Matches in SemOpenAlex for { <https://semopenalex.org/work/W2900453313> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2900453313 abstract "Food prices have experienced enormous movements and volatility in the recent past which can be predominantly attributed to climate change. Extreme weather events such as drought, flooding and heat waves have adverse effects on agricultural production in areas where agriculture is weather reliant. Among the extreme weather events experienced in Kenya is a drought in 2008/09 which led to a record increase in food prices. It is against this backdrop that this study sought to investigate the dynamic relationship between maize prices and extreme agro-climatic indicators. The study uses structural vector autoregressive (SVAR) tools; Granger causality, Impulse Response Function (IRF) and Forecast Error Variance Decomposition (FEVD) to examine the dynamic relationship between extreme weather indicators (minimum and maximum temperature and precipitation) and wholesale maize prices. Using different lag length determinant criterion, reduced-form VAR (2) is highlighted as the best model to fit the study data past weather and maize prices information over a data period spanning from January 2000 and December 2016. The study established that there exists granger causality between maize prices and weather variables. Agro-climatic indicators are therefore significant in predicting future maize prices. Principally, this significance can be inferred from the reliance of local agricultural production on phenological patterns. Maize price shocks exhibited inflationary effects on future maize prices, while a shock in weather variables has depreciating effects after three months. With regard to forecast variance, 30-39% of maize price variations resulted from its own shocks. The rest is attributed to precipitation (29-39%); maximum temperature (24-26%); and minimum temperature (7-8%)." @default.
- W2900453313 created "2018-11-29" @default.
- W2900453313 creator A5010461229 @default.
- W2900453313 creator A5056046437 @default.
- W2900453313 creator A5065912573 @default.
- W2900453313 date "2018-01-01" @default.
- W2900453313 modified "2023-09-24" @default.
- W2900453313 title "Structural Vector Autoregressive (SVAR) Analysis of Maize Prices and Extreme Weather Shocks" @default.
- W2900453313 doi "https://doi.org/10.11648/j.ijdsa.20180405.12" @default.
- W2900453313 hasPublicationYear "2018" @default.
- W2900453313 type Work @default.
- W2900453313 sameAs 2900453313 @default.
- W2900453313 citedByCount "0" @default.
- W2900453313 crossrefType "journal-article" @default.
- W2900453313 hasAuthorship W2900453313A5010461229 @default.
- W2900453313 hasAuthorship W2900453313A5056046437 @default.
- W2900453313 hasAuthorship W2900453313A5065912573 @default.
- W2900453313 hasBestOaLocation W29004533131 @default.
- W2900453313 hasConcept C118518473 @default.
- W2900453313 hasConcept C129824826 @default.
- W2900453313 hasConcept C132651083 @default.
- W2900453313 hasConcept C133029050 @default.
- W2900453313 hasConcept C149782125 @default.
- W2900453313 hasConcept C159009313 @default.
- W2900453313 hasConcept C159877910 @default.
- W2900453313 hasConcept C162324750 @default.
- W2900453313 hasConcept C18903297 @default.
- W2900453313 hasConcept C205537798 @default.
- W2900453313 hasConcept C39432304 @default.
- W2900453313 hasConcept C86803240 @default.
- W2900453313 hasConcept C89715816 @default.
- W2900453313 hasConceptScore W2900453313C118518473 @default.
- W2900453313 hasConceptScore W2900453313C129824826 @default.
- W2900453313 hasConceptScore W2900453313C132651083 @default.
- W2900453313 hasConceptScore W2900453313C133029050 @default.
- W2900453313 hasConceptScore W2900453313C149782125 @default.
- W2900453313 hasConceptScore W2900453313C159009313 @default.
- W2900453313 hasConceptScore W2900453313C159877910 @default.
- W2900453313 hasConceptScore W2900453313C162324750 @default.
- W2900453313 hasConceptScore W2900453313C18903297 @default.
- W2900453313 hasConceptScore W2900453313C205537798 @default.
- W2900453313 hasConceptScore W2900453313C39432304 @default.
- W2900453313 hasConceptScore W2900453313C86803240 @default.
- W2900453313 hasConceptScore W2900453313C89715816 @default.
- W2900453313 hasLocation W29004533131 @default.
- W2900453313 hasOpenAccess W2900453313 @default.
- W2900453313 hasPrimaryLocation W29004533131 @default.
- W2900453313 hasRelatedWork W1607061169 @default.
- W2900453313 hasRelatedWork W163754794 @default.
- W2900453313 hasRelatedWork W1971544244 @default.
- W2900453313 hasRelatedWork W2016342630 @default.
- W2900453313 hasRelatedWork W2061439704 @default.
- W2900453313 hasRelatedWork W2093221843 @default.
- W2900453313 hasRelatedWork W2149876912 @default.
- W2900453313 hasRelatedWork W2386571785 @default.
- W2900453313 hasRelatedWork W2558377618 @default.
- W2900453313 hasRelatedWork W2607721491 @default.
- W2900453313 hasRelatedWork W2736999357 @default.
- W2900453313 hasRelatedWork W2817336985 @default.
- W2900453313 hasRelatedWork W2913466460 @default.
- W2900453313 hasRelatedWork W3121726999 @default.
- W2900453313 hasRelatedWork W3121790659 @default.
- W2900453313 hasRelatedWork W3122250562 @default.
- W2900453313 hasRelatedWork W3124865726 @default.
- W2900453313 hasRelatedWork W3126070121 @default.
- W2900453313 hasRelatedWork W3142273925 @default.
- W2900453313 hasRelatedWork W405644217 @default.
- W2900453313 isParatext "false" @default.
- W2900453313 isRetracted "false" @default.
- W2900453313 magId "2900453313" @default.
- W2900453313 workType "article" @default.