Pub Date : 2023-09-25DOI: 10.1108/jadee-03-2023-0075
R.S. Sreerag, Prasanna Venkatesan Shanmugam
Purpose The choice of a sales channel for fresh vegetables is an important decision a farmer can make. Typically, the farmers rely on their personal experience in directing the produce to a sales channel. This study examines how sales forecasting of fresh vegetables along multiple channels enables marginal and small-scale farmers to maximize their revenue by proportionately allocating the produce considering their short shelf life. Design/methodology/approach Machine learning models, namely long short-term memory (LSTM), convolution neural network (CNN) and traditional methods such as autoregressive integrated moving average (ARIMA) and weighted moving average (WMA) are developed and tested for demand forecasting of vegetables through three different channels, namely direct (Jaivasree), regulated (World market) and cooperative (Horticorp). Findings The results show that machine learning methods (LSTM/CNN) provide better forecasts for regulated (World market) and cooperative (Horticorp) channels, while traditional moving average yields a better result for direct (Jaivasree) channel where the sales volume is less as compared to the remaining two channels. Research limitations/implications The price of vegetables is not considered as the government sets the base price for the vegetables. Originality/value The existing literature lacks models and approaches to predict the sales of fresh vegetables for marginal and small-scale farmers of developing economies like India. In this research, the authors forecast the sales of commonly used fresh vegetables for small-scale farmers of Kerala in India based on a set of 130 weekly time series data obtained from the Kerala Horticorp.
{"title":"Sales forecasting of selected fresh vegetables in multiple channels for marginal and small-scale farmers in Kerala, India","authors":"R.S. Sreerag, Prasanna Venkatesan Shanmugam","doi":"10.1108/jadee-03-2023-0075","DOIUrl":"https://doi.org/10.1108/jadee-03-2023-0075","url":null,"abstract":"Purpose The choice of a sales channel for fresh vegetables is an important decision a farmer can make. Typically, the farmers rely on their personal experience in directing the produce to a sales channel. This study examines how sales forecasting of fresh vegetables along multiple channels enables marginal and small-scale farmers to maximize their revenue by proportionately allocating the produce considering their short shelf life. Design/methodology/approach Machine learning models, namely long short-term memory (LSTM), convolution neural network (CNN) and traditional methods such as autoregressive integrated moving average (ARIMA) and weighted moving average (WMA) are developed and tested for demand forecasting of vegetables through three different channels, namely direct (Jaivasree), regulated (World market) and cooperative (Horticorp). Findings The results show that machine learning methods (LSTM/CNN) provide better forecasts for regulated (World market) and cooperative (Horticorp) channels, while traditional moving average yields a better result for direct (Jaivasree) channel where the sales volume is less as compared to the remaining two channels. Research limitations/implications The price of vegetables is not considered as the government sets the base price for the vegetables. Originality/value The existing literature lacks models and approaches to predict the sales of fresh vegetables for marginal and small-scale farmers of developing economies like India. In this research, the authors forecast the sales of commonly used fresh vegetables for small-scale farmers of Kerala in India based on a set of 130 weekly time series data obtained from the Kerala Horticorp.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135769166","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 : 2023-09-25DOI: 10.1108/jadee-04-2023-0095
Kanan Elumalai, Anjani Kumar
Purpose This paper aims to analyze relative contribution of intensive margin (IM) and extensive margin (EM) to growth in India's agricultural exports for the period 2001 to 2020. It also analyses the determinants of IM and EMs through a standard gravity model. Design/methodology/approach The study uses export data from United Nations Comtrade, which is accessed through World Integrated Trade Solution (WITS) software. Data for the period 2001 to 2020 were compiled for analysis using the Harmonized System (HS) of commodity classification system at the six-digit level. This study decomposed the contribution of IM and EM in the growth of Indian agricultural trade by using Hummels and Klenow's approach. After performing the export decomposition analysis, the authors analyze the factors influencing IM and EM by using the Tobit regression model and Poisson pseudo-maximum-likelihood (PPML) method of estimation. Findings The EM grew at 1.24% per annum, while the intensive margin (IM) increased by 0.23%. The contribution of growth at the EM increased from 58.8% in 2001 to 70.2% in 2020. Export growth along the IM was relatively high for animal products and agricultural raw materials, while growth at the EM was an important contributor to the export growth of horticultural and processed agricultural products. There was a positive and significant effect of the free trade agreement (FTA) on export margins. Research limitations/implications More disaggregated commodity-specific studies on value chain analysis would provide valuable insights into the issues hindering exports and realizing the untapped export potential. Originality/value There is a scarcity of holistic and recent studies illustrating the role of IM and EMs in agricultural trade growth, covering a large number of commodities and geographies associated with Indian agricultural trade. The study would be helpful to the stakeholders in facilitating informed policy decisions.
{"title":"Intensive and extensive margins of India's agricultural trade: implications for export diversification and development","authors":"Kanan Elumalai, Anjani Kumar","doi":"10.1108/jadee-04-2023-0095","DOIUrl":"https://doi.org/10.1108/jadee-04-2023-0095","url":null,"abstract":"Purpose This paper aims to analyze relative contribution of intensive margin (IM) and extensive margin (EM) to growth in India's agricultural exports for the period 2001 to 2020. It also analyses the determinants of IM and EMs through a standard gravity model. Design/methodology/approach The study uses export data from United Nations Comtrade, which is accessed through World Integrated Trade Solution (WITS) software. Data for the period 2001 to 2020 were compiled for analysis using the Harmonized System (HS) of commodity classification system at the six-digit level. This study decomposed the contribution of IM and EM in the growth of Indian agricultural trade by using Hummels and Klenow's approach. After performing the export decomposition analysis, the authors analyze the factors influencing IM and EM by using the Tobit regression model and Poisson pseudo-maximum-likelihood (PPML) method of estimation. Findings The EM grew at 1.24% per annum, while the intensive margin (IM) increased by 0.23%. The contribution of growth at the EM increased from 58.8% in 2001 to 70.2% in 2020. Export growth along the IM was relatively high for animal products and agricultural raw materials, while growth at the EM was an important contributor to the export growth of horticultural and processed agricultural products. There was a positive and significant effect of the free trade agreement (FTA) on export margins. Research limitations/implications More disaggregated commodity-specific studies on value chain analysis would provide valuable insights into the issues hindering exports and realizing the untapped export potential. Originality/value There is a scarcity of holistic and recent studies illustrating the role of IM and EMs in agricultural trade growth, covering a large number of commodities and geographies associated with Indian agricultural trade. The study would be helpful to the stakeholders in facilitating informed policy decisions.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135769835","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 : 2023-09-15DOI: 10.1108/jadee-02-2023-0028
Nitin Maini, Khushdeep Dharni, Rakesh Rathore
Purpose This study investigates the supply chain efficiency of selected companies in the Indian food processing sector. Additionally, it explores the relationship between supply chain efficiency and firm performance. Design/methodology/approach To determine the supply chain efficiency, the study uses supply chain efficiency measures, such as supply chain length, inefficiency ratio and working capital productivity. Secondary data were collected from the Center for Monitoring Indian Economy (CMIE) Prowess database for the years 2011–2017. Various return measures, such as Return on Net Worth (RONW), Return on Total Assets (ROTA) and Return on Capital Employed (ROCE), were used to measure firm performance. Collected data were analyzed to investigate the relationship between supply chain efficiency and firm performance. Findings Findings of the study reveal the prevalence of inefficient supply chains in the context of the selected companies. There is a significant negative correlation between supply chain efficiency and firm performance. RONW has a significant negative correlation with the length of supply chain as well as supply chain inefficiency. Research limitations/implications This study expands the limited existing research perspective; the study helps to understand the supply chain efficiency and firm performance. Originality/value This is an original piece of work and provides valuable insight into the relationship between supply chain efficiency and firm performance.
{"title":"Supply chain efficiency and relation with the firm performance: a study of the food processing sector in India","authors":"Nitin Maini, Khushdeep Dharni, Rakesh Rathore","doi":"10.1108/jadee-02-2023-0028","DOIUrl":"https://doi.org/10.1108/jadee-02-2023-0028","url":null,"abstract":"Purpose This study investigates the supply chain efficiency of selected companies in the Indian food processing sector. Additionally, it explores the relationship between supply chain efficiency and firm performance. Design/methodology/approach To determine the supply chain efficiency, the study uses supply chain efficiency measures, such as supply chain length, inefficiency ratio and working capital productivity. Secondary data were collected from the Center for Monitoring Indian Economy (CMIE) Prowess database for the years 2011–2017. Various return measures, such as Return on Net Worth (RONW), Return on Total Assets (ROTA) and Return on Capital Employed (ROCE), were used to measure firm performance. Collected data were analyzed to investigate the relationship between supply chain efficiency and firm performance. Findings Findings of the study reveal the prevalence of inefficient supply chains in the context of the selected companies. There is a significant negative correlation between supply chain efficiency and firm performance. RONW has a significant negative correlation with the length of supply chain as well as supply chain inefficiency. Research limitations/implications This study expands the limited existing research perspective; the study helps to understand the supply chain efficiency and firm performance. Originality/value This is an original piece of work and provides valuable insight into the relationship between supply chain efficiency and firm performance.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135354197","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 : 2023-09-14DOI: 10.1108/jadee-10-2022-0231
Risti Permani, Sahara Sahara, Dias Satria, Suprehatin Suprehatin, Nunung Nuryartono
Purpose This paper aims to assess the determinants of food certificate adoption and analyse the impacts of food certificates on e-commerce income among small online agri-food sellers in Indonesia. Design/methodology/approach The authors used data from an online survey of 228 small-online agri-food sellers in East Java, Indonesia. This study aims to focus on two food certificates: a mandatory Halal (Islamic dietary law) certificate and the P-IRT certificate, a food safety certificate for home-based businesses. A maximum simulated likelihood (MSL) estimator was employed to account for selection bias and endogeneity. Findings The study highlights the continued importance of certification in agri-food markets, including e-commerce and the need to consider the degree of substitutability and resource allocation between multiple food certificates. It finds that online agri-food sellers adopting the Halal certificate earn two to three times higher compared to non-adopters. Conversely, the gross income per month from e-commerce sales is 78% lower among those adopting the P-IRT certificate. Moreover, access to regulatory information sources motivates the likelihood of adopting food certificates. In contrast, the business size, marketing channels, contractual relationship and management capabilities are insignificant factors for the adoption of any of the Halal and P-IRT certificate combinations. Research limitations/implications Results from this research might be specific to the context of the focus study area, thereby reducing their generalisability. In addition to gathering representative samples, future research should also capture more complex dimensions of food certificates. These include the cost of acquiring food certificates, online sellers' perceptions of food certificate adoption, and emerging topics such as group certification and the use of technology. Originality/value To the authors' knowledge, this research is one of the first studies investigating the adoption of food certificates within the e-commerce setting. This study also contributes to the small number of studies looking at multiple certificate adoption and food certificate issues from the retailers' perspectives
{"title":"The impacts of food certificate adoption on e-commerce income among small online agri-food sellers","authors":"Risti Permani, Sahara Sahara, Dias Satria, Suprehatin Suprehatin, Nunung Nuryartono","doi":"10.1108/jadee-10-2022-0231","DOIUrl":"https://doi.org/10.1108/jadee-10-2022-0231","url":null,"abstract":"Purpose This paper aims to assess the determinants of food certificate adoption and analyse the impacts of food certificates on e-commerce income among small online agri-food sellers in Indonesia. Design/methodology/approach The authors used data from an online survey of 228 small-online agri-food sellers in East Java, Indonesia. This study aims to focus on two food certificates: a mandatory Halal (Islamic dietary law) certificate and the P-IRT certificate, a food safety certificate for home-based businesses. A maximum simulated likelihood (MSL) estimator was employed to account for selection bias and endogeneity. Findings The study highlights the continued importance of certification in agri-food markets, including e-commerce and the need to consider the degree of substitutability and resource allocation between multiple food certificates. It finds that online agri-food sellers adopting the Halal certificate earn two to three times higher compared to non-adopters. Conversely, the gross income per month from e-commerce sales is 78% lower among those adopting the P-IRT certificate. Moreover, access to regulatory information sources motivates the likelihood of adopting food certificates. In contrast, the business size, marketing channels, contractual relationship and management capabilities are insignificant factors for the adoption of any of the Halal and P-IRT certificate combinations. Research limitations/implications Results from this research might be specific to the context of the focus study area, thereby reducing their generalisability. In addition to gathering representative samples, future research should also capture more complex dimensions of food certificates. These include the cost of acquiring food certificates, online sellers' perceptions of food certificate adoption, and emerging topics such as group certification and the use of technology. Originality/value To the authors' knowledge, this research is one of the first studies investigating the adoption of food certificates within the e-commerce setting. This study also contributes to the small number of studies looking at multiple certificate adoption and food certificate issues from the retailers' perspectives","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135490868","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 : 2023-09-05DOI: 10.1108/jadee-06-2022-0114
Azizu Natogmah, O. Damba, F. Mabe
PurposeMaize and rice constitute the two major staple crops in Ghana. The demand for maize and rice outstrips production levels in Ghana, creating deficits for farmers to capitalize on to increase yield. Farmers procure certified seeds from different supply outlets to improve crop yield. This study assessed the effectiveness of supply outlets of certified maize and rice seeds. This study also examined factors that influence smallholder farmers' decisions in sourcing seed from the identified supply outlets.Design/methodology/approachMulti-stage sampling was used to collect data from smallholder farmers. A total of 360 farmers were interviewed for the analysis. The multivariate probit model was used to estimate the main drivers of the supply outlets of certified seeds.FindingsThe findings revealed that farmers' decisions to use certified seeds from a particular supply outlet are contingent on household size, years of farming, extension contacts, distance to the nearest market, distance to the district capital, access to credit and farm size.Research limitations/implicationsSourcing certified seeds from National Seed Traders Association of Ghana, Research Institutions and Ministry of Food and Agriculture is more effective than input dealers, open market and family and friends.Originality/valueThis study is one of its kind that looked at how effective are the supply outlets of certified seed purchasing outlets.
{"title":"Effectiveness of certified maize and rice seeds supply outlets in Northern region: what influences smallholder farmers' decision?","authors":"Azizu Natogmah, O. Damba, F. Mabe","doi":"10.1108/jadee-06-2022-0114","DOIUrl":"https://doi.org/10.1108/jadee-06-2022-0114","url":null,"abstract":"PurposeMaize and rice constitute the two major staple crops in Ghana. The demand for maize and rice outstrips production levels in Ghana, creating deficits for farmers to capitalize on to increase yield. Farmers procure certified seeds from different supply outlets to improve crop yield. This study assessed the effectiveness of supply outlets of certified maize and rice seeds. This study also examined factors that influence smallholder farmers' decisions in sourcing seed from the identified supply outlets.Design/methodology/approachMulti-stage sampling was used to collect data from smallholder farmers. A total of 360 farmers were interviewed for the analysis. The multivariate probit model was used to estimate the main drivers of the supply outlets of certified seeds.FindingsThe findings revealed that farmers' decisions to use certified seeds from a particular supply outlet are contingent on household size, years of farming, extension contacts, distance to the nearest market, distance to the district capital, access to credit and farm size.Research limitations/implicationsSourcing certified seeds from National Seed Traders Association of Ghana, Research Institutions and Ministry of Food and Agriculture is more effective than input dealers, open market and family and friends.Originality/valueThis study is one of its kind that looked at how effective are the supply outlets of certified seed purchasing outlets.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45272306","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 : 2023-09-04DOI: 10.1108/jadee-05-2023-0115
C. E. Asogwa, Kehinde Oyesomi, Igwebuike Innocent Olijo, Ambrose Igboke, O. Onah, V. C. Gever
PurposeThis study evaluated the use of Internet-mediated platforms for food supply chain among Ukrainian farmers due to the war.Design/methodology/approachThe study was an online survey involving 325 Ukrainian farmers. The instrument for data collection was a structured questionnaire.FindingsThe result of the study revealed the main effect of Internet-powered media such as social media, mobile applications and dedicated websites on food supply, F(1,308) 5.745, p = 0.004, p2 = 0.036. The result also revealed the interacting effect of supply intention (p = 0.001) and destination of supply (p = 0.001). Further analysis revealed that farmers with profit and charity intentions are likely to use dedicated websites, while those with trade-by-batter intentions are likely to use mobile applications. Also, the supply destination significantly interacted with the use of Internet-powered technologies (p = 0.001). A breakdown of the result showed that supply destinations in Ukraine are likely to be coordinated through dedicated websites, while those for neighbouring countries are likely to be coordinated through social media. Finally, variables from the unified theory of technology acceptance and use of technology, such as effort expectancy (ß = 0.412), performance expectancy (ß = 0.655) and social influence (ß = 0.182), collectively and individually predict the use of Internet-powered communication technologies for food supply among Ukrainian farmers, F(3,308)16.801, p = 0.001, R2 = 0.142.Research limitations/implicationsThis study explains how Internet-based media have contributed to the sustenance of agribusiness and food supply chain in challenging times like war.Originality/valueInformation from this study could be useful in understanding the contributing role of digital media in agribusiness and food supply during uncertainties.
{"title":"Impact of Internet-based media on food supply chain among Ukrainian farmers following Russia’s invasion","authors":"C. E. Asogwa, Kehinde Oyesomi, Igwebuike Innocent Olijo, Ambrose Igboke, O. Onah, V. C. Gever","doi":"10.1108/jadee-05-2023-0115","DOIUrl":"https://doi.org/10.1108/jadee-05-2023-0115","url":null,"abstract":"PurposeThis study evaluated the use of Internet-mediated platforms for food supply chain among Ukrainian farmers due to the war.Design/methodology/approachThe study was an online survey involving 325 Ukrainian farmers. The instrument for data collection was a structured questionnaire.FindingsThe result of the study revealed the main effect of Internet-powered media such as social media, mobile applications and dedicated websites on food supply, F(1,308) 5.745, p = 0.004, p2 = 0.036. The result also revealed the interacting effect of supply intention (p = 0.001) and destination of supply (p = 0.001). Further analysis revealed that farmers with profit and charity intentions are likely to use dedicated websites, while those with trade-by-batter intentions are likely to use mobile applications. Also, the supply destination significantly interacted with the use of Internet-powered technologies (p = 0.001). A breakdown of the result showed that supply destinations in Ukraine are likely to be coordinated through dedicated websites, while those for neighbouring countries are likely to be coordinated through social media. Finally, variables from the unified theory of technology acceptance and use of technology, such as effort expectancy (ß = 0.412), performance expectancy (ß = 0.655) and social influence (ß = 0.182), collectively and individually predict the use of Internet-powered communication technologies for food supply among Ukrainian farmers, F(3,308)16.801, p = 0.001, R2 = 0.142.Research limitations/implicationsThis study explains how Internet-based media have contributed to the sustenance of agribusiness and food supply chain in challenging times like war.Originality/valueInformation from this study could be useful in understanding the contributing role of digital media in agribusiness and food supply during uncertainties.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42706798","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}
PurposeThe agricultural extension system in Indonesia has experienced its ups and downs in line with the sociopolitical dynamics of the country. This study examines the impact of access to agricultural extension on the adoption of technology and farm income of smallholder farmers in Banten, Indonesia.Design/methodology/approachThis study uses a quasi-experimental research design to estimate the impact outcomes at the farm level, with methods that form part of the counterfactual framework.FindingsEstimation results show that farming experience, off-farm income, irrigation, group membership, mobile phones and livestock ownership significantly affect extension access. The results of this main study show the important role of extension access to technology adoption and agricultural income. These studies found consistently positive and statistically significant effects of access to extension services on technology adoption and farm income.Research limitations/implicationsThe consistent positive and significant effect of extension access implies that public investment by the government in agricultural extension can optimize the potential impact on technology adoption and agricultural income, which also affects the distribution of the welfare of rural smallholder farmers.Originality/valueAgricultural extension as a key to increasing technology adoption. However, the impact of access to agricultural extension in Indonesia has received less attention in terms of adoption and farm income.
{"title":"Impact of access to agricultural extension on the adoption of technology and farm income of smallholder farmers in Banten, Indonesia","authors":"Eka Rastiyanto Amrullah, Hironobu Takeshita, Hiromi Tokuda","doi":"10.1108/jadee-06-2023-0143","DOIUrl":"https://doi.org/10.1108/jadee-06-2023-0143","url":null,"abstract":"PurposeThe agricultural extension system in Indonesia has experienced its ups and downs in line with the sociopolitical dynamics of the country. This study examines the impact of access to agricultural extension on the adoption of technology and farm income of smallholder farmers in Banten, Indonesia.Design/methodology/approachThis study uses a quasi-experimental research design to estimate the impact outcomes at the farm level, with methods that form part of the counterfactual framework.FindingsEstimation results show that farming experience, off-farm income, irrigation, group membership, mobile phones and livestock ownership significantly affect extension access. The results of this main study show the important role of extension access to technology adoption and agricultural income. These studies found consistently positive and statistically significant effects of access to extension services on technology adoption and farm income.Research limitations/implicationsThe consistent positive and significant effect of extension access implies that public investment by the government in agricultural extension can optimize the potential impact on technology adoption and agricultural income, which also affects the distribution of the welfare of rural smallholder farmers.Originality/valueAgricultural extension as a key to increasing technology adoption. However, the impact of access to agricultural extension in Indonesia has received less attention in terms of adoption and farm income.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47646048","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 : 2023-08-18DOI: 10.1108/jadee-04-2023-0086
K. J., R. Matai, Nagesh N. Murthy
PurposeDue to the recent disruptions caused by COVID-19, global supply chains are stress tested. The affected supply chains have interfered with market tonnage prices for the yield of perishable products like mangoes that are highly dependent on their quality. This research, through empirical findings, thus determines and comprehends the factors influencing mango quality (size).Design/methodology/approachA framework is developed for finding the potential factors of quality building on the previous literature and studies on the available topic. The data collection included face-to-face interviews comprising 240 farmers, hired managers and preharvest contractors in India's Jangaon, Rangareddy and Yadadri Bhuvanagiri districts of Telangana state. The data analysis is done using multiple regression, and the outcomes form the basis of the design of the experiments model.FindingsThe empirical insights support that the quality of mango is affected by factors such as the number of picking cycles, the cost of fertilizer, the variety of fertilizers used, the variety of pesticides used and pesticide application frequency. The direct implications are the benefit to farmers in improving mango quality and maximizing profit per yield cycle.Research limitations/implicationsTo the best of the authors’ knowledge, the first research that has specifically focused on holistically improving the quality(size) of mangoes.Originality/valueThe findings contribute to the perishable supply chain literature, specifically to the mango study, to comprehensively showcase the factors impacting the quality of mangoes and provide guidance to farmers regarding orchard practices.
{"title":"Identifying factors determining the quality of mango: a design of experiments assessment","authors":"K. J., R. Matai, Nagesh N. Murthy","doi":"10.1108/jadee-04-2023-0086","DOIUrl":"https://doi.org/10.1108/jadee-04-2023-0086","url":null,"abstract":"PurposeDue to the recent disruptions caused by COVID-19, global supply chains are stress tested. The affected supply chains have interfered with market tonnage prices for the yield of perishable products like mangoes that are highly dependent on their quality. This research, through empirical findings, thus determines and comprehends the factors influencing mango quality (size).Design/methodology/approachA framework is developed for finding the potential factors of quality building on the previous literature and studies on the available topic. The data collection included face-to-face interviews comprising 240 farmers, hired managers and preharvest contractors in India's Jangaon, Rangareddy and Yadadri Bhuvanagiri districts of Telangana state. The data analysis is done using multiple regression, and the outcomes form the basis of the design of the experiments model.FindingsThe empirical insights support that the quality of mango is affected by factors such as the number of picking cycles, the cost of fertilizer, the variety of fertilizers used, the variety of pesticides used and pesticide application frequency. The direct implications are the benefit to farmers in improving mango quality and maximizing profit per yield cycle.Research limitations/implicationsTo the best of the authors’ knowledge, the first research that has specifically focused on holistically improving the quality(size) of mangoes.Originality/valueThe findings contribute to the perishable supply chain literature, specifically to the mango study, to comprehensively showcase the factors impacting the quality of mangoes and provide guidance to farmers regarding orchard practices.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41885211","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 : 2023-08-16DOI: 10.1108/jadee-05-2023-0117
Nusrat Akber, K. R. Paltasingh
PurposeThis paper finds the returns from soil conservation practices and examines whether the welfare implications of adopting the conservation practices are heterogeneous across the farming groups in Indian agriculture.Design/methodology/approachThe study uses an endogenous switching regression (ESR) method on the data collected from the 77th round of National Sample Survey (2019–21) to quantify the returns from adopting soil conservation practices.FindingsIt finds that farmers adopting soil health conservation practices would have reduced their crop yield by 13% if they did not implement them. Similarly, smallholders who have not adopted soil health management practices would have increased crop yield by 16% if they had adopted the practices. The authors also observed that the returns from adopting soil health management practices vary across farming groups, where marginal and large farms tend to gain higher yields. Finally, the authors find that regardless of farm size, smallholders who did not adopt soil health management practices would benefit from adopting these with increased crop yields of 29%–31%.Research limitations/implicationsMore data could have been better for drawing policy implications, since the number of soil card users are relatively less.Originality/valueThis research work uses nationally representative data, which is first in nature on this very aspect.
{"title":"Are returns from adoption of soil conservation practices heterogeneous? Evidence from Indian agriculture","authors":"Nusrat Akber, K. R. Paltasingh","doi":"10.1108/jadee-05-2023-0117","DOIUrl":"https://doi.org/10.1108/jadee-05-2023-0117","url":null,"abstract":"PurposeThis paper finds the returns from soil conservation practices and examines whether the welfare implications of adopting the conservation practices are heterogeneous across the farming groups in Indian agriculture.Design/methodology/approachThe study uses an endogenous switching regression (ESR) method on the data collected from the 77th round of National Sample Survey (2019–21) to quantify the returns from adopting soil conservation practices.FindingsIt finds that farmers adopting soil health conservation practices would have reduced their crop yield by 13% if they did not implement them. Similarly, smallholders who have not adopted soil health management practices would have increased crop yield by 16% if they had adopted the practices. The authors also observed that the returns from adopting soil health management practices vary across farming groups, where marginal and large farms tend to gain higher yields. Finally, the authors find that regardless of farm size, smallholders who did not adopt soil health management practices would benefit from adopting these with increased crop yields of 29%–31%.Research limitations/implicationsMore data could have been better for drawing policy implications, since the number of soil card users are relatively less.Originality/valueThis research work uses nationally representative data, which is first in nature on this very aspect.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47486308","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 : 2023-08-07DOI: 10.1108/jadee-01-2023-0011
Serafina Stone, Zannie Langford, R. Arsyi, Imran Lapong, Zulung Zach, R. Ruhon, Boedi Julianto, Irsyadi Siradjuddin, Annie Wong, S. Waldron
PurposePoor post-harvest handling practices by seaweed farmers are a key issue in seaweed value chains, contributing to low-quality seaweed being supplied to processors. To address this, a range of advanced drying technologies and methods have been developed, yet uptake by farmers remains low. This study examines factors affecting drying technology uptake by seaweed farmers to identify opportunities to incentivise improved drying practices.Design/methodology/approachThis study draws on a quantitative survey of 273 seaweed farmers in two villages in South Sulawesi, 16 months of ethnographic fieldwork and 166 semi-structured interviews.FindingsFarmers engage in limited adoption of improved drying technologies and practices as they don't receive higher prices for higher quality products, instead aiming to meet only the minimum acceptable standards to avoid a price discount or rejection of their product. Technologies and techniques that have been adopted are often used in ways that differ from their original purpose, such as to reduce drying times and labour input, rather than to produce products of low moisture and dirt contents. Similarly, local traders mix high- and low-quality seaweed in order to supply warehouses with seaweed which on average meets minimum quality standards.Originality/valueThis study reveals that improved drying practices are unlikely to be adopted unless incentivised by more targeted price-grade differentials.
{"title":"Technology adoption by smallholder farmers: the case of drying technology in the Indonesian seaweed industry","authors":"Serafina Stone, Zannie Langford, R. Arsyi, Imran Lapong, Zulung Zach, R. Ruhon, Boedi Julianto, Irsyadi Siradjuddin, Annie Wong, S. Waldron","doi":"10.1108/jadee-01-2023-0011","DOIUrl":"https://doi.org/10.1108/jadee-01-2023-0011","url":null,"abstract":"PurposePoor post-harvest handling practices by seaweed farmers are a key issue in seaweed value chains, contributing to low-quality seaweed being supplied to processors. To address this, a range of advanced drying technologies and methods have been developed, yet uptake by farmers remains low. This study examines factors affecting drying technology uptake by seaweed farmers to identify opportunities to incentivise improved drying practices.Design/methodology/approachThis study draws on a quantitative survey of 273 seaweed farmers in two villages in South Sulawesi, 16 months of ethnographic fieldwork and 166 semi-structured interviews.FindingsFarmers engage in limited adoption of improved drying technologies and practices as they don't receive higher prices for higher quality products, instead aiming to meet only the minimum acceptable standards to avoid a price discount or rejection of their product. Technologies and techniques that have been adopted are often used in ways that differ from their original purpose, such as to reduce drying times and labour input, rather than to produce products of low moisture and dirt contents. Similarly, local traders mix high- and low-quality seaweed in order to supply warehouses with seaweed which on average meets minimum quality standards.Originality/valueThis study reveals that improved drying practices are unlikely to be adopted unless incentivised by more targeted price-grade differentials.","PeriodicalId":45976,"journal":{"name":"Journal of Agribusiness in Developing and Emerging Economies","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48468312","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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