Pub Date : 2023-03-16DOI: 10.1080/03031853.2023.2186003
M. van der Merwe
ABSTRACT Agricultural economists have continuously raised questions about their role in the wider economy and society since the discipline's establishment. This led to continuous reinvention, development and stretching of the discipline's boundaries. We have seen the same critique by scholars in other disciplines; many of these evolved to thrive or regressed to die. This begs the question, is the agricultural economics discipline evolving and adapting to change or regressing and facing extinction? To answer this evolutionary question, I use the three key pillars that make up the hereditary material of a discipline as a conceptual framework: research, teaching and association. I use several data sets to diagnose the health of each of these pillars to ultimately comment on the health of the discipline. Our findings indicate the weakest pillar as the association. Although our research and teaching pillars are not as strong as we want them to be, we are in the process of reinforcement. In conclusion, the agricultural economics discipline is not in crisis, at least not yet. I also acknowledge that the emergence of crisis does not always lead to the end of a discipline, but it promotes educational reflection and reform to lead to disciplinary evolution.
{"title":"Agricultural economics: a discipline in crisis?","authors":"M. van der Merwe","doi":"10.1080/03031853.2023.2186003","DOIUrl":"https://doi.org/10.1080/03031853.2023.2186003","url":null,"abstract":"ABSTRACT Agricultural economists have continuously raised questions about their role in the wider economy and society since the discipline's establishment. This led to continuous reinvention, development and stretching of the discipline's boundaries. We have seen the same critique by scholars in other disciplines; many of these evolved to thrive or regressed to die. This begs the question, is the agricultural economics discipline evolving and adapting to change or regressing and facing extinction? To answer this evolutionary question, I use the three key pillars that make up the hereditary material of a discipline as a conceptual framework: research, teaching and association. I use several data sets to diagnose the health of each of these pillars to ultimately comment on the health of the discipline. Our findings indicate the weakest pillar as the association. Although our research and teaching pillars are not as strong as we want them to be, we are in the process of reinforcement. In conclusion, the agricultural economics discipline is not in crisis, at least not yet. I also acknowledge that the emergence of crisis does not always lead to the end of a discipline, but it promotes educational reflection and reform to lead to disciplinary evolution.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"62 1","pages":"117 - 132"},"PeriodicalIF":1.3,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48160390","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 : 2023-03-16DOI: 10.1080/03031853.2023.2181831
F. Kitole
As recognized, adventure as well as experience practically lesson, amusement, as competently as concord can be gotten by just checking out a ebook economics of agricultural development world food systems and resource use routledge textbooks in environmental and agricultural economics after that it is not directly done, you could take on even more something like this life, something like the world.
{"title":"Economics of Agricultural Development: World Food Systems and Resource Use,","authors":"F. Kitole","doi":"10.1080/03031853.2023.2181831","DOIUrl":"https://doi.org/10.1080/03031853.2023.2181831","url":null,"abstract":"As recognized, adventure as well as experience practically lesson, amusement, as competently as concord can be gotten by just checking out a ebook economics of agricultural development world food systems and resource use routledge textbooks in environmental and agricultural economics after that it is not directly done, you could take on even more something like this life, something like the world.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"62 1","pages":"194 - 196"},"PeriodicalIF":1.3,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47784516","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 : 2023-03-14DOI: 10.1080/03031853.2023.2180041
Million Sileshi, S. Sieber, Teshome Lejissa, D. Ndyetabula
ABSTRACT Most food insecurity studies in developing countries, including Ethiopia, use a single food security indicator to determine the food insecurity status, thus overlooking the multidimensional nature of food security. Using cross-sectional data collected from 408 households in three districts of East Hararghe Zone, Ethiopia, this study combined two food security indicators namely calorie intake and Food Consumption Score (FCS) so as to gain more insights on the multidimensional nature of food security and to categorise households into different food insecurity groups. The study further sought to identify factors influencing the households’ food insecurity status. The research findings based respectively on the per capita calorie intake and the FCS indicate that 36.03 and 49.02 percent of the sampled households were food insecure. However, the findings reveal that when the two indicators were combined, 22.06 and 40.93 percent of the households were completely food insecure and transitory food insecure respectively. These findings also suggest that the 40.93 percent (26.96 and 13.97 percent) of households categorised as food secure based on single indicators (i.e., per capita calorie intake and FCS respectively) was unrealistic. Furthermore, findings from the bivariate probit model indicate that food insecurity incidences decreased with the adoption of soil and water conservation, access to irrigation, livestock, access to fertilisers, and household income. It increased with the age of the household head, the household size, and the coping strategy index. Therefore, policies and strategies combating food insecurity should consider a combination of food security indicators.
{"title":"Drivers of rural households’ food insecurity in Ethiopia: a comprehensive approach of calorie intake and food consumption score","authors":"Million Sileshi, S. Sieber, Teshome Lejissa, D. Ndyetabula","doi":"10.1080/03031853.2023.2180041","DOIUrl":"https://doi.org/10.1080/03031853.2023.2180041","url":null,"abstract":"ABSTRACT Most food insecurity studies in developing countries, including Ethiopia, use a single food security indicator to determine the food insecurity status, thus overlooking the multidimensional nature of food security. Using cross-sectional data collected from 408 households in three districts of East Hararghe Zone, Ethiopia, this study combined two food security indicators namely calorie intake and Food Consumption Score (FCS) so as to gain more insights on the multidimensional nature of food security and to categorise households into different food insecurity groups. The study further sought to identify factors influencing the households’ food insecurity status. The research findings based respectively on the per capita calorie intake and the FCS indicate that 36.03 and 49.02 percent of the sampled households were food insecure. However, the findings reveal that when the two indicators were combined, 22.06 and 40.93 percent of the households were completely food insecure and transitory food insecure respectively. These findings also suggest that the 40.93 percent (26.96 and 13.97 percent) of households categorised as food secure based on single indicators (i.e., per capita calorie intake and FCS respectively) was unrealistic. Furthermore, findings from the bivariate probit model indicate that food insecurity incidences decreased with the adoption of soil and water conservation, access to irrigation, livestock, access to fertilisers, and household income. It increased with the age of the household head, the household size, and the coping strategy index. Therefore, policies and strategies combating food insecurity should consider a combination of food security indicators.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"62 1","pages":"152 - 163"},"PeriodicalIF":1.3,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43586155","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 : 2023-02-13DOI: 10.1080/03031853.2023.2169481
W. Mulimbi, L. Nalley, J. Strauss, Kristiina Ala-Kokko
ABSTRACT Global wheat yields must increase to meet current and rising global demand despite the increasing threats to production resulting from climate change. One climate change adaptation strategy in wheat production in the Western Cape of South Africa is conservation agriculture (CA). Using a data set of 1,043 plot-level wheat observations collected at Langgewens and Tygerhoek research farms from 2002 to 2020, this study conducts a stepwise Life Cycle Assessment (LCA) to estimate the environmental and economic impacts of switching from conventional wheat production to CA’s zero tillage (zero-till) and no-tillage (no-till) systems. The results indicate that CA is more profitable and has a higher environmental efficiency, than conventional tillage wheat production. In Langgewens, zero-till and no-till are respectively 113% and 55% more efficient than conventional tillage when comparing the environmental impact of producing one kg of wheat. Findings also suggest that, compared to 100% conventional tillage wheat production, the adoption of CA systems has led to reductions in environmental damage valued between R269.2 and R402.5 million in the Western Cape.
{"title":"Economic and environmental comparison of conventional and conservation agriculture in South African wheat production","authors":"W. Mulimbi, L. Nalley, J. Strauss, Kristiina Ala-Kokko","doi":"10.1080/03031853.2023.2169481","DOIUrl":"https://doi.org/10.1080/03031853.2023.2169481","url":null,"abstract":"ABSTRACT Global wheat yields must increase to meet current and rising global demand despite the increasing threats to production resulting from climate change. One climate change adaptation strategy in wheat production in the Western Cape of South Africa is conservation agriculture (CA). Using a data set of 1,043 plot-level wheat observations collected at Langgewens and Tygerhoek research farms from 2002 to 2020, this study conducts a stepwise Life Cycle Assessment (LCA) to estimate the environmental and economic impacts of switching from conventional wheat production to CA’s zero tillage (zero-till) and no-tillage (no-till) systems. The results indicate that CA is more profitable and has a higher environmental efficiency, than conventional tillage wheat production. In Langgewens, zero-till and no-till are respectively 113% and 55% more efficient than conventional tillage when comparing the environmental impact of producing one kg of wheat. Findings also suggest that, compared to 100% conventional tillage wheat production, the adoption of CA systems has led to reductions in environmental damage valued between R269.2 and R402.5 million in the Western Cape.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"62 1","pages":"133 - 151"},"PeriodicalIF":1.3,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49575750","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: 10.1080/03031853.2022.2156898
M. T. Cobbinah, G. Danso-Abbeam, A. Ogundeji
ABSTRACT Access to cheap labour affects Ghanaian smallholder farmers significantly. Such access can be enhanced through mutual labour support. However, it has become necessary to explore how this form of collective action affects farmers’ productivity and efficiency. In this study, the impact of access to mutual labour support on productivity and technical efficiency was estimated using data collected from 592 smallholder maize farmers in Northern Ghana. The study uses a translog stochastic production frontier model, while accounting for sample selection bias that may emanate from both observable and unobservable household characteristics. Farmers with access to mutual labour support are significantly more productive and technically efficient than those without, with mean technical efficiency in the range of 0.62–0.71 for farmers with access to mutual labour support and 0.55–0.60 for those without access. Sex, education, spraying machine ownership, farm size, extension visits, access to credit, and membership of farmer-based organisation are significant determinants of access to mutual labour support. Policies to help farmer groups and extension agents promote mutual labour support accessibility among farmers are recommended.
{"title":"Access to mutual labour support in agriculture: Implications for maize productivity and efficiency of farmers in northern Ghana","authors":"M. T. Cobbinah, G. Danso-Abbeam, A. Ogundeji","doi":"10.1080/03031853.2022.2156898","DOIUrl":"https://doi.org/10.1080/03031853.2022.2156898","url":null,"abstract":"ABSTRACT\u0000 Access to cheap labour affects Ghanaian smallholder farmers significantly. Such access can be enhanced through mutual labour support. However, it has become necessary to explore how this form of collective action affects farmers’ productivity and efficiency. In this study, the impact of access to mutual labour support on productivity and technical efficiency was estimated using data collected from 592 smallholder maize farmers in Northern Ghana. The study uses a translog stochastic production frontier model, while accounting for sample selection bias that may emanate from both observable and unobservable household characteristics. Farmers with access to mutual labour support are significantly more productive and technically efficient than those without, with mean technical efficiency in the range of 0.62–0.71 for farmers with access to mutual labour support and 0.55–0.60 for those without access. Sex, education, spraying machine ownership, farm size, extension visits, access to credit, and membership of farmer-based organisation are significant determinants of access to mutual labour support. Policies to help farmer groups and extension agents promote mutual labour support accessibility among farmers are recommended.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"62 1","pages":"61 - 79"},"PeriodicalIF":1.3,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48144773","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: 10.1080/03031853.2023.2176896
J. Greyling, Bandile Banele Mdluli, B. Conradie
ABSTRACT In response to the 2015 paper by Henderson published In Journal of Agricultural Economics, this case study of dairy farmers in Eswatini, this case study of dairy farmers in Eswatini tests the explanatory power of two hypotheses to explain the inverse relationship between farm size and productivity. To this end, we fit a stochastic frontier production function with inefficiency effects. We find that dairy farmers who use hired labour are significantly less efficient than those who use own and family labour. This supports the labour market imperfections hypothesis. To test the technical efficiency hypothesis, we segment our sample into small, medium and large farmers based on the number of cows in milk. We find that small farmers are the most efficient (78.5%), followed by medium (75.9%) and large (75.1%) farmers, but the differences are not statistically significant. This supports Henderson's finding that differences in efficiency affect productivity but not enough to disqualify labour market imperfections as the principal explanation for the inverse relationship.
{"title":"Farm size and productivity: smallholder dairy production in Eswatini","authors":"J. Greyling, Bandile Banele Mdluli, B. Conradie","doi":"10.1080/03031853.2023.2176896","DOIUrl":"https://doi.org/10.1080/03031853.2023.2176896","url":null,"abstract":"ABSTRACT In response to the 2015 paper by Henderson published In Journal of Agricultural Economics, this case study of dairy farmers in Eswatini, this case study of dairy farmers in Eswatini tests the explanatory power of two hypotheses to explain the inverse relationship between farm size and productivity. To this end, we fit a stochastic frontier production function with inefficiency effects. We find that dairy farmers who use hired labour are significantly less efficient than those who use own and family labour. This supports the labour market imperfections hypothesis. To test the technical efficiency hypothesis, we segment our sample into small, medium and large farmers based on the number of cows in milk. We find that small farmers are the most efficient (78.5%), followed by medium (75.9%) and large (75.1%) farmers, but the differences are not statistically significant. This supports Henderson's finding that differences in efficiency affect productivity but not enough to disqualify labour market imperfections as the principal explanation for the inverse relationship.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"62 1","pages":"49 - 60"},"PeriodicalIF":1.3,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45243927","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: 10.1080/03031853.2022.2150664
A. A. Adaku, Francis Tsiboe, J. Clottey
ABSTRACT There is a strong linkage between agricultural performance and economic growth in developing countries. However, the gain from agriculture disproportionately trickles down to the poor which can be partly reduced by addressing gender differences in production. Historically, the validity of gender statistics has been questioned as the way researchers and policymakers describe gender differences also affects how they perceive and address them. Amid these antecedents, we apply a meta-stochastic frontier to pooled cross-sectional population-based surveys that represent three decades (1987–2017) of the production history for twelve crops in Ghana to assess the dynamics of gender gaps in technology gaps and technical efficiency (TE). Results indicate that female farmers exhibit technology gap and TE scores of 25 and 76% while their male counterparts exhibit scores of 20 and 73%. The TE gap of 4% against male farmers has remained relatively steady over the three decades while the technology adoption gap against females has reduced from 18% in 1997/98 to 3% in 2016/17. All farmers operate at 60% of the potential possible given the overall crop production technology in Ghana. Over the three decades, the estimated crop production gap of 5.94% against females shifted to a gap estimated at 9.24% against males.
{"title":"Taking stock of gender gaps in crop production technology adoption and technical efficiency in Ghana","authors":"A. A. Adaku, Francis Tsiboe, J. Clottey","doi":"10.1080/03031853.2022.2150664","DOIUrl":"https://doi.org/10.1080/03031853.2022.2150664","url":null,"abstract":"ABSTRACT There is a strong linkage between agricultural performance and economic growth in developing countries. However, the gain from agriculture disproportionately trickles down to the poor which can be partly reduced by addressing gender differences in production. Historically, the validity of gender statistics has been questioned as the way researchers and policymakers describe gender differences also affects how they perceive and address them. Amid these antecedents, we apply a meta-stochastic frontier to pooled cross-sectional population-based surveys that represent three decades (1987–2017) of the production history for twelve crops in Ghana to assess the dynamics of gender gaps in technology gaps and technical efficiency (TE). Results indicate that female farmers exhibit technology gap and TE scores of 25 and 76% while their male counterparts exhibit scores of 20 and 73%. The TE gap of 4% against male farmers has remained relatively steady over the three decades while the technology adoption gap against females has reduced from 18% in 1997/98 to 3% in 2016/17. All farmers operate at 60% of the potential possible given the overall crop production technology in Ghana. Over the three decades, the estimated crop production gap of 5.94% against females shifted to a gap estimated at 9.24% against males.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"62 1","pages":"31 - 48"},"PeriodicalIF":1.3,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44568217","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: 10.1080/03031853.2023.2176895
J. Fourie, J. Greyling
ABSTRACT We calculate, for the first time, farm-level wheat productivity for Cape Colony settler farmers in 1825. We can do so because we now have access to a fully transcribed tax census for that year. Although there is some variation in wheat productivity across the Colony, probably a result of the varying environmental factors, we find much larger variation within districts. We perform various tests to explain this large variation. We find, surprisingly, that slave labour has no explanatory power. Khoe labour, however, helps to differentiate farmers according to their productivity.
{"title":"Wheat productivity in the Cape Colony in 1825: evidence from newly transcribed tax censuses","authors":"J. Fourie, J. Greyling","doi":"10.1080/03031853.2023.2176895","DOIUrl":"https://doi.org/10.1080/03031853.2023.2176895","url":null,"abstract":"ABSTRACT We calculate, for the first time, farm-level wheat productivity for Cape Colony settler farmers in 1825. We can do so because we now have access to a fully transcribed tax census for that year. Although there is some variation in wheat productivity across the Colony, probably a result of the varying environmental factors, we find much larger variation within districts. We perform various tests to explain this large variation. We find, surprisingly, that slave labour has no explanatory power. Khoe labour, however, helps to differentiate farmers according to their productivity.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"62 1","pages":"98 - 115"},"PeriodicalIF":1.3,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59306079","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: 10.1080/03031853.2023.2176894
O. Kirui, Lukas Kornher, Maksud Beckchanov
ABSTRACT This paper compares agricultural productivity growth, specifically, the impact of agricultural mechanisation on total factor productivity and cereal yields, across African countries using contemporaneous and sequential Malmquist index approaches. Contemporaneous approach findings indicate that agricultural productivity grew by 1% annually over 1961–2014, while sequential technology measures show much higher growth of 1.7%. The highest growth rates were experienced since the 2000s due to technical progress. Regression analysis indicates that mechanisation, research and development, weather conditions, and population pressure influence African agricultural productivity. Climate-smart options to sustain crop yields in countries relying heavily on rain-fed agriculture are critical. The transfer of knowledge from countries with high-level productivity might enhance productivity in “laggard” countries.
{"title":"Productivity growth and the role of mechanisation in African agriculture","authors":"O. Kirui, Lukas Kornher, Maksud Beckchanov","doi":"10.1080/03031853.2023.2176894","DOIUrl":"https://doi.org/10.1080/03031853.2023.2176894","url":null,"abstract":"ABSTRACT This paper compares agricultural productivity growth, specifically, the impact of agricultural mechanisation on total factor productivity and cereal yields, across African countries using contemporaneous and sequential Malmquist index approaches. Contemporaneous approach findings indicate that agricultural productivity grew by 1% annually over 1961–2014, while sequential technology measures show much higher growth of 1.7%. The highest growth rates were experienced since the 2000s due to technical progress. Regression analysis indicates that mechanisation, research and development, weather conditions, and population pressure influence African agricultural productivity. Climate-smart options to sustain crop yields in countries relying heavily on rain-fed agriculture are critical. The transfer of knowledge from countries with high-level productivity might enhance productivity in “laggard” countries.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"62 1","pages":"80 - 97"},"PeriodicalIF":1.3,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48684685","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: 10.1080/03031853.2023.2179720
J. Piesse, N. Vink
ABSTRACT Our purpose here is to provide an introduction to the set of papers in this Special Edition on “The measurement of agricultural productivity in Africa” and to draw lessons for further research.
{"title":"The measurement of agricultural productivity in Africa","authors":"J. Piesse, N. Vink","doi":"10.1080/03031853.2023.2179720","DOIUrl":"https://doi.org/10.1080/03031853.2023.2179720","url":null,"abstract":"ABSTRACT Our purpose here is to provide an introduction to the set of papers in this Special Edition on “The measurement of agricultural productivity in Africa” and to draw lessons for further research.","PeriodicalId":55541,"journal":{"name":"Agrekon","volume":"62 1","pages":"1 - 4"},"PeriodicalIF":1.3,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46491842","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}
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