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This study examines the drivers of marketing channel participation amongst smallholder rice farmers in the northern region of Ghana.

Using a sample of 397 smallholder rice farmers drawn from a multistage sampling procedure, the study employed multivariate probit (MVP) model in the empirical estimations. In this context, the model assumes that a rice farmer should at least participate in one market channel.

The study reveals that the wholesaler market channel is the most commonly used channel among farmers, followed by the aggregator channel. However, the processor market channel is the least patronized one in the study area. The results also show statistically significant correlation coefficients in four out of the six possible combinations, implying that market channel participation among smallholder farmers is not mutually exclusive. Rice market channel participation is positively and significantly influenced by age, gender, household headship, access to credit, extension service, irrigation, improved seed and access to price information.

This study is limited in extending the analysis to include the impact of market channels on some outcome measures. This is due to data limitation.

The findings of this study add to the growing literature on smallholder market channel participation in Ghana.

The 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.

The 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.

The 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.

The 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.

Rarely 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.

The relationship between functional participation and several measures of channel member financial performance are evaluated. Channel theory suggests that greater participation in channel functions should be positively associated with channel member compensation. Support for the theory was found for gross margins and total operating expenses. However, return on assets were not found to be positively related to channel function participation.

The study uses survey data obtained in Jiangsu province, China, in June and August of 2012 to analyse the causal relations between aquatic farmers' relationship networks and trust, specific asset investments, joining in cooperatives and modern marketing channels participation.

The authors used the structural equation mode to analyze the variables' causal relationships.

The research results show that Chinese aquatic farmers' relationship networks can positively impact their participation in modern channels through the mediators of trust, specific assets investments and joining in cooperatives.

Two constructs are measured by a single item. Further study to incorporate multi-item constructs would be valuable.

The policy implication is that the government should pay attention to farmers' relationship networks and can provide them with more public goods, especially channel and price information, to assist their evaluations and decision-making, which can help them to access modern marketing channels.

The authors gave the answers that whether farmers' relationship networks affect their marketing channel selection decision and the function mechanism.

The librarian and researcher have to be able to uncover specific articles in their areas of interest. This Bibliography is designed to help. Volume IV, like Volume III, contains features to help the reader to retrieve relevant literature from MCB University Press' considerable output. Each entry within has been indexed according to author(s) and the Fifth Edition of the SCIMP/SCAMP Thesaurus. The latter thus provides a full subject index to facilitate rapid retrieval. Each article or book is assigned its own unique number and this is used in both the subject and author index. This Volume indexes 29 journals indicating the depth, coverage and expansion of MCB's portfolio.

This paper examined the factors influencing the participation of rice processors in short supply chains and the participation impact on the amount of rice processed, per capita expenditure of household and value of sales.

The Seemingly Unrelated Regression and Doubly Robust Augmented Inverse Probability Weighting Model (AIPW) were used to analyse the determinants of short supply chain participation and the impact of short supply.

From the results, the mean value of rice processed was GH₵18385 (US$ 3,069.28), with the minimum value being GH₵ 25 (US$ 4.17) and the maximum GH₵ 67200 (US$ 1,1218.70) per annum. Processed rice aroma and grade characteristics positively influence the value of processed rice sold via short supply chains as well as the expertise rate of the processor, Farmer-Based Organisation membership, and marketing information availability. Women rice processors' per capita expenditure, total sales value and the value of processed rice was positively influenced by the short supply chain participation.

Even though the sample size was appropriate, a larger sample size could further support the study's finding since a limited geographical area with predominant domestic rice processors was studied. Again, future studies should consider behavioural theories, such as the Theory of Planned Behaviour, amongst others, in understanding the reasons for the choices of short supply chains compared to other sales outlets.

Although there is a growing body of literature on rice, most of the studies focussed on the marketing outlet of rice producers, rice processing, constraints and opportunities faced by rice farmers and processors and an out-grower scheme involving rice processors amongst rice producers with none of these on the choice of short supply chains amongst women processors. Also, amongst all the studies on rice producers, none applied a theory; however, the Women in Development (WID) Theory was used to analyse the impact of the short supply chain on the impact on household per capita expenditure (poverty), the value of sales and amount of rice processed, a modest theoretical contribution of the paper to literature.

The purpose of this paper is to identify important elements of a strategy to facilitate small farmer participation in international supply chains for fresh produce.

The study employs survey data collected from a national sample of US fresh produce importers. Their concerns and suggestions regarding potential for transactions with small Mexican farmers were assessed, with factor analysis providing a thematic summary of their perspectives.

Results of the study reveal that US importers are not uniformly pessimistic about the ability of small farmers to meet their demands. On the contrary, almost one‐third said they probably would work with small farmers in the near future. In general, importers are interested in transactions in which the product meets consumer and government expectations and is grown on the buyer's terms, the grower is reliable over time, the transaction is simplified, and the grower handles transportation. Importers rate small farmers poorly on their ability to achieve the last two factors, but these are also the items rated least important to the importers. New approaches to building market capacity in small farmers are also highly valued by the importers, including government investment guarantees, and arrangements for facilitating contact between importers and growers. More traditional methods, such as cooperatives and use of brokers, were not rated as highly.

The study relies on cross‐sectional, self‐report data from one side of the grower/importer dyad. Incorporating longitudinal data with a dyadic perspective could provide additional insight.

A practitioner perspective on the challenges in international fruit and vegetable supply chains, particularly as relates to developing countries, is of considerable value. Not only can governments choose improved policies for improving market readiness for the growers, but also members of supply chains themselves can identify tactics for ensuring successful transactions by enhancing coordination. The prospects for a win‐win outcome for growers and importers are improved.

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.

Western marketers typically find the Japanese distribution system perplexing and difficult to penetrate. In fact, US trade negotiators have accused the Japanese government of deliberately limiting the access to distribution by foreign manufacturers. The situation may have reached a boiling point when the Clinton Administration retaliated by unilaterally imposing a 100 per cent tariff on Japanese luxury cars. However, a socio‐cultural rather than a purely economic perspective is needed to understand the system if US marketers are to make successful inroads in Japan’s markets. Develops a globally generalizable framework rooted in social exchange theory that explains the structure by which distribution activities can be compared across national boundaries. Uses the framework to compare how the Japanese and US distribution systems work. Discusses implications that challenge current policies in both the public and private sectors.