Multidimensional poverty of cassava farm households in Wonogiri Regency, Indonesia


Keywords: cassava, farmers, poverty, multidimensional poverty index, sustainable development goals.

Abstract

Purpose. This study analyzed multidimensional poverty in cassava farm households in Wonogiri Regency, Indonesia.

Methodology / approach. The main method was a descriptive quantitative approach. Moreover, a purposive method was used in determining the study area, considering that Wonogiri Regency is the largest cassava production area in Central Java Province. The number of research samples was 100 cassava farm households. The data analysis method used the Multidimensional Poverty Index (MPI).

Results. The headcount ratio (H) based on an analysis of 0.190 meant that 19 % of cassava farm households had poor multidimensional status, and another 81 % were not poor. Furthermore, the intensity of poverty (A) was 0.333, meaning the average deprivation of poor farmers was 0.333. In addition, the Multidimensional Poverty Index of cassava farm households was 0.063. Although the average weight of deprivation indicators of immunization, child mortality, school participation, sanitation, drinking water, and electricity was 0, it must be maintained to achieve the Sustainable Development Goals.

Originality / scientific novelty. Poverty analysis with the Multidimensional Poverty Index approach has never been carried out on cassava farm households in the study area. Previously, data analysis was conducted in the study area included the potential of cassava in the context of food security, cassava-based agro-industrial development strategies, value-added analysis of cassava-based agro-industry, cost structure analysis and feasibility of cassava farming, risk analysis and distribution of cassava farming income as a result of climate change, income distribution with the Gini Index and Lorentz Curve. Therefore, this study fills the gaps in the literature.

Practical value / implications. There is a need to improve the education of farmers’ children and future generations of farmers, and to increase the knowledge and understanding of farmers through advisory work in agriculture. The change of cooking fuel from wood and shrubs to liquefied petroleum gas needs should be implemented to improve the living standard of cassava farm households. The floor and roof components of houses need to be refined to improve the living standards of cassava households and increase access to the Internet as a means of information and communication. Improvements in education, health and living standards as multifaceted components must be carried out to achieve the Sustainable Development Goals (SDGs), especially in relation to poverty.

References

Hu, S., Yang, Y., Zheng, H., Mi, C., Ma, T., & Shi, R. (2022). A framework for assessing sustainable agriculture and rural development: a case study of the Beijing-Tianjin-Hebei region, China. Environmental Impact Assessment Review, 97, 106861. https://doi.org/10.1016/j.eiar.2022.106861.

Salam, S., & Bauer, S. (2022). Rural non-farm economy and livelihood diversification strategies: evidence from Bangladesh. GeoJournal, 87(2), 477–489. https://doi.org/10.1007/s10708-020-10269-2.

Babatunde, R., Salami, M., & Adeboje, A. (2017). Poverty among cassava farmers in Oyo State, Nigeria – characteristics and drivers. Journal of Agribusiness and Rural Development, 10(3). https://doi.org/10.17306/jard.2016.51.

Okunola, A. M., & Ojo, O. S. (2019). Household poverty measurement and its determinants among rural farmers in Ondo State, Nigeria. Poverty and Public Policy, 11(4), 277–290. https://doi.org/10.1002/pop4.262.

Ogutu, S. O., & Qaim, M. (2019). Commercialization of the small farm sector and multidimensional poverty. World Development, 114, 281–293. https://doi.org/10.1016/j.worlddev.2018.10.012.

The Sustainable Development Goals Report 2019 (2019). United Nations, New York. Available at: https://unstats.un.org/sdgs/report/2019/The-Sustainable-Development-Goals-Report-2019.pdf.

Abbasi, I. A., Ashari, H., Jan, A., & Ariffin, A. S. (2021). Contract farming towards social business: a new paradigm. Sustainability, 13(22), 12680. https://doi.org/10.3390/su132212680.

Abidin, A. Z., & Prasetyani, D. (2021). Socioeconomic study on empowering women farmers to support the SDGs. IOP Conference Series: Earth and Environmental Science, 905(1). https://doi.org/10.1088/1755-1315/905/1/012135.

Takeshima, H., Balana, B. B., Smart, J., Edeh, H. O., Oyeyemi, M. A., & Andam, K. S. (2022). Subnational public expenditures short‐term household‐level welfare, and economic flexibility: evidence from Nigeria. Agricultural Economics, 53(5), 739–755. https://doi.org/10.1111/agec.12710.

Ho, N. N., Do, T. L., Tran, D. T., & Nguyen, T. T. (2022). Indigenous pig production and welfare of ultra-poor ethnic minority households in the Northern mountains of Vietnam. Environment, Development and Sustainability, 24(1), 156–179. https://doi.org/10.1007/s10668-021-01348-6.

Imai, K. S., Cheng, W., & Gaiha, R. (2017). Dynamic and long-term linkages among agricultural and non-agricultural growth, inequality, and poverty in developing countries. International Review of Applied Economics, 31(3), 318–338. https://doi.org/10.1080/02692171.2016.1249833.

Varela, D., Monteiro, F., Vidigal, P., Silva, L., & Romeiras, M. M. (2020). Mechanisms implemented for the sustainable development of agriculture: an overview of Cabo Verde performance. Sustainability, 12(14), 5855. https://doi.org/10.3390/su12145855.

Padda, I. U. H., & Hameed, A. (2018). Estimating multidimensional poverty levels in rural Pakistan: a contribution to sustainable development policies. Journal of Cleaner Production, 197(1), 435–442. https://doi.org/10.1016/j.jclepro.2018.05.224

Amin, M. A., & Afzal, M. K. (2018). Poverty assessment of a farming community in the rice-wheat zone of Punjab, Pakistan. Agricultural and Resource Economics, 4(3), 5–13. https://doi.org/10.51599/are.2018.04.03.01.

Marcinko, C. L. J., Samanta, S., Basu, O., Harfoot, A., Hornby, D. D., Hutton, C. W., Pal, S., & Watmough, G. R. (2022). Earth observation and geospatial data can predict the relative distribution of village-level poverty in the Sundarban Biosphere Reserve, India. Journal of Environmental Management, 313, 114950. https://doi.org/10.1016/j.jenvman.2022.114950.

Kan, M., Oguz, C., Kan, A., Ergun, H., & Demiroz, E. (2018). Multidimensions of poverty for the agricultural community in turkey: Konya province case. Pakistan Journal of Agricultural Sciences, 55(1), 227–238. https://doi.org/10.21162/PAKJAS/18.5600.

Hirons, M. (2020). How the Sustainable Development Goals risk undermining efforts to address environmental and social issues in the small-scale mining sector. Environmental Science and Policy, 114, 321–328. https://doi.org/10.1016/j.envsci.2020.08.022.

Rahayu, E. S., Setyowati, & Rahwadwiati, R. (2021b). The impact of climate change on poverty in the pandemic of Covid-19 in Bengawan Solo Watershed, Wonogiri District, Central Java. IOP Conference Series: Earth and Environmental Science, 824(1). https://doi.org/10.1088/1755-1315/824/1/012109.

Fitriadi, F., Jiuhardi, J., Busari, A., Ulfah, Y., Permadi, H. Y., Kurniawan, E. А., & Darma, D. C. (2022). Using correlation analysis to examine the impact of Covid-19 pandemics on various socioeconomic aspects: case study of Indonesia. Geographica Pannonica, 26(77), 128–141. https://doi.org/10.5937/gp26-37049.

Safitri, Y., Ningsih, R. D., Agustianingsih, D. P., Sukhwani, V., Kato, A., & Shaw, R. (2021). Covid-19 impact on SDGs and the fiscal measures: case of Indonesia. International Journal of Environmental Research and Public Health, 18(6), 2911. https://doi.org/10.3390/ijerph18062911.

Pérez-Peña, M. D. C., Jiménez-García, M., Ruiz-Chico, J., & Peña-Sánchez, A. R. (2021). Analysis of research on the SDGs: the relationship between climate change, poverty, and inequality. Applied Sciences, 11(19), 8947. https://doi.org/10.3390/app11198947.

UNICEF, UNDP, Prospera, & SMERU. (2021). Analysis of the Social and Economic Impacts of COVID-19 on Households and Strategic Policy Recommendations for Indonesia. United Nations Children’s Fund (UNICEF), 1–65.

Rambe, R. A., Purmini, P., Armelly, A., Alfansi, L., & Febriani, R. E. (2022). Efficiency comparison of pro-growth poverty reduction spending before and during the COVID-19 pandemic: a study of regional governments in Indonesia. Economies, 10(6), 150. https://doi.org/10.3390/economies10060150.

Gibson, J., & Olivia, S. (2020). Direct and indirect effects of Covid-19 on life expectancy and poverty in Indonesia. Bulletin of Indonesian Economic Studies, 56(3), 325–344. https://doi.org/10.1080/00074918.2020.1847244.

Badan Pusat Statistik (2020). Provinsi Jawa Tengah dalam Angka 2020. Available at: https://jateng.bps.go.id/publication/2020/04/27/b96a0d5f63de624aa600934d/provinsi-jawa-tengah-dalam-angka-2020.html.

Rahayu, E. S., Setyowati, & Rahwadwiati, R. (2021a). Risk analysis and revenue distribution of cassava farming as an impact of climate change in Wonogiri Regency. IOP Conference Series: Earth and Environmental Science, 824(1). https://doi.org/10.1088/1755-1315/824/1/012108.

Rahayu, E. S., Setyowati, & Rahmadwiati, R. (2021). Analysis of income distribution as prevention of environmental damage in agribusiness management of cassava in Bengawan Solo watershed, Wonogiri Regency. IOP Conference Series: Earth and Environmental Science, 637(1). https://doi.org/10.1088/1755-1315/637/1/012076.

Saboor, A., Khan, A. U., Hussain, A., Ali, I., & Mahmood, K. (2015). Multidimensional deprivations in Pakistan: regional variations and temporal shifts. Quarterly Review of Economics and Finance, 56, 57–67. https://doi.org/10.1016/j.qref.2015.02.007.

Karyanto, T., & Suwasono, S. (2008). Analisis potensi ubi kayu dalam rangka ketahanan pangan di kabupaten Wonogiri. Buana Sains, 8(1), 5–14. Available at: http://download.garuda.kemdikbud.go.id/article.php?article=960751&val=14764&title=ANALISIS%20POTENSI%20UBI%20KAYU%20DALAM%20RANGKA%20KETAHANAN%20PANGAN%20DI%20KABUPATEN%20WONOGIRI.

Surya, Y. P., Marwanti, S., & Kusnandar (2016). Cassava-based agroindustry development strategy in Wonogiri Regency. Jurnal Studi Manajemen dan Bisnis, 3(1), 60–75.

Suswatiningsih, T. E., Astuti, Y. Y., & Ambarsari, A. (2020). Analisis nilai tambah agroindustri berbasis ketela pohon di kecamatan Manyaran kabupaten Wonogiri. Optimalisasi Sumberdaya Lokal Untuk Pembangunan Pertanian Terpadu dan Berkeadilan. Available at: https://digitallibrary.ump.ac.id/660/2/R1_25.%20SuswatiningsihDKK.%20Nilai%20tambah%20agroindustri%20ketela%20di%20Manyaran_288-297.pdf.

Rahayu, Endang S., & Rahmadwiati, R. (2020). strategi keragaan analisis struktur biaya dan kelayakan usahatani ubi kayu di das Bengawan Solo kabupaten Wonogiri. Agrista: Jurnal Ilmiah Mahasiswa Agribisnis UNS, 4(1), 514–523. Available at: https://www.neliti.com/publications/365927/keragaan-analisis-struktur-biaya-dan-kelayakan-usahatani-ubi-kayu-di-das-bengawa#cite.

Alkire, S., Kanagaratman, U., & Suppa, N. (2018). The Global Multidimensional Poverty Index (MPI): 2018 revision. OPHI MPI Methodological Note 46, Oxford Poverty and Human Development Initiative, University of Oxford. Available at: https://www.ophi.org.uk/wp-content/uploads/OPHI_MPI_Meth_Note_46_vs3.pdf.

Department of Agriculture and Food Wonogiri Regency (2021). Cassava productivity 2021. Available at: https://datasektoral.wonogirikab.go.id/statistiksektoral/pertanian_dan_pangan.

Badan Perencanaan Pembangunan Nasional (2020). Metadata indikator Tujuan Pembangunan Berkelanjutan Pilar Pembangunan Sosial. Kementerian Perencanaan Pembangunan Nasional Indonesia.

Sumargo, B., & Simanjutak, N. M. M. (2019). Main deprivation of multidimensional poverty among provinces in Indonesia. Jurnal Ekonomi dan Pembangunan Indonesia, 19(2), 160–172.

Alkire, S., Kanagaratnam, U., & Suppa, N. (2020). The Global Multidimensional Poverty Index (MPI): 2020 revision. OPHI MPI Methodological Notes 46, Oxford Poverty and Human Development Initiative, University of Oxford. Available at: https://www.ophi.org.uk/wp-content/uploads/OPHI_MPI_MN_49_2020.pdf.

Budiantoro, S., Fanggidae, V., Saputra, W., Maftuchan, A., & Artha, D. R. P. (2013). Multidimensional Poverty Index (MPI): Konsep dan Pengukurannya di Indonesia. Prakarsa Economic Policy Working Paper.

Nurhadi, N., Suparmini, S., Sutrisnowati, S. A., Septiana, M. E., & Praptiwi, N. Y. (2019). Farmers household multidimensional level and its effect on participation in agricultural land conservation in disaster residents. IOP Conference Series: Earth and Environmental Science, 271(1), 012007. https://doi.org/10.1088/1755-1315/271/1/012007.

Olarinde, L. O., Abass, A. B., Abdoulaye, T., Adepoju, A. A., Fanifosi, E. G., Adio, M. O., Adeniyi, O. A., & Wasiu, A. (2020). Estimating multidimensional poverty among cassava producers in Nigeria: Patterns and socioeconomic determinants. Sustainability, 12(13), 5366. https://doi.org/10.3390/su12135366.

Weldearegay, S. K., Tefera, M. M., & Feleke, S. T. (2021). Impact of urban expansion to peri-urban smallholder farmers’ poverty in Tigray, North Ethiopia. Heliyon, 7(6), e07303. https://doi.org/10.1016/j.heliyon.2021.e07303.

Birhanu, F. Z., Tsehay, A. S., & Bimerew, D. A. (2021). Heterogeneous effects of improving technical efficiency on household multidimensional poverty: evidence from rural Ethiopia. Heliyon, 7(12), e08613. https://doi.org/10.1016/j.heliyon.2021.e08613.

Tian, F., Wu, B., Zeng, H., Watmough, G. R., Zhang, M., & Li, Y. (2022). Detecting the linkage between arable land use and poverty using machine learning methods at global perspective. Geography and Sustainability, 3(1), 7–20. https://doi.org/10.1016/j.geosus.2022.01.001.

Widiawaty, M. A., Lam, K. C., Dede, M., & Asnawi, N. H. (2022). Spatial differentiation and determinants of COVID-19 in Indonesia. BMC Public Health, 22(1), 1030. https://doi.org/10.1186/s12889-022-13316-4.

Witinok-Huber, R., & Radil, S. M. (2021). Introducing the Local Agricultural Potential Index: An approach to understand local agricultural extension impact for farmer adaptive capacity and gender equity. World Development Perspectives, 23, 100345. https://doi.org/10.1016/j.wdp.2021.100345.

Cerio, C. T., Calalo, F. C., Marasigan, S. B., & Dizon, J. T. (2019). Using counting and participatory approaches in multidimensional poverty assessment: the case of upland farming households in the Philippines. Cogent Social Sciences, 5(1). https://doi.org/10.1080/23311886.2019.1665397.

Zakaria, W. A., Indah, L. S. M., Endaryanto, T., & Hermawan, D. (2022). Income and welfare level of cassava farmers during the Covid-19 pandemic era in Lampung Province. IOP Conference Series: Earth and Environmental Science, 1027(1), 012016. https://doi.org/10.1088/1755-1315/1027/1/012016.

Sen, A. (1999). Development as freedom. Oxford, Oxford University Press.

Published
2023-03-20
How to Cite
Arbianti, A., Rahayu, E. S., & Sutrisno, J. (2023). Multidimensional poverty of cassava farm households in Wonogiri Regency, Indonesia. Agricultural and Resource Economics: International Scientific E-Journal, 9(1), 205-223. https://doi.org/10.51599/are.2023.09.01.10
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Articles

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