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How to assess future agricultural performance under climate change? A case-study on the Veneto region
- Source :
- Agricultural and Food Economics, Vol 7, Iss 1, Pp 1-12 (2019)
- Publication Year :
- 2019
- Publisher :
- SpringerOpen, 2019.
-
Abstract
- In this paper, we have constructed and tested a simple methodology for assessing and predicting climate change effects on agricultural yields. The methodology follows two steps. First, we econometrically estimate the marginal product of key production inputs (e.g., labor and land), through the estimation of production functions. Then, we predict future agricultural sector performance, by assuming a future with climate-induced changes in the land use and in agricultural labor use, under different IPCC scenarios. We also assume that no dramatic technological change in agriculture production will occur in the near future, so that the selected inputs will present the same marginal product. We assume that the agricultural sector might develop differently under different climate change-induced scenarios and that the use of land and labor will change accordingly. In this way, we are able to compute predictions on the agricultural sector performance in the future, under very different circumstances. We apply the methodology for predicting the sector performance of the Veneto region in 2030. Results differ according to the selected IPCC scenario and consequent input use variations. In the selected case study, for instance, land presents a very high productivity and climate-induced changes in the land use might dramatically (positively and negatively) affect agricultural yields under different IPCC scenarios. In this perspective, the climate change adaptation and mitigation policies and options should primarily aim at the preservation of land productivity in Veneto.
- Subjects :
- Economics and Econometrics
Cobb-Douglas/translog production function estimation
010504 meteorology & atmospheric sciences
Natural resource economics
Climate change
Production inputs marginal productivity
lcsh:TX341-641
010501 environmental sciences
01 natural sciences
Marginal product
Economics
ddc:330
Production (economics)
lcsh:Agricultural industries
0105 earth and related environmental sciences
Land productivity
Estimation
Land use
business.industry
Technological change
IPCC
lcsh:HD9000-9495
Agricultural and Biological Sciences (miscellaneous)
Agriculture
business
lcsh:Nutrition. Foods and food supply
Food Science
Subjects
Details
- Language :
- English
- ISSN :
- 21937532
- Volume :
- 7
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Agricultural and Food Economics
- Accession number :
- edsair.doi.dedup.....7aac7720bc70081b3771fae6ce639cdb