The need to enhance food security while reducing poverty along with the growing threat imposed by climate change clearly reveal that it is imperative to accelerate agricultural productivity growth. This paper estimates micro-level production models to identify the major factors that have...

This paper aims at modeling a global CGE trade model for the EU15 subnational regions. This model is used to assess production reallocation across sectors in each EU15 region, assuming a scenario in which world tariff liberalization is implemented in the agricultural sector. The model is...

Deficits in physical infrastructure, problems with availability of agricultural inputs and poor access to agriculture-related information are the major constraints on the growth of agricultural productivity in India. The more rapid growth of mobile telephony as compared to fixed line telephony...

This paper presents the impact evaluation of CRIAR program, implemented in rural areas in Bolivia. The objective of CRIAR is to increase smallholders' agricultural income and food security through productivity improvements triggered by technological adoption. In this study, we use data from a...

Climate change, especially the warming trend experienced by several countries, could affect agricultural productivity. As a consequence, rural incomes will change, and with them the incentives for people to remain in rural areas. Using data from 116 countries between 1960 and 2000, we analyze...

This study estimates Climate Adjusted Total Factor Productivity (CATFP) for agriculture in Latin America and Caribbean (LAC) countries, while also providing comparisons with several regions of the world. Climatic variability is introduced in Stochastic Production Frontier (SPF) models by...

This paper analyzes total factor productivity growth in agriculture in Latin America and the Caribbean between 1961 and 2007 employing the Malmquist Index, a non-parametric methodology that uses data envelopment analysis (DEA) methods. The results show that among developing regions, Latin...

Ricardian (hedonic) analyses of the impact of climate change on farmland values typically assume additively separable effects of temperature and precipitation. Model estimation is implemented on data aggregated across counties or large regions. We investigate the potential bias induced by such...