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POVERTY LEVEL OF TOBACCO PRODUCER HOUSEHOLDS IN EASTERN JAVA PROVINCE (CASE STUDY OF TOBACCO FARMERS IN SITUBONDO REGENCY)

Dita Atasa  -  Agribusiness, Faculty of Agriculture, Universitas Pembangunan Nasional Veteran Jawa Timur, Surabaya, East Java, Indonesia, Indonesia
*Dona Wahyuning Laily  -  Agribusiness, Faculty of Agriculture, Universitas Pembangunan Nasional Veteran Jawa Timur, Surabaya, East Java, Indonesia, Indonesia
Ida Syamsu Roidah  -  Agribusiness, Faculty of Agriculture, Universitas Pembangunan Nasional Veteran Jawa Timur, Surabaya, East Java, Indonesia, Indonesia
Noor Rizkiyah  -  Agribusiness, Faculty of Agriculture, Universitas Pembangunan Nasional Veteran Jawa Timur, Surabaya, East Java, Indonesia, Indonesia
Fatchur Rozchi  -  Agribusiness, Faculty of Agriculture, Universitas Pembangunan Nasional Veteran Jawa Timur, Surabaya, East Java, Indonesia, Indonesia
Open Access Copyright 2024 Agrisocionomics: Jurnal Sosial Ekonomi Pertanian under http://creativecommons.org/licenses/by-sa/4.0.

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Abstract

In this study using Farmer Income Survey (SPP) data, in the 2022 agricultural research survey, it was proposed to identify the impact of individuals on poverty levels in tobacco farming households in Situbondo Regency. The data sample used is 200 farmers who work in the agricultural sector of tobacco farming. Based on the results of descriptive analysis, it was concluded that the category of the age group was less than 25 years, with a minimum of elementary school education, the number of household members less than 4 people and the head of the household the number of poor people was higher in farmers who were more than 25 years old, had elementary school education, had more of 4 household members, and has a female head of household. Households (KRT) who are female have a greater number of poor groups than those who are not poor. Based on binary logistic regression analysis showed that age, education, number of household members, employment status, and gender of the head of the household had a statistically significant effect on the poverty status of tobacco farmers in the tobacco farming sector in Situbondo Regency. Farmers in tobacco farming who are between 45 and 64 years old, well educated, have few household members, are self-employed and have a male head of household tend to be less poor.

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Keywords: biner logistic regression, poverty line, worker

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  1. Agustiyani, R. (2010). Faktor-faktor yang Mempengaruhi Status Kemiskinan Pekerja di Indonesia (Analisa Data Susenas dan Sakernas 2008). Universiras Indonesia, Depok: Tesis Program Pascasarjana. Retrieved from https://lib.ui.ac.id/detail?id=20341984&lokasi=lokal
  2. Arranz, J., Serrano, C., & Hermanz, V. (2019). Job Quality Differences Among Younger and Older Workers in Europe: The Role of Institutio. Social Science Research. Retrieved From https://pubmed.ncbi.nlm.nih.gov/31674337/
  3. Badan Pusat Statistik. (2020). Statistik Nilai Tukar Petani. Jakarta: BPS. From https://www.bps.go.id/
  4. Bogale, A., Hagerdorn, K., & Korf, B. (2013). Determinants of Poverty in Rural Ethiopia. Quarterly Journal of International Agriculture, 101-120. Retrived From https://www.zora.uzh.ch/id/eprint/64170/
  5. Bokosi, F. (2016). Household Poverty Dynamics in Malawi. MPRS Paper
  6. Boudet, A. M., Buitrago, P., Briere, B. L., Newhouse, D., Matulevich, E. R., Scott, K., & Becerra, P. S. (2018). Gender Differences in Poverty and Household Composition through the Life-cycle. World Bank Group. Retrieved from https://documents1.worldbank.org/curated/en/135731520343670750/pdf/WPS8360.pdf
  7. Cutler, D. M., & Muney, A. L. (2011). Understanding Differences in Health Behaviors by Eduacation. NIH Public Access, 29(1), 1-28. doi: doi:10.1016/j.jhealeco.2009.10.003. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2824018/pdf/nihms156573.pdf
  8. Dinlersoz, A., Hyatt, H., & Janicki, H. (2019). Who Works for Whom? Worker Sorting in a Model of Entrepreneurship with heterogeneous Labor Markets. Review of Economic Dynamics, 244-266. https://henryrhyatt.com/wp-content/uploads/who_works_for_whom.pdf
  9. Djurfeltd, A., Djurfeltd, G., & Lodin, J. (2013). Geography of Gender Gaps: Regional Patterns of Income and Farm-nonfarm Interaction Among Male and Female Headed Households in Eight African Countries. World Development , 32-47. https://ideas.repec.org/a/eee/wdevel/v48y2013icp32-47.html
  10. Eurofound. (2010). Working Poor in Europe Fundation for Improvement of Living and Working Condition. Retrieved 10 04, 2023 from http//:www.eurofound.europa.eu
  11. Habibullah, M. (2020). Enam Faktor yang Mempengaruhi Kemiskinan Versi BPS. Jakarta. From kontan.co.id
  12. Igbalajobi, O., Fatuase, A., & Ajibefun , A. (2013). Determinants of Poverty Incidence Among Rural Farmers in Ondo State, Nigeria . American Journal of Rural Development, 131-137. http://pubs.sciepub.com/ajrd/1/5/5/index.html
  13. Kurniawan, F. E. (2021). The Dilemma of Agricultural Mechanization and the Marginalization of women Farmworkes in Riural Areas. Sodality: Jurnal Sosiologi Pedesaan, 02. doi: https://doi.org/10.22500/9202132575https://www.semanticscholar.org/paper/Community-decision-making-based-on-social-capital-Prayitno-Dinanti/3b0c42e25b16236124967ecfc204a9db2f6db9dc?p2df
  14. Li, L. (2022). Reskilling and Upskilling the Future-ready Workforce for Industry 4.0 and Beyond. PMC PubMed Central, 1-16. doi: 10.1007/s10796-022-10308-yhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278314/pdf/10796_2022_Article_10308.pdf
  15. Li, Z., Chu, Y., & Fang, H. (2022). Hierarchical Education Investment and Economic Growth in China. Sage Journal, 12(2). doi: https://doi.org/10.1177/21582440221108159https://journals.sagepub.com/doi/epub/10.1177/21582440221108159
  16. Ma, L., Wang, S., & Wastfelt, A. (2022). The Poverty of Farmers in a Main Grain-Producing Area in Northeast China. MDPI, 11(5). doi: https://doi.org/10.3390/land11050594https://www.mdpi.com/2073-445X/11/5/594
  17. Marpaung, Junpa, & Tjarsono, I. (2018). Peran International Labour Organization (ILO) dalam Melindungi Pekerja Anak di Thailand Tahun 2010-2014. Jurnal Online Mahasiswa Fakultas Ilmu Sosial dan Ilmu Politik Universitas Riau, 5(1), 1-13. https://jom.unri.ac.id/index.php/JOMFSIP/article/view/16687/16112
  18. Muhtarom, A., Haryanto, T., Istifadah, N., Wulansari, D., Wasiaturrahma, Purmiyati, A., & Afin, R. (2020). Productivity and Poverty Rural Farm Plants: Case Study in Jawa Timur, Indonesia. International Journal of Management (IJM), 11(8), 694-708. doi: 10.34218/IJM.11.8.2020.064https://repository.unair.ac.id/113831/1/Atik%20Purmiyati_Karil2.1_Produvtivity%20and%20poverty%20rural.pdf
  19. Nachrowi, A., & Usman, H. (2005). Penggunaan Teknik Ekonometrika (Edisi Revisi). Jakarta: PT. Grafindo Persada
  20. Nurjihadi, M., & Dharmawan, A. (2016). Lingkaran Setan Kemiskinan Dalam Masyarakat Perdesaan Studi Kasus Petani di Kawasan Perdesaan Pulau Lombok. Jurnal Sosiologi Perdesaan, 120-127. https://jom.unri.ac.id/index.php/JOMFSIP/article/view/16687
  21. Sartika, C., Balaka, M. Y., & Rumbia, W. A. (2016). Studi Faktor-faktor Penyebab Kemiskinan Masyarakat Desa Lohia Kecamatan Lohia Kabupaten Muna. Jurnal Ekonomi, 1(1), 106-118. https://ojs.uho.ac.id/index.php/JE/article/view/976/621
  22. Sekhampu, T. (2013). Determinants of Poverty in a South African Township. Journal Social Science, 145-153. https://www.tandfonline.com/doi/abs/10.1080/09718923.2013.11893126
  23. Setowati, I. L., Sasongko, & Rumbia, W. A. (2018). Farmer Exchange Rate and Agricultural Land Conversion Analysis to Agricultural Sektor Poverty in Indonesia. Jurnal Ekonomi dan Studi Pembangunan, 10(1)
  24. Sharma, R., & Singh, G. (2015). Agricultural Technologies Acces and Farmer Household's Welfare; Evidence from India. Millineal Asia, 19-43. https://www.researchgate.net/publication/277594720_Access_to_Modern_Agricultural_Technologies_and_Farmer_Household_Welfare_Evidence_from_India

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