Designing a model for developing local business for rural women Iran with a sustainable development approach.

Autor: Noorani, Farideh, Farajallah Hosseini, Seyed Jamal, Omidi Najafabadi, Maryam
Předmět:
Zdroj: Discover Sustainability; 9/2/2024, Vol. 5 Issue 1, p1-18, 18p
Abstrakt: This study endeavors to formulate a sustainable development-oriented model for home-based businesses catering to rural women in Guilan province. Employing a qualitative-quantitative research approach, the study is practical in its objectives and relies on survey methods for data collection. The research population encompasses two main groups: the first group involves academic professionals, scholars, and managers or experts from provincial organizations dedicated to employment and women's issues, while the second group comprises 274 purposefully sampled individuals, including owners, managers, and women affiliated with micro-credit funds in Guilan province, selected through the snowball technique. Semi-structured interviews were conducted to gather data, and the Smart-PLS software package utilized the partial least squares (PLS) technique for advanced multivariate analysis in structural equation modeling. Evaluation of the home-based business development model for rural women, based on the coefficients of the direct path, reveals that educational (β = 0.112), social (β = 0.232), economic (β = 0.274), and policymaking (β = 0.381) variables significantly influence the sustainable development of home-based businesses (P < 0.05). Notably, the policymaking variable exerts the most substantial impact. Furthermore, the model designed for sustainable development can account for 71 percent of the variance in the dependent variable. It is recommended that the government should allocate financial resources specifically for rural women house-based businesses and policies should prioritize and actively support home-based businesses, recognizing their significant impact on rural women's economic development. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index