The Impact of Resilience on Household Food Insecurity in Indonesia

Pipit Ronalia, Djoni Hartono, Misdawita Misdawita

Abstract


This study aims to determine the impact of resilience on household food insecurity in Indonesia. This study uses data from the National Socio-Economic Survey (Susenas) and Village Potential Data Collection (Podes) in 2018. The resilience variable is a latent variable in the form of a score formed from the pillars of access to basic services, adaptive capacity, assets, and social safety nets. Meanwhile, the food insecurity variable is approached by the Rasch Scale and Raw Score based on the Food Insecurity Experience Scale (FIES). Estimation of the resilience score was carried out using factor analysis and Structural Equation Model (SEM). After estimating the resilience score, estimation using instrument variables with the Two Stage Least Square (2SLS) method was carried out to determine the causal relationship between resilience and food insecurity. The number of community protection units (linmas) in residential villages is used as instrumental variable as a form of institutional quality approach. The results showed that the higher the level of resilience, the lower the level of household food insecurity. An increase in the resilience score by 1 unit will reduce the level of food insecurity by 0.733 units. The role of resilience in reducing food insecurity is quite large, around 22.212 relative to the average Rasch Scale of all observations.

Keywords


Food insecurity, resilience, instrumental variable, structural equation model

Full Text:

PDF

References


Alinovi, L., Mane, E., & Romano, D. (2015). Towards the measurement of household resilience to food insecurity: An application to Palestinian households. European Commission and the United Nations Food & Agriculture Organization

Ansah, I. G. K., Gardebroek, C., & Ihle, R. (2019). Resilience and household food security: a review of concepts, methodological approaches and empirical evidence. Food Security, 11(6), 1187–1203. https://doi.org/10.1007/s12571-019-00968-1

Anwar, M. (2020). Regional Food Price Variation and Household Food Insecurity in Indonesia. Universitas Indonesia.

Arouri, M., Nguyen, C., & Youssef, A. Ben. (2015). Natural disasters, household welfare, and resilience: evidence from rural Vietnam. World Development, 70, 59–77. https://doi.org/10.1016/j.worlddev.2014.12.017

Badan Ketahanan Pangan, K. P. (2018). Indeks Ketahanan Pangan Indonesia 2018. Badan Ketahanan Pangan.

Bank, W. (2018). Poverty and shared prosperity 2018: Piecing together the poverty puzzle. The World Bank.

Bencana, B. N. P. (2018). Definisi Bencana. Diambil Pada, 23.

Béné, C., Newsham, A., Davies, M., Ulrichs, M., & Godfrey?Wood, R. (2014). Resilience, poverty and development. Journal of International Development, 26(5), 598–623.

Bidisha, S. H., Khan, A., Imran, K., Khondker, B. H., & Suhrawardy, G. M. (2017). Role of credit in food security and dietary diversity in Bangladesh. Economic Analysis and Policy, 53, 33–45. https://doi.org/10.1016/j.eap.2016.10.004

Brück, T., d’Errico, M., & Pietrelli, R. (2019). The effects of violent conflict on household resilience and food security: Evidence from the 2014 Gaza conflict. World Development, 119, 203–223. https://doi.org/10.1016/j.worlddev.2018.05.008

Ciani, F., & Romano, D. (2014). Testing for household resilience to food insecurity: Evidence from Nicaragua. University of Florence.

Ciptaningrum, M. U., & Pamungkas, A. (2017). Adaptasi Peningkatan Resiliensi Aspek Sosial Berdasarkan Konsep Climate and Disaster Resilience Initiative (CDRI) di Wilayah Perkotaan Benjeng dan Cerme, Gresik. Jurnal Penataan Ruang, 12(1), 16–26. http://dx.doi.org/10.12962/j2716179X.v12i1.5221

Commission. (2020). Report from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions: EU Citizenship Report 2020: Empowering Citizens and Protecting their Rights.

d’Errico, M., & Pietrelli, R. (2017). Resilience and child malnutrition in Mali. Food Security, 9(2), 355–370. https://doi.org/10.1007/s12571-017-0652-8

d’Errico, M., Romano, D., & Pietrelli, R. (2018). Household resilience to food insecurity: Evidence from Tanzania and Uganda. Food Security, 10(4), 1033–1054. https://doi.org/10.1007/s12571-018-0820-5

FAO. (2020). The State of Food Security and Nutrition in the World. In FAO, IFAD, UNICEF, WFP and WHO. https://doi.org/10.1109/JSTARS.2014.2300145

Fischer, A., & McKee, A. (2017). A question of capacities ? Community resilience and empowerment between assets, abilities and relationships. Journal of Rural Studies, 54, 187-197. https://doi.org/10.1016/j.jrurstud.2017.06.020

Frankenberger, T. R., Constas, M. A., Nelson, S., & Starr, L. (2014). How NGOs approach resilience programming. Resilience for food and nutrition security, 19, 177-186.

Gambo Boukary, A., Diaw, A., & Wünscher, T. (2016). Factors affecting rural households’ resilience to food insecurity in Niger. Sustainability, 8(3), 181. https://doi.org/10.3390/su8030181

Grafton and Dean, O. (2017). The Impact of Poverty, Food Insecurity, and Poor Nutrition on Health and Well-Being. Food Research & Action Center, 7(December), 1–14.

Hanna, R., & Olken, B. (2020). Survey Online Terkait Dampak Ekonomi Dari COVID-19 Di Indonesia: Hasil Survei Minggu Ke-2. J-PAL Southeast Asia. Accessed On 25th Of July.

IFAD, F. A. O., & UNICEF. (2015). WFP. The State of Food Insecurity in the World.

Kusumastuti, R. D., Husodo, Z. A., Suardi, L., & Danarsari, D. N. (2014). Developing a resilience index towards natural disasters in Indonesia. International Journal of Disaster Risk Reduction, 10, 327–340. https://doi.org/10.1016/j.ijdrr.2014.10.007

Meeting, J. F. E. C. on F. A., & Organization, W. H. (2016). Evaluation of certain food additives and contaminants: eightieth report of the Joint FAO/WHO expert committee on food additives (Vol. 80). World Health Organization.

Murniati, K. (2020). The impact of climate change on the household food security of upland rice farmers in Sidomulyo, Lampung Province, Indonesia. Biodiversitas Journal of Biological Diversity, 21(8), 3487-3493. https://doi.org/10.13057/biodiv/d210809

Phami, P., He, J., Liu, D., Ding, S., Silva, P., Li, C., & Qin, Z. (2020). Exploring the determinants of food security in the areas of the Nam Theun2 hydropower project in Khammuan, Laos. Sustainability, 12(2), 520. https://doi.org/10.3390/su12020520

Saint Ville, A., Po, J. Y. T., Sen, A., Bui, A., & Melgar-Quiñonez, H. (2019). Food security and the Food Insecurity Experience Scale (FIES): ensuring progress by 2030. In Food Security, 11, 483–491. https://doi.org/10.1007/s12571-019-00936-9

Sanderson, E., & Windmeijer, F. (2016). A weak instrument F-test in linear IV models with multiple endogenous variables. Journal of econometrics, 190(2), 212-221. https://doi.org/10.1016/j.jeconom.2015.06.004

Smith, L. C., & Frankenberger, T. R. (2018). Does resilience capacity reduce the negative impact of shocks on household food security? Evidence from the 2014 floods in Northern Bangladesh. World Development, 102, 358–376. https://doi.org/10.1016/j.worlddev.2017.07.003

Supranto, J. (2016). Statistik: Teori dan Aplikasi. Jilid 2.

Vaitla, B., Cissé, J. D., Upton, J., Tesfay, G., Abadi, N., & Maxwell, D. (2020). How the choice of food security indicators affects the assessment of resilience—an example from northern Ethiopia. Food Security, 12, 137-150. https://doi.org/10.1007/s12571-019-00989-w

Wala, A. A., Alim, S., & Setyatama, F. (2020). Use of Structural Equation Modeling Method for Analysis of Factors Affecting the Quality of Library Services of Bhayangkara University. JEECS (Journal of Electrical Engineering and Computer Sciences), 5(2), 835–844. https://doi.org/10.54732/jeecs.v5i2.89

Yong, A. G., & Pearce, S. (2013). A beginner’s guide to factor analysis: Focusing on exploratory factor analysis. Tutorials in Quantitative Methods for Psychology, 9(2), 79–94. https://doi.org/10.20982/tqmp.09.2.p079




DOI: https://doi.org/10.29259/jep.v21i1.20864

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


Jurnal Ekonomi Pembangunan
Jalan Raya Palembang-Prabumulih Km. 32
Jurusan Ekonomi Pembangunan, Fakultas Ekonomi Universitas Sriwijaya
Indralaya, Sumatera Selatan, Indonesia
Email: jep.unsri@gmail.com, Tel/Fax : (0711)580231


p-ISSN: 1829-5843, e-ISSN 2685-0788


Creative Commons License

Jurnal Ekonomi Pembangunan by http://ejournal.unsri.ac.id/index.php/jep 

is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.  

Jurnal Ekonomi Pembangunan is Indexed by:

Logo Google Scholar Unsri  Moraref One Search