Forecasting technological change in agriculture—An endogenous implementation in a global land use model

By J. Dietrich, C. Schmitz, H. Lotze-Campen, A. Popp, Christoph Müller. 2014

133 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/2fc85e6e495e5938dc79195feee592dc1fb8ba00

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. D. P. Vuuren
2. Elmar Kriegler
3. Katherine Calvin
4. Keywan Riahi
5. Shinichiro Fujimori
6. A. Popp
7. H. Meijl
8. Andrzej Tabeau

In Management, Monitoring, Policy and Law

1. Elmar Kriegler
2. D. P. Vuuren
3. Keywan Riahi
4. Sherman Robinson
5. Stephanie T. Waldhoff
6. L. Savard

Citations in the corpus

• Climate change effects on agriculture: Economic responses to biophysical shocks (2013, methodology): “Finally, endogenous yield adjustments can differ widely between a CGE, which represents substitution with factors such as capital and labor; a bottom-up model like GLOBIOM, which explicitly represents switches between different management systems and the relocation of production between different gr”
• Large-scale bioenergy production: how to resolve sustainability trade-offs? (2018, methodology): “For meeting the demand, the model endogenously decides, based on cost-effectiveness, about the level of intensification (yield-increasing technological change), extensification (LUC), and production relocation (intra-regionally and inter-regionally through international trade) [30, 31].”
• A multi-model assessment of food security implications of climate change mitigation (2019, unknown): “47 48 Acknowledgement; 49 SFu, TH, and KT are supported by JSPS KAKENHI Grant Number JP16K18177, JSPS 50 Overseas Research Fellowships, and the Environment Research and Technology 51 Development Fund (2-1702) of the Environmental Restoration and Conservation Agency of 52 Japan.”
• Land-use futures in the shared socio-economic pathways (2017, methodology): “These models are driven by the same projections of economic growth (Dellink et al., this special issue; Dietrich et al., 2014) and population (KC and Lutz, this special issue), developed for the SSPs.”
• Fossil-fueled development (SSP5): An energy and resource intensive scenario for the 21st century (2017, unknown): “…endogenously decides, based on cost-effectiveness, about intensi-fi cation of agricultural production (TC), cropland expansion and production relocation (intra-regionally and inter-regionally through international trade) (Dietrich et al., 2014; Lotze-Campen et al., 2010; Schmitz et al., 2012).”
• Agriculture and climate change in global scenarios: why don't the models agree (2014, background): “…yields are a function of both exogenous and endogenous elements in all models except MAgPIE, where there is no exogenous yield change component (see Dietrich et al., 2013 for a discussion of how MAgPIE models yield change) and AIM and GCAM where there is no endogenous response of yields to price…”