| Delince, J. Spain, Germany | 2015 | 73 countries, EU-27 Norway, Turkey, China, Western Balkans. Canada, USA, Brazil, South and Central America, former Soviet Union, Middle-East, North Africa, sub-Saharan Africa, India, South-East Asia, Australia, New Zealand (Multiple Continents) | Prospective- cohort | AgMIP approach, horizontal model inter comparison from 11 economic models (six are CGE models (AIM, ENVISAGE, EPPA, FARM, GTEM, MAGNET), whereas the rest (GCAM, GLOBIOM, IMPACT, MAgPIE), including CAPRI, are PE multimarket models | 2000-2050, (1980-2012) climate data | lower consumption levels dropping on average between 0.6% and 2.8% in China. |
| Gohar, A. A. Barbados | 2016 | island of Barbados NORTH AMERICA | Cross Sectional | Mathematical Programming Techniques, Nonlinear Dynamic Framework | 1989-2012 | Sugarcane consumption drop 5% |
| Gohar, A. A. Barbados | 2018 | island of Barbados NORTH AMERICA | Prospective- cohort | Representative Concentration | 2018-2100 (1995-2100) | NR |
| Lee, H. L. Taiwan | 2009 | 18 agro-ecological zones of all countries/regions in the world-OECD countries, China, Africa, Middle-east, North Latin America, the Caribbean, REF = Central, Eastern Europe, Newly independent states of the former Soviet Union Sub-Saharan Africa (Multiple Continents) | Prospective- cohort | GTAP Model, Land use change Modeling, Multi-sector CGE Model, SRES scenario A2 using the above-introduced model | 2005-2020 | NR |
| Lee, H. L. Taiwan | 2018 | 133 countries in 5 continents (Multiple Continents) | Prospective- cohort | Multi-Regional CGE Model, GTAP Land use (GTAP-LU) Model | 2000-2030 2011-2030 | NR |
| Sassi, M. Italy, Sudan | 2013 | Sudan AFRICA | Prospective- cohort | Stochastic Model, Parametric Model | 2010-2060 2002-2010 | 53% Kilocalorie Per capita Per day |
| Skjeflo, S. Norway | 2013 | Malawi AFRICA | Prospective- cohort | Computable General Equilibrium Model | 2000-2030 | NR |
| Sulser, T. B. USA | 2011 | 14 countries, Arab region, Egypt, Syria, Mauritania, Qatar, Morocco, Bahrain, Djibouti, Jordan, Libya, Saudi Arabia, Yemen, United Arab Emirates (Multiple Continents) | Prospective- cohort | IMPACT Simulation Model. Partial Equilibrium Model, General Circulation Model (GCM) The SRES A2 scenario foresees moderate climate change 2 scenarios (2025, 2050) | 2000—2025-2050 | Per capita food 2025 = 18.2%, 2050 = 27% Food demand cereal 2025 = 33.2%, 2050 = 49.5% |
| Tigchelaar, M. USA | 2018 | Argentina, Brazil, China, France, Ukraine, and United States (Multiple Continents) | Prospective- cohort | Empirical Crop Models, Regression Models to the future climate data, temperature projections for all CMIP5 models in three emission scenarios (RCP4.5, RCP6.0, and RCP8.5). For all time-varying quantities9variablees are calculated, Global maize production (GMP), 2008 = maize production | Crop (190I-2061) Climate (1901-2014) (1989-2008) GMP (2012-2017) | NR |
| Wiebelt, M. Germany, USA | 2013 | Yemen ASIA | Prospective- cohort | IMPACT Model, Dynamic Computable General Equilibrium (DCGE) Model, Global Climate Models, Crop Simulation Model, Decision Support System for Agrotechnology Transfer (DSSAT) Crop Modeling Framework | 2000 and 2050. 2010, 2050 | Calorie deficiency = 32.1% of people |
| Wong, K. K.S. Malaysia | 2019 | Malaysia ASIA | Cross Sectional | Engle-Granger Co-integration test (hereafter EG) and Error Correction Mechanism (ECM) Regression-Time Series Data | 2010-2017, 1980-2017 | NR |
| Wossen, T. Nigeria, Germany | 2018 | Ethiopia, Ghana AFRICA | Cross Sectional | Agent-Based Decision Modelling (ABM) Historical CPIs | E (1980-2010) G (1989-2009) CPIs (2000-2014) | Household food expenditure = Ethiopia = 35% Ghana = 70% |
| Yaffa, S. Gambia | 2013 | Gambia AFRICA | Cross Sectional | Qualitative Methods, Quantitative Method-Questionnaire Survey, FGD, Interview Annual rainfall in Banjul (1886) & Kerewan (1931) | 2003-2012, B (1886-2003) K (1931-2011) | 64% decrease food |