The effect of climate variability on Colombian coffee productivity: A dynamic panel model approach. (May 2021)

• Record Type: Journal Article
• Authors: Ceballos-Sierra, Federico; Dall'Erba, Sandy
• Is Part Of: Agricultural systems. Volume 190(2021)
• Publication Date: 2021-05
• Subjects: Production function -- Altitude -- Global Circulation Models -- Prediction; Agricultural systems -- Periodicals; Agriculture -- Environmental aspects -- Periodicals; 338.16
• DOI: 10.1016/j.agsy.2021.103126
• Languages: English
• ISSNs: 0308-521X

Abstract

Abstract: Context: Coffee is one of the trademarks of Colombia. Currently, up to a half million Colombian families depend directly on coffee production for their livelihoods. As such, there has been increasing concerns about how coffee productivity will react to changing climate conditions and how coffee growers could adapt their production practices. Objective: This paper is one of the first to estimate the production function of Colombian coffee at the municipal level and to make projections about its future productivity. Methods: Using a panel dataset measured across municipalities over 2007–2013, we find that productivity depends on altitude as well as on March temperature and precipitation. We estimate projections based on the 2.6, 4.5, and 6.0 Representative Concentration Pathways derived from Global Circulation Models. Results and conclusions: We find that productivity over 2041–2060 is expected to increase by 7.6% on average. However, we find that this forecast varies greatly according to altitude. Indeed, municipalities above median elevation will increase their productivity by 16%, while those below the median will experience a 8.1% decrease in productivity. Significance: Our result implies that place-tailored strategies for coffee production in Colombia are required to adapt to changing climate conditions in the future. Graphical abstract: Unlabelled Image Highlights: Colombia is a major coffee producer and there is uncertainty about the effect of climate variability at the municipal level. We estimate a dynamic panel model and use it to forecast productivity at the municipal level for 2041–2060. Productivity will increase by 7.6% nation-wide and 16.7% in high-altitude municipalities. It will decrease by 8.16% in low-altitude municipalities. Although productivity on average will rise, attention must be paid to areas that will be less productive. The government and coffee institutions must facilitate crop shifting efforts in areas expected to decrease productivity.