Pub Date : 2023-01-02DOI: 10.1080/03031853.2022.2156899
O. Temoso, John N. Ng’ombe, S. Bahta, D. Hadley
ABSTRACT It is well established that improving livestock productivity has the potential to boost food security, income, and employment for rural communities. While the technical efficiency of the livestock sector has been extensively studied in both developing and developed countries, few studies have analysed total factor productivity (TFP) and its components (technical change, technical, scale, and mix efficiency changes). To fill this gap this study specifically analyses the TFP growth of 26 beef cattle producing districts in Botswana using the Färe-Primont index. This index does not only allow us to understand how TFP varies amongst the districts but also how it has changed over time (between 2007 and 2014) as well as examining what has been driving that change. We also employ a feasible generalised least squares estimator for panel data to identify sources of productivity and efficiency growth. Results show that livestock TFP increased during the study period, and that this was driven by technological change, whilst efficiency change (TFPE) decreased. Further, we found that the decline in scale-and mix efficiency change (OSME) was largely responsible for the slowdown of TFPE, with a relatively smaller decline in technical efficiency change (OTE) also contributing. Districts with foot and mouth disease (FMD) outbreaks and restricted access to export markets had lower TFP growth whilst proximity to livestock advisory centres (LAC), off-farm income, education and herd size were shown to enhance productivity and efficiency growth.
{"title":"Total factor productivity growth in livestock production in Botswana: what is the role of scale and mix efficiency change in beef production?","authors":"O. Temoso, John N. Ng’ombe, S. Bahta, D. Hadley","doi":"10.1080/03031853.2022.2156899","DOIUrl":"https://doi.org/10.1080/03031853.2022.2156899","url":null,"abstract":"ABSTRACT\u0000 It is well established that improving livestock productivity has the potential to boost food security, income, and employment for rural communities. While the technical efficiency of the livestock sector has been extensively studied in both developing and developed countries, few studies have analysed total factor productivity (TFP) and its components (technical change, technical, scale, and mix efficiency changes). To fill this gap this study specifically analyses the TFP growth of 26 beef cattle producing districts in Botswana using the Färe-Primont index. This index does not only allow us to understand how TFP varies amongst the districts but also how it has changed over time (between 2007 and 2014) as well as examining what has been driving that change. We also employ a feasible generalised least squares estimator for panel data to identify sources of productivity and efficiency growth. Results show that livestock TFP increased during the study period, and that this was driven by technological change, whilst efficiency change (TFPE) decreased. Further, we found that the decline in scale-and mix efficiency change (OSME) was largely responsible for the slowdown of TFPE, with a relatively smaller decline in technical efficiency change (OTE) also contributing. Districts with foot and mouth disease (FMD) outbreaks and restricted access to export markets had lower TFP growth whilst proximity to livestock advisory centres (LAC), off-farm income, education and herd size were shown to enhance productivity and efficiency growth.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"62 1","pages":"5 - 18"},"PeriodicalIF":1.3,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49030646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/03031853.2022.2149577
N. Matthews, B. Conradie, J. Piesse
ABSTRACT This study compared four South African sheep producing districts relative to each other and a common metafrontier to analyse within and between group efficiency and explored what could be learnt from this technique compared to simple frontiers. A sample was compiled from sources that were previously successfully used in local benchmarking exercises, and despite very modest sample sizes at the group level and minimal information on how groups differ, the group models performed adequately while the meta-model performed very well. The results revealed that while within group performances were comparable across districts, there were huge differences in between group performance. These differences are partly attributable to natural resource endowments, but institutional arrangements also contribute significantly to local success. This suggests that to achieve rural regeneration public–private partnerships are necessary to address this issue. State support is insufficient and producer organisations have a major role in promoting institutional innovation.
{"title":"Technological differences in South African sheep production: a stochastic meta-frontier analysis","authors":"N. Matthews, B. Conradie, J. Piesse","doi":"10.1080/03031853.2022.2149577","DOIUrl":"https://doi.org/10.1080/03031853.2022.2149577","url":null,"abstract":"ABSTRACT This study compared four South African sheep producing districts relative to each other and a common metafrontier to analyse within and between group efficiency and explored what could be learnt from this technique compared to simple frontiers. A sample was compiled from sources that were previously successfully used in local benchmarking exercises, and despite very modest sample sizes at the group level and minimal information on how groups differ, the group models performed adequately while the meta-model performed very well. The results revealed that while within group performances were comparable across districts, there were huge differences in between group performance. These differences are partly attributable to natural resource endowments, but institutional arrangements also contribute significantly to local success. This suggests that to achieve rural regeneration public–private partnerships are necessary to address this issue. State support is insufficient and producer organisations have a major role in promoting institutional innovation.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"62 1","pages":"19 - 30"},"PeriodicalIF":1.3,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43422779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Climate change poses a significant threat to the sustainability of agricultural production among smallholder farm households in Ethiopia. To reduce the adverse effects of climate risks, farm households have sought to adopt different adaptation strategies. This study investigates factors influencing farm households' choice of climate adaptation strategies and associated effects on their food security in Ethiopia using data collected from 516 farm households from three regions. A multivariate probit and propensity score matching models were used to analyze data. Major adaptation strategies adopted by the farm households in the study area are planting drought-tolerant crop varieties (60%), changing the planting dates (53%), growing diversified crops (49%), and diversifying the sources of household income (45%). Results suggest that older farm household heads are more likely to use drought-tolerant crop varieties to reduce climate risks. Farm households with larger farmland size and those with more years of experience in farming are more likely to use drought-tolerant crop varieties and crop diversification strategies. Farm households with larger family size are more likely to use crop and income diversification strategies and change the planting dates against the backdrop of a high risk of climatic shocks. Membership in input supply cooperatives, frequency of contact with extension agents, and access to information on expected rainfall and temperature are positively associated with different adaptation practices adopted by farm households. Farm households who have adopted climate adaptation strategies have higher food security status (by 2.3-2.8%) compared to those who have not. Thus, the farm households' climate adaptation practices have positive food security effects in Ethiopia.
{"title":"Can farmers' climate change adaptation strategies ensure their food security? Evidence from Ethiopia.","authors":"Girma Gezimu Gebre, Yuichiro Amekawa, Aneteneh Ashebir","doi":"10.1080/03031853.2023.2230959","DOIUrl":"10.1080/03031853.2023.2230959","url":null,"abstract":"<p><p>Climate change poses a significant threat to the sustainability of agricultural production among smallholder farm households in Ethiopia. To reduce the adverse effects of climate risks, farm households have sought to adopt different adaptation strategies. This study investigates factors influencing farm households' choice of climate adaptation strategies and associated effects on their food security in Ethiopia using data collected from 516 farm households from three regions. A multivariate probit and propensity score matching models were used to analyze data. Major adaptation strategies adopted by the farm households in the study area are planting drought-tolerant crop varieties (60%), changing the planting dates (53%), growing diversified crops (49%), and diversifying the sources of household income (45%). Results suggest that older farm household heads are more likely to use drought-tolerant crop varieties to reduce climate risks. Farm households with larger farmland size and those with more years of experience in farming are more likely to use drought-tolerant crop varieties and crop diversification strategies. Farm households with larger family size are more likely to use crop and income diversification strategies and change the planting dates against the backdrop of a high risk of climatic shocks. Membership in input supply cooperatives, frequency of contact with extension agents, and access to information on expected rainfall and temperature are positively associated with different adaptation practices adopted by farm households. Farm households who have adopted climate adaptation strategies have higher food security status (by 2.3-2.8%) compared to those who have not. Thus, the farm households' climate adaptation practices have positive food security effects in Ethiopia.</p>","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"62 1","pages":"178-193"},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10697671/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49390145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/03031853.2022.2149576
R. H. Jonga, H. Delin, Courage Masona, C. Belford
ABSTRACT Since 2000, Zimbabwe’s agricultural output has fluctuated despite the transfer of agricultural technology by various organisations and international partners. The low output response to technology transfer is attributed to the twin problems of lack of access and adoption of technology, which are largely explained by weak institutions, financial constraints, skill and knowledge deficiency, and poor rural infrastructure. The aim of this study was therefore to assess the effect of agricultural technology transfer on economic development using a dynamic Global Trade Analysis Project model for the reference year 2011. The study results indicated that economic performance improves when quality fertilisers, certified seeds, and machinery from other countries are used more intensively. Thus, policy interventions are required that enhance credit extension, roads, capital equipment, and good institutions such as property rights that incentivise farmers to adopt and invest in technology.
{"title":"The effect of agricultural technology transfer on Zimbabwe’s economic development: a dynamic global trade analysis project approach","authors":"R. H. Jonga, H. Delin, Courage Masona, C. Belford","doi":"10.1080/03031853.2022.2149576","DOIUrl":"https://doi.org/10.1080/03031853.2022.2149576","url":null,"abstract":"ABSTRACT Since 2000, Zimbabwe’s agricultural output has fluctuated despite the transfer of agricultural technology by various organisations and international partners. The low output response to technology transfer is attributed to the twin problems of lack of access and adoption of technology, which are largely explained by weak institutions, financial constraints, skill and knowledge deficiency, and poor rural infrastructure. The aim of this study was therefore to assess the effect of agricultural technology transfer on economic development using a dynamic Global Trade Analysis Project model for the reference year 2011. The study results indicated that economic performance improves when quality fertilisers, certified seeds, and machinery from other countries are used more intensively. Thus, policy interventions are required that enhance credit extension, roads, capital equipment, and good institutions such as property rights that incentivise farmers to adopt and invest in technology.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"61 1","pages":"433 - 448"},"PeriodicalIF":1.3,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48207081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/03031853.2022.2127810
David Beca
ABSTRACT Over 2003–2021, the pasture harvested on South African pasture-based dairy farms increased markedly. This increased production and consumption of pasture has helped to reduce the cost of producing milk in South Africa relative to dairying in other countries and delivered comparatively high levels of profit. National milk production has grown steadily. Over this same time, pasture as a proportion of the total diet of dairy herds has decreased significantly: supplements make up the major share of the diet. This change to dairy herd diets puts upward pressure on the average cost of feeding the herd and on the cost of production. The focus of this paper is on whether dairy farmers would be better off if they significantly increased the proportion of pasture in the total diet of their herds and relied less on supplementary feed. It is shown that progressively increasing the pasture component and proportion in the diet of dairy herds, from an industry average of 41% to 57%, could increase profit. Results were a 26% increase in profit (return on capital), a 59% increase in profit margin per litre, and a 7% decrease in cost of production per litre. If this change in production system to increased use of pasture and less use of supplementary feeds was replicated across the entire South African pasture-based dairy industry, farmers in the industry would be significantly more profitable and their businesses would be more resilient than under the current feeding regimes that are used.
{"title":"Potential improvement in the performance of dairy farms in South Africa","authors":"David Beca","doi":"10.1080/03031853.2022.2127810","DOIUrl":"https://doi.org/10.1080/03031853.2022.2127810","url":null,"abstract":"ABSTRACT\u0000 Over 2003–2021, the pasture harvested on South African pasture-based dairy farms increased markedly. This increased production and consumption of pasture has helped to reduce the cost of producing milk in South Africa relative to dairying in other countries and delivered comparatively high levels of profit. National milk production has grown steadily. Over this same time, pasture as a proportion of the total diet of dairy herds has decreased significantly: supplements make up the major share of the diet. This change to dairy herd diets puts upward pressure on the average cost of feeding the herd and on the cost of production. The focus of this paper is on whether dairy farmers would be better off if they significantly increased the proportion of pasture in the total diet of their herds and relied less on supplementary feed. It is shown that progressively increasing the pasture component and proportion in the diet of dairy herds, from an industry average of 41% to 57%, could increase profit. Results were a 26% increase in profit (return on capital), a 59% increase in profit margin per litre, and a 7% decrease in cost of production per litre. If this change in production system to increased use of pasture and less use of supplementary feeds was replicated across the entire South African pasture-based dairy industry, farmers in the industry would be significantly more profitable and their businesses would be more resilient than under the current feeding regimes that are used.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"61 1","pages":"412 - 432"},"PeriodicalIF":1.3,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46045142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-04DOI: 10.1080/03031853.2022.2099917
M. E. Marwa, Julius Manda
ABSTRACT Contract farming (CF) is often seen as a system that enhances production efficiency leading to increased agricultural productivity and improved farmer livelihoods. However, there is a conflict in the literature on its impact on young farmers who are involved in farming in Sub-Saharan Africa. This paper evaluates the impacts of CF on crop yield, crop and household income among the youth farmers involved in French bean farming in Tanzania using cross-sectional data of 273 households. The study employs an endogenous switching regression (ESR) model that accounts for observed and unobserved factors to estimate the impact of CF. Further, the propensity score matching (PSM) model is used to check the robustness of ESR results. The results indicate that 162 farmers had contracts and French bean yields and incomes significantly increased with CF. Specifically, the empirical results reveal that CF leads to a gain of 17%, 34% and 37.5% in the yield, crop income and household income. Participation and impact of contract farming differed according to different socio-economic/institutional variables, such as access to extension services.
{"title":"Do youth farmers benefit from participating in contract farming? Evidence from French beans youth farmers in Arusha, Tanzania","authors":"M. E. Marwa, Julius Manda","doi":"10.1080/03031853.2022.2099917","DOIUrl":"https://doi.org/10.1080/03031853.2022.2099917","url":null,"abstract":"ABSTRACT Contract farming (CF) is often seen as a system that enhances production efficiency leading to increased agricultural productivity and improved farmer livelihoods. However, there is a conflict in the literature on its impact on young farmers who are involved in farming in Sub-Saharan Africa. This paper evaluates the impacts of CF on crop yield, crop and household income among the youth farmers involved in French bean farming in Tanzania using cross-sectional data of 273 households. The study employs an endogenous switching regression (ESR) model that accounts for observed and unobserved factors to estimate the impact of CF. Further, the propensity score matching (PSM) model is used to check the robustness of ESR results. The results indicate that 162 farmers had contracts and French bean yields and incomes significantly increased with CF. Specifically, the empirical results reveal that CF leads to a gain of 17%, 34% and 37.5% in the yield, crop income and household income. Participation and impact of contract farming differed according to different socio-economic/institutional variables, such as access to extension services.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"61 1","pages":"379 - 398"},"PeriodicalIF":1.3,"publicationDate":"2022-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48915662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/03031853.2022.2090972
E. Wairimu, J. Mburu, A. Ndambi, C. Gachuiri
ABSTRACT Technical dairy innovations (TDI), such as improved cow feeding, health management and genetic improvement, could boost milk production. At the same time, organisational and institutional dairy innovations (OIDI), including group milk sales, feed and credit access, could boost dairy supply chain efficiency. This study examined the TDI adoption determinants and the OIDI adoption intensity. Data were collected from 1146 farmers (410, 382 and 354 in the milksheds of Mukurweini Wakulima Dairy Limited [MWDL], Happy Cow Limited [HCL] and New Kenya Co-operative Creameries [NKCC], respectively) and analysed using a double hurdle model. Access to credit positively influenced the TDI adoption in the three milksheds. Adoption of TDI was influenced by hired employees, dairy records, total dairy cows and household head education. The empirical evidence from the study supports the observation that OIDI adoption intensity is influenced by income, farm size, dairy records, and dairy information access. To boost TDI adoption, the dairy development partners should link cooperative society members with agricultural credit lenders. Additionally, the dissemination of dairy information to farmers by the dairy stakeholders could spur TDI adoption, while providing dairy information and training farmers on dairy record keeping should be promoted to boost TDI and OIDI adoption.
{"title":"Factors affecting adoption of technical, organisational and institutional dairy innovations in selected milksheds in Kenya","authors":"E. Wairimu, J. Mburu, A. Ndambi, C. Gachuiri","doi":"10.1080/03031853.2022.2090972","DOIUrl":"https://doi.org/10.1080/03031853.2022.2090972","url":null,"abstract":"ABSTRACT Technical dairy innovations (TDI), such as improved cow feeding, health management and genetic improvement, could boost milk production. At the same time, organisational and institutional dairy innovations (OIDI), including group milk sales, feed and credit access, could boost dairy supply chain efficiency. This study examined the TDI adoption determinants and the OIDI adoption intensity. Data were collected from 1146 farmers (410, 382 and 354 in the milksheds of Mukurweini Wakulima Dairy Limited [MWDL], Happy Cow Limited [HCL] and New Kenya Co-operative Creameries [NKCC], respectively) and analysed using a double hurdle model. Access to credit positively influenced the TDI adoption in the three milksheds. Adoption of TDI was influenced by hired employees, dairy records, total dairy cows and household head education. The empirical evidence from the study supports the observation that OIDI adoption intensity is influenced by income, farm size, dairy records, and dairy information access. To boost TDI adoption, the dairy development partners should link cooperative society members with agricultural credit lenders. Additionally, the dissemination of dairy information to farmers by the dairy stakeholders could spur TDI adoption, while providing dairy information and training farmers on dairy record keeping should be promoted to boost TDI and OIDI adoption.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"61 1","pages":"324 - 338"},"PeriodicalIF":1.3,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46223761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/03031853.2022.2094976
Meizal Popat, O. Cacho, G. Griffith, S. Mounter
ABSTRACT Food loss and waste are of global concern. In developing countries like Mozambique, it seems to be a major issue at the upstream end of supply chains, which is also regarded as postharvest losses (PHL). In this study, PHL is analysed in the context of maize in Mozambique, which is the most important crop in that country. The analysis focuses on empirically testing a simulation modelling approach for determining the short and mid-run economic impacts of PHL. A system dynamics model is applied. This model acknowledges climate, management, and domestic and regional marketing related factors as major drivers of PHL. A novel result from this study suggests climate related factors as the cause of a systematic amount of PHL at about 70,000 tons per year. However, marketing forces also play an important role to explain the overall PHL, particularly in periods domestic production increases sharply. The impact of potential interventions in the value chain are also tested.
{"title":"Food loss and waste in maize in Mozambique and its economic impacts: a system dynamics assessment approach","authors":"Meizal Popat, O. Cacho, G. Griffith, S. Mounter","doi":"10.1080/03031853.2022.2094976","DOIUrl":"https://doi.org/10.1080/03031853.2022.2094976","url":null,"abstract":"ABSTRACT Food loss and waste are of global concern. In developing countries like Mozambique, it seems to be a major issue at the upstream end of supply chains, which is also regarded as postharvest losses (PHL). In this study, PHL is analysed in the context of maize in Mozambique, which is the most important crop in that country. The analysis focuses on empirically testing a simulation modelling approach for determining the short and mid-run economic impacts of PHL. A system dynamics model is applied. This model acknowledges climate, management, and domestic and regional marketing related factors as major drivers of PHL. A novel result from this study suggests climate related factors as the cause of a systematic amount of PHL at about 70,000 tons per year. However, marketing forces also play an important role to explain the overall PHL, particularly in periods domestic production increases sharply. The impact of potential interventions in the value chain are also tested.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"61 1","pages":"339 - 359"},"PeriodicalIF":1.3,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43349358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/03031853.2022.2095291
G. Chirwa, L. Chiwaula
ABSTRACT Malawi relies on fish as a source of protein, and the fisheries sector employs many individuals. The COVID-19 shock has affected the fisheries sector. The current study measured household resilience in the fisheries sector. We collected primary data from 405 respondents. We used TANGO International's resilience capacity indices (RCI) and concentration indices (CI) to measure resilience and assess the inequality in the household resilience among fish value chain actors, respectively. Our findings show that the lowest average resilience capacities index (RCI = 31.14; p < 0.001) was among households in the lowest income quintile, and the highest resilience capacities index (RCI = 59.74; p <0.001) among the highest wealth category. Regarding inequality in resilience, an overall positive concentration index (CI = 0.12; p <0.001) was found. This means that wealthier households are likely to be more resilient than less wealthy households. In terms of policy, the government may consider extending the urban COVID-19 cash transfers to poor households in fishing communities.
{"title":"Socioeconomic inequalities in household resilience capacity in the context of COVID-19 in the fisheries sector in Malawi","authors":"G. Chirwa, L. Chiwaula","doi":"10.1080/03031853.2022.2095291","DOIUrl":"https://doi.org/10.1080/03031853.2022.2095291","url":null,"abstract":"ABSTRACT Malawi relies on fish as a source of protein, and the fisheries sector employs many individuals. The COVID-19 shock has affected the fisheries sector. The current study measured household resilience in the fisheries sector. We collected primary data from 405 respondents. We used TANGO International's resilience capacity indices (RCI) and concentration indices (CI) to measure resilience and assess the inequality in the household resilience among fish value chain actors, respectively. Our findings show that the lowest average resilience capacities index (RCI = 31.14; p < 0.001) was among households in the lowest income quintile, and the highest resilience capacities index (RCI = 59.74; p <0.001) among the highest wealth category. Regarding inequality in resilience, an overall positive concentration index (CI = 0.12; p <0.001) was found. This means that wealthier households are likely to be more resilient than less wealthy households. In terms of policy, the government may consider extending the urban COVID-19 cash transfers to poor households in fishing communities.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"61 1","pages":"266 - 281"},"PeriodicalIF":1.3,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43211842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.1080/03031853.2022.2073242
D. Gelo
ABSTRACT This paper investigates the effects of rainfall variability on agricultural input demand while controlling for risk preference and other covariates. For the empirical analysis, rural household survey data, which was matched with rainfall variability data and experimentally generated measures of risk preference, was used. The results show that increased rainfall variability prompts households to reduce the application of productivity-enhancing inputs, such as fertiliser, but bolsters the application of low-risk inputs such as manure. These results are robust to alternative specifications and support the theoretical predictions developed. The findings suggest the following policy implications for chemical fertiliser use among risk-averse smallholder farmers in areas characterized by rainfall variability. First, developing more weather-resilient crop varieties and irrigation could stimulate higher use of chemical fertiliser by producing more stable yields. Secondly, weather index insurance (WII) could incentivize higher chemical fertiliser use by reducing income risk and easing liquidity constraints. Thirdly, social protection such as cash transfer programmes could lead to a higher use of chemical fertiliser by serving as insurance against income risks (i.e., through providing regular and predictable financial resources).
{"title":"Rainfall variability and alternative technology adoption: evidence from Ethiopia","authors":"D. Gelo","doi":"10.1080/03031853.2022.2073242","DOIUrl":"https://doi.org/10.1080/03031853.2022.2073242","url":null,"abstract":"ABSTRACT This paper investigates the effects of rainfall variability on agricultural input demand while controlling for risk preference and other covariates. For the empirical analysis, rural household survey data, which was matched with rainfall variability data and experimentally generated measures of risk preference, was used. The results show that increased rainfall variability prompts households to reduce the application of productivity-enhancing inputs, such as fertiliser, but bolsters the application of low-risk inputs such as manure. These results are robust to alternative specifications and support the theoretical predictions developed. The findings suggest the following policy implications for chemical fertiliser use among risk-averse smallholder farmers in areas characterized by rainfall variability. First, developing more weather-resilient crop varieties and irrigation could stimulate higher use of chemical fertiliser by producing more stable yields. Secondly, weather index insurance (WII) could incentivize higher chemical fertiliser use by reducing income risk and easing liquidity constraints. Thirdly, social protection such as cash transfer programmes could lead to a higher use of chemical fertiliser by serving as insurance against income risks (i.e., through providing regular and predictable financial resources).","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"61 1","pages":"314 - 323"},"PeriodicalIF":1.3,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45815834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}