The Modelling of Irrigation Allocation in Croatia

Abstract

Using zero-inflated Poison and negative binominal models to account for zero observations and binominal regression in the data, this study examines how irrigation patterns in Croatia vary across municipalities, with differing agricultural structures, income levels, human capital, fiscal revenues, unemployment rates, development intensities and voting profiles. The target population was irrigation adopted by farmers across Croatia and included 548 municipalities. Irrigation as a type of public good is a form of targeted economic development policy that benefits production. This research examines the following hypothesis: Do municipalities in Croatia adopt irrigation to benefit economically depressed regions and what types of agricultural structures predict the adoption of irrigation?

Keywords

• count-data modelling
• Croatia
• irrigation
• logit regression
• municipalities