Search results

The purpose of this study is to investigate the determinants of agricultural insurance adoption by farmers of the state of São Paulo, Brazil.

Primary data from the 2015/2016 crop season was collected from a sample of 175 farmers. Logit econometric models were applied to identify the variables that affect the probability of agricultural insurance adoption.

The empirical results show that the education level, access to technical assistance, use of management tools and farm size positively affect the probability of adopting agricultural insurance. In addition, farmers who produce soybean and/or corn are more likely to use insurance. On the other hand, the higher the farmers’ propensity to take risk the lower the likelihood of using insurance.

The empirical analysis is based on cross-sectional data of a sample of 175 farmers of the state of São Paulo. The use of panel data with a larger sample of farmers, considering a period of years, could provide additional information.

To the best of the knowledge, this is the first empirical analysis about determinants of agricultural insurance adoption by Brazilian farmers, considering behavioral factors. The findings provide useful insights for policymakers in formulating risk management programs in the Brazilian agricultural markets. A better understanding about the determinants of insurance adoption is also relevant for private companies that sell insurance to farmers. Therefore, the paper may contribute with the diffusion of rural insurance as risk management tool in Brazilian agriculture.

Consumers often face a dilemma regarding the purchase decisions of traditional handloom apparel because of the non-availability of information cues that would enable them to assess the quality of the product. The spread of counterfeit products in the market adds to information asymmetry. The study aims to examine factors influencing purchase intention of traditional handloom apparel that have Geographical Indication (GI) certification, which follows the certification procedure specified by the World Intellectual Property Organisation (WIPO).

A survey was conducted among 202 traditional handloom apparel consumers in India and the data was analysed using structural equation modelling. The purchase intention of GI certified handloom apparels was examined as the dependent variable, whereas quality consciousness, product diagnosticity, perceived information asymmetry were placed as independent variables. The mediating role of perceived quality and product trust in the relation between perceived information asymmetry and purchase intention was also looked into.

Results reveal that quality consciousness positively influences product diagnosticity (facilitated by the GI label certification) which in turn reduces perceived information asymmetry. Further, a reduction in perceived information asymmetry was found to increase the purchase intention of traditional handloom apparel, fully mediated by the perceived quality and product trust.

The customers who are facing a dearth of information while making purchase of traditional handlooms will be benefitted from the GI certification label which provides authenticity regarding product attributes confirming quality. Further, the study adds to the theory by establishing the relation between quality consciousness and perceived information asymmetry.

The findings imply that GI handloom apparel sellers should design marketing strategies that would project GI certification labels for traditional handloom apparel to effectively communicate product quality attributes, thus enhance product diagnosticity reducing information asymmetry. While organic certification for agricultural products is done at the individual producer’s level, GI certification is done under the producer’s collective label. Further, studies may be extended to agricultural products (Darjeeling tea, Alphonso mangoes, etc.), food items (rasgulla, Thirupathi laddoo, etc.) and handicrafts (Aranmula Mirror, Payyannur pavithra ring) that have acquired GI label in India. GI certification is adopted worldwide and studies may be extended to such products also [example Parma ham (Italy), Hessian wine (Germany)].

Empirical research on determinants of consumer purchase intentions of GI certified traditional handloom apparel is a novel attempt done in the context of a developing country such as India. The study brings out the importance of the GI certification label envisaged by the WIPO, which can serve as a tool for reducing uncertainties faced by consumer in framing purchasing intentions. This can be extended to any product type such as agricultural, food products and handicrafts that has acquired GI certifications in different countries. The study revealed that product diagnosticity (through GI certification) could reduce perceived information asymmetry that leads the consumer to the perception of quality and product trust which results in the purchase intention of traditional handloom apparel. The outcomes of the study can be instrumental in designing marketing strategies for capturing market share.

This study identifies benefits and challenges of PL partnerships, and recommendations to improve the PL partnership process.

Qualitative data was collected via semi-structured interviews (n = 8) with Irish PL retail buyers (n = 4) and producers (n = 4). Data was coded and thematically analysed.

Three key themes were identified. Theme 1 provides an overview of the benefits of PL partnerships for producers (e.g. volume driven orders, increased efficiencies) and for retailers (e.g. unique products, meeting consumer demand). Theme 2 presents challenges of PL partnerships specific to small and large producers (e.g. small producers may need significant investment to upgrade facilities, while larger producers may require significant volume to justify adaptation of production lines). Challenges common to both (e.g. risks related to short-term contracts, concerns about brand identity) are also discussed. Theme 3 summarised recommendations for successful PL partnerships generally (e.g. setting clear expectations and goals, building rapport and trust), and recommendations specific to producers and buyers specifically (e.g. producers should diversify customers to reduce risk, and retailers should communicate needs and direction).

There is currently limited research on PL partnerships between producers and retailers. This study addresses this gap by identifying key aspects for producers to consider when entering PL partnerships and key aspects for retailers to be aware of to help improve the attractiveness and success of these partnerships.

The authors aim to study a conceptual model based on behavioural theories (UTAUT-3 model) to evaluate the adoption, usage and recommendation for neobanking services in India.

The authors propose this model based on the UTAUT-3 integrated with perceived risk constructs. Hypotheses were developed to determine the relationships and empirically validated using the PLSs-SEM method. Using the survey method, 680 Delhi NCR respondents participated in the survey.

Empirical results suggested that behavioural intention (BI) to usage, adoption and recommendation affects neobanking adoption positively. The research observed that performance expectancy (PE), effort expectancy (EE), perceived privacy risk (PYR) and perceived performance risk (PPR) are the essential constructs influencing the adoption of neobanking services.

Limited by geographic and Covid-19 constraints, a cross-sectional study was conducted. It highlights the BI of neobanking users tested using the UTAUT-3 model during the Covid-19 period.

The study's outcome offers valuable insights into Indian Neobanking services that researchers have not studied earlier. These insights will help bank managers, risk professionals, IT Developers, regulators, financial intermediaries and Fintech companies planning to invest or develop similar neobanking services. Additionally, this research provides significant insight into how perceived risk determinants may impact adoption independently for the neobanking service.

Premium subsidy rates were increased in 2019 and 2020 for livestock risk protection (LRP) insurance, which is price insurance for cattle producers. The authors examined if the LRP subsidy rate changes affected the LRP coverage levels purchased by feeder and fed cattle producers.

The authors collected the United States Department of Agriculture Risk Management Agency summary of business sales data for daily LRP purchases from 2015 to 2023. The authors estimated a multinomial logit model to determine if subsidy rate changes were associated with the likelihood of LRP policies being purchased at different coverage levels.

After the 2019 and 2020 subsidy rate changes, the likelihood of producers buying LRP-feeder cattle policies with coverage over 95% increased relative to the policies with coverage less than 89.99% but did not influence the likelihood of producers buying LRP-feeder cattle policies with coverage between 90 and 94.99% relative to policies with coverage less than 89.99%. Marginal effects show these subsidy rate changes increased the likelihood of buyers purchasing LRP-feeder cattle policies with greater than 95% coverage. The subsidy change did not affect the purchase of LRP-fed cattle policies.

The results demonstrate the influence of the recent LRP policy adjustments on insurance purchases, which could be important for agency officials and policy makers. This is the first study to explore the LRP policy purchases which provides the United States cattle industry insight into the LRP price insurance take-up, which can guide producer extension education on managing price risk.

I study the economic implications of the world oil market dominated by OPEC and non-OPEC major oil producing countries using a general equilibrium model of trilateral trade with oil duopoly. There are three countries and three goods, x, y, and oil (z). Home (H) is endowed with good x . Foreign (F) is endowed with good y and also produces oil (z). Middle (M) is an oil producing country and supplies oil only. I consider two types of oil market structure; (1) Cournot duopoly and (2) perfect competition. I find that Foreign is actually worse off under Cournot duopoly despite being a duopolist for wide range of parameter values that reflect real world situations. This is mainly due to reduced consumption of oil and reduced value of good y endowment under duopoly when Foreign is a net oil exporter or oil autarky, and is also due to worsening terms-of-trade effect under duopoly when Foreign is a net oil importer. Welfare reversal with higher welfare of Foreign under oil duopoly occurs only under highly unrealistic parameter values, and hence the main results of the study remain robust.

Current online business development redistributes last-mile logistics (LML) from consumer to retailer and producer. This paper identifies how empirical LML research has used and defined logistic performance measures for key grocery industry actors. Using a multi-actor perspective on logistic performance, the authors discuss coordination issues important for optimising LML at system level.

A semi-systematic literature review of 85 publications was conducted to analyse performance measurements used for effectiveness and efficiency, and for which actors.

Few empirical LML studies exist examining coordination between key actors or on system level. Most studies focus on logistic performance measurements for retailers and/or consumers, not producers. Key goals and resource utilisations lack research, including all key actors and system-level coordination.

Current LML performance research implies a risk for sub-optimisation. Through expanding on efficiency and effectiveness interplay at system level and introducing new research perspectives, the review highlights the need to revaluate single-actor, single-measurement studies.

No established scientific guidelines exist for solving LML optimisation in the grocery industry. For managers, it is important to thoroughly consider efficiency and effectiveness in LML execution, coordination and collaboration among key actors, avoiding sub-optimisations for business and sustainability.

The study contributes to current knowledge by reviewing empirical research on LML performance in the grocery sector, showing how previous research disregards the importance of multiple actors and coordination of actors, efficiency and effectiveness.

This study revisits the Great Canadian Grain Logistics Crisis of 2013-14 to explore the competitiveness of the country's grain exports. An approach to comprehending the dilemmas of the international grain supply chain and trade, and national logistics policy in an era of multinational corporations, draws upon the literature on global value chain analysis. This analysis identifies both the grain industry's global and local dimensions. An important literature on the 'politics’ of the supply chain is also called into play to discuss who controls what aspects. This task of interpreting the various steps in Canada's grain logistics chain recognizes the key economic actors - producers, grain companies, railway companies, port terminal operators and export buyers - and political struggles between them as they each seek to maximize their self-interest. Policy implications for streamlining logistics operations are drawn from identifying where changes in the supply chain arrangements have gained or lost opportunities in export markets, particularly in the Asia-Pacific region.

Prefabricated products are continually entering the building construction market; yet, the decision to use prefabricated products in a construction project is based mostly on personal preferences and the evaluation of direct costs. Researchers and practitioners have debated appropriate measurement systems for evaluating the impacts of prefabricated products and for comparing them with conventional on-site construction practices. The more advanced, cost–benefit approach to evaluating prefabricated products often inspires controversy because it may generate inaccurate results when converting non-monetary effects into costs. As prefabrication may affect multiple organisations and product subsystems, the method used to decide on production methods should consider multiple direct and indirect impacts, including nonmonetary ones. Thus, this study aims to develop a multi-criteria method to evaluate both the monetary and non-monetary impacts of prefabrication solutions to facilitate decision-making on whether to use prefabricated products.

Drawing upon a literature review, this research suggests a multi-criteria method that combines the choosing-by-advantage approach with a cost–benefit analysis. The method was presented for validation in focus group discussions and tested in a case involving a prefabricated bathroom.

The analysis indicates that the method helps a project’s stakeholders communicate about the relative merits of prefabrication and conventional construction while facilitating the final decision of whether to use prefabrication.

This research contributes a method of evaluating the monetary and non-monetary impacts of prefabricated products. The research underlines the need to evaluate the diverse benefits and sacrifices that stakeholder face when considering production methods in construction.