The impact of rainfall and temperature on agriculture production has become increasingly pertinent due to mounting concerns regarding food security and the impact of climate change. The study uses both linear and nonlinear autoregressive distributed lag models to simulate the impact that that climate variability has on agriculture production. Data on rainfall and temperature patterns are regressed on the disaggregated agricultural output, focusing on vegetable, root crop and milk production. Significant asymmetric effects were not evident with respect to the climatic impact of rain and temperature on total crop or root crop production. However, when rainfall is below its seasonal average, milk production is negatively impacted. The positive long-run influence of temperature is slightly smaller on vegetable production, in periods when temperature levels are above the seasonal average. Root crop production was found to be comparatively resistant to climate change.
AlhassanW., & BuvanendranV. (1985). Weather variables and milk production in Friesian-Bunaji crosses reared outdoors in the dry tropics. Agricultural and Forest Meteorology, 34(2–3), 163–171.
2.
Bahmani-OskooeeM., & SahaS. (2017). Nonlinear autoregressive distributed lag approach and bilateral J-curve: India versus her trading partners—India’s trade and J-curve. Contemporary Economic Policy, 35(3), 472–483.
3.
Barbados Statistical Service. (2021, August 17). Social & demographic statistics. https://stats.gov.bb/subjects/social-demographic-statistics/labour-market-statistics/
4.
BermanA. (2005). Estimates of heat stress relief needs for Holstein dairy cows. Journal of Animal Science, 83, 1377–1384.
5.
BuglerW., & PalinO. (2017). Climate impacts on agriculture and tourism: The case for climate resilient investment in the Caribbean. Climate & Development Knowledge Network.
6.
CariCOF. (2020, April). Caribbean climate outlook newsletter—May to July 2020. Bridgetown, Barbados.
7.
CashmanA. (2014). Water security and services in the Caribbean. Water, 6(5), 1187–1203. https://doi.org/10.3390/w6051187
8.
Central Bank of Barbados. (2021). Review of Barbados’ economic performance, January to June 2021. Central Bank of Barbados.
9.
CraigwellR., & Kaidou-JeffreyD. (2012). Lending behaviour in different credit rationing environs: A regime switching model for Barbados. Journal of Eastern Caribbean Studies, 37(1), 49–73.
10.
DerbileE. K., & KaseiR. A. (2012). Vulnerability of crop production to heavy precipitation in north-eastern Ghana. International Journal of Climate Change Strategies and Management, 4(1), 36–53.
11.
DickeyD. A., & FullerW. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74, 427–431.
12.
EitzingerA., RhineyK., FarrellA., CarmonaS., van LoosenI., & TaylorM. (2015). Jamaica: Assessing the impact of climate change on cocoa and tomato [Policy Brief No. 28]. CIAT.
13.
FAO. (2015). AQUASTAT country profile—Barbados. Food and Agriculture Organization of the United Nations (FAO).
14.
FAO. (2017). The future of food and agriculture—Trends and challenges. Food and Agriculture Organization of the United Nations (FAO).
15.
FarrellD., TrotmanA., & CoxC. (2010). Drought early warning and risk reduction: A case study of the Caribbean drought of 2009–2010. Caribbean Institute for Meteorology and Hydrology.
16.
GOB. (2013). Barbados food and nutrition security plan of action 2014–2018. Government of Barbados.
17.
GourdjiS., LaderachP., ValleA. M., MartinezC. Z., & LobellB. D. (2015). Historical climate trends, deforestation, and maize and bean yields in Nicaragua. Agricultural and Forest Meteorology, 200, 270–281.
18.
HyllebergS., EngleR., GrangerC., & YooB. (1990). Seasonal integration and cointegration. Journal of Econometrics, 44, 215–238.
19.
IMF. (2019). Barbados: First review under the extended arrangement and request for the completion of the financing assurances review and modification of performance criteria [Country Report No. 19/182]. International Monetary Fund.
20.
Loboguerrero RodriguezA. M., BirchJ., ThorntonP. K., MezaL., SungaI., BongB. B., RabbingeR., ReddyM., DineshD., KornerJ., Martínez B.D., MillanA., HansenJ., HuyerS., & CampbellB. M. (2018). Feeding the world in a changing climate: An adaption roadmap for agriculture. Global Commission on Adaption.
21.
MitraS. K. (2014). Nonlinear impact of rain on foodgrain production in India. Applied Economics, 21(14), 1001–1005.
22.
NeelinJ., MunnichM., SuH., MeyersonJ. E., & HollowayC. E. (2006). Tropical drying trends in global warming models and observations. Proceeding of the National Academy of Sciences, 103(16), 6110–6115.
23.
NsabimanaA., & HabimanaO. (2017). Asymmetric effects of rainfall on food crop prices: Evidence from Rwanda. Environmental Economics, 8(3), 137–149.
24.
NwanzeK. F., & FanS. (2016). Climate change and agriculture: Strengthening the role of smallholders. In Global Food Policy Report (pp. 13–21). International Food Policy Research Institute.
25.
OlayideO. E., TettehI. K., & PopoolaL. (2016). Differential impacts of rainfall and irrigation on agricultural production in Nigeria: Any lessons for climate-smart agriculture? Agricultural Water Management, 178, 30–36.
26.
PesaranM. H., ShinY., & SmithR. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326.
27.
PhillipsP. C., & PerronP. (1988). Testing for a unit root in time series regression. Biometrika, 75, 335–346.
28.
PilgrimE. C. (1969, January 1). The role and structure of agriculture in Barbados and the agricultural development programme. Bulletin - Ministry of Agriculture.
29.
PolleyH. W., BriskeD. D., MorganJ. A., WolterKlaus, BaileyD. W., & BrownJ. R. (2013). Climate change and Northern American rangelands: Trends, projections, and implications. Rangeland Ecology & Management, 66(5), 493–511.
30.
RahmanM. A., KangS., NagabhatlaN., & MacneeR. (2017). Impacts of temperature and rainfall variation on rice productivity in major ecosystems of Bangladesh. Agriculture & Foof Security, 6(10), 1–11.
31.
RamasamyS. (2013, February 28). Climate change, agriculture and food security in the Caribbean. Agronoticias: Agriculture News from Latin America and the Caribbean. http://www.fao.org/in-action/agronoticias/detail/es/c/511576/
32.
RankinM. (2017, January). Alfalfa maturity stage is only part of the forage quality story. University of Wisconsin-Extension. Retrieved July 7, 2020, fromhttps://fyi.extension.wisc.edu/forage/temperature-and-moisture-effects-on-forage-quality/
33.
Richardson-NgwenyaP., & JanetM. (2011). Tourism and agriculture in Barbados: Changing relationships. In TorresR. M., & MomsenJ. H. (Eds.), Tourism and agriculture: New geographies of consumption, production and rural restructuring (pp. 139–148). Routledge.
34.
Rojas-DowningM. M., NejadhashemiA. P., HarriganT., & WoznickiS. A. (2017). Climate change and livestock: Impacts, adaption, and mitigation. Climate Risk Management, 16, 145–163.
35.
RosenzweigC., Iglesias AnaY. X., & ChivianE. (2001). Climate change and extreme weather events: Implications for food production, plant diseases and pests. Global Change and Human Health, 2, 90–104.
36.
RuaneA. C., CecilL. D., HortonR. M., GordonR., McCollumR., BrownD., KilloughB., GoldbergR., GreeleyA., & RosenzweigC. (2013). Climate change impact uncertainties for maize in Panama: Farm information, climate projections, and yield sensitivities. Agricultural and Forest Meteorology, 170, 132–145.
37.
ShimodaS., KannoH., & HirotaT. (2018). Time series analysis of temperature and rainfall-based weather aggregation reveals significant correlations between climate turning points and potato (Solanum Tuberosum L) yield trends in Japan. Agriculture and Forest Meteorology, 263, 147–155. https://doi.org/10.1016/j.agrformet.2018.08.005
38.
ShinY., YuB., & MatthewG. N. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. Sickles, & W. C. Horrace (Eds.), Festschrift in honor of Peter Schmidt: Econometric methods and applications (pp. 281–314). Springer.
39.
StullC., MessamL. M., CollarC., PetersonN., CastilloA., & ReedB. (2008). Precipitation and temperature effects on mortality and lactation parameters of dairy cattle in California. Journal of Dairy Science, 91(12), 4579–4591.
40.
TaylorM., WhyteF., StephensonT. S., & CampbellJ. (2013). Why dry? Investigating the future evolution of the Caribbean low-level jet to explain projected Caribbean drying. International Journal of Climatology, 33(3), 784–792.
41.
ThorntonP., van de SteegJ., NotenbaertA., & HerreroM. (2009). The impacts of climate change on livestock and livestock systems in developing countries: A review of what we know and what we need to know. Agricultural Systems, 101, 113–127.
42.
ThortonP., DineshD., & CramerL. (2018). Agriculture in a changing climate: Keeping our cool in the face of the hothouse. Outlook on Agriculture, 47(4), 283–290. https://doi.org/10.1177/0030727018815332
43.
TuckerC. B., RogersA. R., VerkerkG. A., KendallP. E., WebsterJ. R., & MatthewsL. R. (2007). Effects of shelter and body condition on the behaviour and physiology of dairy cattle in winter. Applied Animal Behaviour Science, 105(1–3), 1–13.
44.
United Nations, Economic Commission for Latin America and the Caribbean (UNECLAC). (2009). The economics of climate change. ECLAC, Subregional Headquarters for the Caribbean.
45.
United Nations, Economic Commission for Latin America and the Caribbean (UNECLAC). (2011). The economics of climate change in the Caribbean—Summary report. ECLAC, Subregional Headquarters for the Caribbean.
46.
VermeulenS., AggarwalP. K., AinslieA., AngeloneC., CampbellB., ChallinorA., HansenJ. W., IngramJ. S. I., JarvisA., KristjansonP., LauC., NelsonG. C., ThorntonP. K., & WollenbergE. (2012). Options of support to agriculture and food security under climate change. Environmental Science & Policy, 15(1), 136–144.
47.
WilliamsN. B., & ThomasK. D. (2012). Sustainable water resources in the Caribbean: Prospects and challenges. Water Resources IMPACT, 14(5), 19–21. https://www.jstor.org/stable/wateresoimpa.14.5.0019
48.
World Bank. (2015). Future of food: Shaping a climate-smart global food system. The World Bank.
49.
YangL., MouchengL., LunF., YuanZ., ZhangY., & MinQ. (2017). An analysis on crops choice and its driving factors in agricultural heritage systems—A case of Honghe Hani rice terraces system. Sustainability, 9(7). https://doi.org/10.3390/su9071162
