A Study on the Role of Linear Programming in Optimizing Resource Allocation for Enhancing Employment Opportunities in Rural Economies
DOI:
https://doi.org/10.31305/rhimrj.2026.v13n06.013Keywords:
Linear Programming, Resource Allocation, Rural Employment, Operations Research, Simplex Method, Rural Development, Optimization Technique, UnderemploymentAbstract
Rural economies in developing countries continue to face persistent challenges of underemployment, seasonal joblessness, and inefficient utilisation of scarce productive resources such as land, labour, capital and water. Linear Programming (LP), a well-established quantitative technique within Operations Research, provides a systematic and objective framework for allocating limited resources among competing activities in a manner that maximises a desired outcome, such as employment generation or income, subject to a defined set of constraints. This article examines the applicability and effectiveness of Linear Programming in optimising the allocation of rural productive resources with the specific objective of maximising employment generation in a representative rural economy. Adopting a descriptive-cum-analytical research design supported by secondary literature and an illustrative resource-allocation model, the study formulates an LP problem comprising an objective function and a set of binding resource constraints, and solves it through the simplex approach with the aid of sensitivity analysis. The results demonstrate that a scientifically formulated LP model is capable of generating substantially higher employment per unit of available resource than conventional, non-optimised allocation practices. The article concludes that rural development planners, cooperative institutions, panchayati raj bodies and micro-finance agencies can meaningfully adopt LP-based decision-support tools to design more employment-intensive resource allocation strategies, thereby contributing to inclusive rural growth and a reduction in disguised and seasonal unemployment.
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