi.org/10.2307/3549999

Cho, J. S., Kim, T. H., & Shin, Y. (2015). Quantile cointegration in the autoregressive distributed-lag modeling framework. Journal of Econometrics, 188(1), 281–300. https://doi.org/10.1016/j.jeconom.2015.05.003

Cororaton, C. B. (2004). Rice Reforms and Poverty in the Philippines : A CGE Analysis. ADB Institute Research Paper Series, 57.

Enders, W. (2004). Applied Econometric Time Series (4th Editio). John Willey & Sony Inc.

Gerrard, W. J., & Godfrey, L. G. (1998). Diagnostic checks for single-equation error-correction and autoregressive distributed lag models. Manchester School, 66(2), 222–237. https://doi.org/10.1111/1467-9957.00098

Girik, A., Satiawan, E., & Arsyad, L. A. (2019). the Impact of Rising Food Prices on Farmers’ Welfare in Indonesia. Journal of Indonesian Economy and Business, 33(3), 193. https://doi.org/10.22146/jieb.17303

Hani, E. S., Udhi, R., Soejono, D., & Subroto, G. (2023). Welfare of Paddy Farmers and the Influence of Paddy Prices on Rice Prices in Lumajang. Agricultural Economics (United Kingdom), 1(2), 245–251. https://doi.org/10.2991/978-94-6463-138-8

Haris, S. (2009). The Impact of Rice Trade Liberalization on Farmers and Food Security : the Case of Indonesia. Agricultural Economics (United Kingdom), 3(4).

Hassler, U., & Wolters, J. (2006). Autoregressive distributed lag models and cointegration. Modern Econometric Analysis: Surveys on Recent Developments, 57–72. https://doi.org/10.1007/3-540-32693-6_5

Hermawan, W., Fitrawaty, F., & Maipita, I. (2017). Factors Affecting the Domestic Price of Rice in Indonesia. Jejak, 10(1), 155–171. https://doi.org/10.15294/jejak.v10i1.9133

Hunter, A. (2019). Non-linear Autoregressive Distributed Lag Model Approach and the J-Curve Phenomenon : China and Her Major Trading Partners. Major Themes in Economics, 21, 1–13.

Jayadi. (2012). The Dynamic Analysis of Inflation Rate and Farmers ’ Welfare for Rural Poverty Reduction in Indonesia. International Instutute of Social Studies, August.

Johansen, S., & Juselius, K. (1990). Maximum Likelihood Estimation and Inference on Cointegration — With Applications To the Demand for Money. Oxford Bulletin of Economics and Statistics, 52(2), 169–210. https://doi.org/10.1111/j.1468-0084.1990.mp52002003.x

Lee, J. E. (1980). Inflation, Agricultural Output, and Productivity: Discussion. American Journal of Agricultural Economics, 62(5), 924–926. https://doi.org/10.2307/1240285

Makbul, Y., Limakrisna, N., Faoziyah, U., Ratnaningtyas, S., & Rochana, S. H. (2020). Impacts of rice prices on farm revenue: Evidence from Indonesia. International Journal of Advanced Science and Technology, 29(7 Special Issue), 565–573.

Makbul, Y., Limakrisna, N., Ratnaningtyas, S., & Cokrowitianto, A. (2021). Do Poor Paddy Farmers Benefit from Increasing Rice Prices? International Journal of Supply Chain Management, 10(2), 116–120. http://ojs.excelingtech.co.uk/index.php/IJSCM/article/view/5866/3019

Mariyono, J. (2017). Article Title Page Productivity Growth of Indonesian Rice Production : Sources and Efforts to Improve. International Journal of Productivity and Performance Management, 4(2). https://doi.org/https://doi.org/10.1108/IJPPM-10-2017-0265 Permanent

McCalla, A. F. (2009). World food prices: Causes and consequences. Canadian Journal of Agricultural Economics, 57(1), 23–34. https://doi.org/10.1111/j.1744-7976.2008.01136.x

McCulloch, N. (2008). Rice prices and poverty in Indonesia. Bulletin of Indonesian Economic Studies, 44(1), 45–64. https://doi.org/10.1080/00074910802001579

Ministry of Agriculture. (2021). Outlook Komoditas Pertanian Tanaman Pangan Indonesia.

Monke, J., Bracmort, K., Stubbs, M., & Hoover, K. (2022). Inflation Reduction Act: Agricultural Conservation and Credit, Renewable Energy, and Forestry. Congressional Research Service, 10(1). https://crsreports.congress.gov/product/pdf/IN/IN11978

Nkoro, E., & Uko, A. K. (2016). Autoregressive Distributed Lag (ARDL) cointegration technique: application and interpretation. Journal of Statistical and Econometric Methods, 5(4), 63–91.

Nurhab, M. I. (2022). The influence of Inflation, Trade, and Farmers Exchange Rate on Economic Growth in Lampung Province. Jurnal Saintific: Multi Science Journal, 20(3), 233–242.

Pesaran, M. H. (2004). General Diagnostic Tests for Cross Section Dependence in Panels. Cambridge University Press.

Pesaran, M. H. (2006). Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure. Econometrica, 74(4), 967–1012.

Pesaran, M. H., & Shin, Y. (1995). An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis. Econometrics and Economic Theory in the 20th Century, 371–413. https://doi.org/10.1017/ccol521633230.011

Prabayanti, H. (2022). Determinan Ketahanan Pangan di Provinsi Jawa Tengah. Jurnal Pangan, 31(3). https://doi.org/10.33964/jp.v31i3.629

Ramadhan, A. (2023). The Effect of Rice Crop Production and Farmer Exchange Rate on Farmers ’ Income In Medan Krio Village. The 1st Proceeding of The International Conference on Business and Economics, 1(1), 236–242.

Ramadhanu, R., Ginting, R., & Ayu, S. F. (2021). Analysis of factors affecting farmer exchange rate in North Sumatera Province. IOP Conference Series: Earth and Environmental Science, 782(2), 0–6. https://doi.org/10.1088/1755-1315/782/2/022050

Ruspayandi, T., Bantacut, T., Arifin, B., & Fahmi, I. (2022). Market-Approach-Based Policy to Achieve Rice Price Stability in Indonesia—Can It Be a Complement? Economies, 10(12), 1–19. https://doi.org/10.3390/economies10120296

Sayeed, K. A., & Yunus, M. M. (2018). Rice prices and growth, and poverty reduction in Bangladesh. In Food and Agriculture Organization of the United … (Vol. 45). https://www.fao.org/3/i8332en/i8332en.pdf

Setiartiti, L. (2021). Critical Point of View: The Challenges of Agricultural Sector on Governance and Food Security in Indonesia. E3S Web of Conferences, 232. https://doi.org/10.1051/e3sconf/202123201034

Setiyowati, I. L., Sasongko, S., & Noor, I. (2018). Farmer Exchange Rate and Agricultural Land Conversion Analysis to Agricultural Sector Poverty in Indonesia. Jurnal Ekonomi Dan Studi Pembangunan, 10(1), 35–43. https://doi.org/10.17977/um002v10i12018p035

Tupamahu, M. K., Hanoeboen, B. R., & Rijoly, J. C. D. (2021). the Effect of Inflation and Economic Structure Changes on Farmer Exchange Value (Ntp) in Eastern Indonesia. Jurnal Cita Ekonomika, 15(1), 33–42. https://doi.org/10.51125/citaekonomika.v15i1.3491

Wibowo, B. (2019). Bank Loan, Inflation, and Farmers Welfare: Data Analysis By Province in Indonesia. Asian Development Policy Review, 7(1), 23–30. https://doi.org/10.18488/journal.107.2019.71.23.30

Woertz, E., Soler, E., & Farrés, O. (2014). The Impact of Food Price Volatility and Food Inflation on Southern and Eastern Mediterranean Countries. Barcelona Centre for International Affairs, 2(October), 1–9.

Wulandari, D., Narmaditya, B. S., Prayitno, P. H., Ishak, S., Sahid, S., & Qodri, L. A. (2020). Nexus between Production Input and Price Commodity: An Integration Analysis of Rice Barns in East Java of Indonesia. Journal of Asian Finance, Economics and Business, 7(10), 451–459. https://doi.org/10.13106/jafeb.2020.vol7.no10.451

Yasin, M., & Amin, M. (2021). The Impact of Farmer Exchange Rate on Inflation During Covid 19 in Indonesia. International Journal of Multicultural and Multireligious …, 780–788. http://ijmmu.com/index.php/ijmmu/article/view/2647



DOI: https://doi.org/10.22146/ae.86078

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