Modeling the Dynamics of Agricultural Investment and Output: A Statistical-Planning Approach to Sustainable Regional Development
- Country : Iraq
- Subject : Management Economics Banking
Keywords : Applied statistics, Full Information Maximum Likelihood, Sustainable development, Economic and spatial factors, R and MINITAB software.
Abstract
This study investigates the direct and indirect effects of key variables influencing agricultural investment and local agricultural output over the period 2004–2024. The research employs the Full Information Maximum Likelihood (FIML) estimation technique, implemented using both R and MINITAB software packages, to estimate the structural parameters of the proposed econometric model.
By integrating applied statistics with urban and regional planning frameworks, this paper aims to provide a comprehensive understanding of the spatial and economic dimensions of agricultural performance. The results are particularly relevant for planning authorities and policymakers involved in the formulation of sustainable development strategies, as they reveal the responsiveness of the agricultural sector to economic, spatial, and infrastructural factors. This interdisciplinary approach not only enhances the accuracy of statistical inference but also strengthens the alignment between agricultural policy and broader regional development goals.
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