We estimate the transmission of coff ee prices from the international market to the Mexican market for the period 2004-2019. Our estimates are obtained from a single equation conditional Error Correction Model (ECM). We estimate our proposed model for two overlapping periods: before a hypothesised break (2004-2013), and full sample (2004-2019). The results of the first estimation suggest that given a 1% increase in the international price of coff ee, the Mexican price increases by 0.9%, which is larger than previous estimates in the literature, but a finding which is consistent with the idea of more market integration due to free trade agreements. Furthermore, we find that Mexican coff ee production has no eff ect in the determination of local coff ee prices. Our model also implies a previously undocumented break in the long-run relationship between international and national prices, which started in 2015 but was statistically significant until 2017. This latter finding suggests that the international coff ee price pass-through to the Mexican economy has come to an end.
{"title":"Is there a pass-through from the international coff ee price to the Mexican coff ee market?","authors":"O. Gálvez-Soriano, Miguel Cortés","doi":"10.7896/j.2143","DOIUrl":"https://doi.org/10.7896/j.2143","url":null,"abstract":"We estimate the transmission of coff ee prices from the international market to the Mexican market for the period 2004-2019. Our estimates are obtained from a single equation conditional Error Correction Model (ECM). We estimate our proposed model for two overlapping periods: before a hypothesised break (2004-2013), and full sample (2004-2019). The results of the first estimation suggest that given a 1% increase in the international price of coff ee, the Mexican price increases by 0.9%, which is larger than previous estimates in the literature, but a finding which is consistent with the idea of more market integration due to free trade agreements. Furthermore, we find that Mexican coff ee production has no eff ect in the determination of local coff ee prices. Our model also implies a previously undocumented break in the long-run relationship between international and national prices, which started in 2015 but was statistically significant until 2017. This latter finding suggests that the international coff ee price pass-through to the Mexican economy has come to an end.","PeriodicalId":44547,"journal":{"name":"Studies in Agricultural Economics","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47037077","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}
Md. Sayemul Islam, Nishat Sultana Ema, Sudipto Chakrobortty, Hasneen Jahan, M. Hossain
Tea export competitiveness and the nexus between tea export and economic growth: The cases of Bangladesh, India and Sri Lanka Long since the end of the British India regime, Bangladesh, India, and Sri Lanka have produced a signifi cant volume of tea which continues to bring them invaluable foreign currency earnings through exports. Our paper explores the tea export competitiveness of these countries by employing the Revealed Symmetric Comparative Advantage (RSCA) index, and analyses the nexus between tea export and economic growth over the period from 1980 to 2018 using several dynamic econometric approaches. Results suggest that Bangladesh has lost its tea export competitiveness over the last decade. India posted moderate performance, while Sri Lanka consistently kept its dominant position. Further, the Johansen Cointegration test outcomes report no long-run relationship between tea export and economic growth across all the countries. The Granger Causality outcomes illustrate that only in Sri Lanka is it the case that tea export causes short-run economic growth. Lastly, the impulse response function projects tea export and economic growth, taking into consideration the response of each to a shock from the other. Extrapolation from the results indicate that, in contrast to the cases of Bangladesh and India (where no direct relationship was found), tea export and economic growth are intimately interconnected in Sri Lanka. This article further recommends eff ective policies so that economic growth in these countries can remain steady and that their tea industries can thrive.
{"title":"Tea export competitiveness and the nexus between tea export and economic growth: The cases of Bangladesh, India and Sri Lanka","authors":"Md. Sayemul Islam, Nishat Sultana Ema, Sudipto Chakrobortty, Hasneen Jahan, M. Hossain","doi":"10.7896/j.2125","DOIUrl":"https://doi.org/10.7896/j.2125","url":null,"abstract":"Tea export competitiveness and the nexus between tea export and economic growth: The cases of Bangladesh, India and Sri Lanka Long since the end of the British India regime, Bangladesh, India, and Sri Lanka have produced a signifi cant volume of tea which continues to bring them invaluable foreign currency earnings through exports. Our paper explores the tea export competitiveness of these countries by employing the Revealed Symmetric Comparative Advantage (RSCA) index, and analyses the nexus between tea export and economic growth over the period from 1980 to 2018 using several dynamic econometric approaches. Results suggest that Bangladesh has lost its tea export competitiveness over the last decade. India posted moderate performance, while Sri Lanka consistently kept its dominant position. Further, the Johansen Cointegration test outcomes report no long-run relationship between tea export and economic growth across all the countries. The Granger Causality outcomes illustrate that only in Sri Lanka is it the case that tea export causes short-run economic growth. Lastly, the impulse response function projects tea export and economic growth, taking into consideration the response of each to a shock from the other. Extrapolation from the results indicate that, in contrast to the cases of Bangladesh and India (where no direct relationship was found), tea export and economic growth are intimately interconnected in Sri Lanka. This article further recommends eff ective policies so that economic growth in these countries can remain steady and that their tea industries can thrive.","PeriodicalId":44547,"journal":{"name":"Studies in Agricultural Economics","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41417892","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}
The spread of COVID-19 has had a signifi cant impact on economic and social activities, with the agri-food sector being no exception. Since the COVID-19 outbreak, numerous studies investigating its sectoral infl uence have been carried out, putting emphasis on demand and supply shocks and changes in trade volumes. However, there has not been much research into the implications of the pandemic for prices. To fi ll the research gap, this paper is an attempt to examine the impact of COVID-19 on producer prices in the EU-27 in Q2 and Q3 of 2020. The study is based on monthly data on trade in agri-food commodities according to the SITC classifi cation in 2015-2020 and the monthly producer prices index of food (2015 = 100) in the EU countries. It was assumed that the agri-food trade balance is the key factor determining the level and changes of domestic prices. The theoretical background for empirical research is provided by a spatial partial equilibrium model and the concept of spatial market integration. The results of the study reveal that there is a negative and statistically signifi cant relationship between an export-import ratio (which illustrates the country’s self-suffi ciency level) in the pre-COVID-19 period and price changes in Q2 of 2020 as well as Q3 of 2020. However, no statistically signifi cant results were obtained for the regression models explaining the relationship between changes in the export/import ratio and price changes in second and third quarters of 2020.
{"title":"COVID-19, spatial market integration and producer prices: A case study of EU agri-food markets","authors":"M. Hamulczuk, Marta Skrzypczyk","doi":"10.7896/j.2137","DOIUrl":"https://doi.org/10.7896/j.2137","url":null,"abstract":"The spread of COVID-19 has had a signifi cant impact on economic and social activities, with the agri-food sector being no exception. Since the COVID-19 outbreak, numerous studies investigating its sectoral infl uence have been carried out, putting emphasis on demand and supply shocks and changes in trade volumes. However, there has not been much research into the implications of the pandemic for prices. To fi ll the research gap, this paper is an attempt to examine the impact of COVID-19 on producer prices in the EU-27 in Q2 and Q3 of 2020. The study is based on monthly data on trade in agri-food commodities according to the SITC classifi cation in 2015-2020 and the monthly producer prices index of food (2015 = 100) in the EU countries. It was assumed that the agri-food trade balance is the key factor determining the level and changes of domestic prices. The theoretical background for empirical research is provided by a spatial partial equilibrium model and the concept of spatial market integration. The results of the study reveal that there is a negative and statistically signifi cant relationship between an export-import ratio (which illustrates the country’s self-suffi ciency level) in the pre-COVID-19 period and price changes in Q2 of 2020 as well as Q3 of 2020. However, no statistically signifi cant results were obtained for the regression models explaining the relationship between changes in the export/import ratio and price changes in second and third quarters of 2020.","PeriodicalId":44547,"journal":{"name":"Studies in Agricultural Economics","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45317493","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}
been placed on how to mitigate the negative effects of climate change across the sector, causing it to fall behind in terms of adaptation. Although adaptation is now part of the sector’s development agenda, sectoral adaptation performance across member states remains low. In order to justify an accelerated adaptation process across the sector, the paper develops a Relative Climate Change Adaption Index (RCCAI) for the sector based on Eurostat data. The analysis shows that there is no single member state across the EU whose agricultural sector can be considered as fully climate-adapted (resilient), and thus validates the hypothesis that adaption efforts must be stepped up across the sector. To ensure continued sectoral adaptive capacity improvement, the paper recommends coherent integration and accelerated implementation of adaptation practices and policies alongside the Common Agricultural Policy (CAP) for the sake of both private and public interests.
{"title":"Multidimensional assessment of European agricultural sector adaptation to climate change","authors":"Kennedy Ndue, Pál Goda","doi":"10.7896/j.2095","DOIUrl":"https://doi.org/10.7896/j.2095","url":null,"abstract":"been placed on how to mitigate the negative effects of climate change across the sector, causing it to fall behind in terms of adaptation. Although adaptation is now part of the sector’s development agenda, sectoral adaptation performance across member states remains low. In order to justify an accelerated adaptation process across the sector, the paper develops a Relative Climate Change Adaption Index (RCCAI) for the sector based on Eurostat data. The analysis shows that there is no single member state across the EU whose agricultural sector can be considered as fully climate-adapted (resilient), and thus validates the hypothesis that adaption efforts must be stepped up across the sector. To ensure continued sectoral adaptive capacity improvement, the paper recommends coherent integration and accelerated implementation of adaptation practices and policies alongside the Common Agricultural Policy (CAP) for the sake of both private and public interests.","PeriodicalId":44547,"journal":{"name":"Studies in Agricultural Economics","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71359898","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}
TOŠOVIĆ-STEVANOVIĆ, Ristanović, Lalić, Žuža, S. Stępień, Michał Borychowski
of 550 small farms in Serbia, which refers to the economic, social and environmental aspects of small farms’ operation. By applying the criteria for selecting key economic indicators of a small farm, the multi-criteria assessment results can be utilised to inform more effective business and policy decisions directed at improving the operation of small-scale family farms. The survey results show that the best-ranked determinants for the viability of small farms in Serbia are first, the price of agricultural products, and next, well-structured agricultural product distribution channels.
{"title":"Determinants for the viability of small-scale family farms in Serbia: an example of the use of a multi-criteria assessment tool","authors":"TOŠOVIĆ-STEVANOVIĆ, Ristanović, Lalić, Žuža, S. Stępień, Michał Borychowski","doi":"10.7896/j.2101","DOIUrl":"https://doi.org/10.7896/j.2101","url":null,"abstract":"of 550 small farms in Serbia, which refers to the economic, social and environmental aspects of small farms’ operation. By applying the criteria for selecting key economic indicators of a small farm, the multi-criteria assessment results can be utilised to inform more effective business and policy decisions directed at improving the operation of small-scale family farms. The survey results show that the best-ranked determinants for the viability of small farms in Serbia are first, the price of agricultural products, and next, well-structured agricultural product distribution channels.","PeriodicalId":44547,"journal":{"name":"Studies in Agricultural Economics","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71359902","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}
impacts of farmland supply, rural-labour supply, and agricultural mechanisation development on grain-crop yields in China. The Autoregressive Distributed Lag (ARDL) approach to co-integration and error correction was applied to data over the period 1978-2017. The results show that farmland supply and agricultural mechanisation developments are positively associated with the growth of grain-crop yields in both the short- and long-term. However, the impact of the rural labour supply on grain yield is insignificant. Strengthening farmland protection policies and promoting innovation-based agricultural mechanisation development plays an important role in sustainable food production. Future research should focus on improving the quality of farmland, agricultural mechanisation, and finding effective strategies to protect farmland for sustainable food production. Moreover, China’s efforts to enhance the multidimensional level of agricul tural mechanisation should be encouraged.
{"title":"The impact of the supply of farmland, level of agricultural mechanisation, and supply of rural labour on grain yields in China","authors":"Meseret-Chanie Abate, Y. Kuang","doi":"10.7896/j.2081","DOIUrl":"https://doi.org/10.7896/j.2081","url":null,"abstract":"impacts of farmland supply, rural-labour supply, and agricultural mechanisation development on grain-crop yields in China. The Autoregressive Distributed Lag (ARDL) approach to co-integration and error correction was applied to data over the period 1978-2017. The results show that farmland supply and agricultural mechanisation developments are positively associated with the growth of grain-crop yields in both the short- and long-term. However, the impact of the rural labour supply on grain yield is insignificant. Strengthening farmland protection policies and promoting innovation-based agricultural mechanisation development plays an important role in sustainable food production. Future research should focus on improving the quality of farmland, agricultural mechanisation, and finding effective strategies to protect farmland for sustainable food production. Moreover, China’s efforts to enhance the multidimensional level of agricul tural mechanisation should be encouraged.","PeriodicalId":44547,"journal":{"name":"Studies in Agricultural Economics","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71359896","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}
and Kubik, 2019; Kassem and Awad, 2012; Lv et al. , 2010; Rashid and Razak, 2017) but not FD. This paper uses multilateral FD data covering 1991 to 2017 for 50 countries. The paper focuses on agriculture globally. Identifying the factors that This paper has used multilateral foreign divestment (FD) data covering 1991 to 2017 for 50 countries, fitted to an optimised model based on microeconomic theory, to estimate the drivers of FD out of agriculture. Identifying the factors that determine FD would offer an opportunity for policymakers to know what kind of policies can discourage FD. Furthermore, knowledge of the directional effect would offer a way to use the policy variables to appropriately influence FD. Market size, exchange rate, political regime characteristics and transitions as well as the level of development drive FD out of agriculture globally. Trade openness and access to land resources have not been found to determine FD. Consequently, agricultural economy managers should work towards increasing the size of the agricultural economy; they should also liaise with their respective country’s Central Banks with a view to ensure exchange rate stability, and with their governments in order to promote better political regime characteristics and smoother political transitions.
Kubik, 2019年;Kassem and Awad, 2012;Lv等，2010;Rashid and Razak, 2017)，但不是FD。本文使用50个国家1991年至2017年的多边FD数据。这篇论文的重点是全球农业。本文使用涵盖1991年至2017年的50个国家的多边外国撤资(FD)数据，拟合基于微观经济学理论的优化模型，以估计农业对外撤资的驱动因素。确定决定FD的因素将为政策制定者提供一个机会，让他们知道什么样的政策可以阻止FD。此外，了解定向效应将提供一种使用政策变量来适当影响FD的方法。市场规模、汇率、政治体制特点和转型以及发展水平等因素，推动FD在全球范围内退出农业。贸易开放和土地资源的获取并没有被发现决定FD。因此，农业经济管理者应该努力增加农业经济的规模;他们还应该与各自国家的中央银行保持联系，以确保汇率稳定，并与政府保持联系，以促进更好的政治制度特征和更顺利的政治过渡。
{"title":"Drivers of agricultural foreign divestment","authors":"","doi":"10.7896/j.2114","DOIUrl":"https://doi.org/10.7896/j.2114","url":null,"abstract":"and Kubik, 2019; Kassem and Awad, 2012; Lv et al. , 2010; Rashid and Razak, 2017) but not FD. This paper uses multilateral FD data covering 1991 to 2017 for 50 countries. The paper focuses on agriculture globally. Identifying the factors that This paper has used multilateral foreign divestment (FD) data covering 1991 to 2017 for 50 countries, fitted to an optimised model based on microeconomic theory, to estimate the drivers of FD out of agriculture. Identifying the factors that determine FD would offer an opportunity for policymakers to know what kind of policies can discourage FD. Furthermore, knowledge of the directional effect would offer a way to use the policy variables to appropriately influence FD. Market size, exchange rate, political regime characteristics and transitions as well as the level of development drive FD out of agriculture globally. Trade openness and access to land resources have not been found to determine FD. Consequently, agricultural economy managers should work towards increasing the size of the agricultural economy; they should also liaise with their respective country’s Central Banks with a view to ensure exchange rate stability, and with their governments in order to promote better political regime characteristics and smoother political transitions.","PeriodicalId":44547,"journal":{"name":"Studies in Agricultural Economics","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71359908","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}
{"title":"The role of tax cuts on agricultural input prices in Turkey","authors":"","doi":"10.7896/j.2070","DOIUrl":"https://doi.org/10.7896/j.2070","url":null,"abstract":"","PeriodicalId":44547,"journal":{"name":"Studies in Agricultural Economics","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42500616","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}
85 were filled out with valid responses. As a result of our Q-analysis, we created 4 factors in order to minimise the number of factors and achieve a given level of total variance. Factor ‘A’ (N=26) “Alternative, Green Consumers” are committed to the products of the sustainable economy, so agroforestry products would also be of interest. Factor ‘B’ (N=21) “Inquisitive Consumers” are interested in and eager to be informed about the products purchased, and they are willing to pay more for agroforestry products. For Factor ‘C’ (N=10) “Busy Consumers”, the low ecological footprint of agroforestry products is a big advantage, and they can be reached with articles published on various news portals and online media most effectively. Opinion Groups ‘A’ and ‘B’ choose the traditional market for their purchases - this is why direct selling at local or farmers’ markets, fairs, or short supply chains can be beneficial. Potential consumers also appear to be willing to pay a higher price if they find an attractive product from an agroforestry system.
{"title":"Consumer perception of Hungarian agroforestry products – results of a Q-methodology attitude research study","authors":"Boglárka Szerb, Jolán Horváth, V. Szente","doi":"10.7896/j.2077","DOIUrl":"https://doi.org/10.7896/j.2077","url":null,"abstract":"85 were filled out with valid responses. As a result of our Q-analysis, we created 4 factors in order to minimise the number of factors and achieve a given level of total variance. Factor ‘A’ (N=26) “Alternative, Green Consumers” are committed to the products of the sustainable economy, so agroforestry products would also be of interest. Factor ‘B’ (N=21) “Inquisitive Consumers” are interested in and eager to be informed about the products purchased, and they are willing to pay more for agroforestry products. For Factor ‘C’ (N=10) “Busy Consumers”, the low ecological footprint of agroforestry products is a big advantage, and they can be reached with articles published on various news portals and online media most effectively. Opinion Groups ‘A’ and ‘B’ choose the traditional market for their purchases - this is why direct selling at local or farmers’ markets, fairs, or short supply chains can be beneficial. Potential consumers also appear to be willing to pay a higher price if they find an attractive product from an agroforestry system.","PeriodicalId":44547,"journal":{"name":"Studies in Agricultural Economics","volume":"343 5","pages":""},"PeriodicalIF":1.2,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41258653","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}
on the growth and output of the agricultural sector in Nigeria with focus on the aggregate output. Some studies narrowed down focus on the crop subsector while neglecting the fisheries subsector which is an important source of cheap protein for our increasing population, a source of employment for the unem-ployed and also key to achieving the first three sustainable development goals 2030. In this study, we investigated the influ ence of FDI on agriculture and exchange rates on the output of the fisheries subsector using time series data that spans from 1980-2018. A Vector Autoregressive Model was also used alongside a growth model. The findings indicate positive growth in the fisheries subsector. FDI to agriculture and exchange rate movements were both found to affect the fisheries subsector positively in the long run, whereas only FDI to agriculture was found to exert a positive influence in the short run. Policies to attract FDI to the sector are thus advocated for, while macroeconomic policies to stabilise the Nigerian currency (naira) against the US dollar are also advised.
{"title":"Influence of foreign direct investment and exchange rate on fisheries in Nigeria","authors":"Hephzibah Onyeje Obekpa, Ebenezer Frimpong, Aliyu Ayuba","doi":"10.7896/j.2084","DOIUrl":"https://doi.org/10.7896/j.2084","url":null,"abstract":"on the growth and output of the agricultural sector in Nigeria with focus on the aggregate output. Some studies narrowed down focus on the crop subsector while neglecting the fisheries subsector which is an important source of cheap protein for our increasing population, a source of employment for the unem-ployed and also key to achieving the first three sustainable development goals 2030. In this study, we investigated the influ ence of FDI on agriculture and exchange rates on the output of the fisheries subsector using time series data that spans from 1980-2018. A Vector Autoregressive Model was also used alongside a growth model. The findings indicate positive growth in the fisheries subsector. FDI to agriculture and exchange rate movements were both found to affect the fisheries subsector positively in the long run, whereas only FDI to agriculture was found to exert a positive influence in the short run. Policies to attract FDI to the sector are thus advocated for, while macroeconomic policies to stabilise the Nigerian currency (naira) against the US dollar are also advised.","PeriodicalId":44547,"journal":{"name":"Studies in Agricultural Economics","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41640367","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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