Publications by authors named "Andi Cao"

Strengthening environmental governance and green low-carbon policies is a key measure to improve agriculture green total factor productivity and develop sustainable agriculture. Against this background, this study explores the relationship between agriculture green total factor productivity (AGTFP), environmental governance, and green low carbon policies based on panel data of 30 Chinese provinces from 2005 to 2019, and the system generalized method of moments model is adopted. The empirical results are as follows: (1) Environmental governance will not only directly affect AGTFP, but also indirectly affect AGTFP by influencing green technology innovation.

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Attention to health is on the rise with the global pandemic of COVID-19, especially in food security. Green food is viewed as a healthy, safe, and nutritious food, which plays a significant role in enhancing immunity. This study aimed to investigate how risk perception affects the consumption behavior of green food.

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Green control techniques support the concept of green plant protection, advocate for the safe and reasonable use of pesticides, and finally achieve the goal of controlling pests and diseases and protecting the environment. The purpose of this study is to explore the effect of risk perception of pests and diseases on farmers' usage intention of green control techniques. Based on 747 samples of tea farmers in Sichuan province, China, introducing the Unified Theory of Acceptance and Use of Technology (UTAUT) framework and using the Partial Least Square-Structural Equation Modeling (PLS-SEM) approach, this paper found that risk perception has a negative impact on behavioral intention.

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As a favorite means to promote the development of green agriculture, agricultural insurance can not only encourage farmers to adopt green production technology and improve production efficiency, but also achieve the purpose of reducing the input of chemicals to protect the environment. This article aims to study the dynamic relationship between agricultural insurance, air pollution, and agricultural green total factor productivity using the panel vector auto-regressive method (PVAR) and panel data of 30 provinces in China from 2005 to 2018. The empirical results show that there is a significant cross-sectional dependence and the co-integration relationship between agricultural insurance, air pollution, and agricultural green total factor productivity.

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With the global concern for carbon dioxide, the carbon emission trading market is becoming more and more important. An accurate forecast of carbon price plays a significant role in understanding the dynamics of the carbon trading market and achieving national emission reduction targets. Carbon prices are influenced by many factors, which makes carbon price forecasting a complicated problem.

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Pesticides play a significant role in increasing agricultural yields. However, the overuse of chemical pesticides on crops is a major challenge faced by China, which damages human health, threatens food security, and increases production costs. This paper provides empirical evidence on the relationship between crop insurance and pesticide use.

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Agricultural subsidies lead to changes in the use of chemical fertilizer by farmers. Using data from a household survey conducted annually by the Rural Economy Research Center of the Ministry of Agriculture of China from 2014 to 2018, Control Function (CF) approach and Heteroskedasticity-based identification strategy were employed to analyze the impact of agricultural subsidies on chemical fertilizer use by rice farmers. After addressing the problem of endogeneity, we found that agricultural subsidies have a significantly negative impact on the use of chemical fertilizer.

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Recently, severe haze pollution has not only threatened human health and food security, but also seems to have aggravated the unscientific use of pesticides by rice farmers in rural areas of China. Using original data on haze pollution across China, combined with rural household survey data collected from 2014 to 2018, we conducted a detailed empirical study on the effects of haze pollution on pesticide use by rice farmers based on the theory of risk aversion. The empirical results revealed that haze pollution with higher levels of PM positively impacted the use of chemical pesticides in rice cultivation.

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