A Study on the Impact of Low-Carbon Technology Application in Agriculture on the Returns of Large-Scale Farmers

Impact of globalization on CO2 emission in the agricultural sector: case study of selected developed countries

The development of new technologies and the necessity to pay attention to sustainable development, on the one hand, and increasing the cultivated area to gain more product, on the other hand, have made the protection and improvement of the environment one of the most important concerns of policymakers. Accordingly, in recent years, extensive theoretical and empirical research has been conducted to find ways to improve the quality of the environment and its effective factors. In this regard, this paper assessed the impact of value-added agriculture and globalization on CO2 emission in the agricultural sector in selected developing countries, including Japan, Germany, the UK, France, Italy, South Korea, Spain, Netherlands, Switzerland, Sweden, and Australia. For this purpose, panel data over 1995-2017 and the random effects method were used. The results indicated that value-added agriculture and globalization had an inverse relationship with CO2 emission in the agricultural sector of developed countries. According to the results, it is recommended to reform infrastructures and optimize resource utilization by entering and promoting cleaner technologies, and furthermore attracting foreign investments, which are a part of criteria forming globalization.

Study on the influence mechanism of adoption of smart agriculture technology behavior

Smart agricultural (SA) technology has become a technological support for modern agriculture. By exploring the decision-making process and psychological motivation of farmers in adopting SA technology, it is conducive to achieving the popularisation of SA technology and promoting the modernisation of agriculture. Based on microscopic research data, a Structural Equation Model (SEM) is used to analyse the influencing factors and extent of cotton farmers' adoption of SA technologies, using Deconstructive Theory of Planned Behavior (DTPB) as the analytical framework. This was combined with in-depth interviews to further reveal the motivations and influencing mechanisms of cotton farmers' adoption of SA technologies. The results show that under the behavioural belief dimension, cotton farmers value the positive effect of perceived usefulness even though the risk of the technology itself has a dampening effect on adoption intentions. Under the normative belief dimension, superior influence influenced the willingness to adopt SA technologies to a greater extent than peer influence. Under the control belief dimension, factors such as self-efficacy and information channels influence willingness to adopt technology and behaviour. In addition, behavioural attitudes, subjective norms, and perceived behavioural control all contribute to cotton farmers' willingness to adopt SA technologies, and can also influence behaviour directly or indirectly through willingness to adopt. Policy and technology satisfaction positively moderate the transition from willingness to behaviour. Therefore, preferential policies are proposed to reduce the cost of adopting SA technologies; to continuously improve the level of SA technologies; to establish SA technology test plots to provide a reference base; and to increase knowledge training on SA and expand access to information.