Conceptual model of rural agricultural productivity

• Héctor Acacio Zerpa Ramírez Universidad Nacional Experimental Politécnica Antonio José de Sucre UNEXPO
• Henry Izquierdo Universidad Nacional Experimental de Guayana, Venezuela.
• Ricardo Chaparro Instituto Nacional de Investigaciones Agropecuarias INIA, Venezuela.

DOI: https://doi.org/10.46925//rdluz.32.04

Keywords: endogenous development, industrial district, value chain, productivity, conglomerate, MoPAR

Abstract

Hundreds of millions of rural families are caught in a cycle of low agricultural productivity, leading to unnecessary suffering that hinders agricultural development and economic growth in general. The purpose of the article is to contribute to the search for possible solutions to the problem of low productivity in the agricultural area, of the people who live in the fields and in particular those inhabitants who dedicate themselves and depend on agriculture as a means of subsistence. The problem is the loss of human rights, primarily in rural populations. Taking these considerations into account, a conceptual framework and an analytical approach capable of operationalizing and therefore achieving establish the conceptual model of rural agricultural productivity was proposed, with the objective of integrating and studying the variables that allow explaining a determining effect on the income of producers, said income is the result of applying a model that naturally guarantees an economic, social and environmental balance. The research was framed within the analytical methodological approach. The model was proposed based on previous studies based on agri-food models, progress indexes, productivity models, analysis of value chains, endogenous development, conceptual frameworks, analytical approaches and industrial districts; allowing the aforementioned model to emerge as an unprecedented methodology called the Conceptual Model of Rural Agricultural Productivity (MoPAR), which will be a technological tool that will be delivered to the producers in order to be included in their decision-making tools.

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