The synergistic effect of carbon performance and technological innovation on corporate financial performance.

In order to further implement the goal of "dual carbon" proposed by China's government, and promote energy enterprises to carry out low-carbon economic transformation, this paper takes listed companies in China's A-share energy industry from 2014 to 2019 as samples to conduct descriptive statistics, correlation test and regression analysis, and empirically studies the impact of carbon performance and technological innovation on financial performance of China's energy industry as well as their roles under different property rights. At the same time, the variables were delayed for one period to investigate the sustainability of carbon performance and technological innovation on financial performance and to weaken the endogeneity of the reverse causality between financial performance, carbon performance and technological innovation. The results show that good carbon performance and technological innovation in the energy industry can positively affect the financial performance of enterprises. During the research of interactive relationship, we find that carbon performance and technological innovation have synergistic effect on energy firm's financial performance, which means technology innovation can significantly positive to adjust the action of carbon performance on financial performance,and carbon performance at the same time can also be positive to adjust the action of technology innovation on financial performance. They mutually promote energy enterprise's financial performance. Further experimental research among different property- rights-owned enterprises, we found that the synergistic effects of carbon performance and technological innovation on corporate financial performance is much more significant in non-state-owned enterprises, possibly due to private firms' capital profit-seeking nature. The results will guide and inspire China's energy enterprises' low carbon development strategy formulation and implementation under the background of "dual carbon" goal.

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.

How indebted farmers perceive and address financial risk in environmentally degraded areas in Bangladesh.

In Bangladesh, the recent uncontrolled growth of industries near farmland and unplanned urbanization made the agricultural sector the most vulnerable and a massive threat to the food security of the country. Agricultural farms near to industrial zones face high production costs (poor air-water-soil quality, high labor cost) and low-profit margin (poor crop yield and crop loss due to frequent natural hazards). The government policy in this matter is not proper due to a lack of information. As a consequence, many of these farm owners adopt agricultural credit by themselves to manage the production cost. Basically, credit itself creates some other financial risks and the farmers needed to adopt different measures to handle these financial risks. In-depth research on this matter is important to improve the situation by providing relevant information that policymakers can plan an efficient policy framework. However, previous literature has overlooked this area of research. In this study, the researcher collected data on 400 rice farmers (debtors) from six different districts in greater Dhaka division (most degraded area in Bangladesh) and adopted probit model to analyze the influential factors affecting farmers' financial risk management adoption decision and to identify the correlations between these decisions. The empirical findings indicate that education, access to technologies, household income, savings, and distance from the industrial areas are the major factors that affect farmer's adoption choice and most of the farmers are risk-averse. Moreover, the adoption choice of one risk management tool may motivate farmers to adopt another.