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Autoregressive distributed Lag modeling: Of climate and non-climate factors influencing supply response of barley output in Ethiopia - Softcover
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The objective of this study was to investigate climatic and non-climatic inputs influencing supply response of barley output in Ethiopia. An ARDL model originally developed by Pesaran, et al. (2001) was employed to examine the impact of parameters included in the model. The study used secondary time series data covering the period from 1981-2020. The estimated elasticity coefficients revealed that log mean rainfall has negative impact on supply of barley output in the long-run. Conversely, log mean temperature over crop growing period has positive impact on supply of barley output. The result implies that climate parameters have minimal impact on supply of barley output in the long-run. Among the non-climatic variables, all variables included in the model such as log barley price, log area cultivated under barley, log irrigated area under barley, and log fertilizer used have positive relationship with barley output in the long-run, as theoretically expected. However, only log area cultivated under barley has positive and significant impact on barley output supply in the long-run. This finding may support the claim that increase in barley production in Ethiopia.
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Autoregressive distributed Lag modeling
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LAP LAMBERT Academic Publishing Jan 2022, 2022
ISBN 10: 6204738879
ISBN 13: 9786204738871
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The objective of this study was to investigate climatic and non-climatic inputs influencing supply response of barley output in Ethiopia. An ARDL model originally developed by Pesaran, et al. (2001) was employed to examine the impact of parameters included in the model. The study used secondary time series data covering the period from 1981-2020. The estimated elasticity coefficients revealed that log mean rainfall has negative impact on supply of barley output in the long-run. Conversely, log mean temperature over crop growing period has positive impact on supply of barley output. The result implies that climate parameters have minimal impact on supply of barley output in the long-run. Among the non-climatic variables, all variables included in the model such as log barley price, log area cultivated under barley, log irrigated area under barley, and log fertilizer used have positive relationship with barley output in the long-run, as theoretically expected. However, only log area cultivated under barley has positive and significant impact on barley output supply in the long-run. This finding may support the claim that increase in barley production in Ethiopia. 52 pp. Englisch. Seller Inventory # 9786204738871
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Autoregressive distributed Lag modeling : Of climate and non-climate factors influencing supply response of barley output in Ethiopia
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204738879
ISBN 13: 9786204738871
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The objective of this study was to investigate climatic and non-climatic inputs influencing supply response of barley output in Ethiopia. An ARDL model originally developed by Pesaran, et al. (2001) was employed to examine the impact of parameters included in the model. The study used secondary time series data covering the period from 1981-2020. The estimated elasticity coefficients revealed that log mean rainfall has negative impact on supply of barley output in the long-run. Conversely, log mean temperature over crop growing period has positive impact on supply of barley output. The result implies that climate parameters have minimal impact on supply of barley output in the long-run. Among the non-climatic variables, all variables included in the model such as log barley price, log area cultivated under barley, log irrigated area under barley, and log fertilizer used have positive relationship with barley output in the long-run, as theoretically expected. However, only log area cultivated under barley has positive and significant impact on barley output supply in the long-run. This finding may support the claim that increase in barley production in Ethiopia. Seller Inventory # 9786204738871
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Autoregressive distributed Lag modeling
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LAP Lambert Academic Publishing, 2022
ISBN 10: 6204738879
ISBN 13: 9786204738871
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The objective of this study was to investigate climatic and non-climatic inputs influencing supply response of barley output in Ethiopia. An ARDL model originally developed by Pesaran, et al. (2001) was employed to examine the impact of parameters included . Seller Inventory # 566167873
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Autoregressive distributed Lag modeling
Published by
LAP LAMBERT Academic Publishing Jan 2022, 2022
ISBN 10: 6204738879
ISBN 13: 9786204738871
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The objective of this study was to investigate climatic and non-climatic inputs influencing supply response of barley output in Ethiopia. An ARDL model originally developed by Pesaran, et al. (2001) was employed to examine the impact of parameters included in the model. The study used secondary time series data covering the period from 1981-2020. The estimated elasticity coefficients revealed that log mean rainfall has negative impact on supply of barley output in the long-run. Conversely, log mean temperature over crop growing period has positive impact on supply of barley output. The result implies that climate parameters have minimal impact on supply of barley output in the long-run. Among the non-climatic variables, all variables included in the model such as log barley price, log area cultivated under barley, log irrigated area under barley, and log fertilizer used have positive relationship with barley output in the long-run, as theoretically expected. However, only log area cultivated under barley has positive and significant impact on barley output supply in the long-run. This finding may support the claim that increase in barley production in Ethiopia.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9786204738871
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Autoregressive distributed Lag modeling | Of climate and non-climate factors influencing supply response of barley output in Ethiopia
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LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204738879
ISBN 13: 9786204738871
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Taschenbuch. Condition: Neu. Autoregressive distributed Lag modeling | Of climate and non-climate factors influencing supply response of barley output in Ethiopia | Abera Gayesa Tirfi | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204738871 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 121283655