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"Agricultural products"
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How does agricultural product quality and safety regulation drive agricultural economic growth: a quasi-natural experiment from China’s agricultural product quality and safety county pilot policy
The establishment of Agricultural Product Quality and Safety Counties not only enhances the quality and safety standards of agricultural products, effectively ensuring food safety and consumption security, but also holds significant implications for accelerating the transformation of agricultural development patterns and advancing modern agriculture. Based on panel data from 1,609 Chinese counties from 2010 to 2023, this study employs the national pilot policy for Agricultural Product Quality and Safety Counties as a quasi-natural experiment and utilizes a multi-period difference-in-differences approach to examine the impact of establishing these counties on agricultural economic growth and its underlying mechanisms. The findings reveal that: (1) the pilot policy significantly promotes county-level agricultural economic growth, a conclusion that remains robust after a series of robustness checks; (2) heterogeneity analysis indicates the policy’s effects are more pronounced in central and eastern regions, major grain-producing areas, and regions with higher levels of economic development, digital infrastructure, and transportation facilities; (3) mechanism analysis demonstrates that the policy facilitates agricultural economic development by promoting expanded operational scale and the development of geographical indications. This study provides theoretical support and policy references for further expanding the Agricultural Product Quality and Safety County initiative and for government agencies to formulate development policies tailored to local conditions.
Journal Article
Dynamic linkage between industrialization, energy consumption, carbon emission, and agricultural products export of Pakistan: an ARDL approach
This study aims to contribute to the literature and examine the causal relationship between Pakistan’s agricultural products export, industrialization, urbanization, transportation, energy consumption, and carbon emissions. For the last four decades, time-series data were used to employ short-run and long-run nexus between the selected variables by analyzing the autoregressive distributed lag model (ARDL). The Granger causality test was analyzed to estimate the causality directions. The unit root test results indicate that all the selected variables are stationary at the level and first difference. The bound test confirmed that all variables are cointegrated at a 1% significance level. Long-run estimates suggest that an increase in energy consumption will increase the export of agricultural products. An increase in urbanization, transportation, and carbon emission resulted in a decrease in agricultural products export in Pakistan. In the short run, an increase in industrialization, transportation, and energy consumption leads to an increase in agricultural products export. Increasing urbanization and carbon emission decrease the agricultural products export of Pakistan. Based on our findings, we recommend sustainable agricultural production, renewable energy consumption, low carbon emission technologies, and a green portfolio for sustainable agricultural products export.
Journal Article
Innovations and techno-ecological transition
\"This book aims to present a systemic perspective to energetic transition to a discarbonated society implying an increase of energetic efficiency of current production process, new way of energy production -- integration of renewable energies, re-use of wastes. Main societal functions are analyzed in order to highlight the ongoing process of technological and non-technological innovations: transport and mobility, food, building. The purpose of this book is to analyze from a global perspective the energetic innovative system on building and to understand the limits of its development and potential new actions.\" -- Publisher's website.
Book
Study on enhancing consumers’ purchase intention in E-commerce agricultural products
PurposeThe purpose of this paper is to utilize the ISM–MICMAC–AHP integrated method to determine the factors influencing consumers’ purchase intention towards e-commerce agricultural products and develop a model, as well as to explore strategies to enhance consumers’ purchase intention.Design/methodology/approachThe study conducts an exhaustive literature review and gathered expert opinions to identify 20 influencing factors across five dimensions, constructing a comprehensive factor system. The Interpretative Structural Modelling (ISM) method is used determine the hierarchical structure and interrelationships among these factors. Subsequently, Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis is done to assess the influence and dependence relationships among the factors in the system. Finally, Analytic Hierarchy Process method is proposed to distribute assessment indicators weights.FindingsThe system of factors influencing consumers’ intention to purchase agricultural products through e-commerce is constructed as a six-level hierarchical interpretive structural model. The quality and safety of agricultural products, consumer review, taste and mouth-feel of agricultural products and e-commerce platform reputation are the main factors that affect consumers’ intention to purchase e-commerce agricultural products. Consumers’ degree of education, age and level of income exhibit the highest driving force, while e-commerce platform reputation demonstrates the highest level of dependence.Originality/valueThis paper represents the first attempt to employ an ISM-MICMAC-AHP integrated method to study consumers’ purchase intention for e-commerce agricultural products. The findings offer actionable insights for e-commerce platforms and policymakers, highlighting critical factors like product quality and platform reputation, which can inform strategies to enhance consumer trust and drive sustainable growth in agricultural e-commerce. This research supports evidence-based decision-making, promoting more effective management practices and policy development in the sector.
Journal Article
Opération Mange-Gardiens : non au gaspillage alimentaire!
\"Un tiers des aliments produits dans le monde n'est mangé par personne et jeté aux ordures. À l'échelle planétaire, le gaspillage alimentaire représente le volume faramineux de 1,3 milliard de tonnes de fruits, de légumes, de viandes, de laitages et de céréales... À chaque seconde, on détruit 41 tonnes de nourriture comestible à travers le monde, alors que plus de 345 millions de personnes souffrent de la faim. Opération mange-gardiens, un documentaire fouillé et incontournable pour sensibiliser les jeunes au gaspillage alimentaire et pour leur donner des outils afin qu'ils deviennent à leur tour de véritables « mange-gardiens »\"--Publisher's website.
Book
Research on the Time-Dependent Split Delivery Green Vehicle Routing Problem for Fresh Agricultural Products with Multiple Time Windows
Due to the diversity and the different distribution conditions of agricultural products, split delivery plays an important role in the last mile distribution of agricultural products distribution. The time-dependent split delivery green vehicle routing problem with multiple time windows (TDSDGVRPMTW) is studied by considering both economic cost and customer satisfaction. A calculation method for road travel time across time periods was designed. A satisfaction measure function based on a time window and a measure function of the economic cost was employed by considering time-varying vehicle speeds, fuel consumption, carbon emissions and customers’ time windows. The object of the TDSDGVRPMTW model is to minimize the sum of the economic cost and maximize average customer satisfaction. According to the characteristics of the model, a variable neighborhood search combined with a non-dominated sorting genetic algorithm II (VNS-NSGA-II) was designed. Finally, the experimental data show that the proposed approaches effectively reduce total distribution costs and promote energy conservation and customer satisfaction.
Journal Article
Application of hyperspectral technology in detection of agricultural products and food: A Review
Food is the foundation of human survival. With the development and progress of society, people increasingly focus on the problems of food quality and safety, which is closely related to human's health. Thus, the whole industrial chain from farmland to dining table need to be strictly controlled. Traditional detection methods are time‐consuming, laborious, and destructive. In recent years, hyperspectral technology has been more and more applied to food safety and quality detection, because the technology can achieve rapid and nondestructive detection of food, and the requirement to experimental condition is low; operability is strong. In this paper, hyperspectral imaging technology was briefly introduced, and its application in agricultural products and food detection in recent years was systematically summarized, and the key points in the research process were deeply discussed. This work lays a solid foundation for the peers to the following in‐depth research and application of this technology. Compared with chemical detection, the advantages of this technology were introduced. The application progress of hyperspectral technology in primary agricultural products and food in recent years was systematically reviewed. The deficiency and key points of this technology in the research were discussed in depth.
Journal Article
Research on origin-based cold storage location and routing optimization of fresh agricultural products based on hybrid whale algorithm
With the focus on the insufficient origin-based cold storage in China, this study investigates the location and routing problem (LRP) of origin-based cold storage for fresh agricultural products. This study considers the loss of fresh agricultural products in different environments during transportation and presents a cold storage LRP model. To address this issue, a hybrid whale algorithm with heuristic rules is designed, and the effectiveness of the algorithm is verified by standard instances. Finally, taking Chenggu County as a practical case, the influence of cold storage capacity and farmers’ demand for refrigeration are analysed. Experimental results show that the proposed algorithm has a good effect in solving medium-scale LRP. As the storage capacity increases, the total cost of the system can be increased by 0.086%. As farmers’ demand for refrigeration increases, the total cost of the system can be increased by 34.034%. Farmers’ demand has a greater impact on the system’s total costs than the cold storage capacity. When optimizing the cold storage layout, changes in fresh agricultural product output in the next few years can be roughly predicted, and the most economical optimization scheme can be obtained.
Journal Article