10th International Conference on Agricultural Statistics

10th International Conference on Agricultural Statistics

Reginal Economics in Agronomy Sub-sector with Numerical Taxonomy Technique Case study: The Priority Setting of Proveniences of Iran

Conference

10th International Conference on Agricultural Statistics

Format: CPS Abstract - ICAS 2026

Keywords: agricultural census, agricultural statistics, data_disaggregation, developing, geodata, spatial statistics, sustainable development goals

Abstract

For more production we need more capital formation. Capital formation in each country should be based on comparative advantages in different economic sectors due to the different production possibility curves. In regional planning, recognizing the relative advantages and consequently investing in more production requires identifying areas with the necessary capabilities and location of each region compared to other regions. In this article, I’m ranking Iran's provinces according to the specific and given variables as the best investment position in agricultural activity. So we can provide the necessary background for investment analysis in different regions of the country to formulate national and regional planning and execute investment projects along with the sustainable development goals (SDGs). I have used factor analysis technique and numerical taxonomy analysis to do this. At first, the provinces are homogenized and graded according to the variables using cross-sectional data obtained from the last agricultural census and population and housing census of Iran as data matrix. The results show that which provinces have the most potential for capital formation in agronomy sub-sector.

Keywords
Reginal Economics, Agriculture Production, Capital Formation, Spatial economics, numerical Taxonomy Analysis, Regional planning, Sustainable Development Goals (SDGs), Regional Ranking

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