Agriculture Development: Inputs-Outputs Dimension

Abstract

When the basic unit of agriculture, i.e., land use, changes over time, then what about other input aspects and outputs result? This background intuitive is answered in this chapter entitled “Agricultural Development: Inputs-Outputs Dimension.” This chapter analyzes the impact of physical and non-physical determinants on agricultural outputs and agricultural development as well. Two null hypotheses are tested in the chapter. The data standardization techniques, composite index, regression, weightage index, Karl Pearson correlation of coefficient, Gibbs-Martin diversification index, and Yang’s yield index of productivity have been used in the chapter. This chapter is based on secondary data sources. The QGIS tool is used to display data on maps which locates large data sets into spatial context. The chapter shows that non-physical inputs play a dominant role over physical inputs on total agricultural outputs of the district. And, non-physical input is significantly associated with agricultural outputs especially crop diversification over the years. The overall agricultural development is based on composite inputs-outputs indices which reveal that the district has experienced development across land size classes but pace of it is higher under marginal land size class than the other land size groups.