A bibliometric analysis of sustainable agriculture: based on the Web of Science (WOS) platform.

The global trends of sustainable agriculture (SA) have expanded dramatically through many scholarly studies in this area. Many literary works have focused on several aspects of sustainable agriculture (SA), such as the effectiveness of pesticide management, impacts on cultivation and enhancement, quantifying with soil, water, and air, agro-ecological activities, ecological aspects, and other areas of focus. The review offers a structured bibliometric and network evaluation that will profoundly observe the recent trends of SA, which other studies in this field have not comprehensively analyzed before. The study's prime objectives are to investigate the progress, trends and themes, and provide a comprehensive mapping of the field of sustainable agriculture. The study utilizes the Web of Science core collection database to search, filter, and extract the published article from 1992-2020. The review commences by exploring over 3000 journal articles, those then filtered into some well-recognized matrix of impacts and published by impactful journals, institutions, and authors. The results indicate a stable growth in publications since 2006, with a sharp improvement from 2010. Thematic assessment of key concepts by exploring the abstract discovered a robust emphasis on quantitative resource associations within a strong subjective focus with farm capacities and inner-sectorial dominations. We reveal how the outcome may assist the sectors to facilitate better understandings and comprehend the challenging transitions based on brainstorming to action formulation.

Evaluating the roles of the farmer's cooperative for fostering environmentally friendly production technologies-a case of kiwi-fruit farmers in Meixian, China.

The agricultural cooperative may significantly impact the adoption of environmentally friendly production technologies, which eventually help the farmers with better living standards and productivity. However, critical evaluation of how and to what extent the cooperative organization's participation leads the farmer's adoption of environmentally friendly technology (EFT) is relatively unclear. Thus, to critically explore the knowledge gap, the study evaluates the effects of cooperative participation towards adopting environmentally friendly production technologies based on the theory of planned behavior (TPB). The key variables used in the study have been extracted from an extensive literature investigation, while the empirical data has been collected from October to December 2020 from 292 kiwi-fruit farmers within the Shaanxi province of China. Simultaneously, the partial least square of structural equation modeling (PLS-SEM) tools has been utilized to craft the final assessment. The factor loadings of all three latent variables have been statistically significant and interrelated for quantifying the proposed model. The statistically proven framework portrayed that cooperative organizations' participation positively impacts and shapes behavioral factors and facilitates the adoption of environmentally friendly production technologies. The study found the social structure like China, the impacts of cooperation could be crucial. As cooperative participation is an ample predictor for facilitating environmentally friendly technologies, the government should broaden the technical supports, and agricultural extension should also provide extended training for a smooth transition of the cooperatives.

Evaluation of the determinants of food security within the COVID-19 pandemic circumstances- a particular case of Shaanxi, China.

BACKGROUND: Agricultural food production and distribution industries may play a vital role in determining the current conditions of any country's food security and sustainable development goals. This paper examined the determinants of food security within three distinct aspects (effective utilization of food, food availability, and food access) within the COVID-19 epidemic situation. METHODS: The qualitative set-up of the study comprised with the identification of drivers by critical analysis of published papers and discussion held with some practitioners. The quantitative data used in this research were collected from a survey covering the agricultural food supply industry in China (Shaanxi Province). The survey was conducted from November to December 2020 and we mainly focus on three aspects of food security (effective utilization of food, food availability, and food access). The core analytical assumptions were made by employing exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM). RESULTS: After analyzing the data collected from 257 agricultural food productions and distribution personnel along with the hypothesis testing, it found that the determinants of the effective utilization of food were positively related to the determinants of food access (ß = 0.291, p = 0.029) and food availability (ß = 0.298, p = 0.011), and the determinants of food availability were positively related to the food access determinants (ß = 0.128, p = 0.002). The association and variance values between food availability and food access were 0.659 and 0.407; the association and variance values between for effective utilization of food and food availability aspects were 0.465 and 0.298, and between effective utilization of food and economy were 0.508 and 0.475. CONCLUSION: The study critically evaluated the interconnection among the crucial determinants within the banner of three dimensions, which will act as a major contribution to existing literature. This research will help the government and industry to develop policies and strategies for the successful implementation of all the associated determinants of food security in terms of the epidemic situation.