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This study analyzes the impact of COVID-19 on agricultural production in South India by evaluating the influence of market channels and socioeconomic conditions on the production decisions of farmers during two key cropping seasons. We base our analysis on primary data from 200 marginal, small and medium farmers, primarily focusing on the key seasonal crops, namely paddy and black gram.

We studied the downstream supply chains of paddy and black gram crops in the district of Villupuram, situated in the South Indian state of Tamil Nadu. Using a Bi-Probit model, we analyzed the production decisions of marginal, small and medium farmers engaged in paddy and black gram cultivation. Various factors are considered, including farmers’ socioeconomic characteristics, gender, market channels accessed and the coping strategies employed.

After the easing of lockdown measures in June 2020, our research revealed substantial disruptions in agricultural production during the critical Kharif and Rabi seasons. Most farmers refrained from returning to their fields during the Kharif season; those who did produced millet as the main crop. Factors such as choice of market channels in previous seasons, economic status, access to all-weather roads, labor availability, gender and coping strategies played an important role in the return to production in the subsequent Kharif and Rabi seasons.

Our data revealed several interesting threads related to price volatility, irrigation and access to markets and their impact on food security. The role of intermediaries and market channels in providing liquidity emerges as an important aspect of farmers' choice of markets. The pandemic impacted all these factors, but a detailed analysis was beyond the scope of this study.

We also find that resilience to economic shocks varies not only by economic status but also by gender and social groups. Farmers with female members are more likely to be resilient, and marginal and small farmers primarily belong to social groups that are economically less developed.

This study contributes to the literature on factors influencing farmer choice and decision-making and provides nuances to discussions by analyzing crop-specific supply chains, highlighting the critical role of socioeconomic factors. It also highlights the role of demographics and infrastructural factors like access to all-weather roads and access to markets that influence farmers’ production decisions.

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.

Rice is an important grain in Indian scenarios, and the purpose of the research work is to identify the attributes which can be the possible barriers in the traditional rice supply chain network.

A multilevel conceptual model is developed based on the literature review, and a field study is conducted by administering a questionnaire from the experts. Fuzzy logic methodology and a ranking score method is applied to identify the rice supply chain performance and the barriers of the traditional rice supply chain network.

The rice supply chain performance index for the traditional rice supply chain network is obtained, and the performance of the existing rice supply chain is found to be “fair”. The “information flow” is the attribute that can be a critical weak attribute in the traditional rice supply chain network. A proposed model of the blockchain technology-enabled rice supply chain network is developed as a solution for the “information flow” barrier.

The present research work is focussed on the generalized rice supply chain model of the Indian scenario, and more detailed studies can be carried out based on the regional issues.

The rice supply chain plays an important role in Indian economic development, and hence the current research paper focusses on identifying the barriers and the performance of the existing rice supply chain network.

This research aims to monitor vegetation indices to assess drought in paddy rice fields in Mazandaran, Iran, and propose the best index to predict rice yield.

A three-step methodology is applied. First, the paddy rice fields are mapped by using three satellite-based datasets, namely SRTM DEM, Landsat8 TOA and MYD11A2. Second, the maps of indices are extracted using MODIS. And finally, the trend of indices over rice-growing seasons is extracted and compared with the rice yield data.

Rice paddies maps and vegetation indices maps are provided. Vegetation Health Index (VHI) combining average Temperature Condition Index (TCI) and minimum Vegetation Condition Index (VCI), and also VHI combining TCI_min and VCI_min are found to be the most proper indices to predict rice yield.

The results serve as a guideline for policy-makers and practitioners in the agro-food industry to (1) support sustainable agriculture and food safety in terms of rice production; (2) help balance the supply and demand sides of the rice market and move towards SDG2; (3) use yield prediction in the rice supply chain management, pricing and trade flows management; and (4) assess drought risk in index-based insurances.

This study, as one of the first research assessing and mapping vegetation indices for rice paddies in northern Iran, particularly contributes to (1) extracting the map of paddy rice fields in Mazandaran Province by using satellite-based data on cloud-computing technology in the Google Earth Engine platform; (2) providing the map of VCI and TCI for the period 2010–2019 based on MODIS data and (3) specifying the best index to describe rice yield through proposing different calculation methods for VHI.

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.

Subject area information and communication technology (ICT) for development.

Master of Business Administration Program’s Management Information Systems courses. Or introductory courses in Masters in ICT for Development.

The paper aims to highlight the endeavour of public distribution system (PDS), a food security scheme for under-privileged people in India, towards excellence, using ICT in the state of Chhattisgarh. It presents two important roles of ICT: one, as a system improvement tool, through supply chain integration (in Phase 1) and, the other, as tool for empowerment, by providing choices through computerized online real-time electronic (CORE) PDS (in Phase 2). CORE PDS was intended to provide choices of retail outlets to poor beneficiaries for collecting their food entitlement, breaking the retail outlet’s monopoly. The project was successfully implemented in some urban areas of Chhattisgarh, providing motivation for its mass scale roll-out. But, the contextual differences between rural and urban settings were raising questions on the ultimate value expected to be delivered by the project in rural areas.

Two major learning outcomes of the case: students will appreciate the multi-faceted role of ICT in improving the performance of a system meant for a financially poor section of the society; students will understand the role of contextual settings in a developing economy in the endeavour of ICT projects for societal development.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 10: Public Sector Management.

Paddy farmers form the backbone of food security. However, poverty plagues them despite having linked them to the rice value chain. To overcome this, the concept of involving smallholders in post-farm value chain stages is promoted. The purpose of this paper is to explore the potential of upgrading smallholder involvement in rice value chains through the adoption of a sustainability standard.

The authors built a system dynamic model to capture both conventional and certified sub-value chains. The latter deviates from the conventional one and capitalizes on compliance to a sustainability standard.

When compared to conventional farm gate sales methods, the simulations revealed obvious profitability of direct marketing with respect to certified sustainable rice. Although coupled with productivity growth, the simulations indicated the shift to standard adoption would likely to be both limited and slow.

The findings suggest that the profitability of a certified rice value chain will remain fettered. In order to enhance both farmer livelihood and food security, given the limited prospect of moving smallholders up that chain, the authors conclude that national policy should be rationalized and concentrated on the possibility of diversifying the end-use of rice through research, development and subsequent commercialization.

The purpose of this paper is to examine the long-run profitability of rice milling operation in Malaysia and see how sensitive it is to changes in paddy purchases, rice recovery ratio and paddy price.

Using a purposive sampling technique and semi-structured interviews, seven rice mills in Malaysia were selected to obtain data on operational details and business accounts. The paper provides a qualitative and descriptive account of the rice mill’s profitability by using cost curves, a simple linear regression and the Monte Carlo simulation.

The rice milling operation in Malaysia is profitable in the long run, provided that there is a market for by-products. Large private mills have lower average costs, helping them obtain higher profit margins. Public mills that receive a rice miller subsidy are more protected than small private mills that operate without the rice miller subsidy and under price controls. Changes in paddy purchases, paddy price and recovery ratio affect the profitability to varying degrees.

Incomplete information provided by the interviewees. The analysis result is only a rough estimate. However, it may provide a useful insight into the Malaysian rice milling sector and its competitiveness.

There are few economic studies of the rice milling sector in Malaysia. However, it plays an important role along the rice supply chain. There is a need for better understanding of the industry in order to obtain economic sustainability and effective policies. This paper provides the gap by providing an insight into the long-run profitability of rice milling operation in Malaysia.

The purpose of this paper is to assess the impact of smallholder supply chains on sustainable sourcing to answer the question how food and agribusiness multinationals can best include smallholders in their sourcing strategies and take social responsibility for large-scale sustainable and more equitable supply. A sustainable smallholder sourcing model with a list of critical success factors (CSFs) has been applied on two best-practise cases. In this model, business and corporate social responsibility perspectives are integrated.

The primary data of the value chain analyses of the two smallholder supply chains of a food and agribusiness multinational have been applied. Both cases were of a join research program commissioned by the multinational and a non-governmental organization using the same methods and research tools. Similarities, differences and interference between the cases have been determined and assessed in order to confirm, fine tune or adjust the CSFs.

Both cases could be conceptualized through the smallholder sourcing model. Most CSFs could be found in both cases, but differences were also found, which led to fine tuning of some CSFs: building of a partnership and effective producers organization, providing farm financing and the use of cross-functional teams in smallholder supplier development programs. It was also concluded that the smallholder sourcing model is applicable in different geographical areas.

The findings of this study are based on just two cases. More best-practise cases are recommended in order to confirm or to adjust the developed sourcing model and the CSFs.

This paper/research fills the need in sustainable supply chain management literature to study supply chains that comply with the triple bottom line concept, rather than supply chains that are just more “green.”

Improving milling quality is expected to improve the quality of domestic rice and hence the competitiveness of Uganda's rice industry. Therefore, this study aims to assess the determinants of four aspects of milling, namely, choice of milling technology, millers' perceptions of the importance of paddy quality attributes, milling return and milling capacity.

Multinomial logit, semi-nonparametric extended ordered probit, linear regression and additive nonparametric models are applied to cross-sectional data obtained from a sample of 196 rice millers.

Physical, economic, institutional, technological and sociodemographic factors are found to be important determinants of the four aspects of milling. Physical factors include the distance of the mill from major town and availability of storage space at the milling premises, while economic factors include milling charge and backward integration of miller into paddy production. Contracting and use of a single-pass mill are important institutional and technological factors, respectively, and miller's household size, age, gender and education are the key sociodemographic variables.

The study's originality lies in its scope, especially in terms of its breadth. Without compromising the needed analytical rigor, it focuses on four aspects of milling that are critical to improving the marketing of Uganda's rice. In doing so, it provides a holistic understanding of this segment of the value chain and offers specific recommendations for improving the marketing of Uganda's rice.