Skip to main navigation menu Skip to main content Skip to site footer

Regular Articles

Vol. 26 No. 1 (2024)

Access to Technology to Increase Food Resilience in Rural Households in Indonesia

DOI
https://doi.org/10.3280/ecag2024oa16358
Submitted
agosto 13, 2023
Published
2024-06-14

Abstract

Food resilience is intricately linked to household standard of living, human development, and economic growth. Higher food expenditure not only signifies improved living standards but also provides households with the necessary energy and nutrition for daily activities. The integration of technology holds promise for bolstering food resilience among households.
However, there exists a gap in understanding how technology can enhance household food resilience across different socioeconomic classes, considering the diverse food expenditure patterns observed. This paper employs quantile regressions to examine the impact of technology on food resilience, accounting for heterogeneity across socio-economic classes.
Utilizing data from the Indonesia Family Life Survey (IFLS) wave 5 dataset, our findings reveal varying effects of certain variables across different classes. Key contributors to food expenditure identified include income, household size, education, and engagement in agriculture as the primary source of employment. Consequently, policy interventions should prioritize expanding internet access for low-decile households residing in rural areas to effectively enhance food resilience.

References

  1. O., Aj, A., Ma, A., & Om, P. (2022). Rural Households Food Expenditure Pattern and Food Security Status in Nigeria. Biomedical Journal of Scientific & Technical Research, 43(4), 34900-34909. Doi: 10.26717/BJSTR.2022.43.006946.
  2. Alderman, H., Behrman, J.R., & Hoddinott, J. (2005). Nutrition, malnutrition and economic growth. Health and economic growth: Findings and policy implications, 169-194. Doi: 10.7551/mitpress/3451.003.0012.
  3. Alinovi, L., Mane, E., & Romano, D. (2010). Measuring household resilience to food insecurity: application to Palestinian households. Agricultural survey methods, 341-368. Doi: 10.1002/9780470665480.ch21.
  4. Anerua, F., & Azonuche, D. (2010). Information and communication technology (ict): a necessary tool for food and nutrition education issues and challenges. Multidisciplinary Journal of Research Development, 14(4). -- Retrieve from: www.globalacademicgroup.com/journals/multidisciplinary%20journal%20of%20research%20development/INFORMATION%20AND%20COMMUNICATION%20TECHNOLOGY.pdf.
  5. Ardianti, D.M., & Hartono, D. (2022). Internet Use and Agricultural Household Food Insecurity in Indonesia. Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan, 23(2), 179-191. Doi: 10.23917/jep.v23i2.18077.
  6. Ariani, M., & Saliem, H.P. (2015). Pola Pengeluaran dan Konsumsi Rumah Tangga Perdesaan: Komparasi Antartipe Agroekosistem. Indonesian Agency for Agricultural Research and Development. Book Chapter: Konsumsi Pangan Rumah Tangga: Antara Harapan dan Kenyataan. -- Retrieve from: www.neliti.com/publications/716/pola-pengeluaran-dan-konsumsi-rumah-tangga-perdesaankomparasi-antartipe-agroeko#cite.
  7. Ariansyah, K. (2018). The Importance of the internet on improving economic welfare: An empirical evidence from Indonesian rural household. Paper presented at the 2018 International Conference on ICT for Rural Development (IC-ICTRuDev). Doi: 10.1109/ICICTR.2018.8706868.
  8. Badan Pusat Statistik (2021). Pengeluaran untuk Konsumsi Penduduk Indonesia, Maret 2021. -- Retrieved from www.bps.go.id/publication/2021/10/29/b4d4f654fc44dee98f389171/pengeluaran-untuk-konsumsi-penduduk-indonesiamaret-2021.html.
  9. Belotti, F., Hughes, G., & Mortari, A.P. (2017). Spatial panel-data models using Stata. The Stata Journal, 17(1), 139-180. Doi: 10.1177/1536867X1701700109.
  10. Bernstein, M.A., Tucker, K.L., Ryan, N.D., O’Neill, E.F., Clements, K.M., Nelson, M.E., … Singh, M.A.F. (2002). Higher dietary variety is associated with better nutritional status in frail elderly people. Journal of the American Dietetic Association, 102(8), 1096-1104. Doi: 10.1016/S0002-8223(02)90246-4.
  11. Bertham, Y.H., Ganefianti, D.W., & Andani, A. (2011). Peranan Perempuan dalam Perekonomian Keluarga dengan Memanfaatkan Sumberdaya Pertanian. AGRISEP, 10(1), 138-153. Doi: 10.31186/jagrisep.10.1.138-153.
  12. Beydoun, M.A., Powell, L.M., & Wang, Y. (2009). Reduced away-from-home food expenditure and better nutrition knowledge and belief can improve quality of dietary intake among US adults. Public health nutrition, 12(3), 369-381. Doi: 10.1017/S1368980008002140.
  13. Brug, J., Oenema, A., Kroeze, W., & Raat, H. (2005). The internet and nutrition education: challenges and opportunities. European Journal of Clinical Nutrition, 59(1), S130-S139. Doi: 10.1038/sj.ejcn.1602186.
  14. Crotty, P.A., Rutishauser, I.H., & Cahill, M. (1992). Food in low‐income families. Australian Journal of Public Health, 16(2), 168-174. Doi: 10.1111/j.1753-6405.1992.tb00047.x.
  15. Darmon, N., & Drewnowski, A. (2008). Does social class predict diet quality? The American Journal of Clinical Nutrition, 87(5), 1107-1117. Doi: 10.1093/ajcn/87.5.1107.
  16. Decuyper, A., Rutherford, A., Wadhwa, A., Bauer, J.-M., Krings, G., Gutierrez, T., … Luengo-Oroz, M.A. (2014). Estimating food consumption and poverty indices with mobile phone data. arXiv preprint arXiv,1412.2595. Doi: 10.48550/arXiv.1412.2595.
  17. Ezeoha, A.E., Obi, A., Igwe, A., & Ezeruigbo, C. (2020). The mobile phone revolution, the Internet and rural electricity: What are the implications for food security in Africa? Information Development, 36(4), 603-622. Doi: 10.1177/0266666919884991.
  18. Faharuddin, Yunita, Mulyana, A., & Yamin, M. (2019). Agricultural households’ food demand: Evidence from Indonesia. Asian Journal of Agriculture and Development, 16(1362-2019-4203), 45-60. Doi: 10.37801/ajad2019.16.2.3.
  19. Faharuddin, F., Mulyana, A., Yamin, M., & Yunita, Y. (2017). Nutrient elasticities of food consumption: the case of Indonesia. Journal of Agribusiness in Developing and Emerging Economies, 7(3), 198-217. Doi: 10.1108/JADEE-02-2016-0008.
  20. Fan, J.X., Brown, B.B., Kowaleski-Jones, L., & Smith, K.R. (2007). Household food expenditure patterns: a cluster analysis. Monthly Lab. Rev., 130, 38. -- Retrieved from: www.bls.gov/opub/mlr/2007/04/art3full.pdf.
  21. FAO (2018). Country factsheet on small family farms - Indonesia. -- Retrieved from www.fao.org/agrifood-economics/publications/detail/en/c/1132206/.
  22. Fogel, R.W. (2004). Health, nutrition, and economic growth. Economic Development and Cultural Change, 52(3), 643-658. Doi: 10.1086/383450.
  23. Hafizah, D., Hakim, D.B., Harianto, H., & Nurmalina, R. (2021). Analisis Elastisitas Pendapatan Rumah Tangga di Indonesia. Jurnal Ilmu Pertanian Indonesia, 26(3), 428-435. Doi: 10.18343/jipi.26.3.428.
  24. Huffman, W.E., & Orazem, P.F. (2007). Agriculture and Human Capital in Economic Growth: Farmers, Schooling and Nutrition. In: R. Evenson & P. Pingali (Eds.). Handbook of Agricultural Economics (vol. 3, pp. 2281-2341), Elsevier. Doi: 10.1016/S1574-0072(06)03043-X.
  25. Hymans, S.H., & Shapiro, H.T. (1976). The allocation of household income to food consumption. Journal of Econometrics, 4(2), 167-188. Doi: 10.1016/0304-4076(76)90011-7.
  26. Irawan, B., Simatupang, P., Sugiarto, S., Agustin, N., & Sinuraya, J. (2006). Panel Petani Nasional (PATANAS): analisis indikator pembangunan pertanian dan pedesaan. Laporan Akhir Penelitian.
  27. Islam, D.M.R., & Sim, D.N. (2021). Education and Food Consumption Patterns: Quasi-Experimental Evidence from Indonesia. Cornell University. Doi: 10.2139/ssrn.3925151.
  28. Kant, A.K., Schatzkin, A., Harris, T.B., Ziegler, R.G., & Block, G. (1993). Dietary diversity and subsequent mortality in the first national health and nutrition examination survey epidemiologic follow-up study. The American journal of clinical nutrition, 57(3), 434-440. Doi: 10.1093/ajcn/57.3.434.
  29. Khanal, A.R., & Mishra, A.K. (2013). Assessing the impact of internet access on household income and financial performance of small farms. Research in Agricultural & Applied Economics. Doi: 10.22004/ag.econ.143019.
  30. Koenker, R., & Bassett Jr, G. (1978). Regression quantiles. Econometrica, 46(1), 33-50. Doi: 10.2307/1913643.
  31. Kousar, R., Sadaf, T., Makhdum, M.S.A., & Ijaz, A. (2017). Determinants of household’s education and nutrition spending: A gender-based empirical analysis. Humanomics. Doi: 10.1108/H-06-2016-0050.
  32. Liang, L., Shrestha, R., Ghosh, S., & Webb, P. (2020). Using mobile phone data helps estimate community-level food insecurity: Findings from a multi-year panel study in Nepal. PLoS One, 15(11), e0241791. Doi: 10.1371/journal.pone.0241791.
  33. Maipita, I., Jantan, D., & Razak, N.A.A. (2011). The impact of fiscal policy toward economic performance and poverty rate in Indonesia. Bulletin of Monetary Economics and Banking, 12(4), 391-424. Doi: 10.21098/bemp.v12i4.378.
  34. Makun, K.K., & Jayaraman, T. (2012). Spread of ICT and Economic Growth in Pacific Island Countries: A Panel Study. Bulletin of Monetary Economics and Banking, 23, 109-128. Doi: 10.21098/bemp.v23i0.1178.
  35. Maxwell, D., Levin, C., Armar-Klemesu, M., Ruel, M., Morris, S., & Ahiadeke, C. (2000). Urban Livelihoods and Food and Nutrition Security in Greater Accra, Ghana. -- Retrieved from: Urban Livelihoods and Food and Nutrition Security in Greater Accra, Ghana - Google Books.
  36. McCulloch, N., & Timmer, C. (2008). Rice policy in Indonesia: a special issue. Bulletin of Indonesian Economic Studies, 44(1), 33-44. Doi: 10.1080/00074910802001561.
  37. Mulamba, K.C. (2022). Relationship between households’ share of food expenditure and income across South African districts: a multilevel regression analysis. Humanities and Social Sciences Communications, 9(1), 1-11. Doi: 10.1057/s41599-022-01454-4.
  38. Mulugeta, M.S. (2009). Determinants of livelihood strategies of urban women: The case of female household heads in Wolenchiti Town, Ethiopia. Research and Perspectives on Development Practice, 6. -- Retrieved from: https://mural.maynoothuniversity.ie/9964/1/Metasebia-Solomon-Mulugetasmallpdf.com_.pdf.
  39. Mwalupaso, G.E., Wang, S., Eshetie, A.M., & Tian, X. (2020). Ameliorating food and nutrition security in farm households: Does informatization matter?. Sustainability, 12(2), 522. Doi: 10.3390/su12020522.
  40. Neuenschwander, L.M., Abbott, A., & Mobley, A.R. (2012). Assessment of Low-Income Adults’ Access to Technology: Implications for Nutrition Education. Journal of Nutrition Education and Behavior, 44(1), 60-65. Doi: 10.1016/j.jneb.2011.01.004.
  41. Pampel, F.C., Krueger, P.M., & Denney, J.T. (2010). Socioeconomic disparities in health behaviors. Annual Review of Sociology, 36, 349. Doi: 10.1146/annurev.soc.012809.102529.
  42. Pangaribowo, E.H., & Tsegai, D.W., Food Demand Analysis of Indonesian Households with Particular Attention to the Poorest (August 1, 2011). ZEFDiscussion Papers on Development Policy No. 151, -- Available at SSRN: https://ssrn.com/abstract=1945226.
  43. Priyanti, A., Inaga, B., Syaukat, Y., & Kuntjoro, S. (2007). Model Ekonomi Rumahtangga Petani Pada Sistem Integrasi Tanaman-Ternak: Konsepsi Dan Studi Empiris. Wartazoa, 17(2), 61-70.
  44. Rath, B.N., & Hermawan, D. (2020). Do information and communication technologies foster economic growth in Indonesia?. Bulletin of Monetary Economics and Banking, 22(1), 103-122. Doi: 10.21098/bemp.v22i1.1041.
  45. Rinukti, N.S. (2018). Dampak Program Bantuan Langsung Tunai (BLT) Terhadap Pengeluaran Konsumsi Rumah Tangga Indonesia Studi Kasus: BLT 2005 dan BLT 2008 (Doctoral dissertation, Universitas Gadjah Mada).
  46. Ronalia, P., Hartono, D., & Misdawita, M. (2023). The Impact of Resilience on Household Food Insecurity in Indonesia. Jurnal Ekonomi Pembangunan, 21(1), 25-38. Doi: 10.29259/jep.v21i1.20864.
  47. Ruel, M.T., Garrett, J.L., Morris, S.S., Maxwell, D.G., Oshaug, A., Engle, P.L., … Haddad, L.J. (1998). Urban challenges to food and nutrition security. International Food Policy Research Institute (IFPRI). -- Retrieve from: https://ideas.repec.org/s/fpr/fcnddp.html.
  48. Satriawan, E., & Shrestha, R. (2018). Mistargeting and regressive take up of the Indonesian Rice Subsidy Program. Asian Economic Journal, 32(4), 387-415. Doi: 10.1111/asej.12164.
  49. Setiawan, I., Pape, U., & Beschorner, N. (2022). How to bridge the gap in Indonesia’s inequality in internet access. -- Retrieved from: https://blogs.worldbank.org/eastasiapacific/how-bridge-gap-indonesias-inequality-internet-access.
  50. Singh, G., Rajesh, R., Daultani, Y., & Misra, S.C. (2023). Resilience and sustainability enhancements in food supply chains using Digital Twin technology: A grey causal modelling (GCM) approach. Computers & Industrial Engineering, 179, 109172. Doi: 10.1016/j.cie.2023.109172.
  51. Soseco, T. (2021). Household Size, Education, and Household Wealth in Indonesia: Evidence from Quantile Regression. Jurnal Ekonomi Indonesia, 10(3), 281-297. Doi: 10.52813/jei.v10i3.72.
  52. Soseco, T., Hidayah, I., & Rini, A.D. (2022). Gender Determinant on Multidimensional Poverty Index: Evidence from Indonesia. Jurnal Ilmu Sosial dan Ilmu Politik, 26(2), 137-151. Doi: 10.22146/jsp.69320.
  53. Sun, H., Cao, Y., Kim, D., & Marelli, B. (2022). Biomaterials technology for agrofood resilience. Advanced Functional Materials, 32(30), 2201930. doi: 10.1002/adfm.202201930.
  54. Syamola, D., & Nurwahyuni, A. (2019). Determinan Ketahanan Pangan Rumah Tangga di Daerah Pedesaan di Indonesia (Analisis Data Susenas Tahun 2017). Media Kesehatan Masyarakat Indonesia, 15(1), 46-54. Doi: 10.30597/mkmi.v15i1.5880.
  55. Thaariq, R.M., Anindita, A., & Iftina, H.D. (2012). The Internet Miracle: the Impact of Internet Access on Household Saving in Indonesia. Bulletin of Monetary Economics and Banking, 24(2), 255-282. Doi: 10.21098/bemp.v24i2.1650.
  56. Upton, J.B., Cissé, J.D., & Barrett, C.B. (2016). Food security as resilience: reconciling definition and measurement. Agricultural Economics, 47(S1), 135-147. Doi: 10.1111/agec.12305.
  57. Verardi, V., & Croux, C. (2009). Robust regression in Stata. The Stata Journal, 9(3), 439-453. Doi: 10.1177/1536867X0900900306.
  58. Wahid, F., & Furuholt, B. (2012). Understanding the use of mobile phones in the agricultural sector in rural Indonesia: using the capability approach as lens. International Journal of Information and Communication Technology, 4(2-4), 165-178. Doi: 10.1504/IJICT.2012.048761.
  59. Wahlqvist, M.L., & Specht, R.L. (1998). Food variety and biodiversity: Econutrition. Asia Pacific Journal of Clinical Nutrition, 7, 314-319. -- Retrieve from: https://apjcn.nhri.org.tw/server/APJCN/7/3/4/314.pdf.
  60. Wang, X., & Taniguchi, K. (2003). Does better nutrition enhance economic growth? The economic cost of hunger. Nutrition intake and economic growth. Studies on the cost of hunger. Doi: 10.22004/ag.econ.289103.
  61. Wantchekon, L., & Riaz, Z. (2019). Mobile technology and food access. World Development, 117, 344-356. Doi: 10.1016/j.worlddev.2019.01.006.
  62. Widodo, S. (2007). Pembangunan dan Politik Pertanian di Indonesia. Caraka Tani: Journal of Sustainable Agriculture, 22(1), 26-35. Doi: 10.20961/carakatani.v22i1.20534.
  63. World Bank. (2021). Beyond Unicorns: Harnessing Digital Technologies for Inclusion in Indonesia: World Bank. Retrieve from: Beyond Unicorns: Harnessing Digital Technologies for Inclusion in Indonesia (worldbank.org).
  64. Xue, P., Han, X., Elahi, E., Zhao, Y., & Wang, X. (2021). Internet access and nutritional intake: Evidence from rural China. Nutrients, 13(6). Doi: 10.3390/nu13062015.
  65. Yovo, K., & Gnedeka, K.T. (2023). Assess the level and the determinants of household food security in Togo: The food expenditures approach. Scientific African, 20, e01685. Doi: 10.1016/j.sciaf.2023.e01685.

Metrics

Metrics Loading ...