A computational model for gender asset gap management with a focus on gender disparity in land acquisition and land tenure security

TL;DR

This paper introduces a comprehensive computational framework that measures gender disparities in land acquisition and tenure security, accounting for cultural and policy influences to improve assessment accuracy and policy interventions.

Contribution

It presents a novel measurement model that incorporates cultural and policy factors, enhancing the understanding of gender asset gaps in land ownership.

Findings

The framework captures cultural differences in land ownership disparities.

It provides a standardized metric for assessing gender asset gaps.

The model aids in designing targeted policy interventions.

Abstract

Gender inequality is a significant concern in many cultures, as women face significant barriers to asset acquisition particularly land ownership and control. Land acquisition and land tenure security are complex issues that affect various cultural groups differently, leading to disparities in access and ownership especially when superimposed with other socio-economic issues like gender inequality. Measuring the severity of these issues across different cultural groups is challenging due to variations in cultural norms, expectations and effectiveness of the measurement framework to correctly assess the level of severity. While nominal measures of gender asset gap provide valuable insights into land acquisition and tenure security issues, they do not fully capture the nuances of cultural differences and the impact of governmental and corporate policies that influence gender disparity in land ownership and control. The proposed framework aims to fill this gap by incorporating cultural and policy factors in developing a new measurement framework equipped with a more robust, comprehensive metric to standardize the approach to assessing the severity of gender asset disparity in a general sense but with a focus on land acquisition and tenure security to engender more effective interventions and policy recommendations.