Pub Date : 2023-07-28DOI: 10.1108/jadee-04-2023-0100
Nice Chukwuma-Ume, Chukwuma Otum Ume
PurposeThis study aims to focus on assessing the status of agribusiness enterprises in Nigeria. The specific goals were to ascertain the level of performance of different categories of agribusiness enterprises, and determine the institutional and firm-level characteristics that influence agribusiness performance.Design/methodology/approachThe study is based on secondary data. These data were sourced from the World Bank business enterprise survey. The World Bank Enterprise survey employed a purposive sampling technique to select major staple agribusiness categories in Nigeria. The categories selected were those included in the World Bank's categorization of agribusiness enterprises. These categories include tobacco, food, textiles, leather, garments, paper industries and wood. The individual firms included in the survey were randomly selected from the selected agribusiness categories. In total, 721 agribusiness firms were selected. Data were analyzed with multiple linear regression at a 5% probability level.FindingsThe result of the analysis showed that small-scale agribusiness enterprises have the best performance based on an average of the five performance indicators considered in this study. The determinants of agribusiness performance showed that the credit constraint, size of enterprise, bureaucracy and corruption negatively and significantly affected the performance of agribusiness enterprises in the country, while the gender and educational status of the top manager were positively significant.Research limitations/implicationsThe findings imply that small agribusinesses are instrumental in the development of the agribusiness sector and by extension the economy of the nation.Originality/valueThis study enhances the understanding of how best to deliver improved system-level performance policy and wealth creation, especially within the agribusiness subsector.
{"title":"Status of agribusiness enterprises in Nigeria: evidence from World Bank Enterprise Survey data","authors":"Nice Chukwuma-Ume, Chukwuma Otum Ume","doi":"10.1108/jadee-04-2023-0100","DOIUrl":"https://doi.org/10.1108/jadee-04-2023-0100","url":null,"abstract":"PurposeThis study aims to focus on assessing the status of agribusiness enterprises in Nigeria. The specific goals were to ascertain the level of performance of different categories of agribusiness enterprises, and determine the institutional and firm-level characteristics that influence agribusiness performance.Design/methodology/approachThe study is based on secondary data. These data were sourced from the World Bank business enterprise survey. The World Bank Enterprise survey employed a purposive sampling technique to select major staple agribusiness categories in Nigeria. The categories selected were those included in the World Bank's categorization of agribusiness enterprises. These categories include tobacco, food, textiles, leather, garments, paper industries and wood. The individual firms included in the survey were randomly selected from the selected agribusiness categories. In total, 721 agribusiness firms were selected. Data were analyzed with multiple linear regression at a 5% probability level.FindingsThe result of the analysis showed that small-scale agribusiness enterprises have the best performance based on an average of the five performance indicators considered in this study. The determinants of agribusiness performance showed that the credit constraint, size of enterprise, bureaucracy and corruption negatively and significantly affected the performance of agribusiness enterprises in the country, while the gender and educational status of the top manager were positively significant.Research limitations/implicationsThe findings imply that small agribusinesses are instrumental in the development of the agribusiness sector and by extension the economy of the nation.Originality/valueThis study enhances the understanding of how best to deliver improved system-level performance policy and wealth creation, especially within the agribusiness subsector.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43921038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-27DOI: 10.1108/jadee-07-2022-0139
K. Thomas, Saran Murali
PurposeThis article aims to develop a measurement scale for assessing agripreneurial competencies relevant to emerging economies in alignment with the SDG2 of the UN Sustainable Development Goals 2030.Design/methodology/approachThe scale development procedure includes item development and refinement, data collection, reliability and validity tests and scale purification with exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).FindingsThe validated scale carries eight dimensions of competencies: Agreeableness (AG), Technological Competency (TC), Competitive Spirit (CS), Innovativeness (IN), Self-Confidence (SC), Social Responsibility (SR), Conscientiousness (CO) and Leadership (LS). The analysis puts forth a good and fit model, and the new scale reports sufficient convergent and discriminant validity.Research limitations/implicationsThis study is focused on the agripreneurial competencies of individual agripreneurs; institutional agripreneurs are excluded from the study.Social implicationsIdentifying prominent agripreneurs using the scale developed from this study will aid in allocating various government and non-governmental organisations' assistance to agripreneurs. Since developing economies rely heavily on agriculture, any positive contribution can help alleviate poor economic growth, end hunger, and promote sustainable agriculture (SDG 2 of 2030).Originality/valueThough several scales for measuring entrepreneurial competencies are available, there is no standard scale to measure agripreneurial competencies. This article presents the development and validation of a measurement scale to assess the major competencies of agripreneurs that influence agripreneurship performance.
{"title":"Validation and testing of a measurement model for the assessment of agripreneurial competencies","authors":"K. Thomas, Saran Murali","doi":"10.1108/jadee-07-2022-0139","DOIUrl":"https://doi.org/10.1108/jadee-07-2022-0139","url":null,"abstract":"PurposeThis article aims to develop a measurement scale for assessing agripreneurial competencies relevant to emerging economies in alignment with the SDG2 of the UN Sustainable Development Goals 2030.Design/methodology/approachThe scale development procedure includes item development and refinement, data collection, reliability and validity tests and scale purification with exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).FindingsThe validated scale carries eight dimensions of competencies: Agreeableness (AG), Technological Competency (TC), Competitive Spirit (CS), Innovativeness (IN), Self-Confidence (SC), Social Responsibility (SR), Conscientiousness (CO) and Leadership (LS). The analysis puts forth a good and fit model, and the new scale reports sufficient convergent and discriminant validity.Research limitations/implicationsThis study is focused on the agripreneurial competencies of individual agripreneurs; institutional agripreneurs are excluded from the study.Social implicationsIdentifying prominent agripreneurs using the scale developed from this study will aid in allocating various government and non-governmental organisations' assistance to agripreneurs. Since developing economies rely heavily on agriculture, any positive contribution can help alleviate poor economic growth, end hunger, and promote sustainable agriculture (SDG 2 of 2030).Originality/valueThough several scales for measuring entrepreneurial competencies are available, there is no standard scale to measure agripreneurial competencies. This article presents the development and validation of a measurement scale to assess the major competencies of agripreneurs that influence agripreneurship performance.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49661341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-26DOI: 10.1108/jadee-04-2023-0077
Tobignaré Florent Maré, Pam Zahonogo, K. Savadogo
PurposeIn a context where the promotion of a more sustainable agriculture is clearly aimed at, the paradoxical combination of sustainable agricultural practices (SAP) with chemical pesticides use instead of biological pest management techniques is recurrent in Sub-Saharan African (SSA) countries like Burkina Faso. Chemical pesticides are harmful to the environment and health. This paper aims to analyze the role of farmer education on the mode of adoption of SAP.Design/methodology/approachAn endogenous treatment effect model is used with survey data on 1,898 rural households in Burkina Faso.FindingsThe results show a positive causal effect of farmer education on sustainable and chemical pesticide-free agriculture adoption.Research limitations/implicationsFormal education appears to be general. This research could be extended to consider the role of training or extension services. More detailed results, focusing on spatial effects, could reinforce those of the present research.Originality/valueUnlike previous studies, this paper addresses for the first time the paradoxical behavior of combining SAP with chemical pesticides use. It shows that farmer education contributes to explain it and is therefore a determining factor for a more sustainable agriculture.
{"title":"Farmer education and adoption of sustainable and chemical pesticide-free agriculture: evidence from rural Burkina Faso","authors":"Tobignaré Florent Maré, Pam Zahonogo, K. Savadogo","doi":"10.1108/jadee-04-2023-0077","DOIUrl":"https://doi.org/10.1108/jadee-04-2023-0077","url":null,"abstract":"PurposeIn a context where the promotion of a more sustainable agriculture is clearly aimed at, the paradoxical combination of sustainable agricultural practices (SAP) with chemical pesticides use instead of biological pest management techniques is recurrent in Sub-Saharan African (SSA) countries like Burkina Faso. Chemical pesticides are harmful to the environment and health. This paper aims to analyze the role of farmer education on the mode of adoption of SAP.Design/methodology/approachAn endogenous treatment effect model is used with survey data on 1,898 rural households in Burkina Faso.FindingsThe results show a positive causal effect of farmer education on sustainable and chemical pesticide-free agriculture adoption.Research limitations/implicationsFormal education appears to be general. This research could be extended to consider the role of training or extension services. More detailed results, focusing on spatial effects, could reinforce those of the present research.Originality/valueUnlike previous studies, this paper addresses for the first time the paradoxical behavior of combining SAP with chemical pesticides use. It shows that farmer education contributes to explain it and is therefore a determining factor for a more sustainable agriculture.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42845681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-25DOI: 10.1108/jadee-01-2023-0017
Sreekha Pullaykkodi, Rajesh H. Acharya
PurposeThis study examines the semi-strong market efficiency of the Indian agricultural commodity market in light of market reforms and policies. This study investigates whether the market reforms have boosted the speed of price adjustment and influenced the market quality.Design/methodology/approachThe study used the daily data of nine agricultural commodities. To precisely capture the effects of market microstructure changes, this study split the whole data into pre- and post-ban and pre- and post-reform eras. To ascertain the velocity of price adjustment, the authors used the ARMA (1,1) model, and the ADD VRatio was employed to identify the price movement on a specific day.FindingsThis study found that full incorporation of information happens sometimes. The authors noticed no gradual progress in the quickness of price adjustment. Since both methods suggested the same result for the period, the authors confirm that market microstructure changes do not enhance market quality.Research limitations/implicationsThis research has implications for academicians, policymakers and market players.Originality/valueThe paper has twofold novelty. First, this is a contemporary topic, and very few studies have been done in the Indian agriculture context. Second, the study has implications for policymakers and government because it highlights the effects of structural changes on market quality and market efficiency.
{"title":"Speed of price adjustment toward market efficiency of Indian agricultural commodity market: a market microstructure analysis of market quality","authors":"Sreekha Pullaykkodi, Rajesh H. Acharya","doi":"10.1108/jadee-01-2023-0017","DOIUrl":"https://doi.org/10.1108/jadee-01-2023-0017","url":null,"abstract":"PurposeThis study examines the semi-strong market efficiency of the Indian agricultural commodity market in light of market reforms and policies. This study investigates whether the market reforms have boosted the speed of price adjustment and influenced the market quality.Design/methodology/approachThe study used the daily data of nine agricultural commodities. To precisely capture the effects of market microstructure changes, this study split the whole data into pre- and post-ban and pre- and post-reform eras. To ascertain the velocity of price adjustment, the authors used the ARMA (1,1) model, and the ADD VRatio was employed to identify the price movement on a specific day.FindingsThis study found that full incorporation of information happens sometimes. The authors noticed no gradual progress in the quickness of price adjustment. Since both methods suggested the same result for the period, the authors confirm that market microstructure changes do not enhance market quality.Research limitations/implicationsThis research has implications for academicians, policymakers and market players.Originality/valueThe paper has twofold novelty. First, this is a contemporary topic, and very few studies have been done in the Indian agriculture context. Second, the study has implications for policymakers and government because it highlights the effects of structural changes on market quality and market efficiency.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45014109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-24DOI: 10.1108/jadee-05-2023-0113
Nazif Durmaz, Shuzhe Zheng
PurposeAs one of the world's most valuable traded commodities, the market for coffee beans has grown enormously in recent years. The paper aims on analyzing the nonlinear exchange rate pass-through in Turkish coffee bean imports from two important sources in South America: Brazil and Colombia.Design/methodology/approachData collected in this paper through reliable channels include nominal import value, exchange rate, production of total industry, etc. Independent and dependent variables are obtained through conversion. Since the nonlinearly adjusted exchange rate differs significantly from the linearly adjusted one for the export trade of Brazilian coffee beans, this paper develops the autoregressive distributed lag (ARDL) and nonlinear ARDL frameworks and demonstrates their application through asymmetric cointegration and error correction models.FindingsThe results of this paper show that imports of Brazilian coffee bean exhibit a more dramatic asymmetry compared to Colombia's coffee bean imports. The results of this study contribute to the import trade of non-oil commodities in developing countries, particularly Brazil, and enrich the existing literature on nonlinear exchange rate adjustments.Research limitations/implicationsThe export of Colombian coffee beans is not as old as Brazil, and it was not until much later that Colombia began to export coffee beans to the rest of the world.Originality/valueThe present study is an addition to the literature of agricultural trade. The authors analyze the nonlinear exchange rate pass-through in Turkish coffee bean imports from two important sources in South America: Brazil and Colombia. Different from the current mainstream research on oil commodity trade, this paper focuses on international trade from the perspective of coffee beans, which can enlighten the practice in this field.
{"title":"Turkish coffee bean imports: asymmetric exchange rate pass-through analysis","authors":"Nazif Durmaz, Shuzhe Zheng","doi":"10.1108/jadee-05-2023-0113","DOIUrl":"https://doi.org/10.1108/jadee-05-2023-0113","url":null,"abstract":"PurposeAs one of the world's most valuable traded commodities, the market for coffee beans has grown enormously in recent years. The paper aims on analyzing the nonlinear exchange rate pass-through in Turkish coffee bean imports from two important sources in South America: Brazil and Colombia.Design/methodology/approachData collected in this paper through reliable channels include nominal import value, exchange rate, production of total industry, etc. Independent and dependent variables are obtained through conversion. Since the nonlinearly adjusted exchange rate differs significantly from the linearly adjusted one for the export trade of Brazilian coffee beans, this paper develops the autoregressive distributed lag (ARDL) and nonlinear ARDL frameworks and demonstrates their application through asymmetric cointegration and error correction models.FindingsThe results of this paper show that imports of Brazilian coffee bean exhibit a more dramatic asymmetry compared to Colombia's coffee bean imports. The results of this study contribute to the import trade of non-oil commodities in developing countries, particularly Brazil, and enrich the existing literature on nonlinear exchange rate adjustments.Research limitations/implicationsThe export of Colombian coffee beans is not as old as Brazil, and it was not until much later that Colombia began to export coffee beans to the rest of the world.Originality/valueThe present study is an addition to the literature of agricultural trade. The authors analyze the nonlinear exchange rate pass-through in Turkish coffee bean imports from two important sources in South America: Brazil and Colombia. Different from the current mainstream research on oil commodity trade, this paper focuses on international trade from the perspective of coffee beans, which can enlighten the practice in this field.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47025285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-21DOI: 10.1108/jadee-10-2022-0223
Neeraj Kumar, M. Tyagi, A. Sachdeva
PurposeThis study aims to discover the key performance indicators (KPIs) of the agricultural cold supply chain (ACSC) and analyze their consequences on the performance of ACSC within the bounds of Indian topography.Design/methodology/approachThe KPIs have been explored based on the literature review both in global and Indian context and domain expert's opinions. The interdependency characteristics and cause–effect relationship among the KPIs have been analyzed using a fuzzy decision-making trial and evaluation laboratory (f-DEMATEL) approach.FindingsThe findings extracted from the empirical assessment of the problem find strong compliance with the notions of theoretical model assessment. The results highlight that the cost of product waste and operating and performance costs are the two most important performance indicators of an Indian ACSC. Furthermore, governmental policies and regulations and the effectiveness of cold chain (CC) equipment also have a high degree of influencing characteristics on ACSC performance.Research limitations/implicationsTo connect the study with practicalities, the assessment of the KPIs is allied with real-time practices by clustering the beliefs of Indian professionals. Therefore, the decision-making behavior of the experts might be influenced by geographical constraints. However, the key findings provide advantages to the ACSC players, a bright hope for future food security and a significant profit for farmers.Originality/valueThe presented paper encompasses various aspects of the ACSC, including theoretical and empirical perspectives exercised to contemplate the system dynamics, which inculcates the essence of the associated practicalities. Thus, this study has various practical contributions relevant to managerial and societal perspectives.
{"title":"Visualization and analysis of key performance indicators for agricultural cold supply chain in Indian context using fuzzy DEMATEL approach","authors":"Neeraj Kumar, M. Tyagi, A. Sachdeva","doi":"10.1108/jadee-10-2022-0223","DOIUrl":"https://doi.org/10.1108/jadee-10-2022-0223","url":null,"abstract":"PurposeThis study aims to discover the key performance indicators (KPIs) of the agricultural cold supply chain (ACSC) and analyze their consequences on the performance of ACSC within the bounds of Indian topography.Design/methodology/approachThe KPIs have been explored based on the literature review both in global and Indian context and domain expert's opinions. The interdependency characteristics and cause–effect relationship among the KPIs have been analyzed using a fuzzy decision-making trial and evaluation laboratory (f-DEMATEL) approach.FindingsThe findings extracted from the empirical assessment of the problem find strong compliance with the notions of theoretical model assessment. The results highlight that the cost of product waste and operating and performance costs are the two most important performance indicators of an Indian ACSC. Furthermore, governmental policies and regulations and the effectiveness of cold chain (CC) equipment also have a high degree of influencing characteristics on ACSC performance.Research limitations/implicationsTo connect the study with practicalities, the assessment of the KPIs is allied with real-time practices by clustering the beliefs of Indian professionals. Therefore, the decision-making behavior of the experts might be influenced by geographical constraints. However, the key findings provide advantages to the ACSC players, a bright hope for future food security and a significant profit for farmers.Originality/valueThe presented paper encompasses various aspects of the ACSC, including theoretical and empirical perspectives exercised to contemplate the system dynamics, which inculcates the essence of the associated practicalities. Thus, this study has various practical contributions relevant to managerial and societal perspectives.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43001507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-14DOI: 10.1108/jadee-10-2022-0237
Soumya Mohapatra, B. Sainath, Anirudh K.C., Hminghlui Lal, Nithin Raj K., G. Bhandari, J. Nyika, S. R
Purpose Blockchain technology (BCT), since its emergence touted to be disruptive, is gaining momentum, especially in the agri-food system owing to its multiple benefits.Design/methodology/approach The authors attempted to conduct a systematic bibliometric visualization analysis of the BCT in the agri-food system. The analysis investigated the list of countries and institutions that conducted research on BCT in agriculture, growth trend analysis in research publications, bibliographic coupling of journals using the VOSviewer tool, and the countries and institutions researching BCT.Findings The authors discovered that China, the USA and India were the highly active countries in BCT research and publication. However, India has only limited research collaboration with other countries as compared to China and the USA. The keyword analysis indicates the role of BCT in order to maintain the transparency of the supply chain by means of protecting the privacy of the personal data of the stakeholders.Research limitations/implicationsMore research related to the implementation of BCT in livestock, fishery and agro-forestry sector is recommended.Social implications The case examined is of particular interest as it is concerned with efficient supply chain management.Originality/value This study adds value and evidence to the scope and benefits of BCT by providing a comprehensive literature review, with a special focus on the opportunities and challenges concerned with implementation of BCT in the Indian agri-food system.HighlightsBlockchain technology (BCT) – a promising tool to resolve issues in agriculture supply chain.BCT ensures transparency and protection of information along the supply chain transactions.China, the USA and India are the highly active countries in BCT research and publication.Multiple potential benefits to stakeholders are attributed to the BCT in the agri-food system.The key challenge is to bridge the digital gap between developed and developing nations.Future research on BCT should aim at easing and undistorted competition among stakeholders.
{"title":"Application of blockchain technology in the agri-food system: a systematic bibliometric visualization analysis and policy imperatives","authors":"Soumya Mohapatra, B. Sainath, Anirudh K.C., Hminghlui Lal, Nithin Raj K., G. Bhandari, J. Nyika, S. R","doi":"10.1108/jadee-10-2022-0237","DOIUrl":"https://doi.org/10.1108/jadee-10-2022-0237","url":null,"abstract":"Purpose Blockchain technology (BCT), since its emergence touted to be disruptive, is gaining momentum, especially in the agri-food system owing to its multiple benefits.Design/methodology/approach The authors attempted to conduct a systematic bibliometric visualization analysis of the BCT in the agri-food system. The analysis investigated the list of countries and institutions that conducted research on BCT in agriculture, growth trend analysis in research publications, bibliographic coupling of journals using the VOSviewer tool, and the countries and institutions researching BCT.Findings The authors discovered that China, the USA and India were the highly active countries in BCT research and publication. However, India has only limited research collaboration with other countries as compared to China and the USA. The keyword analysis indicates the role of BCT in order to maintain the transparency of the supply chain by means of protecting the privacy of the personal data of the stakeholders.Research limitations/implicationsMore research related to the implementation of BCT in livestock, fishery and agro-forestry sector is recommended.Social implications The case examined is of particular interest as it is concerned with efficient supply chain management.Originality/value This study adds value and evidence to the scope and benefits of BCT by providing a comprehensive literature review, with a special focus on the opportunities and challenges concerned with implementation of BCT in the Indian agri-food system.HighlightsBlockchain technology (BCT) – a promising tool to resolve issues in agriculture supply chain.BCT ensures transparency and protection of information along the supply chain transactions.China, the USA and India are the highly active countries in BCT research and publication.Multiple potential benefits to stakeholders are attributed to the BCT in the agri-food system.The key challenge is to bridge the digital gap between developed and developing nations.Future research on BCT should aim at easing and undistorted competition among stakeholders.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45954612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-07DOI: 10.1108/jadee-12-2022-0284
Christina Papadopoulou, E. Loizou, F. Chatzitheodoridis, C. Karelakis
PurposeThis study aims to assess the factors influencing the adoption of circular bioeconomy practices by crop farmers.Design/methodology/approachData collected from 303 farmers in the region of Western Macedonia (WM) were used to identify the adoption factors of the circular bioeconomy. Principal component analysis (PCA) and exploratory factor analysis (EFA) techniques were applied through a custom-designed and specially structured questionnaire.FindingsThe results reveal four main motivations that lead farmers to adopt circular bioeconomy practices in their farming activities: interest in physical-economic resources and factors related to production and consumption; technology and renewable energy and the environment.Research limitations/implicationsThis study is based solely on farmers in WM. Furthermore, this study assumes that there will be a strategy to promote a circular bioeconomy under the auspices of the government.Originality/valueFew studies have focused on the perspectives of crop farmers and what encourages them to adopt circular bioeconomy practices in their crops. Existing barriers are related to economic incentives and constraints. The more circular bioeconomy practices farmers adopt, the greater the positive impact on the environment and rural development, and the factors influencing the adoption of these practices are investigated here.
{"title":"Agricultural resources and practices in the circular bioeconomy adoption: evidence from a rural region of Greece","authors":"Christina Papadopoulou, E. Loizou, F. Chatzitheodoridis, C. Karelakis","doi":"10.1108/jadee-12-2022-0284","DOIUrl":"https://doi.org/10.1108/jadee-12-2022-0284","url":null,"abstract":"PurposeThis study aims to assess the factors influencing the adoption of circular bioeconomy practices by crop farmers.Design/methodology/approachData collected from 303 farmers in the region of Western Macedonia (WM) were used to identify the adoption factors of the circular bioeconomy. Principal component analysis (PCA) and exploratory factor analysis (EFA) techniques were applied through a custom-designed and specially structured questionnaire.FindingsThe results reveal four main motivations that lead farmers to adopt circular bioeconomy practices in their farming activities: interest in physical-economic resources and factors related to production and consumption; technology and renewable energy and the environment.Research limitations/implicationsThis study is based solely on farmers in WM. Furthermore, this study assumes that there will be a strategy to promote a circular bioeconomy under the auspices of the government.Originality/valueFew studies have focused on the perspectives of crop farmers and what encourages them to adopt circular bioeconomy practices in their crops. Existing barriers are related to economic incentives and constraints. The more circular bioeconomy practices farmers adopt, the greater the positive impact on the environment and rural development, and the factors influencing the adoption of these practices are investigated here.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42644912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-06DOI: 10.1108/jadee-01-2023-0003
Shiladitya Dey, P. Singh
PurposeThe study aims to analyze the impact of market participation on small paddy farmers' income and consumption expenditure. The study also estimates various determinants affecting the market participation of smallholders. Further, the study computes the efficiency of different paddy marketing channels and identifies the determinants that impact the marketing channel selection of paddy growers in Eastern India.Design/methodology/approachThe study used the propensity score matching (PSM) approach to measure the impact of market participation on farm income and per capita consumption. Further, the study employed Acharya and Aggarwal's composite index approach to estimate the marketing efficiency of various paddy marketing channels. Further, a multinomial logit model was used to determine the marketing channel selection constraints.FindingsThe outcomes indicate that market participation positively impacts farm income and consumption expenditure. Education, membership in farmers' organizations, price information and distance to the marketplace significantly affect farmers' market participation. The results show that the producer–retailer marketing channel is the most efficient compared to others. However, most paddy farmers sell paddy to farmgate collectors due to a lack of market information, vehicle ownership, storage system, and inability to take the risk of venturing out of the farmgate into markets.Research limitations/implicationsThe study uses primary data and captures only farmers' perspectives to measure the impact of market participation, marketing channel efficiency and determinants for market channel selection. The other stakeholder's perceptions can be included in future studies.Originality/valueRarely does any study identifies the efficiency of different marketing channels for paddy farmers in India and includes cognitive factors like risk perception and trust in buyers as constraints for market channel selection.
{"title":"Market participation, market impact and marketing efficiency: an integrated market research on smallholder paddy farmers from Eastern India","authors":"Shiladitya Dey, P. Singh","doi":"10.1108/jadee-01-2023-0003","DOIUrl":"https://doi.org/10.1108/jadee-01-2023-0003","url":null,"abstract":"PurposeThe study aims to analyze the impact of market participation on small paddy farmers' income and consumption expenditure. The study also estimates various determinants affecting the market participation of smallholders. Further, the study computes the efficiency of different paddy marketing channels and identifies the determinants that impact the marketing channel selection of paddy growers in Eastern India.Design/methodology/approachThe study used the propensity score matching (PSM) approach to measure the impact of market participation on farm income and per capita consumption. Further, the study employed Acharya and Aggarwal's composite index approach to estimate the marketing efficiency of various paddy marketing channels. Further, a multinomial logit model was used to determine the marketing channel selection constraints.FindingsThe outcomes indicate that market participation positively impacts farm income and consumption expenditure. Education, membership in farmers' organizations, price information and distance to the marketplace significantly affect farmers' market participation. The results show that the producer–retailer marketing channel is the most efficient compared to others. However, most paddy farmers sell paddy to farmgate collectors due to a lack of market information, vehicle ownership, storage system, and inability to take the risk of venturing out of the farmgate into markets.Research limitations/implicationsThe study uses primary data and captures only farmers' perspectives to measure the impact of market participation, marketing channel efficiency and determinants for market channel selection. The other stakeholder's perceptions can be included in future studies.Originality/valueRarely does any study identifies the efficiency of different marketing channels for paddy farmers in India and includes cognitive factors like risk perception and trust in buyers as constraints for market channel selection.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48564121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-29DOI: 10.1108/jadee-12-2022-0267
R. Akzar, Alexandra Peralta, W. Umberger
PurposeThis study examined the effects of adopting dairy feed technology bundles on the milk production of smallholder dairy farmers.Design/methodology/approachThe study was based on Multinomial Endogenous Switching Regression (MESR) to estimate the effects of the adoption of three feed technology bundles on milk production using data collected from 518 dairy farm households in West Java, Indonesia.FindingsThe findings indicated that adopting technology bundles had positive and robust effects on milk production, with gradual positive effects between non-adoption and the adoption of different bundles of technologies.Research limitations/implicationsThis study focused on the association between the adoption of feed technology bundles and milk production. However, further analysis of the causal links between the adoption of feed technologies and milk production as well as the inclusion of other outcomes in the analysis, such as production costs and risk mitigation, are required.Originality/valueMost of the literature on agricultural technology adoption focuses on the adoption of individual technologies, crop farming and conservation practices. Therefore, this study examined the effects of the adoption of dairy feed technology bundles.
{"title":"Adoption of dairy feed technology bundles improves smallholder dairy farmers' milk production","authors":"R. Akzar, Alexandra Peralta, W. Umberger","doi":"10.1108/jadee-12-2022-0267","DOIUrl":"https://doi.org/10.1108/jadee-12-2022-0267","url":null,"abstract":"PurposeThis study examined the effects of adopting dairy feed technology bundles on the milk production of smallholder dairy farmers.Design/methodology/approachThe study was based on Multinomial Endogenous Switching Regression (MESR) to estimate the effects of the adoption of three feed technology bundles on milk production using data collected from 518 dairy farm households in West Java, Indonesia.FindingsThe findings indicated that adopting technology bundles had positive and robust effects on milk production, with gradual positive effects between non-adoption and the adoption of different bundles of technologies.Research limitations/implicationsThis study focused on the association between the adoption of feed technology bundles and milk production. However, further analysis of the causal links between the adoption of feed technologies and milk production as well as the inclusion of other outcomes in the analysis, such as production costs and risk mitigation, are required.Originality/valueMost of the literature on agricultural technology adoption focuses on the adoption of individual technologies, crop farming and conservation practices. Therefore, this study examined the effects of the adoption of dairy feed technology bundles.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":"26 8","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41303544","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}