| 其他摘要 | The widespread use of solid fuels (including biomass fuels such as coal and firewood) is the main manifestation of farmers' energy poverty and remains one of the common challenges facing China. The use of solid fuels will emit a lot of substances that pollute the air, causing serious health risks. It has been highly concerned by academia, governments and international organizations. The energy consumption of residents is the terminal connection of energy consumption, which often directly and indirectly affects the energy consumption of departments, enterprises, and even the entire industry. However, compared with industrial energy consumption, the energy consumption of household residents is more scattered and relatively independent. , Leading to a long-term policy or the perception caused by the residents themselves have been seriously ignored. Therefore, by exploring the influencing factors of rural cooking energy consumption, this paper introduces the well-being index to study the impact of residents' well-being level on the green energy consumption behavior of rural residents, which is more helpful to understand the internal driving force of farmers' green energy consumption behavior change, and further improve the quality of life and living standards of rural residents.Different from the traditional demography, economics and psychology, This paper introduces a comprehensive index of well-being . The individual well-being of residents often represents the comprehensive indicators of their perception, emotion, life state and other dimensions, reflecting the overall quality of life of micro individuals. Studies have shown that there is a mutual promotion between personal well-being and the ecological environment, and green consumption is often an important measure to resolve the ecological environment. Therefore, studying the consumer's personal well-being level is of great significance to explore the green cooking energy consumption mechanism of rural residents.This article is based on the long-term large sample survey data-China Household Tracking Survey Project CFPS. First, it analyzes the current status of cooking energy use in rural areas in China, and then uses the coefficient of variation weighting method to construct the subjective and objective well-being indicators of rural residents Binary Logistic regression model explores the impact of rural residents ’subjective and objective well-being on green cooking energy consumption. The study found:1) The subjective and objective well-being of rural residents plays an important role in the decision to choose green cooking energy consumption. This conclusion is still true after excluding underage and middle-aged and elderly groups.2) Objective well-being has a significant positive effect on both the male group and the female group in choosing green cooking energy consumption. Subjective well-being only has a significant positive effect on the female group's choice of green cooking consumption.3) Well-being has significant regional differences in predicting green cooking energy consumption of rural residents. However, subjective well-being only has a significant positive effect on the consumption of green cooking by rural residents in the Northeast region.4) Younger female groups are more likely to implement green cooking consumption behavior.In order to further verify the above conclusions, this paper selected the residents of Hongniangou Village, Xinhui Town, Aohan Banner, Chifeng City, Inner Mongolia as the research object. The results basically verify the above main conclusions based on the national database.The above research helps to understand the driving factors for rural residents to choose green energy consumption, and provides guidance for rural residents' green energy consumption guidance policies. |
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