Does the Sleman Chili Auction Market Affect the Local, Regional and National Market Prices in Indonesia?
Abstract
Promoting the horticultural auction market as an alternative outlet is becoming more popular. The horticultural auction market has some benefits, such as reducing price volatility and controlling inflation. This research used a case study in Sleman Regency, which established a horticultural auction market to manage volatile chili prices. The daily price data with ECM-GARCH analysis was used to investigate market integration between the Sleman chili auction market and other markets. The result showed that the Sleman auction market had a beneficial impact on the price decline in the local markets. This impact indicated that the auction market controls inflation at the regional level. However, only 5% to 13% of daily variations of the long-term equilibrium of the auction market to other markets were adjusted. There was information efficiency of the chili prices in Indonesia based on the GARCH model. This study proves that auction markets promote control of macro inflation. This study was the first to manage horticultural product price risk from a chili auction market perspective. Moreover, the model applied in this study expands the ECM-GARCH model to improve the validity of an ECM's significance tests and the efficiency of standard ECM parameter estimation.
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Abbas, S. K., & Lan, H. (2020). Commodity price pass-through and inflation regimes. Energy Economics, 92, 104977. https://doi.org/10.1016/j.eneco.2020.104977
Akhter, S. (2017). Market integration between surplus and deficit rice markets during global food crisis period. Australian Journal of Agricultural and Resource Economics, 61(1), 172–188. https://doi.org/10.1111/1467-8489.12150
Arnade, C., Cooke, B., & Gale, F. (2017). Agricultural price transmission: China relationships with world commodity markets. Journal of Commodity Markets, 7(July), 28–40. https://doi.org/10.1016/j.jcomm.2017.07.001
Baquedano, F. G., & Liefert, W. M. (2014). Market integration and price transmission in consumer markets of developing countries. Food Policy, 44, 103–114. https://doi.org/10.1016/j.foodpol.2013.11.001
Bergefurd, B. R. (2011). Assessing Extension Needs of Ohio’s Amish and Mennonite Produce Auction Farmers [The Ohio State University]. https://etd.ohiolink.edu/apexprod/rws_etd/send_file/send?accession=osu1313512162&disposition=attachment
Bhattacharya, R., & Jain, R. (2020). Can monetary policy stabilise food inflation? Evidence from advanced and emerging economies. Economic Modelling, 89(July 2018), 122–141. https://doi.org/10.1016/j.econmod.2019.10.005
Bhattacharya, R., Jain, R., & Singh, A. (2019). Measuring the contribution of mark-up shock in food inflation in India. IIMB Management Review, 31(2), 167–181. https://doi.org/10.1016/j.iimb.2019.03.015
Bohl, M. T., & Sulewski, C. (2019). The impact of long-short speculators on the volatility of agricultural commodity futures prices. Journal of Commodity Markets, 16(October 2017), 100085. https://doi.org/10.1016/j.jcomm.2019.01.001
Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. https://doi.org/10.1016/0304-4076(86)90063-1
Bórawski, P., Belłdycka-Borawska, A., & Dunn, J. W. (2018). Price volatility of Polish agricultural commodities in the view of the Common Agricultural Policy. Agricultural Economics (Zemědělská Ekonomika), 64(No. 5), 216–226. https://doi.org/10.17221/138/2016-AGRICECON
BPS-Statistics Indonesia. (2020). Trade Distribution of Red Chili Pepper in Indonesia 2020. https://www.bps.go.id/publication.html
BPS-Statistics Indonesia. (2021a). Farmer’s Terms of Trade Statistics 2021. https://www.bps.go.id/publication.html
BPS-Statistics Indonesia. (2021b). Indonesian Economic Report, 2021. In BPS-Statistics Indonesia. https://www.bps.go.id/publication.html
Brooks, C. (2008). Introductory Econometrics for Finance (Vol. 1999, Issue December). Cambridge University Press. https://doi.org/10.1017/CBO9780511841644
Dewi, Y. M., Nugroho, A. D., & Jamhari, J. (2021). Farmers’ Perception of Selling Chili to the New Auction Market: A Case at Sleman Regency of Indonesia. Journal of Agricultural Sciences – Sri Lanka, 16(1), 182. https://doi.org/10.4038/jas.v16i1.9196
Engle, R. F., & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251. https://doi.org/10.2307/1913236
Feenstra, G., & Hardesty, S. (2016). Values-based supply chains as a strategy for supporting small and mid-scale producers in the United States. Agriculture (Switzerland), 6(3). https://doi.org/10.3390/agriculture6030039
Fuller, W. A. (1976). Introduction to Statistical Time Series. John Wiley and Sons.
Ganneval, S. (2016). Spatial price transmission on agricultural commodity markets under different volatility regimes. Economic Modelling, 52, 173–185. https://doi.org/10.1016/j.econmod.2014.11.027
Hamulczuk, M. (2020). Spatial Integration Of Agricultural Commodity Markets – Methodological Problems. Problems of Agricultural Economics, 263(2), 32–52. https://doi.org/10.30858/zer/120038
Hansen, C. R., & Stowe, C. J. (2018). Determinants Of Weanling Thoroughbred Auction Prices. Journal of Agricultural and Applied Economics, 50(1), 48–63. https://doi.org/10.1017/aae.2017.19
Iddrisu, A.-A., & Alagidede, I. P. (2020). Monetary policy and food inflation in South Africa: A quantile regression analysis. Food Policy, 91(August 2019), 101816. https://doi.org/10.1016/j.foodpol.2019.101816
Jiang, Y., & Wang, Y. (2013). Is China’s domestic agricultural market influenced by price fluctuations of the world agricultural commodities in the short-run? Agricultural Economics (Zemědělská Ekonomika), 59(No. 12), 578–589. https://doi.org/10.17221/54/2013-AGRICECON
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
John, A. (2014). Price relations between international rice markets. Agricultural and Food Economics, 2(1), 1–16. https://doi.org/10.1186/2193-7532-2-1
Johnson, R., Fraser, E. D. G., & Hawkins, R. (2016). Overcoming barriers to scaling up sustainable alternative food systems: A comparative case study of two ontario-based wholesale produce auctions. Sustainability (Switzerland), 8(4). https://doi.org/10.3390/su8040328
Kibler, M. L., & Thompson, J. M. (2020). Price Determinants of Stock-Type Horses Sold at Public Online Auctions. Journal of Agricultural and Applied Economics, 52(4), 596–612. https://doi.org/10.1017/aae.2020.20
Li, J., Liu, W., & Song, Z. (2020). Sustainability of the Adjustment Schemes in China’s Grain Price Support Policy—An Empirical Analysis Based on the Partial Equilibrium Model of Wheat. Sustainability, 12(16), 6447. https://doi.org/10.3390/su12166447
Li, W. K., Ling, S., & Wong, H. (2001). Estimation for Partially Nonstationary Multivariate Autoregressive Models with Conditional Heteroscedasticity. Biometrika, 88(4), 1135–1152. http://www.jstor.org/stable/2673706
Mariyono, J. (2017). Moving to commercial production: a case of intensive chili farming in Indonesia. Development in Practice, 27(8), 1103–1113. https://doi.org/10.1080/09614524.2017.1360841
Mariyono, J. (2018). Profitability and Determinants of Smallholder Commercial Vegetable Production. International Journal of Vegetable Science, 24(3), 274–288. https://doi.org/10.1080/19315260.2017.1413698
Mariyono, J., & Sumarno, S. (2015). Chilli production and adoption of chilli-based agribusiness in Indonesia. Journal of Agribusiness in Developing and Emerging Economies, 5(1), 57–75. https://doi.org/10.1108/JADEE-01-2014-0002
Marks, D., & Welsch, D. M. (2015). Asking prices, selling prices, and anchoring effects. International Journal of Wine Business Research, 27(1), 4–22. https://doi.org/10.1108/IJWBR-01-2014-0005
Marshall, T. L., Coatney, K. T., Parish, J. A., Little, R. D., Maples, J. G., & Williams, B. R. (2021). Factors Impacting Reproductive Success and Asset Value of Beef Breeding Females in Mississippi Auctions. Journal of Agricultural and Applied Economics, 53(1), 110–133. https://doi.org/10.1017/aae.2020.29
Mason, A. N., & Villalobos, J. R. (2015). Coordination of perishable crop production using auction mechanisms. Agricultural Systems, 138, 18–30. https://doi.org/10.1016/j.agsy.2015.04.008
Mishra, R., & Kumar, A. (2011). The spatial integration of vegetable markets in Nepal. Asian Journal of Agriculture and Development, 8(1), 101–114. https://doi.org/https://ageconsearch.umn.edu/record/199329/files/AJAD_2011_8_2_7Mishra.pdf
Miyashita, K. (2014). Online double auction mechanism for perishable goods. Electronic Commerce Research and Applications, 13(5), 355–367. https://doi.org/10.1016/j.elerap.2014.06.004
Muflikh, Y. N., Smith, C., Brown, C., & Aziz, A. A. (2021). Analysing price volatility in agricultural value chains using systems thinking: A case study of the Indonesian chilli value chain. Agricultural Systems, 192(May), 103179. https://doi.org/10.1016/j.agsy.2021.103179
Ngarava, S. (2021). Long term relationship between food, energy and water inflation in South Africa. Water-Energy Nexus, 4, 123–133. https://doi.org/10.1016/j.wen.2021.07.002
Nugroho, A. D., Prasada, I., & Rosyid, A. A. (2021). The efficiency of the auction market of chili in the sandy coastal area of Yogyakarta province, Indonesia. African Journal of Food, Agriculture, Nutrition and Development, 21(02), 17435–17449. https://doi.org/10.18697/ajfand.97.19420
Nuvaisiyah, P., Nhita, F., & Saepudin, D. (2019). Price Prediction of Chili Commodities in Bandung Regency Using Bayesian Network. International Journal on Information and Communication Technology (IJoICT), 4(2), 19. https://doi.org/10.21108/IJOICT.2018.42.204
Ranjan, R. (2017). Challenges to farm produce marketing: A model of bargaining between farmers and middlemen under risk. Journal of Agricultural and Resource Economics, 42(3), 386–405.
Reid, J., Simmonds, D., & Newbold, E. (2019). Wholesale produce auctions and regional food systems: The case of Seneca produce auction. Renewable Agriculture and Food Systems, 34(03), 259–267. https://doi.org/10.1017/S1742170518000133
Roman, M., & Kroupová, Z. Ž. (2022). Spatial Market Integration: A Case Study of the Polish–Czech Milk Market. Economies, 10(1). https://doi.org/10.3390/economies10010025
Saragih, N. I., Bahagia, S. N., Suprayogi, & Syabri, I. (2015). City logistics for mega city: A conceptual model (Case study: DKI Jakarta). Proceedings of the Joint International Conference on Electric Vehicular Technology and Industrial, Mechanical, Electrical and Chemical Engineering (ICEVT & IMECE), 178–182. https://doi.org/10.1109/ICEVTIMECE.2015.7496660
Saragih, N. I., Bahagia, S. N., Suprayogi, & Syabri, I. (2019). A heuristic method for location-inventory-routing problem in a three-echelon supply chain system. Computers & Industrial Engineering, 127(November 2017), 875–886. https://doi.org/10.1016/j.cie.2018.11.026
Sasmal, J. (2015). Food price inflation in India: The growing economy with sluggish agriculture. Journal of Economics, Finance and Administrative Science, 20(38), 30–40. https://doi.org/10.1016/j.jefas.2015.01.005
Sekhar, C. S. C., Roy, D., & Bhatt, Y. (2018). Food inflation and volatility in India: trends and determinants. Indian Economic Review, 53(1–2), 65–91. https://doi.org/10.1007/s41775-018-0017-z
Sin, C. (2006). A Portmanteau Test for Multivariate GARCH when the Conditional Mean is an ECM: Theory and Empirical Applications. In D. Terrell & T. B. Fomby (Eds.), Econometric Analysis of Financial and Economic Time Series: Vol. 20 Part 1 (pp. 125–151). Emerald Group Publishing Limited. https://doi.org/10.1016/S0731-9053(05)20005-1
Sun, C.-H. (2010). The impact of auction characteristics on prices of agricultural products traded online: evidence from cherries. Agricultural Economics, 41(6), 587–594. https://doi.org/10.1111/j.1574-0862.2010.00474.x
Sun, T. T., Su, C. W., Mirza, N., & Umar, M. (2021). How does trade policy uncertainty affect agriculture commodity prices? Pacific Basin Finance Journal, 66(January), 101514. https://doi.org/10.1016/j.pacfin.2021.101514
Sun, Y., Mirza, N., Qadeer, A., & Hsueh, H. P. (2021). Connectedness between oil and agricultural commodity prices during tranquil and volatile period. Is crude oil a victim indeed? Resources Policy, 72(January), 102131. https://doi.org/10.1016/j.resourpol.2021.102131
Susanawati, Akhmadi, H., Fauzan, M., & Rozaki, Z. (2021). Supply chain efficiency of red chili based on the performance measurement system in Yogyakarta, Indonesia. Open Agriculture, 6(1), 202–211. https://doi.org/10.1515/opag-2021-0224
Thazhugal Govindan Nair, S. (2021). Measuring volatility spillovers and asymmetric responses of Agri commodity prices: evidence from spices and rubber futures in India. Indian Growth and Development Review, 14(2), 242–267. https://doi.org/10.1108/IGDR-10-2020-0147
Tourte, L., & Gaskell, M. (2004). Horticultural auction markets: Linking small farms with consumer demand. Renewable Agriculture and Food Systems, 19(03), 129–134. https://doi.org/10.1079/RAFS200475
Widodo, W., YusiRusimah, S., & Choirunisa, N. (2018). Factors Affecting to Consumers’ Attitude towards Halal Label on Nugget and Sausage Packaging: A Case Study on Housewives at One Residential in Yogyakarta City. AGRARIS: Journal of Agribusiness and Rural Development Research, 4(1). https://doi.org/10.18196/agr.4158
Zakari, S., Ying, L., & Song, B. (2014). Market Integration and Spatial Price Transmission in Niger Grain Markets. African Development Review, 26(2), 264–273. https://doi.org/10.1111/1467-8268.12080
DOI: https://doi.org/10.18196/agraris.v8i2.15654
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