Published date:Feb 19 2025

Journal Title: KnE Social Sciences

Issue title: The International Conference on Economic and Sustainable Development (ICESIDE)

Pages:61 - 71

DOI: 10.18502/kss.v10i5.18099

Anita Kristinaanita.kristina@trunojoyo.ac.idDepartment of Economics, Faculty of Economic and Business, Universitas Trunojoyo Madura

Muhamad Abdul JumaliDepartment of Industrial Engineering, Faculty of Engineering, Universitas PGRI Adibuana Surabaya

This study aims to analyze the productivity of siwalan farmers engaged in the production of brown sugar in Aeng Panas village, Madura, Indonesia. The analysis is conducted from social, historical, production, and demographic perspectives. The study seeks to reconstruct the productivity of Siwalan farmers through demographic analysis, highlighting the challenges posed by changes in the agricultural work environment over time, considering that the brown sugar business has been a part of their heritage. The method used is rapid ethnography, incorporating data collected through interviews. The study reveals that changes and expansion of land areas or the adoption of modern work safety technology do not influence the productivity of palm sugar farmers in brown sugar production. Instead, the productivity value is shaped by the labor structure pattern, the working class hierarchy, and the patriarchal mindset, which have undergone minimal changes over time. The findings of this study contribute to the understanding that productivity in this context is largely influenced by labor demographics, specifically the social patterns within the farmer’s work environment.

Keywords: productivity, labor structure, working class hierarchy, patriarchal mindset

[1] Paltán HA, Benítez FL, Narvaez M, Mateus C, Mena CF. Water security and agricultural systems in the Galapagos Islands: vulnerabilities under uncertain future climate and land use pathways. Front Water. 2023 Sep;5:1245207.

[2] Leduc G, Billaudet L, Engström E, Hansson H, Ryan M. Farmers’ perceived values in conventional and organic farming: A comparison between French, Irish and Swedish farmers using the Means-end chain approach. Ecol Econ. 2023 May;207:107767.

[3] Billari FC. Demography: fast and Slow. Popul Dev Rev. 2022 Mar;48(1):9–30. Available from: https://pubmed.ncbi.nlm.nih.gov/35911176/

[4] Achildieva N. Basic Concepts About Demography and Demography Vocabulary. Zenodo; 2022. Available from: https://doi.org/10.5281/zenodo.7459335.

[5] James P, Gansen S, Kugler T, Rhamey JP. People and Places: The Contextual Side of Politics in Demography and Geography. Social Sciences 2023, Vol 12, Page 456. 2023 Aug 15;12(8):456. https://www.mdpi.com/2076-0760/12/8/456/htm

[6] Ortega AA. Toward critical demography 2.0. 2023 May 29;16(3):343–54. https://journals.sagepub.com/doi/10.1177/19427786231176787

[7] Allayerovich PJ. (Peremkulov). History of Demography of Industrial Cities of Tashkent Region. International Journal on Integrated Education. 2021;4(12):80–7. Available from: https://www.neliti.com/publications/352421/

[8] Surendran A, McSharry J, Meade O, Meredith D, McNamara J, Bligh F, et al. Barriers and facilitators to adopting safe farm-machine related behaviors: A focus group study exploring older farmers’ perspectives. J Safety Res. 2024 Sep;90:19–30.

[9] O’Connor T, Kinsella J, O’Hora D, McNamara J, Meredith D. Safer tomorrow: irish dairy farmers’ self-perception of their farm safety practices. J Safety Res. 2022 Sep;82:450–8.

[10] Akyala A, Ayanlade A, Adeyeye O, Oluwatimilehin IA. Gender-responsive approaches to rapid climate warming among smallholder farmers. Curr Res Environ Sustain. 2023 Jan;5:100219.

[11] Lyudmila M, Svitlana B. Demographic situation in the regions of Ukraine as a pre- requisite of labor potential formation and development. Human Geography Journal. 2019 Dec 10;27(0):81–9. https://periodicals.karazin.ua/socecongeo/article/view/15416

[12] Ahmed H, Ekman L, Lind N. Planned behavior, social networks, and perceived risks: understanding farmers’ behavior toward precision dairy technologies. J Dairy Sci. 2024 May;107(5):2968–82.

[13] Baysan C, Dar MH, Emerick K, Li Z, Sadoulet E. The agricultural wage gap within rural villages. J Dev Econ. 2024 May;168:103270.

[14] Vindrola-Padros C. Rapid Ethnographies: A Practical Guide. Rapid Ethnographies: A Practical Guide. 2021 Jan 1;1–172. https://www.cambridge.org/core/books/rapid-ethnographies/006D8F2E952A095720A46C1BD28157EA

[15] Comola M, Inguaggiato C, Mendola M. Social networks and economic transformation: evidence from a resettled village in Brazil. J Econ Behav Organ. 2024 May;221:17–34.

[16] Martinelli RR, Damasceno JC, de Brito MM, da Costa VD, Lima PG, Bánkuti FI. Horizontal collaborations and the competitiveness of dairy farmers in Brazil. Journal of Co-operative Organization and Management. 2022 Dec;10(2):100183.

[17] Nowack W, Popp TR, Schmid JC, Grethe H. Does agricultural structural change lead to a weakening of the sector’s social functions? – A case study from north-west Germany. J Rural Stud. 2023 May;100:103034.

[18] Weiss M, Weiss D, Zacher H. All set in stone? How essentialist beliefs about aging affect older workers’ motivation to continue working beyond retirement age. J Organ Behav. 2022 Oct;43(8):1446–61. Available from: https://www.econstor.eu/handle/10419/266712

[19] Zhang W, Xu Z. Gender Norms and Household Labor: Time Use in the Context of Social Class Differentiation in Transitional China. 2021 Mar 18;54(1):106–21. https://journals.sagepub.com/doi/10.1177/0486613421990444

[20] Kynaston C. The everyday exploitation of women: housework and the patriarchal mode of production. Womens Stud Int Forum. 1996 May;19(3):221–37.

[21] Nolan B, Weisstanner D. Rising income inequality and the relative decline in subjective social status of the working class. West Eur Polit. 2022;45(6):1206–30.

[22] Onur B. Class and space: Residential differentiation in industrial city Karabük. GRID - Mimarlιk Planlama ve Tasarιm Dergisi. 2023 Jan 30;6(1):56–81. https://dergipark.org.tr/tr/pub/grid/issue/75673/1036525

[23] Fukase E, Kim YS, Chiarella C. Exploring the gender gap in agricultural productivity: evidence from Sri Lanka. Dev Policy Rev. 2024 Sep;42(5):e12800. Available from: https://onlinelibrary.wiley.com/doi/full/10.1111/dpr.12800

[24] Salameda GM, Lascano ME, Cabauatan RR. Factors Affecting the Agricultural Productivity in the Philippines. International Journal of Research in Engineering, Science and Management. 2023 Nov 26;6(11):131–8. https://journal.ijresm.com/index.php/ijresm/article/view/2867