《Agribusiness》2023年第39卷第1期目录及摘要

全文链接：

https://onlinelibrary.wiley.com/toc/15206297/2023/39/1

RESEARCH ARTICLES

Behavioral framing and consumer acceptance of new food technologies: Factors influencing consumer demand for active packaging

David R. Just,  Julie M. Goddard

Toward a differentiated understanding of the effect of Nutri-Score nutrition labeling on healthier food choices

Birgit Gassler,  Claudia K. Faesel,  Anke Moeser

I scream, you scream, we all scream for local ice cream: Consumer preferences for locally processed foods

Xiao Dong,  H. Allen Klaiber,  Zoë Plakias

Exploring market choices in the US ornamental horticulture industry

Xuan Wei,  Hayk Khachatryan,  Alan Hodges,  Charlie Hall,  Marco Palma,  Ariana Torres,  Robin Brumfield

Factors correlated with the propensity to use automation and mechanization by the US nursery industry

Alicia L. Rihn,  Margarita Velandia,  Laura A. Warner,  Amy Fulcher,  Susan Schexnayder,  Anthony LeBude

Smartphone use and willingness to adopt digital pest and disease management: Evidence from litchi growers in rural China

Yi Cai,  Wene Qi,  Famin Yi

Dynamic modeling of biotechnology adoption with individual versus social learning: An application to US corn farmers

Do-il Yoo,  Jean-Paul Chavas

Domestic clustered networks and internationalization of agrifood SMEs

Raul Serrano,  Natalia Dejo-Oricain,  Juan Ferrer,  Vicente Pinilla,  Silvia Abella-Garcés,  Maria Teresa Maza

Big and strong or small and beautiful: Effects of organization size on the performance of farmer cooperatives in China

Qiao Liang,  Rongrong Bai,  Zhi Jin,  Linlin Fu

Forecasting drinking milk price based on economic, social, and environmental factors using machine learning algorithms

Abdulkadir Atalan

Do smaller chicken farms use more antibiotics? Evidence of antibiotic diffusion from Nigeria

Charuta M. Parkhi,  Lenis Saweda O. Liverpool-Tasie,  Thomas Reardon

Multiplicity of sustainability standards and potential trade costs in the palm oil industry

Laura M. G. Hidalgo,  Rosane N. de Faria,  Roberta Souza Piao,  Christine Wieck

LETTERS

Effectiveness of nutritional information in increasing demand for enriched yoghurt among poor households in Kenya: Implications for agribusiness marketing strategies

David L. Ortega,  Vincenzina Caputo,  Mywish Maredia

The impact of the Russian invasion of Ukraine on grain and oilseed trade

Soojung Ahn,  Dongin Kim,  Sandro Steinbach

Behavioral framing and consumer acceptance of new food technologies: Factors influencing consumer demand for active packaging

David R. Just     Julie M. Goddard

Abstract: We examine consumer willingness to pay (WTP) for foods packaged using active packaging which can be used to improve quality, shelf life, or safety of a range of products, potentially reducing the use of food additives (preservatives) and food waste. We administer an experimental survey of US food consumers (n = 2325) with five treatments. The surveys include contingent valuation exercises to assess consumer WTP for six products in active packaging relative to conventional packaging. We find that consumer acceptance of this technology is dependent on the product packaged and related directly to the specific relative benefit. In addition, consumer WTP is impacted by the framing of the technology in relation to other available technologies, information about the developer of the technology, and the degree of specificity of information regarding benefits. Notably, impacts of framing and use cases are primarily apparent among those who are resistant to the technology. A cluster analysis finds that those more likely to resist the technology include households that are lower income, less educated, and more likely to be white

Toward a differentiated understanding of the effect of Nutri-Score nutrition labeling on healthier food choices

Birgit Gassler    Claudia K. Faesel     Anke Moeser

Abstract: By 2022, the European Commission seeks to introduce harmonized, mandatory front-of-pack (FOP) nutrition labeling. The color-graded Nutri-Score is at the heart of the European debate. Yet, little is known about how the information provided in back-of-pack (BOP) nutrition tables interacts with evaluative FOP labels, such as Nutri-Score, and if different consumer groups use both information cues differently when making food choices. Our objective is thus to identify segments of nutrition label users and contrast their choice behavior and use of FOP and BOP nutritional information. Therefore, this study builds on an attitude-based segmentation analysis and a survey-based discrete choice experiment among German consumers. We identify five segments of nutritional information users and significant interaction effects between FOP and BOP nutritional cues. Consumers use supplementary nutritional information differently: relying on BOP nutrition facts only (label-resisters) or combining both information cues (majority). For most, Nutri-Score reinforces the positive effect of a healthier nutrient profile on purchase likelihood, while its use stigmatizes products of low nutritional quality. Overall, supplementary Nutri-Score labeling enables better alignment of food choices and health preferences, especially for consumers overwhelmed by technical BOP nutrition tables, and helps differentiate products with relatively unhealthy nutritional profiles. We discuss implications for food policy and business. 

I scream, you scream, we all scream for local ice cream: Consumer preferences for locally processed foods

Xiao Dong      H. Allen Klaiber      Zoë Plakias

Abstract: This study investigates consumer preferences for local brands of consumer packaged goods. Using a structural model of consumer demand for ice cream and data on retail ice cream sales from multiple locations of a large food retailer, we estimate consumer demand for local brands of ice cream and the willingness to pay for the local attribute. Using fixed and random coefficients logit models of product choice with cost shifters as instruments, we find that Ohio consumers are willing to pay, on average, an additional $0.13 per serving for local brands of ice cream. In counterfactual simulations, we estimate that replacing local brands of ice cream would reduce welfare by $2.78 million dollars annually for consumers in Ohio. For policymakers seeking to maintain and attract new local food producers, these results provide new insights into the potential gains that could result from increased local consumer packaged goods entrants

Exploring market choices in the US ornamental horticulture industry

Xuan Wei    Hayk Khachatryan     Alan Hodges     Charlie Hall     Marco Palma      Ariana Torres      Robin Brumfield

Abstract: In 2019, the US ornamental horticulture industry had a farm gate crop value of roughly $17 billion, contributed $348 billion in total output to the nation's economy, and created 2.32 million employment opportunities. However, as the industry matures and reaches a slow-growing stage, interfirm rivalry may appear among grower firms for marketing channels and sales opportunities. Independent garden centers and retailers report facing increased competition from mass merchandisers. Market channel choices, as part of the competitive strategy, are alternative ways for ornamental production to reach consumers. However, marketing practices of this industry have not received adequate attention from researchers despite the economic significance of the industry. Combining four waves of the National Green Industry Survey from 2004 to 2019, this study provides a comprehensive analysis of factors influencing firms' market participation and market channel choices. Over the survey period, traditional wholesale market channels such as landscape services companies, rewholesalers, and single-location garden centers have remained mainstream channels. The direct-to-consumer (DTC) channel showed the potential to gain significant market share. Thirty percent of the firms participated in DTC channel in 2018, and their sales represent about 22% of total sales by all survey firms. Our empirical results show firms' wholesale market participation and choices of market channels are largely influenced by plant types and firm perceptions (variables potentially affecting firms' assessment of the “size” of their market) and variables approximating the market size such as regional dummies and housing price index, confirming the impact of market size on entry decision. 

Factors correlated with the propensity to use automation and mechanization by the US nursery industry

Alicia L. Rihn     Margarita Velandia      Laura A. Warner     Amy Fulcher     Susan Schexnayder     Anthony LeBude

Abstract: Labor issues are an increasingly important challenge to agriculture operations across various crops, including agricultural firms in food and specialty crop (e.g., ornamental nursery) sectors. The use of technologies to automate production processes is one means to address labor challenges. This study investigates ornamental nursery industry firms' current use of specific automation technologies, including granular fertilizer applicators, foliage pruners, irrigation scheduling, and trikes. Additionally, this study evaluates the correlation between perceived barriers of adoption, firm characteristics, and the US nursery industry's likelihood of adopting automated technologies. A mixed-mode survey was used to elicit responses from firms. Overall, barriers to adoption include the costs associated with the initial purchase and installation costs. Several firm characteristics and actions to address labor issues are correlated with the use of the automated technologies evaluated in this study. We observed both positive and negative associations between actions to address labor issues and adoption of specific technologies that suggest that decisions are complicated by the firms' production needs, strategies, perceived benefits, and potential return-on-investment of the various automation and mechanization. Perceived improvements in product quality from adopting automation technologies are positively correlated with the likelihood of adopting all of the technologies evaluated. 

Smartphone use and willingness to adopt digital pest and disease management: Evidence from litchi growers in rural China

Yi Cai     Wene Qi     Famin Yi

Abstract: This study uses a dataset covering 928 small litchi growers in southern China to investigate the determinants of farmers' willingness to adopt digital pest and disease management (DPDM), focusing on smartphone use. An endogenous switching probit model is employed to address potential selection bias. The result confirms the positive role of smartphone use on willingness to adopt DPDM. Age, education, health, wealth, cooperative membership, and credit access are also associated with farmers' willingness to adopt DPDM. Moreover, we find that the determinants of smartphone users' and nonusers' willingness to adopt DPDM are different. Finally, we propose a digital inclusion agenda to promote rural smartphone adoption and use in agriculture.

Dynamic modeling of biotechnology adoption with individual versus social learning: An application to US corn farmers

Do-il Yoo     Jean-Paul Chavas

Abstract: Relative roles of individual versus social learning on biotechnology adoption are investigated with an empirical focus on the adoption of Genetically Modified (GM) corn in the US Corn Belt. Relying on a Kalman filter algorithm, the unobservable learning process is parameterized in a dynamic programming problem, and parameters are estimated using a minimum-distance estimator. Estimates show that farmers are risk-averse and that both individual and social learning affect GM technology adoption with more importance on individual learning than social learning, whose statistical significances are confirmed by hypothesis testing. Sensitivity analysis results show that social learning contributes to lower GM adoption rates, reflecting a strategic delay in the presence of information externalities in the early and middle diffusion stages.

Domestic clustered networks and internationalization of agrifood SMEs

Raul Serrano    Natalia Dejo-Oricain     Juan Ferrer    Vicente Pinilla     Silvia Abella-Garcés     Maria Teresa Maza

Abstract: This paper examines how participating in domestic clustered networks in the agri-food industry affects the export status and export intensity of small and medium-sized enterprises (SMEs). The Uppsala internationalization process model has been revisited in light of the knowledge that these networks can contribute to promoting the presence of SMEs abroad. The study uses a sample of companies in the Spanish wine industry and characterizes 76 domestic clustered business networks (Protected Designations of Origin). The value and originality of the paper reside in its contribution in terms of measuring the degree of internationalization of domestic clustered networks to which SMEs belong. It also assesses the effect of these networks on the internationalization process of the agri-food industry, considering that domestic clustered networks with a strong international commitment generate greater internationalization opportunities.

Big and strong or small and beautiful: Effects of organization size on the performance of farmer cooperatives in China

Qiao Liang     Rongrong Bai     Zhi Jin      Linlin Fu

Abstract: The relationship between organization size and performance is widely discussed in relation to companies, yet related discussion of farmer cooperatives is limited. This study maps the membership size distribution of farmer cooperatives in China and explores the effects of membership size on the economic performance of cooperatives. A panel dataset of the census of farmer cooperatives in China from 2014 to 2019 is used for the empirical analyses. First, the Pareto indices of farmer cooperatives' size distribution are calculated, and the results feature the dominance of small cooperatives and the underdevelopment of large cooperatives. Second, membership size has a positive effect on the total profit of cooperatives. Third, the impact of membership size on the profit per member displays an inverted “U” pattern, and the optimal membership size is 19 members. These effects are heterogeneous across product categories and cooperative ages. The robustness of the results is confirmed by alternative key explanatory indicators and estimation methods.

Forecasting drinking milk price based on economic, social, and environmental factors using machine learning algorithms

Abdulkadir Atalan

Abstract: The study aimed to describe and test machine learning (ML)-based algorithms to evaluate the unit price of drinking milk. The algorithms were applied to the data collected over 8 years in 2014 and 2021 related to the price of drinking milk in Turkey. The economic, social, and environmental factors that have an impact on the unit price of drinking milk were evaluated. Five ML algorithms, including random forest, gradient boosting, support vector machine (SVM), neural network, and AdaBoost algorithms, were utilized to predict the drinking milk unit price. ML also applied hyperparameter tuning with nested cross-validation to calculate the prediction accuracy for each algorithm. The results show that the random forest algorithm based on the features of the ML algorithms has the best performance, with the accuracy of 99.30% for training and 98.10% for testing the dataset. The average accuracy of gradient boosting, SVM, neural network, and AdaBoost are obtained as 97.30%, 96.15%, 95.65%, and 96.05%, respectively. Random forest performed best as the target variable with the lowest deviation values of mean squared error (MSE) (0.004), root mean square error (RMSE) (0.060), and mean absolute error (MAE) (0.029) in the training and MSE (0.009), RMSE (0.096), and MA (0.055) in the testing dataset. This study presents an interesting perspective with practical potential to adopt ML methods in the dairy industry. The developed ML algorithms can provide dairy investors and policymakers with important decision-support information.

Do smaller chicken farms use more antibiotics? Evidence of antibiotic diffusion from Nigeria

Charuta M. Parkhi     Lenis Saweda O. Liverpool-Tasie     Thomas Reardon

Abstract: Farmers across the world have been using antibiotics in poultry production for both therapeutic and nontherapeutic purposes since the mid 1900s. The literature on antibiotic diffusion and intensification is largely focused on developed countries in North America and Western Europe. There is some literature on Asia where the emphasis has shifted from antibiotic diffusion to concerns about antimicrobial resistance due to excessive use of antibiotics. Although there is evidence of farming intensification across sub-Saharan Africa, few studies have looked at antibiotic use among livestock farmers. We fill this gap by studying antibiotic use over farm size and regions in Nigerian poultry farming. We find that antibiotic use for nontherapeutic purposes is rapidly expanding among small farms (already over 60% for those with 50–100 birds) and widespread among medium and large chicken farmers (75%–95%) across both richer and poorer regions of Nigeria. While large farmers are more likely to adopt antibiotics, their indiscriminate use is more evident among small farmers. Further, our results reveal that information dissemination through social networks and extension services could play a crucial role in the efficient use of antibiotics. This suggests a need to promote awareness regarding excessive use of antibiotics, particularly in the absence of regulation in Nigeria and other developing countries.

Multiplicity of sustainability standards and potential trade costs in the palm oil industry

Laura M. G. Hidalgo      Rosane N. de Faria      Roberta Souza Piao      Christine Wieck

Abstract: The growing impact of the global production of agricultural commodities has created new regulations that aim at a more sustainable trade. Sustainability standards (SS) are essential tools for transnational trade governance because they increase the possibility of recognizing products from sustainable sources. However, there is currently a proliferation of SS in almost every industry. This paper proposes a conceptual framework to establish how standard interactions such as competition, cooperation, and overlap shape the impact of multiplicity on trade costs. We apply the framework to the palm oil industry by using the information on three aspects of SS schemes: the requirements, the institutional design, and the cooperation strategies. Our results indicate that the North–South multiplicity in the palm oil market is characterized by high overlap, but there exists a balanced co-opetition in the standard market. As the cooperation strategies between the SS schemes are very shallow, there might be potential trade costs associated with the SS multiplicity in the palm oil industry. 

Effectiveness of nutritional information in increasing demand for enriched yoghurt among poor households in Kenya: Implications for agribusiness marketing strategies

David L. Ortega     Vincenzina Caputo     Mywish Maredia

Abstract: The yoghurt market represents one of the most dynamic consumer segments in Kenya's dairy industry. Product innovation like yoghurt enriched with nutrients is increasingly promoted to address the challenges of micro-nutrient deficiencies, especially among children and women of poor households. Using data from 383 in-household interviews in predominantly poor neighborhoods in Nairobi, we focus on evaluating features that can make this healthy product more desirable to increase demand and inform agribusiness marketing efforts. More specifically, we elicit preferences and willingness to pay (WTP) for health and nutrition-related yoghurt product attributes, and find that information connecting product enrichment to health can increase consumer desirability and consumer WTP. 

The impact of the Russian invasion of Ukraine on grain and oilseed trade

Soojung Ahn     Dongin Kim     Sandro Steinbach

Abstract: This paper provides an ex-post impact assessment of the Russian invasion of Ukraine on international grain and oilseed trade. We use a commodity-level empirical model to assess the counterfactual trade effects and evaluate the region-specific global trade reallocation effects. We find that grain and oilseed imports from Ukraine were 78.2% below the counterfactual between February and July 2022. The Russia–Ukraine war caused substantial trade diversion, mainly benefiting countries in North America and Europe. The adjustment of global grain and oilseed trade operates primarily through price adjustments, with considerable heterogeneity across commodity groups. Our ex-ante analysis demonstrates that the Ukraine–Russia war had substantial trade implications for the directly involved countries but only limited ones for the global grain and oilseed markets in terms of traded quantity.

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