Factors Affecting Women’s Participation in Household Decision-Making: Bago Region, Myanmar Rural Area
Keywords:
Women’s participation, Household decision-makingAbstract
The objectives of the study are 1) to analyze the women’s participation in household decision-making, and 2) to identify the factors affecting women’s participation in household decision-making in Myanmar’s rural area. The descriptive quantitative method has been applied to meet the objective of this study, and a structured questionnaire has been used for interviewing 355 rural women who received microfinance services from Early Dawn Microfinance, Myanmar. Simple random sampling method has been used to identify the number of respondents. According to the regression analysis of SPSS version 29.0, micro-credit (.126; p=0.002) and financial literacy (0.410; p=0.001) have significantly positive effect on women’s household decision-making. Additionally, studied women seem to have significant participation in decision-making in household economics, social and household affairs. However, women still have less decision-making participation in household maintenance, large purchases, and financial decision-making than other decision-making areas. It indicated that certain traditional attitudes towards gender role that hinders women’s full participation in some areas of household decisions. According to the study results, microfinance services especially micro-credit, financial literacy and gender equality are important strategies to enhance the participating of Myanmar rural women’s household decision-making.
References
Sajjad Kabir SM. Household Decision Making Process of Rural Women in Bangladesh. IOSR Journal of Humanities and Social Science. 2013; 10(6): 69–78.
Myanmar: share of rural population 2022 | Statista [Internet]. [cited 2024 Jul 1]. Available from: https://www.statista.com/statistics/761005/myanmar-share-of-rural-population/
Osamor PE, Grady C. Women’s autonomy in health care decision-making in developing countries: A synthesis of the literature. Int J Womens Health. 2016 Jun 7; 8: 191–202.
Fike R. Economic Freedom and the Lives if Women:An Empirical Analysis [Unpublished Doctoral Dissertation]. US: The Florida State University; 2015.
Department of Population. The Republic of the Union of Myanmar Bago Region, Bago District [Internet]. 2017 Oct. Available from: www.dop.gov.mm
Early Dawn Microfinance [Internet]. [cited 2024 Jul 4]. Available from: https://www.dawn.com.mm/en/early-dawn-microfinance/
Zheng H, Zhou Y, Rahut DB. Smartphone use, off-farm employment, and women’s decision-making power: Evidence from rural China. Rev Dev Econ [Internet]. 2023 Aug 1 [cited 2023 Aug 24]; 27(3): 1327–53. Available from: https://onlinelibrary.wiley.com/doi/full/10.1111/rode.12966
Seidu AA, Ahinkorah BO, Hagan JE, Ameyaw EK, Abodey E, Odoi A, et al. Mass Media Exposure and Women’s Household Decision-Making Capacity in 30 Sub-Saharan African Countries: Analysis of Demographic and Health Surveys. Front Psychol. 2020 Oct 28; 11.
Karna Scholar M, Bari Jhunjhunu P. Role of microfinance to enhance the decision-making power of women. International Journal of Research and Analytical Reviews (IJRAR) [Internet]. 2020; 336. Available from: http://www.ijrar.org
Mayoux Linda. Women’s empowerment through sustainable micro-finance:Organizational gender training [Internet]. 2005 [cited 2024 Jul 2]. Available from: http://gamechangenetwork.org/wp-content/uploads/2020/Taraqee-Report_AgaKhanFoundationPakistan_2005_Mayoux.pdf
Mayoux L. Women ending poverty; the WORTH program in Nepal, empowerment through literacy, banking and business 1999-2007. Valley Research Group.hrrps://bit.ly/2I5dXwg. 2008;
Odewale B, Azuh DE, Oladosun M. Socio-demographic factors and women’s autonomy in household decision-making knowledge Evaluation in contraceptive behavior view project. Innovations [Internet]. 2023 Mar 27 [cited 2024 Jul 4]; Available from: https://www.researchgate.net/publication/370650439
Sen KK, Islam M, Hasan MM. Socio-economic and Demographic Determinants of Women’s Household Decision Making Autonomy in Bangladesh: A Cross-sectional Study. Dhaka University Journal of Science. 2018 Jul 26; 66(2): 115–20.
Kaur R, Singh B, Kaur Sandhu L, Kaur G, college K, Guru I. Dimensions of women Autonomy in Household Decision making in Rural Punjab. International Journal of Sustainable Development [Internet]. 2018; 11(1): 11–40. Available from: http://www.ssrn.com/link/OIDA-Intl-Journal-Sustainable-Dev.html
Yamane T. Statistics: An Introductory Analysis. 2nd ed. US: Harper & Row; 1973.
Gwelo AS. Principal components to overcome multicollinearity problem. Oradea Journal of Business and Economics [Internet]. 2019 [cited 2024 Sep 20]; 4(1): 79–91. Available from: http://ojbe.steconomiceuoradea.ro/.
Skrivanek S. The Use of Dummy Variables in Regression Analysis What is a Dummy variable? [Internet]. 2009. Available from: http://www.moresteam.com
Moidunny K. The effectiveness of the national professional qualification for educational leaders(NPQEL) [Unpublished Doctoral Dissertation, Bangi]. Malaysia: The National University of Malaysia; 2009.
Mohamad HM, Afizah Asman NS, Mirasa AK, Saad I, Bolong N, Steven CCK, et al. A consistency check of concrete compressive strength using pearson’s correlation coefficient. Civil Engineering Journal (Iran). 2021 Mar 1; 7(3): 541–8.
Frost J. Introduction to statistics : an intuitive guide for analyzing data and unlocking discoveries. 1st ed. Statistics by Jim; 2020.
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