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The purpose of this paper is to examine the volatility spillover and lead-lag relationship between the Chicago Board Options Exchange volatility index (VIX) and the major agricultural future markets before and during the Coronavirus disease 2019 (COVID-19) outbreak.

The methods used were the vector autoregression-Baba, Engle, Kraft and Kroner-generalized autoregressive conditional heteroskedasticity method, the Wald test and wavelet transform method.

The findings indicate that prior to the COVID-19 outbreak, there was a two-way volatility spillover impact between the majority of the sample markets. In comparison, volatility transmission between the VIX index and the agricultural future market was significantly lower following the COVID-19 outbreak, the authors observed greater coherence at higher frequencies than at lower frequencies, implying that the interdependence between the two VIX indices and the agricultural future market was stronger over a longer time-frequency domain and the VIX’s signalling effect on various agricultural future prices after the COVID-19 outbreak was significantly lower.

The authors conducted the first comprehensive investigation of the VIX’s correlation with major agricultural futures, especially during COVID-19. The findings contribute to a better understanding of the risk transmission mechanism between the VIX and major agricultural commodities futures contracts. And our findings have significant implications for investors and portfolio managers, as well as for policymakers who are concerned about the price of agricultural futures.

This paper aims to conceptually analyse the role of speculation in society to determine whether agricultural commodity index funds, a new form of speculation, contribute to sustainable development.

The theoretical arguments justifying the value of the market economic system for generating sustainable development and the positive contribution speculators make too in this context are elaborated. It is then considered whether the arguments justifying traditional speculation hold for agricultural commodity index funds.

Traditional forms of speculation contribute positively to sustainable development; primarily due to the information they uncover on demand and supply factors which affect prices. Agricultural index funds are a danger to sustainable development, as their transactions are not based on demand and supply factors but simply represent demand for the diversification effect which commodities generate when added to an investment portfolio.

The article offers a new approach to assessing whether agricultural index funds contribute to sustainable development. Empirical research has been conducted on whether speculation via index funds has unjustifiably affected commodity prices. However, results of these investigations have been inconclusive due to stark limitations in data availability. By approaching the issue from a conceptual point of view, the article delivers theoretically sound arguments as to why agricultural commodity index funds are likely to have an unjustifiable effect on prices and, hence, are a danger to sustainable development. This has strong implications for finance practice and regulation.

The purpose of this paper is to develop a modelling approach that enables the analysis of long-term food security policies. Specifically, the authors explore the effect of China’s agricultural domestic support on its agricultural and food market by also considering the impact of incomplete price transmission.

The authors extend the standard Global Trade Analysis Project (GTAP) modelling framework. First, the authors incorporate incomplete price transmission into the GTAP model by generating tariff-equivalent price transmission elasticities. Second, the authors improve the current representation of China’s agricultural domestic support in the GTAP model and the underlying database by considering the production requirements and the trade-distorting effect of different policy instruments. Running a set of simulations, the authors examine first how the incorporation of incomplete price transmission affects the model’s results and second how increased agricultural domestic support affects China’s agricultural and food market accounting for incomplete price transmission.

Considering incomplete price transmission mitigates the domestic price increases as responses to high international agricultural prices, which also lead to an increase in China’s trade deficit and prohibits net food sellers from receiving high prices. In the long term, an increase in China’s agricultural domestic support to its World Trade Organisation de minimis commitment level would increase domestic agricultural production and reduce its demand pressure on the international market.

This paper contributes to the literature by examining the impact of increased agricultural domestic support on the domestic market while innovatively accounting for incomplete food price transmission. The authors combine econometric estimated price transmission elasticities and an extended GTAP framework to underscore the importance of enhancing the model’s ability in accounting for incomplete price transmission when analysing the impact of agricultural policies.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

Factors influencing the use of mobile phone technologies for agricultural market information access remain a mixed debate, and there are contradictive views among studies. This study examined factors influencing the use of mobile phone technologies for agricultural marketing information access. The study is anchored on the technological acceptance model (TAM).

A descriptive cross-sectional research design was adopted with a sample size of 400 grape smallholder farmers. A structured questionnaire and focus group discussions (FGDs) were used to gather data. Descriptive, ordinal logistic regression and thematic approaches were used in data analysis.

The study confirmed grape smallholder farmers generally considered mobile phone technologies as an appropriate communication channel to stay informed about agricultural marketing information. It was found that reliable electricity supply, relevance, timeliness, perceived ease of use (PEOU) and perceived usefulness (PU) of mobile phone technologies influenced the level of agricultural marketing information access.

This research is limited to a selected number of grape smallholder farmers in Dodoma, Tanzania, and leaves out those without mobile phones. Also, the study was cross-sectional in nature, so it may not be necessarily capable of consistently providing critical and consistent information about the same population over a series of times.

This study contributes to the body of knowledge by integrating the use of mobile phone technologies to access marketing information in informing policy and decision-making processes to promote grape marketing.

In a volatile agricultural postharvest market, producers require more personalized information about market dynamics for informed decisions on the marketed surplus. However, this adaptive strategy fails to benefit them if the selection of a computational price predictive model to disseminate information on the market outlook is not efficient, and the associated risk of perishability, and storage cost factor are not assumed against the seemingly favourable market behaviour. Consequently, the decision of whether to store or sell at the time of crop harvest is a perennial dilemma to solve. With the intent of addressing this challenge for agricultural producers, the study is focused on designing an agricultural decision support system (ADSS) to suggest a favourable marketing strategy to crop producers.

The present study is guided by an eclectic theoretical perspective from supply chain literature that included agency theory, transaction cost theory, organizational information processing theory and opportunity cost theory in revenue risk management. The paper models a structured iterative algorithmic framework that leverages the forecasting capacity of different time series and machine learning models, considering the effect of influencing factors on agricultural price movement for better forecasting predictability against market variability or dynamics. It also attempts to formulate an integrated risk management framework for effective sales planning decisions that factors in the associated costs of storage, rental and physical loss until the surplus is held for expected returns.

Empirical demonstration of the model was simulated on the dynamic markets of tomatoes, onions and potatoes in a north Indian region. The study results endorse that farmer-centric post-harvest information intelligence assists crop producers in the strategic sales planning of their produce, and also vigorously promotes that the effectiveness of decision making is contingent upon the selection of the best predictive model for every future market event.

As a policy implication, the proposed ADSS addresses the pressing need for a robust marketing support system for the socio-economic welfare of farming communities grappling with distress sales, and low remunerative returns.

Based on the extant literature studied, there is no such study that pays personalized attention to agricultural producers, enabling them to make a profitable sales decision against the volatile post-harvest market scenario. The present research is an attempt to fill that gap with the scope of addressing crop producer's ubiquitous dilemma of whether to sell or store at the time of harvesting. Besides, an eclectic and iterative style of predictive modelling has also a limited implication in the agricultural supply chain based on the literature; however, it is found to be a more efficient practice to function in a dynamic market outlook.

Marketing boards are an integral part of the farm economy in Canada. Their purposes have been debated for decades but seldom from a marketing perspective. Such an approach makes for an interesting way to study them. The purpose of this paper is to assess the pros and cons of marketing boards, suggesting how they can be made more responsive to market forces.

The paper positions the need for Canada to bring agricultural market reforms. The wave toward freer access to world markets makes the study of supply management that more interesting and relevant in the twenty‐first century. A brief history of marketing boards is presented, followed by a discussion of their economic, social and constitutional impacts on Canadian society. Dairy supply management issues are discussed because they serve as the basis for comparative analysis, given that dairy trade liberation has been the most successful. The impact of marketing boards on consumers is well documented.

The research points out that marketing boards lack managerial savvy to make them more efficient and responsive to market changes. Logistical and supply chain management approaches seem to be lacking. A failure to respond to markets has resulted in lost market opportunities, both domestically and abroad. The quota values, the legal and constitutional powers of Canadian marketing boards and the interprovincial trade barriers, among other issues, have stifled entrepreneurship and innovation, all with rising prices to consumers. Trade liberation will not be easy to implement even if it is urgently needed.

Some of the suggested market reforms presented in the paper are bound to have repercussions not only on farmers and their current ways of doing business but on Canadian society as well.

Few studies on marketing boards have been done from a marketing perspective rather than an agricultural economic one. It is the most current review of Canadian marketing boards. Marketing studies are needed to know more about how such boards are managed and function. They need to be more accountable. The recommended managerial studies on boards make the paper unique. While trade liberation is highly recommended for milk and dairy boards to meet world pressure, the paper does not call for their elimination.

This paper aims to assess the choice of supermarkets for purchasing fresh agricultural products among urban consumers in Ghana.

Likert scale was used to investigate reasons for purchasing agricultural products from supermarkets, while heteroskedastic probit was used to estimate the determinants. Beta regression was used to examine the determinants of the proportion of food expenditure on raw/unprocessed agricultural products.

The principal reasons for purchasing agricultural products from supermarkets are convenience, a guarantee of assorted products, high-quality products and food safety, constant supply of products, conducive shopping environment, excellent customer service and social influence. The probability of purchasing agricultural products from supermarkets is high for consumers who are either males, young, educated, high-income earners or salaried workers. Consumers residing closer to supermarkets have a greater probability of shopping for agricultural products from same. The proportion of food expenditure on unprocessed agricultural products increases with age but decreases with education and distance to local markets.

Few prior studies have investigated supermarket’s surge in developing countries and its connection with consumer food-outlet choice. Unfortunately, little is evident in the extant literature on consumers' choice of supermarkets as purchasing outlets for fresh agricultural products. Hence, this study closes the gap on consumers and fresh agricultural product purchases from supermarkets in Ghana. Results from the study will provide grounding evidence to supermarket owners to adjust their services to meet consumers’ needs and provide relevant information to evolving supermarkets or investors who may venture into the supermarket business on the attributes that influence consumers to use supermarkets as a purchasing outlet.

The purpose of this paper is twofold: first, to take stock of the current state of knowledge about inclusive value-chain development (VCD) in the context of international agricultural research; and second, to draw out the implications for future research and action.

This paper is based on a review of recent research papers authored by professionals affiliated with international agricultural research centers and their partners in Africa, Asia, and Latin America.

The studies reviewed in the paper identify the opportunities emerging from new and expanding markets for agricultural products and challenges to smallholder participation in these markets. It identifies key attributes of successful value-chain interventions, emphasizing the importance of combining value-chain approaches with other approaches, including those emerging from innovation systems and rural livelihoods frameworks. Methods are offered for evaluating complex value-chain interventions.

The paper summarizes the state of knowledge as of early 2016 in a dynamic field. Important contributions to knowledge may have been made since then.

The paper summarizes the state of knowledge in the field, and identifies emerging issues and policy implications, knowledge gaps, and priorities for future applied research.

This research investigates the bond between stock market development and agricultural growth in African emerging economies from 1990 to 2020.

Agricultural value added to the gross domestic product measures agricultural growth and market capitalization and stock value traded measure stock market development.

The findings disclose that market capitalization negatively affects agricultural growth while stock value traded positively affects agricultural growth in the fully modified and dynamic ordinary least square techniques. The findings unveil bidirectional causality between labour and agricultural value added with unidirectional causality flow from agricultural value added to market capitalization and stock value traded.

The governments should promote agricultural growth initiatives which stimulate stock market development. Effective methods required to encourage credit flow to the agricultural enterprises through the stock markets' intermediation should be promoted using aggressive policies which eliminate credit flow bottlenecks. Policy makers and regulatory authorities should implement policies which attract investors to the agricultural sector and encourage companies' listing in the stock markets. The capital market funding should be expanded to boost economic growth through agricultural value added.

Literature reveals divergent results on the relationship between stock market development and agricultural growth. Earlier studies provide conflicting findings on the bond between stock market development and agricultural growth. Some findings indicate positive link between stock market development and agricultural growth, while others show a negative association. Studies' results reveal opposing directions of causality between stock market development and agricultural growth.