IMPACTS OF RISING ANIMAL FOOD PRICES ON DEMAND AND POVERTY IN INDONESIA

Authors

  • Nikmatul Khoiriyah Department of Agribusinees, Faculty of Agriculture, University of Islam Malang http://orcid.org/0000-0001-6818-9485
  • Ratya Anindita Deparment of Socio Economic, Faculty of Agriculture, Brawijaya University
  • Nuhfil Hanani Deparment of Socio Economic, Faculty of Agriculture, Brawijaya University
  • Abdul Wahib Muhaimin Deparment of Socio Economic, Faculty of Agriculture, Brawijaya University

DOI:

https://doi.org/10.21776/ub.agrise.2020.20.1.9

Keywords:

food demand system, protein, poor household, poverty

Abstract

Protein deficiency is one of the causes of the poor nutritional status of the Indonesian population, is permanent, and long-term will have an impact on the lower quality of human resources. This study analyzes the impact of price and income changes on animal food consumption patterns and demand on five poverty level in Indonesia. The demand esimation uses Quadratic Almost Ideal Demand Systems, using the National Socio Economic Survey (SUSENAS) data (March 2016) compilation data of 291,414 households. The results showed that there were different interactions between beef and the other four animal protein food sources, namely the Poor, Almost Poor and Vulnerable Poor beef substitution was mainly chicken, followed by fresh fish and eggs. Hicksian's own-price elasticity decreases following the decrease in the level of household poverty. Cases of beef, household own-price elasticity "extremely poor" -11.70% and "not poor" -1.95%. The sensitivity of the decrease in beef consumption is due to an increase in own-prices for "extremely poor" households 5.5 times compared to "non-poor". Beef is a very luxurious and relatively inaccessible source of animal protein food, especially for extremely poor, poor, almost poor, and vulnerable poor households, and this constitutes 40% of Indonesia's population. To increase beef consumption, it is necessary to increase domestic beef production so that the price of beef is affordable not only for non-poor households but also for extremely poor, poor, almost poor and vulnerable poor households in Indonesia

References

Abdulai, A. (2002). Household demand for food in Switzerland. A quadratic almost ideal demand system. Revue Suisse D Economie Et De Statistique, 138(1), 1–18.

Abramovsky, L., Attanasio, O., & Phillips, D. (2012). Demand responses to changes in consumer prices in Mexico: Lessons for policy and an application to the 2010 Mexican tax reforms. Royal Economic Society Conference Paper.

Aftab, M. R., Rehman, M., Abdul, C., & Faheem, M. (2015). Food Prices and its Impact on Poverty in Pakistan. Pakistan Journal of Social Sciences (PJSS), 35(2).

Agbola, F. W. (2003). Estimation of food demand patterns in South Africa based on a survey of households. Journal of Agricultural and Applied Economics, 35(3), 663–670.

Alem, Y. (2011). The impact of food price inflation on consumer welfare in urban Ethiopia: A quadratic almost ideal demand system approach. Economic Studies Department of Economics School of Business, Economics and Law University of Gothenburg, 54.

Alem, Y., & Söderbom, M. (2010). Household-level consumption in urban Ethiopia: The impact of food price inflation and idiosyncratic shocks. Department of Economic, University of Gothenbory Sweden. School of Economic, Addis Ababa University of Ethiopia.

Al-Shuaibi, A. M. (2011). An Economic Study of the Demand for Red meat in the Kingdom of Saudi Arabia using almost Ideal demand system. Trends in Agricultural Economics, 4(1), 30–40.

Banks, J., Blundell, R., & Lewbel, A. (1997). Quadratic Engel curves and consumer demand. Review of Economics and Statistics, 79(4), 527–539.

Bellemare, M. F., Barrett, C. B., & Just, D. R. (2013). The welfare impacts of commodity price volatility: Evidence from rural Ethiopia. American Journal of Agricultural Economics, 95(4), 877–899.

Bett, H. K., Musyoka, M. P., Peters, K. J., & Bokelmann, W. (2012). Demand for meat in the rural and urban areas of Kenya: A focus on the indigenous chicken. Economics Research International, 2012.

Bopape, L. E. (2006). The influence of demand model selection on household welfare estimates: An application to South African food expenditures. Michigan State University. Department of Agricultural Economics.

Bopape, L., & Myers, R. (2007). Analysis of household demand for food in South Africa: Model selection, expenditure endogeneity, and the influence of socio-demographic effects. African Econometrics Society Annual Conferenceâ€, Cape Town, South Africa. Citeseer.

Burggraf, C., Kuhn, L., ZHAO, Q., Teuber, R., & Glauben, T. (2015). Economic growth and nutrition transition: An empirical analysis comparing demand elasticities for foods in China and Russia. Journal of Integrative Agriculture, 14(6), 1008–1022.

Cudjoe, G., Breisinger, C., & Diao, X. (2010). Local impacts of a global crisis: Food price transmission, consumer welfare and poverty in Ghana. Food Policy, 35(4), 294–302.

Deaton, A. (1980). Muellbauer. J.(1 9 8 0), Economics and Consumer Behavior, Cam b Ridge U Niversity Press, Cam b Ridge, U K.

Demeke, M., & Rashid, S. (2012). Welfare impacts of rising food prices in rural Ethiopia: A Quadratic almost ideal demand system approach.

Elijah Obayelu, A., Okoruwa, V. O., & Ajani, O. I. Y. (2009). Cross-sectional analysis of food demand in the North Central, Nigeria: The quadratic almost ideal demand system (QUAIDS) approach. China Agricultural Economic Review, 1(2), 173–193.

Ivanic, M., & Martin, W. (2014). Short-and long-run impacts of food price changes on poverty. The World Bank.

Katchova, A. L., & Chern, W. S. (2004). Comparison of quadratic expenditure system and almost ideal demand system based on empirical data. International Journal of Applied Economics, 1(1), 55–64.

Korir, L., Rizov, M., & Ruto, E. (2018). Analysis of household food demand and its implications on food security in Kenya: An application of QUAIDS model. 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK. Agricultural Economics Society.

Kumar, P., & Joshi, P. K. (2016). Food demand and supply projections to 2030: India. International Trade and Food Security: The Future of Indian Agriculture, 29–63.

Kurnia Dewi, F. (2012). Perbedaan Perkembangan Motorik Halus Antara Balita Stunting dan Non Stunting di Kelurahan Kartasura Kecamatan Kartasura Kabupaten Sukoharjo. Universitas Muhammadiyah Surakarta.

Majumder, A., Ray, R., & Sinha, K. (2012). Calculating rural-urban food price differentials from unit values in household expenditure surveys: A comparison with existing methods and a new procedure. American Journal of Agricultural Economics, 94(5), 1218–1235.

Mittal, S. (2010). Application of the QUAIDS model to the food sector in India. Journal of Quantitative Economics, 8(1), 42–54.

Pangaribowo, E. H. (2010). Food Demand Analysis of Indonesian Households: Do They Eat Better or SmoNe When They Get Richer. International Conference on Eurasian Economies.

Poi, B. P. (2012). Easy demand-system estimation with quaids. The Stata Journal, 12(3), 433–446.

Valeroâ€Gil, J. N., & Valero, M. (2008). The effects of rising food prices on poverty in Mexico. Agricultural Economics, 39, 485–496.

Wahyuni, D., Purnastuti, L., & Mustofa, M. (2016). Analisis Elastisitas Tiga Bahan Pangan Sumber Protein Hewani di Indonesia. Jurnal Economia, 12(1), 43–53.

Downloads

Published

2020-01-31

How to Cite

Khoiriyah, N., Anindita, R., Hanani, N., & Muhaimin, A. W. (2020). IMPACTS OF RISING ANIMAL FOOD PRICES ON DEMAND AND POVERTY IN INDONESIA. Agricultural Socio-Economics Journal, 20(1), 67–78. https://doi.org/10.21776/ub.agrise.2020.20.1.9

Issue

Section

Articles

Most read articles by the same author(s)

<< < 1 2 3 4 5 6 7 8 9 > >>