Pub Date : 2022-06-30DOI: 10.53936/afjare.2022.17(2).9
Rui Benfica
We look at the prioritisation of agricultural value chains (VCs) for the allocation of R&D resources that maximise development outcomes (poverty, growth, jobs and diets) in Senegal. This study used (a) the rural investment and policy analysis (RIAPA) computable general equilibrium (CGE) model; (b) the perpetual inventory model (PIM), and (c) information on the elasticities of VC total factor productivity (TFP) with respect to R&D knowledge stocks (KS) to discuss the value chain priority allocations of R&D resources. The results indicate that no value chain is the most effective at improving all outcomes. The most effective value chains to be efficiently supported through R&D investments are traditional export crops, groundnuts, rice, poultry, sorghum/millet and cattle. Other promising value chains with potential effects at scale include vegetables, oilseeds and fruits. Future modelling needs to focus on deepening the standardisation and integration of R&D investments in this framework and bring together other factors and complementary agri-food system (AFS) investment dimensions that are relevant to sustainable and inclusive agricultural growth.
{"title":"Agricultural R&D investments and development goals in subSaharan Africa: Assessing prioritisation of value chains in Senegal","authors":"Rui Benfica","doi":"10.53936/afjare.2022.17(2).9","DOIUrl":"https://doi.org/10.53936/afjare.2022.17(2).9","url":null,"abstract":"We look at the prioritisation of agricultural value chains (VCs) for the allocation of R&D resources that maximise development outcomes (poverty, growth, jobs and diets) in Senegal. This study used (a) the rural investment and policy analysis (RIAPA) computable general equilibrium (CGE) model; (b) the perpetual inventory model (PIM), and (c) information on the elasticities of VC total factor productivity (TFP) with respect to R&D knowledge stocks (KS) to discuss the value chain priority allocations of R&D resources. The results indicate that no value chain is the most effective at improving all outcomes. The most effective value chains to be efficiently supported through R&D investments are traditional export crops, groundnuts, rice, poultry, sorghum/millet and cattle. Other promising value chains with potential effects at scale include vegetables, oilseeds and fruits. Future modelling needs to focus on deepening the standardisation and integration of R&D investments in this framework and bring together other factors and complementary agri-food system (AFS) investment dimensions that are relevant to sustainable and inclusive agricultural growth.","PeriodicalId":45228,"journal":{"name":"African Journal of Agricultural and Resource Economics-AFJARE","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42079292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-30DOI: 10.53936/afjare.2022.17(2).12
R. Mulwa, J. Siikamaki, Michael Ndwiga, Jessica Alvsilver
Insect pollination improves the yield of most crop species and contributes to one-third of global crop production. The importance of this ecosystem service in improving agricultural production has largely been overlooked, however, in favour of practices that improve soil conditions such as fertiliser use and supplementary irrigation. Using economic modelling, this study estimates the value of insect pollination under different land-use types in Kenya. Our model assumes that a combination of land-use type and the foraging distance of insect pollinators influences the intensity of pollination and the value of agricultural output. To demonstrate the hypothesised relationships, areas under different land-use types, e.g. forest, grassland and cropland, and their distances from households were used as proxies for insect pollination. Concentric buffer zones representing foraging distances of pollinators from the land-use types were drawn at 250 m, 500 m, 1 000 m, 2 000 m and 3 000 m from the farms, and areas under each land use in the buffer zones were estimated for the years 2004, 2007 and 2010. Using the random-effects model and an output distance-function stochastic frontier model, the land-use areas, other factors of production and climate variables were regressed on the value of agricultural output in each buffer zone to determine their contribution to agricultural output resulting from insect pollination. The results indicate higher crop productivity on farms bordering forests and grasslands. This implies that insect pollinators are important for crop production, and increasing the number of pollinator habitats closer to the farms will increase food production in the tropics.
{"title":"Influence of proximity to and type of foraging habitat on value of insect pollination in the tropics, with applications to Kenya","authors":"R. Mulwa, J. Siikamaki, Michael Ndwiga, Jessica Alvsilver","doi":"10.53936/afjare.2022.17(2).12","DOIUrl":"https://doi.org/10.53936/afjare.2022.17(2).12","url":null,"abstract":"Insect pollination improves the yield of most crop species and contributes to one-third of global crop production. The importance of this ecosystem service in improving agricultural production has largely been overlooked, however, in favour of practices that improve soil conditions such as fertiliser use and supplementary irrigation. Using economic modelling, this study estimates the value of insect pollination under different land-use types in Kenya. Our model assumes that a combination of land-use type and the foraging distance of insect pollinators influences the intensity of pollination and the value of agricultural output. To demonstrate the hypothesised relationships, areas under different land-use types, e.g. forest, grassland and cropland, and their distances from households were used as proxies for insect pollination. Concentric buffer zones representing foraging distances of pollinators from the land-use types were drawn at 250 m, 500 m, 1 000 m, 2 000 m and 3 000 m from the farms, and areas under each land use in the buffer zones were estimated for the years 2004, 2007 and 2010. Using the random-effects model and an output distance-function stochastic frontier model, the land-use areas, other factors of production and climate variables were regressed on the value of agricultural output in each buffer zone to determine their contribution to agricultural output resulting from insect pollination. The results indicate higher crop productivity on farms bordering forests and grasslands. This implies that insect pollinators are important for crop production, and increasing the number of pollinator habitats closer to the farms will increase food production in the tropics.","PeriodicalId":45228,"journal":{"name":"African Journal of Agricultural and Resource Economics-AFJARE","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47182702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-30DOI: 10.53936/afjare.2022.17(2).10
James Ntiamoah Doku, Raymond K. Dziwornu, R. Agbanyo, Joyce Owusuaa Awuletey
The syndication of loansis an innovative financing model that has emerged in the financial landscape to help lenders spread risk and share opportunities. This study examines the relationship between syndicated loans and cocoa production in Ghana, using annual time-series data spanning from 1993 to 2020, as well as the autoregressive distributed lag model (ARDL). The study found a positive and significant short-run and long-run relationship between syndicated loans and cocoa production. Specifically, a 1% increase in the amount of syndicated loans increases cocoa production by 0.25% in the long run. The Ghana Cocoa Board should ensure efficient utilisation of syndicated loans by investing in productivity-enhancing programmes to boost cocoa production.
{"title":"Loan syndication and cocoa production: Evidence from Ghana","authors":"James Ntiamoah Doku, Raymond K. Dziwornu, R. Agbanyo, Joyce Owusuaa Awuletey","doi":"10.53936/afjare.2022.17(2).10","DOIUrl":"https://doi.org/10.53936/afjare.2022.17(2).10","url":null,"abstract":"The syndication of loansis an innovative financing model that has emerged in the financial landscape to help lenders spread risk and share opportunities. This study examines the relationship between syndicated loans and cocoa production in Ghana, using annual time-series data spanning from 1993 to 2020, as well as the autoregressive distributed lag model (ARDL). The study found a positive and significant short-run and long-run relationship between syndicated loans and cocoa production. Specifically, a 1% increase in the amount of syndicated loans increases cocoa production by 0.25% in the long run. The Ghana Cocoa Board should ensure efficient utilisation of syndicated loans by investing in productivity-enhancing programmes to boost cocoa production.","PeriodicalId":45228,"journal":{"name":"African Journal of Agricultural and Resource Economics-AFJARE","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43281222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-30DOI: 10.53936/afjare.2022.17(2).7
G. Aye, Lydia Kotur
This study analysed the long- and short-run effect of economic policy uncertainty on agricultural growth in Nigeria. Annual data was collected from secondary sources and analysed using the autoregressive distributed lag (ARDL) model and the associated bounds test. The highest volatility was exhibited by monetary policy uncertainty (MPU) (2.522), followed by consumer price index (CPI) (1.968). The fiscal policy uncertainty had the lowest volatility (0.179). The result of the bounds test showed that economic policy uncertainty shares a long-run relationship with agricultural growth. The effect of economic policy uncertainty on agricultural growth in the long run is negative, with the coefficient of MPU, FPU and TPU being -0.004, -0.218 and -0.507 respectively. In the short run, the effects of all the economic policy uncertainty variables on agricultural growth and welfare are negative and significant, both in contemporary (current) and in lags. A stable economic policy encourages agricultural growth.
{"title":"Effect of economic policy uncertainty on agricultural growth in Nigeria","authors":"G. Aye, Lydia Kotur","doi":"10.53936/afjare.2022.17(2).7","DOIUrl":"https://doi.org/10.53936/afjare.2022.17(2).7","url":null,"abstract":"This study analysed the long- and short-run effect of economic policy uncertainty on agricultural growth in Nigeria. Annual data was collected from secondary sources and analysed using the autoregressive distributed lag (ARDL) model and the associated bounds test. The highest volatility was exhibited by monetary policy uncertainty (MPU) (2.522), followed by consumer price index (CPI) (1.968). The fiscal policy uncertainty had the lowest volatility (0.179). The result of the bounds test showed that economic policy uncertainty shares a long-run relationship with agricultural growth. The effect of economic policy uncertainty on agricultural growth in the long run is negative, with the coefficient of MPU, FPU and TPU being -0.004, -0.218 and -0.507 respectively. In the short run, the effects of all the economic policy uncertainty variables on agricultural growth and welfare are negative and significant, both in contemporary (current) and in lags. A stable economic policy encourages agricultural growth.","PeriodicalId":45228,"journal":{"name":"African Journal of Agricultural and Resource Economics-AFJARE","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45800186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-31DOI: 10.53936/afjare.2022.17(1).6
Aubrey Jolex
Recognising potential selection bias due to non-randomness of the data, this study used propensity score matching on data from a nationally representative fifth Integrated Household Survey (IHS5) to investigate the effect of agriculture extension services on the technical efficiency of maize farmers in Malawi. Technical efficiency levels were estimated using the stochastic frontier model. The results show that most farmers are technically efficient, with an average technical efficiency of 63%. This indicates that there is still a possibility to increase maize output by 37% using the same level of inputs. The results of the propensity score matching reveal that having access to agricultural extension services significantly increases maize farmers’ technical efficiency, by about 4%. This evidence presents an opportunity not only for farmers, but also for the relevant policymakers, to realise the potential of using agricultural extension services to enhance the production capacity of maize farmers.
{"title":"Influence of agricultural extension services on technical efficiency of maize farmers in Malawi","authors":"Aubrey Jolex","doi":"10.53936/afjare.2022.17(1).6","DOIUrl":"https://doi.org/10.53936/afjare.2022.17(1).6","url":null,"abstract":"Recognising potential selection bias due to non-randomness of the data, this study used propensity score matching on data from a nationally representative fifth Integrated Household Survey (IHS5) to investigate the effect of agriculture extension services on the technical efficiency of maize farmers in Malawi. Technical efficiency levels were estimated using the stochastic frontier model. The results show that most farmers are technically efficient, with an average technical efficiency of 63%. This indicates that there is still a possibility to increase maize output by 37% using the same level of inputs. The results of the propensity score matching reveal that having access to agricultural extension services significantly increases maize farmers’ technical efficiency, by about 4%. This evidence presents an opportunity not only for farmers, but also for the relevant policymakers, to realise the potential of using agricultural extension services to enhance the production capacity of maize farmers.","PeriodicalId":45228,"journal":{"name":"African Journal of Agricultural and Resource Economics-AFJARE","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48175689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-31DOI: 10.53936/afjare.2022.17(1).5
Koffi Yovo, Kokou Edoh Adabe
This study assesses the mechanism of the transmission of international price shocks to producer prices of coffee and cocoa in Togo. A threshold autoregressive (TAR) model was estimated using monthly series of international and producer prices of coffee and cocoa in Togo from 1994 to 2018. The results show that there is asymmetric transmission of international price shocks to producer prices. Domestic prices respond less quickly to international price increase than decreases. The asymmetric price transmission is similar in term of the speed of adjustment for the two commodities. In order to deal with this phenomenon, further investigations need to be done to detect the reasons for the asymmetry in price transmission between domestic and international coffee and cocoa markets.
{"title":"Asymmetry and transmission of international price shocks of cocoa and coffee in Togo","authors":"Koffi Yovo, Kokou Edoh Adabe","doi":"10.53936/afjare.2022.17(1).5","DOIUrl":"https://doi.org/10.53936/afjare.2022.17(1).5","url":null,"abstract":"This study assesses the mechanism of the transmission of international price shocks to producer prices of coffee and cocoa in Togo. A threshold autoregressive (TAR) model was estimated using monthly series of international and producer prices of coffee and cocoa in Togo from 1994 to 2018. The results show that there is asymmetric transmission of international price shocks to producer prices. Domestic prices respond less quickly to international price increase than decreases. The asymmetric price transmission is similar in term of the speed of adjustment for the two commodities. In order to deal with this phenomenon, further investigations need to be done to detect the reasons for the asymmetry in price transmission between domestic and international coffee and cocoa markets.","PeriodicalId":45228,"journal":{"name":"African Journal of Agricultural and Resource Economics-AFJARE","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44537471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-31DOI: 10.53936/afjare.2022.17(1).1
J. Binfield, P. Boulanger, Tracy Davids, Hasan Dudu, E. Ferrari, Alfredo J. Mainar‐Causapé
Kenya has become a driving force of trade integration at the regional and continental level, albeit that this process is still incomplete. Kenya was the first nation, along with Ghana, to ratify the African Continental Free Trade Area (AfCFTA) agreement in May 2018, as it was already engaged with its main trading partners. Trade policy can generate mixed effects across the economy and within the agricultural sector, reflecting differences between markets and commodities. In this paper we argue that a mix of modelling approaches is preferable in order to capture the complexities of these changes. A dynamic-recursive computable general equilibrium model provides broad sectoral and macro-economic effects, which are then incorporated into a partial equilibrium framework for a detailed analysis at the sector level. We demonstrate this using the maize and wheat markets in Kenya as examples. Combining the output of each modelling approach allows the analysis to explicitly include certain characteristics of single markets, particularly regional trade relationships and differences in pricing structure that would be missed by using a single approach in isolation. It shows that further intra-African trade liberalisation will affect wheat markets more than maize in Kenya but, given the low initial tariff levels, the ultimate effects will remain fairly small.
{"title":"Trade liberalisation in Kenya: A modelling linkage for wheat and maize","authors":"J. Binfield, P. Boulanger, Tracy Davids, Hasan Dudu, E. Ferrari, Alfredo J. Mainar‐Causapé","doi":"10.53936/afjare.2022.17(1).1","DOIUrl":"https://doi.org/10.53936/afjare.2022.17(1).1","url":null,"abstract":"Kenya has become a driving force of trade integration at the regional and continental level, albeit that this process is still incomplete. Kenya was the first nation, along with Ghana, to ratify the African Continental Free Trade Area (AfCFTA) agreement in May 2018, as it was already engaged with its main trading partners. Trade policy can generate mixed effects across the economy and within the agricultural sector, reflecting differences between markets and commodities. In this paper we argue that a mix of modelling approaches is preferable in order to capture the complexities of these changes. A dynamic-recursive computable general equilibrium model provides broad sectoral and macro-economic effects, which are then incorporated into a partial equilibrium framework for a detailed analysis at the sector level. We demonstrate this using the maize and wheat markets in Kenya as examples. Combining the output of each modelling approach allows the analysis to explicitly include certain characteristics of single markets, particularly regional trade relationships and differences in pricing structure that would be missed by using a single approach in isolation. It shows that further intra-African trade liberalisation will affect wheat markets more than maize in Kenya but, given the low initial tariff levels, the ultimate effects will remain fairly small.","PeriodicalId":45228,"journal":{"name":"African Journal of Agricultural and Resource Economics-AFJARE","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48799512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-31DOI: 10.53936/afjare.2022.17(1).2
A. Seck, Djiby Racine Thiam
Although organic farming is increasingly perceived as a viable alternative to conventional agriculture in the face of deteriorating environmental ecosystems, little is known about consumers’ preferences for organic products in Sub-Saharan Africa. This paper bridges this gap in research and investigates the extent to which consumers value organic food in Dakar, Senegal. The double-bound contingent valuation approach was used on primary data from urban individuals. The results indicate that consumers do indeed significantly value organic vegetables, with a premium averaging 53% and varying across food items. The results also indicate that the current market structure of organic farming tends to undervalue organic products, as the actual price is 25.7% below the average consumers’ reservation price. Consumers who attach a higher value to organic products are found to be young, female, well-educated, wealthy, and fairly concerned about the health and environmental impacts associated with food production. All of these results contribute to laying the foundations to promote sustainable farming practices that make use of local solutions to address global environmental challenges.
{"title":"Understanding consumer attitudes to and valuation of organic food in Sub-Saharan Africa: A double-bound contingent method applied in Dakar, Senegal","authors":"A. Seck, Djiby Racine Thiam","doi":"10.53936/afjare.2022.17(1).2","DOIUrl":"https://doi.org/10.53936/afjare.2022.17(1).2","url":null,"abstract":"Although organic farming is increasingly perceived as a viable alternative to conventional agriculture in the face of deteriorating environmental ecosystems, little is known about consumers’ preferences for organic products in Sub-Saharan Africa. This paper bridges this gap in research and investigates the extent to which consumers value organic food in Dakar, Senegal. The double-bound contingent valuation approach was used on primary data from urban individuals. The results indicate that consumers do indeed significantly value organic vegetables, with a premium averaging 53% and varying across food items. The results also indicate that the current market structure of organic farming tends to undervalue organic products, as the actual price is 25.7% below the average consumers’ reservation price. Consumers who attach a higher value to organic products are found to be young, female, well-educated, wealthy, and fairly concerned about the health and environmental impacts associated with food production. All of these results contribute to laying the foundations to promote sustainable farming practices that make use of local solutions to address global environmental challenges.","PeriodicalId":45228,"journal":{"name":"African Journal of Agricultural and Resource Economics-AFJARE","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43135915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-31DOI: 10.53936/afjare.2021.16(4).24
Emmanuel Abokyi, Kofi Fred Asiedu
This paper investigates the extent of price volatility of maize and rice in Ghana following the introduction of public buffer stockholding operations (PBSO) as a policy to stabilise farm output prices in the last decade. We analysed price volatility using the generalised autoregressive conditional heteroscedasticity (GARCH(1,1)) modelling technique. This econometric technique was applied to market-level time-series data from selected major markets in Ghana from 2006 to 2015. The results indicate that price volatility for maize and rice has declined in the long run and, in the short run, shows relatively slow volatility transmission. The findings show that the buffer stockholding operations policy in the selected markets has stabilised the prices of the two commodities, especially in the long run. The results suggest that buffer stockholding operation policy remains a viable alternative for curbing high price volatility if structured well to fit the country context. We also conclude that climate change resilience measures are needed to be integrated into the agriculture and food systems of the country if we want to address the persistent price volatility of maize and rice in Ghana sustainably.
{"title":"Agricultural policy and commodity price stabilisation in Ghana: The role of buffer stockholding operations","authors":"Emmanuel Abokyi, Kofi Fred Asiedu","doi":"10.53936/afjare.2021.16(4).24","DOIUrl":"https://doi.org/10.53936/afjare.2021.16(4).24","url":null,"abstract":"This paper investigates the extent of price volatility of maize and rice in Ghana following the introduction of public buffer stockholding operations (PBSO) as a policy to stabilise farm output prices in the last decade. We analysed price volatility using the generalised autoregressive conditional heteroscedasticity (GARCH(1,1)) modelling technique. This econometric technique was applied to market-level time-series data from selected major markets in Ghana from 2006 to 2015. The results indicate that price volatility for maize and rice has declined in the long run and, in the short run, shows relatively slow volatility transmission. The findings show that the buffer stockholding operations policy in the selected markets has stabilised the prices of the two commodities, especially in the long run. The results suggest that buffer stockholding operation policy remains a viable alternative for curbing high price volatility if structured well to fit the country context. We also conclude that climate change resilience measures are needed to be integrated into the agriculture and food systems of the country if we want to address the persistent price volatility of maize and rice in Ghana sustainably.","PeriodicalId":45228,"journal":{"name":"African Journal of Agricultural and Resource Economics-AFJARE","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42666385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-31DOI: 10.53936/afjare.2021.16(4).22
M. Ouédraogo, Matty Demont, Maïmouna N'Dour
Cette étude vise à analyser les dispositions à acheter et le consentement à payer le riz local par les femmes au Burkina Faso. Les préférences des consommatrices et leurs consentements à payer le riz local de Bagré ont été révélés à partir des enchères expérimentales conduites auprès de 120 femmes de la ville de Ouagadougou. L’étude a montré que 55% des participantes aux enchères expérimentales préfèrent le riz local au riz importé. Environ 74% des consommatrices consentement à payer une prime supplémentaire moyenne de 100 FCFA/kg par rapport au riz importé (Thaïlandais, 5% de brisures) pour acquérir le riz étuvé de Bagré. Elles sont 75% à consentir à payer un supplément moyen de 87 FCFA par kg pour avoir le riz non étuvé de qualité de Bagré. L’étude conclut qu’il existe une demande potentielle urbaine pour le riz local de qualité. Les transformateurs devraient investir dans la qualité de riz en faisant en sorte que les coûts d’investissement additionnels soient inférieurs aux primes exprimées par les consommatrices.
{"title":"Consentement à payer pour le riz local de qualité au Burkina Faso : une analyse par la méthode des enchères expérimentales","authors":"M. Ouédraogo, Matty Demont, Maïmouna N'Dour","doi":"10.53936/afjare.2021.16(4).22","DOIUrl":"https://doi.org/10.53936/afjare.2021.16(4).22","url":null,"abstract":"Cette étude vise à analyser les dispositions à acheter et le consentement à payer le riz local par les femmes au Burkina Faso. Les préférences des consommatrices et leurs consentements à payer le riz local de Bagré ont été révélés à partir des enchères expérimentales conduites auprès de 120 femmes de la ville de Ouagadougou. L’étude a montré que 55% des participantes aux enchères expérimentales préfèrent le riz local au riz importé. Environ 74% des consommatrices consentement à payer une prime supplémentaire moyenne de 100 FCFA/kg par rapport au riz importé (Thaïlandais, 5% de brisures) pour acquérir le riz étuvé de Bagré. Elles sont 75% à consentir à payer un supplément moyen de 87 FCFA par kg pour avoir le riz non étuvé de qualité de Bagré. L’étude conclut qu’il existe une demande potentielle urbaine pour le riz local de qualité. Les transformateurs devraient investir dans la qualité de riz en faisant en sorte que les coûts d’investissement additionnels soient inférieurs aux primes exprimées par les consommatrices.","PeriodicalId":45228,"journal":{"name":"African Journal of Agricultural and Resource Economics-AFJARE","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41779419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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