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The purpose of this paper was to analyse the demographic, crop choice, institutional and environmental factors that will influence the vegetable growers in Bono and Ahafo regions of Ghana to produce organic vegetables. The study also assessed the knowledge level of vegetable growers on organic certification processes.

Primary data were collected with the help of a structured questionnaire from 120 vegetable growers via a multistage sampling technique. The Heckman selection model was used to analyse the factors that influence farmers' willingness to adopt organic production as well as the intensity of adoption.

In this study, pepper (Capsicum spp) production, residential status, knowledge of organic certification processes, perceived negative environmental effect of conventional farming on the soil, and climate change positively influenced willingness to produce organic vegetables. Likewise, pepper production perceived negative environmental effect of conventional farming on the soil positively influenced the intensity of adoption. Household headship status, garden egg (Solanum integrifolium) production, perceived knowledge on grading and standards of vegetables, as well as the perception that only pesticides can be used to control vegetable pests negatively influenced the willingness to produce organic vegetables however perceived expertise of the farmer on grades and standards influenced intensity of adoption negatively.

In Ghana, even though most vegetable farmers do not have the requisite knowledge in the safe handling of pesticides, usage is widespread. Subsequent to this, is a health risk to farmers, consumers and the environment. As a result, there is a growing awareness that organic agriculture has a role to play in addressing problems associated with agrochemical use and over usage. However, most studies are consumer oriented with limited empirical research on the willingness to produce organics by farmers.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2019-0723

The purpose of this paper is to analyse factors that determine farmers’ intention to commercialise vegetable-based agribusiness ventures in rural areas and assess the effect of commercialisation on farmers’ income.

The study used a regression approach. Market participation and farmers’ income were hypothesised to be dependent on other external factors. This study employed data compiled from a quantitative survey of 357 farm households located in four major vegetable producing regions of rural East Java and Bali, Indonesia.

Results indicate that household attributes, business environment, supporting facilities and farm characteristics determined farmers to commercialise vegetable farming. Access to credit, seed technology and farm site played high contribution to the market participation. Ultimately, commercial vegetable farming provides an economic advantage regarding increased income. Land fragmentation and status of landholding were identified to influence the net revenue of vegetable farming.

This study has a limitation concerning the number of samples and the availability of data and information. The number of samples is 357 which is about 4 per cent of the total population.

Establishment of vegetable agribusiness terminals with all market infrastructures, adequate access to market information, credit and human capital investment through training and extension services are also required, will boost market participation. Re-structuring land ownership might be the best step to augment farmers’ income, through consolidation of fragmented fertile lands devoted to intensive vegetable farming.

This study was purposely conducted in rural areas where there were subsistence farmers, as this is to improve farmers’ income by commercialising vegetable crops. A novel feature of this finding is the role of access to credit in the commercialisation of vegetable farming and the impact of landholding status on the profitability of intensive farming of high-valued vegetables.

Farmers’ selection of vegetable marketing channels directly affects their income and is important to stable vegetable supply and food control. The purpose of this paper is to investigate the farmers’ selection behavior of vegetable marketing channels, and to determine the key factors which affected farmer’ decision making.

A total of 191 valid questionnaires were collected from 50 villages in seven main vegetable production districts in Beijing urban areas from September to December 2015, yielding a response rate of 86.8 percent. The multinomial logit model was used for analysis in this study.

The results revealed that the farmers mainly selected farmers’ market, cooperative, and wholesaler to sell their vegetables, which comprised 96.57 percent of total vegetable sales. Estimation results showed that cooperative, vegetable acreage, price satisfaction, and slow sales were most important factors which influence positively the probability of opting to sell vegetables at a cooperative rather than at the farmer’s market. For wholesalers, gender of the household head and cooperative had most significantly negative effect, and age had a positive impact on farmer’s choice of market channels.

The results and implications obtained in the present study could help policymakers to establish a scientific-based and reasonable policy to encourage vegetable producers to participate in the circulation of vegetables in Beijing and guarantee their income in vegetable supply chain. The suggestions of this study could also be used for the improvement of the vegetable sector in other cities facing similar issues.

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.

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).

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.

The price of vegetables is not considered as the government sets the base price for the vegetables.

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.

In Nepal, not much is known about the adoption of improved vegetable varieties. Also, there are reasons to expect that the determinants of adoption may vary between subsistence and commercial farmers, given their different production/market orientations. Therefore, the paper aims to examine the adoption intentions of commercial and subsistence vegetable farmers.

A logistic regression model was used to empirically test the determinants of the intention to adopt and recommend improved vegetable varieties. The paper also uses propensity score matching (PSM) to assess the causal effects of production/market orientation on household dietary patterns. Cross-sectional data of 600 Nepalese vegetable farmers are analyzed.

Compared to subsistence farmers, commercial vegetable farmers obtain seeds mainly from formal sources and use hybrid seeds. The most consistent covariates of vegetable adoption intentions were risk preferences and experience growing vegetables. Overall, adoption intentions were higher among commercial farmers, and commercial vegetable households tend to consume more vegetables.

Considering that vegetable farming provides an important supplementary food production system for the household, adopting improved vegetable varieties is pivotal to increasing productivity and improving household level dietary diversity in developing countries. Actions to promote wider adoption of vegetable varieties and encourage healthier dietary patterns could be successful if these efforts also focus on subsistence farmers. The findings in this paper will be useful to policymakers to better prioritize dissemination strategies.

The paper highlights the differences in characteristics and adoption intention towards new vegetable varieties between subsistence and commercial farmers. The impact of commercial production on healthier household dietary patterns is accentuated.

While various aspects of the vegetable supply chain (SC) have been increasingly studied, most studies tend to investigate the downstream part of the SC in terms of customer demand and product quality. Relatively fewer studies have focused on upstream suppliers/farmers. This study aims to understand upstream farmers’ positions in different types of vegetable SCs and identify ways of enhancing sustainable vegetable SC collaboration.

This study is based on an in-depth case study of a cooperative SC in Vietnam from the perspectives of both the cooperative and its farmers.

The study found that cooperative SCs are the most appropriate for Vietnamese farmers. It also identified the key activities needed to engage farmers with cooperative SCs and the mechanisms that the cooperative needs to develop. Cooperative SCs can be enhanced only when farmers are motivated to engage in SC activities and when the cooperative implements a robust management mechanism.

This study provides new, insightful results on how to engage with small fragmented farmers for SC collaboration and how to enhance the roles of cooperative SCs in the vegetable industry in Vietnam. It also provides information for policymakers to support sustainable vegetable SC development and maintain its sustainability.

The purpose of this paper is to analyse factors affecting the use of pesticides in intensive vegetable farming in Java, Indonesia. Evaluating such factors is expected to provide appropriate policies to reduce pesticides, and eventually, mitigates the adverse impacts of pesticides on human health and the environment.

Data were compiled from a farm survey of randomly selected 240 vegetable farmers in three regions of Java in 2014. A concept of economic threshold was employed to analyse the pesticide use determinants, which were estimated using econometric models.

Factors leading to the increase in the application of pesticides were the number of observed insect pests, prices of vegetables, use of local varieties, and use of mixed pesticides. Conversely, factors lowering the use of pesticides were the number of observed diseases, the cost of pesticides, and area planted to vegetables. The most important factor in influencing pesticide use was farmers’ perception on the correct prediction of yield losses associated with pests and diseases.

The sample for this research is somewhat low and the analysis was based on one-year data of the quantity of pesticides in a formulation.

The use of pesticides can be reduced by training farmers on crop protection practices, which provide correct information on pests and diseases. Policies related to the price of pesticides would be ineffective, as farmers still highly relied on pesticides. These findings will be useful for reducing the use of pesticides in intensive vegetable farming in Indonesia, and in tropical countries in general.

Pesticides have two opposite properties: to increase income on the one side and to cause devastation of life on the other side. Because pesticides are generally less selectively toxic than would be desired, non-targets including humans and the environment must be protected from contamination by these agrochemicals. This study found the most important determinants for reducing pesticide exposures in Indonesian intensive farming.

The purpose of this paper is to analyse the distribution channels of vegetable sectors in Indonesia, its economic impact on the performance of vegetable sales and the factors affecting marketing channels selected by producers.

The study employed qualitative and quantitative methods. A market survey was qualitatively conducted at producer, intermediary, wholesaler, hotel and food processing company as well as retailer levels. Producer survey was quantitatively conducted at the farm level, by interviewing 556 randomly selected farm households. Structural equation modelling was employed to accomplish the objectives of the study.

Marketing channels for vegetables in Indonesia was complex and relatively long. Farmers decided to select particular channels because of business circumstance and their knowledge. Distance and gentleman’s agreement with traders limited farmers to choose the desirable marketing channel. Marketing channels affect business performance in terms of high sales and profit.

This study only pays attention to the supply side of vegetables. The effect of marketing channels also encumbers the consumers, which are beyond this study. Other studies are expected to highlight the consumer side.

This study focused on smallholder agribusiness players. This study uses two surveys as data sources: market survey and producer survey. The market survey serves as vital information to design producer surveys.

The purpose of this paper is to investigate factors that influence farmers' adoption of Vietnamese Good Agricultural Practices (VietGAP) in Vietnam.

A case study design was employed. A purposive and snowball sampling strategy was used to select 54 participants for semi-structured interviews. Qualitative data analysis techniques were applied to analyse the data.

This study found that the social, cultural and institutional dimensions that define the dominant traditional agri-food system determined farmers' adoption of VietGAP and this was expressed in: (1) there was a lack of concern about food safety amongst value chain (VC) actors, particularly consumers and this limited demand for VietGAP-certified vegetables; (2) subjective rather than objective measures were used to assess vegetable quality by actors throughout the domestic vegetable VC and (3) the coordination of this vegetable VC was dominated by informal, trust-based relationships between VC actors rather than through formal written contracts.

This study employed a case study approach and focussed on a local VC for fresh vegetables. The findings of this research may therefore differ to those concerning other produce.

This study highlights that farmers' uptake of VietGAP requires changes to the socio-technical regime of the traditional agri-food system.

This research provides a systemic view of the determinants of GAP adoption by farmers and highlights areas that need to be considered when designing policies to enhance the uptake of public GAP programmes and introduce agri-food systems in developing countries.

The purpose of this paper is to examine the efficiency of vegetable farmers within the tree-crop based rainforest agro-ecological zone in Southwest region of Cameroon.

The non-parametric data envelopment analysis method was used to evaluate technical and scale efficiencies while the Tobit model was used to identify factors affecting efficiency of vegetable production.

An econometric analysis result indicates that family size, education and extension service have significant impact on both technical and scale efficiencies, whereas credit service has significant impact on scale efficiency.

Future agricultural policies could include measures to improve the capacity of farmers to efficiently use existing resources.

The study highlighted that encouraging more people to engage in farm labor and facilitating smallholder access to microcredit could render vegetable farmers more efficient.

In Cameroon, only a few studies have been conducted on technical efficiency. These encompass mainly cash and food crops. To the best of our knowledge, no single study has measured technical efficiency of vegetable farmers in forest-based farming of Cameroon.