Search Results (24)

China’s National Famous, Special, Excellent, and New Agricultural Products are key rural economic assets, yet their spatial patterns and sustainability drivers remain underexplored. Based on the geospatial data of 1932 National Famous, Special, Excellent and New Agricultural Products in China, this study systematically analyzes their spatial distribution pattern by using GIS spatial analysis techniques, including the standard deviation ellipse, kernel density estimation, geographic concentration index and Lorenz curve, and quantitatively explores the driving factors of sustainable development by using geographic detectors. The research results of this paper are as follows. (1) The spatial distribution shows a significant non-equilibrium characteristic of “high-density concentration in the central and eastern part of the country and low-density sparseness in the western part of the country” and the geographic concentration index (G = 22.95) and the standard deviation ellipse indicate that the center of gravity of the distribution is located in the North China Plain (115° E–35° N), and the main direction extends along the longitude of 110° E–120° E. (2) Driving factor analysis showed that railroad mileage (X10) (q = 0.5028, p = 0.0025 < 0.01), highway mileage (X11) (q = 0.4633, p = 0.0158 < 0.05), and population size (X3) (q = 0.4469, p = 0.0202 < 0.05) are the core drivers. (3) Three-dimensional kernel density mapping reveals that the eastern coast and central plains (kernel density > 0.08) form high-density clusters due to the advantages of the transportation network and market, while the western part shows a gradient decline due to the limitation of topography and transportation conditions. The study suggests that the sustainable development of National Famous, Special, Excellent, and New Agricultural Products should be promoted by strengthening transportation and digital logistics systems, enhancing cold-chain distribution for perishable goods, tailoring regional branding strategies, and improving synergy among local governments, thereby providing actionable guidance for policymakers and producers to increase market competitiveness and income stability. The study provides a quantitative, policy-oriented assessment of China’s branded agricultural resource allocation and its sustainability drivers, offering specific recommendations to guide infrastructure investment, e-commerce logistics enhancement, and targeted subsidy design for balanced regional development. The study highlights three key contributions: (1) an innovative integration of geospatial analytics and geographical detectors to reveal spatial patterns; (2) clear empirical evidence for policymakers to prioritize transport and digital logistics investments; and (3) practical guidance for producers and brand managers to enhance product market reach, optimize supply chains, and strengthen regional competitiveness in line with sustainable development goals. Full article

Amid the urgent need to align agricultural practices with the United Nations Sustainable Development Goals (SDGs), this study examines the role of agricultural digitalization in promoting sustainable and green development in China. Specifically, it explores demand-side factors that drive improvements in agricultural green development and categorizes development models into three types: market-oriented, policy-driven, and innovation-driven. Utilizing provincial-level data from 2011 to 2021, this study employs semiparametric and spatial Durbin models to empirically assess the effects, underlying mechanisms, and regional disparities of agricultural digitalization in advancing green development. The main findings are as follows: (1) Overall, both agricultural digitalization and the level of green agricultural development have gradually increased during the study period, with agricultural digitalization significantly contributing to sustainable agricultural development. (2) The impact of agricultural digitalization on green agricultural development shows an upward trend in eastern, coastal, and non-grain-producing regions, as well as in the southeastern areas of the “Hu Huanyong Line”. In contrast, inland regions and the northwestern areas of the “Hu Huanyong Line” exhibit a U-shaped relationship, and grain-producing regions experience a clear inhibitory effect. Additionally, the promoting effect of agricultural digitalization is more pronounced in regions with higher levels of green agricultural development. (3) Agricultural digitalization generates positive spillover effects, benefiting not only the local region but also surrounding areas, with a stronger radiative effect on neighboring regions. (4) Mechanism analysis suggests that under all three development models, agricultural digitalization can effectively enhance green agricultural development by improving the alignment of supply and demand for green agricultural products, accelerating the establishment and promotion of green agricultural brands, strengthening environmental regulation, fostering new agricultural business entities, advancing agricultural mechanization, and improving the efficiency of facility agriculture. Full article

This study leverages advanced analytical tools such as ArcGIS spatial analysis and Geographical Detectors to conduct a comprehensive analysis of the spatial distribution characteristics, equilibrium, hotspot areas, and geographic associations of 164 district-level agribusiness brands in Guangxi, highlighting the unique insights these tools provide into the spatial heterogeneity of agricultural enterprise brands. Our findings reveal a significant concentration of brands in the northern region, particularly in Nanning, Liuzhou, and Guilin, with a dense northeast and sparse southwest distribution pattern. We identify a positive correlation between the number of regional brands and GDP and a negative correlation with distance from major highways. This suggests that regional economic development and transportation infrastructure significantly impact brand distribution. To enhance brand development, we recommend focusing on regional brand cultivation, innovation, and leveraging digital marketing strategies. This study provides actionable insights for policymakers and practitioners aiming to promote agricultural brand growth and rural revitalization in Guangxi. This pattern suggests that regions with abundant natural resources and higher economic development levels are more conducive to the formation and growth of agricultural enterprise brands, highlighting the importance of regional economic foundations and resource endowments in agricultural branding. Specifically, brands are primarily concentrated in the northern region, with Nanning, Liuzhou, and Guilin having a particularly high number of such brands. This pattern aligns with the core–periphery theory in economic geography, which suggests that economic activities tend to cluster around central cities due to agglomeration economies. The findings challenge the assumption that agricultural brands are evenly distributed across regions, highlighting the importance of regional economic foundations and infrastructure in brand development. Additionally, the significant positive correlation between the number of regional brands and Gross Domestic Product supports the idea that economic strength fosters brand development. Conversely, the significant negative correlation between the number of agricultural brand enterprises and the distance from major highways underscores the critical role of transportation infrastructure in facilitating market access and brand growth. Therefore, this study highlights the importance of cultivating regional brands, enhancing innovation capabilities, and advancing new marketing methods to promote the spatial equilibrium and sustainable development of agricultural enterprise brands, contributing to rural revitalization in Guangxi. Full article

Transforming ecological value into economic value is an important challenge regarding China’s protected natural areas. The key strategy is to develop a regional public brand and increase the premium of eco-products. A brand–quality–price model was proposed to analyze the factors influencing consumers’ purchase intention and behavior toward eco-agricultural products from China’s protected natural areas. The data came from a questionnaire survey sample of 300 consumers in Zhejiang Province. The results show that there is a gap between purchase intention and actual behavior: (1) For purchase intention, brand awareness, brand trust, perceived quality, and perceived price had significant positive influences. (2) For purchase behavior, brand awareness, and purchase intention had direct impacts. However, brand trust did not directly affect behavior. (3) Age, monthly income, and marital status had significant effects on purchase intention and behavior. However, purchase intention and behavior were not affected by gender, and the educational level had significant effects on purchase intention but had no significant effects on purchase behavior. (4) Consumers were willing to pay 17.13% more than the price of the ordinary products. This study provides important references for brand development and valuable experience for establishing ecological product value realization mechanisms in other protected natural areas. Full article

Wheat is one of the most widely grown cereal crops, serving as a key factor in sustaining the nutritional and food balance in numerous countries. The use of non-contact methods for wheat monitoring allows for the rapid diagnosis of vegetation density, crop growth, and the presence of weeds and diseases in the investigated fields. This study aims to assess the potential for differentiating growth patterns in winter wheat cultivars by examining them with two unmanned aerial vehicles (UAVs), the Mavic 2 Pro and Phantom 4 Pro, equipped with a multispectral camera from the MAPIR™ brand. Based on an experimental study conducted in the Southern Dobruja region (Bulgaria), vegetation reflectance indices, such as the Normalized-Difference Vegetation Index (NDVI), Soil-Adjusted Vegetation Index (SAVI), and Enhanced Vegetation Index 2 (EVI2), were generated, and a database was created to track their changing trends. The obtained results showed that the values of the NDVI, EVI2, and SAVI can be used to predict the productive potential of wheat, but only after accounting for the meteorological conditions of the respective growing season. The proposed methodology provides accurate results in small areas, with a resolution of 0.40 cm/pixel when flying at an altitude of 12 m and 2.3 cm/pixel when flying at an altitude of 100 m. The achieved precision in small and ultra-small agricultural areas, at a width of 1.2 m, will help wheat breeders conduct precise diagnostics of individual wheat varieties. Full article

In the face of a highly competitive tourism market, when tourists hold positive brand equity towards a destination, it enhances the destination’s ability to differentiate itself from competitors. This study focuses on the brand equity of organic agricultural tourism, using multidimensional scaling (MDS) to explore the factor structure of brand equity and the perceptual positioning of various tourism destination brands. The research targets tourists engaging in organic agricultural tourism in the Hualien and Taitung regions, with 220 valid questionnaires collected. The research findings indicate the following: 1. Among the 22 brand equity items, “loyalty to organic agricultural tourism”, “awareness of organic agricultural products”, “quality of organic agricultural products”, “environmental sustainability”, “image of healthy tourism”, and “recognition of organic agricultural development” scored the highest. 2. The analysis revealed that the brand equity factors are ranked in the following order: BIHS, BACI, BPQ, BLO, and BAW. 3. Through MDS analysis, the five organic agricultural tourism destinations were categorized into high, medium, and low brand equity groups, illustrating the differentiated competitive relationships among these destinations. The top three factors influencing the brand perceptual maps were BAW, BIHS, and BPQ. The results of this study can serve as a reference for future research on brand equity in organic agricultural tourism and provide a scientific basis for the practical application of shaping brand equity and formulating competitive strategies. Full article

The origin of agricultural products is crucial to their quality and safety. This study explored the differences in chemical composition and structure of rice from different origins using fluorescence detection technology. These differences are mainly affected by climate, environment, geology and other factors. By identifying the fluorescence characteristic absorption peaks of the same rice seed varieties from different origins, and comparing them with known or standard samples, this study aims to authenticate rice, protect brands, and achieve traceability. The study selected the same variety of rice seed planted in different regions of Jilin Province in the same year as samples. Fluorescence spectroscopy was used to collect spectral data, which was preprocessed by normalization, smoothing, and wavelet transformation to remove noise, scattering, and burrs. The processed spectral data was used as input for the long short-term memory (LSTM) model. The study focused on the processing and analysis of rice spectra based on NZ-WT-processed data. To simplify the model, uninformative variable elimination (UVE) and successive projections algorithm (SPA) were used to screen the best wavelengths. These wavelengths were used as input for the support vector machine (SVM) prediction model to achieve efficient and accurate predictions. Within the fluorescence spectral range of 475–525 nm and 665–690 nm, absorption peaks of nicotinamide adenine dinucleotide (NADPH), riboflavin (B2), starch, and protein were observed. The origin tracing prediction model established using SVM exhibited stable performance with a classification accuracy of up to 99.5%.The experiment demonstrated that fluorescence spectroscopy technology has high discrimination accuracy in tracing the origin of rice, providing a new method for rapid identification of rice origin. Full article

Against the background of B2C e-commerce platforms, ecological agricultural enterprises often overlook the issues of quality and safety, as well as product image shaping, during their operations, thereby affecting consumers’ purchase decisions. This study adopted authoritative scales and utilized data from 201 questionnaires to empirically investigate the influence of brand images on brand attitudes. Firstly, variables of consumers’ perception and brand attitude were measured through questionnaires. Secondly, regression models were used to discuss the impacts of different brand storytelling themes on brand attitudes. Finally, models of the mediating and moderating effects were employed to empirically study the mechanisms of consumers’ perception and regional familiarity. The research results indicate that brand storytelling themes of ecological agricultural products have a significant positive impact on consumers’ brand attitudes. Consumers’ perception of authenticity plays a mediating role, while regional familiarity acts as a moderator. The research conclusions enrich brand evaluation systems, deepen the related research on brand storytelling themes of agricultural products, reveal the inherent mechanism of the influence of brand storytelling themes of ecological agricultural products on consumers’ brand attitudes, and provide a reference for the practice of regional brand narratives of agricultural products. Full article

In China, geographical indications (GIs) are seen as certificates or collective trademarks, as well as representations of quality agricultural products, and are important in revitalizing the countryside. Therefore, a combined qualitative and quantitative method was employed to examine the operational practices of GIs at the relatively micro-level of the municipality in order to identify their effectiveness and challenges in rural revitalization and propose more targeted optimization suggestions. Pengshui Miao and Tujia Autonomous County, located in the Wuling Mountains in southeastern Chongqing, is an excellent example of the positive impact GIs can have on rural development, boasting the highest number of GI trademarks in the region. Despite the large number of GIs in Pengshui, there are several issues that need to be addressed, including low brand awareness, lack of product enhancement, and poor market competitiveness. To overcome these challenges, there must be a shift from a quantity-based to a quality-based approach to GI trademark declarations. This requires promoting the transformation of traditional agriculture into modern agriculture, investing in rural infrastructure, and improving the efficiency and quality of GI product production. By doing so, individuals in the local community will be able to reap the benefits of GI trademarks, improving their income and standard of living. In view of the fact that administrative divisions and cultural regions overlap, it is important to promote interregional cooperation and encourage declarations of GI trademarks in neighboring counties. This will help to preserve the area’s local cultural heritage and promote its heritage through GIs. By taking a targeted approach to GI trademark declarations and promoting cooperation between regions, Pengshui, and other rural communities can maximize the benefits of GIs and support sustainable rural development. Full article

The Nineteenth National Congress of the Communist Party of China put forward the implementation of a rural revitalization strategy, which is an important way to achieve common prosperity for all the people, as promoting farmers’ income increase and narrowing the urban–rural income gap are key to promoting rural revitalization and common prosperity. So, under the background of vigorously promoting the rural revitalization strategy in China, it is very important to explore the effect and realization mechanism of geographical indication (GI) on reducing the urban–rural income gap. Based on the statistical data of 31 provinces in China from 2008 to 2019, this empirical study uses the spatial Durbin model (SDM) to analyze the relationship between GI and urban–rural income gap, and the stepwise regression method is used to explore the mediating effect of agricultural product exports on it. The results show that: (1) The potential economic value of GI branding can reduce the urban–rural income gap, and each additional unit of GI in this region will reduce the urban–rural income difference of this region by 0.160 units, and the urban–rural income difference of neighboring regions by 0.133 units. The result is still consistent after changing the proxy variable of urban–rural income gap for robustness test; (2) The brand effect of GI can form a stronger competitive advantage in foreign trade and promote the export level of agricultural products; (3) GI can narrow the urban–rural income gap through the export of agricultural products, and agricultural product export plays an important mediating effect. In the future, the government should not only strengthen the management and protection of GI but also actively market GI products. Promoting the international mutual recognition and mutual protection of GI can ensure the agricultural product export of GI and improve the foreign trade level of GI. Full article

Laser-induced breakdown spectroscopy (LIBS) is an atomic-emission spectroscopy technique that employs a focused laser beam to produce microplasma. Although LIBS was designed for applications in the field of materials science, it has lately been proposed as a method for the compositional analysis of agricultural goods. We deployed commercial handheld LIBS equipment to illustrate the performance of this promising optical technology in the context of food authentication, as the growing incidence of food fraud necessitates the development of novel portable methods for detection. We focused on regional agricultural commodities such as European Alpine-style cheeses, coffee, spices, balsamic vinegar, and vanilla extracts. Liquid examples, including seven balsamic vinegar products and six representatives of vanilla extract, were measured on a nitrocellulose membrane. No sample preparation was required for solid foods, which consisted of seven brands of coffee beans, sixteen varieties of Alpine-style cheeses, and eight different spices. The pre-processed and standardized LIBS spectra were used to train and test the elastic net-regularized multinomial classifier. The performance of the portable and benchtop LIBS systems was compared and described. The results indicate that field-deployable, portable LIBS devices provide a robust, accurate, and simple-to-use platform for agricultural product verification that requires minimal sample preparation, if any. Full article

Small farmers’ sustainable development has important significance for narrowing the gap between urban and rural areas and hastening the promotion of general prosperity in China. Currently, China still has 240 million small farmers. The sale of agricultural products is an important source of their income. Constrained by their small scale, lack of capital, and technology, small farmers often have to adopt a household operation mode. This decentralized agricultural production and operation mode results in significant difficulties for small farmers to benefit from planting and selling agricultural products. Many efforts have been made to help them, such as establishing agricultural product information platforms that can provide supply and demand information to facilitate small farmers’ sales. However, imbalances between suppliers and consumers and cross-regional transaction difficulties still exist. To promote the sustainable development of small farmers, this study develops an intelligent matching method for the transaction of agricultural products between suppliers and consumers. Firstly, a unique attribute set for agricultural products was established. Because most agricultural products are fresh, perishable, and not easily preserved, the general attributes (brand, logistics distance, product grade, and price) of commodities and the specific attributes (freshness, maturity, product certification, seasonal products, place of origin, and product safety) of agricultural products were taken into account. Secondly, by combining fuzzy mathematics with the information axiom, improved amount of information calculation methods for both quantitative and qualitative attributes were put forward. Thirdly, based on the amount of information about all attributes and with the goal of maximizing the transaction-matching degree for both the supplier and consumer, a multiobjective optimization model was proposed. Finally, the effectiveness and accuracy of the method were verified through a case study. In order to solve the dilemma of small farmers, this study proposes an integrated matching method for agricultural product transactions based on the information axiom. Through case verification, this method has good feasibility and effectiveness. It has broad application prospects which can be applied to information portals, e-commerce platforms, and other fields. The application of this method can empower small farmers’ capabilities, facilitate agricultural product sales, and promote small farmers’ sustainable development. Full article

The regional brand-driven construction of agricultural products has taken shape in China. At present, the status quo entails the homogenization of the brand-driven mode of construction, making it a serious phenomenon in China. In addition, the misalignment between the brand-driven mode and resource conditions in some areas not only causes a waste of resources but also leads to a lack of competitiveness and premium capacity for agricultural products within the brand, which cannot increase farmers’ income. This article constructs a theoretical model of the brand-driven mode and uses the fuzzy set qualitative comparative analysis method to identify effective brand-driven modes and explore their applicable environmental conditions. This research can provide theoretical guidance for the local development of regional brands of characteristic agricultural products. The results of the driving mode validity analysis show that the four brand-driven modes, resource-dependent, technology-induced, culture-driven, and industry-based, are the main construction paths for regional brands of agricultural products in China. Among them, the effectiveness of the resource-dependent and technology-induced modes is the highest, reaching 0.90 or more. The results of the applicability analysis show that the resource-dependent mode is suitable for farming areas with well-developed supporting policies and infrastructure and good economic development. In addition, the use of the technology-induced mode requires local farmers to have a high level of education and a high-quality base. Full article

The purpose of the study was to investigate the impact of attracting a mega-sport facility on the development of a small town. As a case study, we took a close look at the changes occurring since Muju County attracted Taekwondowon in 2014 and its significance to urban development and city branding. Data were collected by individual interviews with five research participants engaged in the business and the regional development of Taekwondowon and the Muju County Office (MCO). As a result, the study produced the following outcomes: First, MCO has established an administrative and legal system to actively utilize Taekwondowon and spur urban development. Second, the regional ripple effects include the local economic consumption by the Taekwondo Promotion Foundation (TPF), purchasing local agricultural products by the TPF, and increasing income for local lodging and catering businesses generated by taekwondo events held at Taekwondowon. Third, and most importantly, Muju has been pursuing a transformation into a sustainable international tourism city by becoming the mecca for taekwondo. To achieve this goal, Taekwondowon has been taking some existing functions of Kukkiwon, and the MCO constructed the Taekwon Village, Taekwon Park, and Taekwon V Land throughout Muju. In addition, the social overhead capital necessary for a tourist destination, such as road expansion and a new express bus system between the international airport and Muju, has been reinforced. Furthermore, various tourism products using Taekwondowon have been provided to continue its city branding. In summary, it was found that Taekwondowon has played a pivotal role in Muju’s journey toward achieving sustainable development as the mecca for taekwondo. Full article

Improving the efficiency of family farms is of great significance to rural revitalization and agricultural modernization in China. In order to find out the development status and shortcomings of family farms in China, and put forward targeted policy recommendations to improve the efficiency of various family farms, this paper applies the DEA model to measure the efficiency of family farms from a micro perspective by using the field survey data of the national family farm demonstration bases of Wuhan and Langxi, China. In addition, the Tobit model is further applied to explore the factors that affect the efficiency of full sample family farms, as well as to compare and analyze the differences in the efficiency in different regions and of different operation types. The results show that the efficiency of family farms is low, the efficiency of family farms in Wuhan is higher than that in Langxi, and the efficiency of breeding family farms is higher than that of planting family farms and mixed family farms. Capital input, farmers’ education level, market channels, brand registration, fertilizer usage and financial credit have positively affected the efficiency of family farms, while government subsidies and natural disasters have had negative effects on it. Specially, the land operating area shows a U-shaped relationship with farm efficiency. The efficiency of planting family farms is positively affected by labor input, while that of breeding and mixed family farms rely more on capital input and financial credit instead. Full article