When my friends and relatives go solar, should I go solar too? —— Evidence from rural Sichuan province, China

Li, Yanjiao; Chen, Qing; Guo, Shili; Deng, Xin; Song, Jiahao; Xu, Dingde

doi:10.1016/j.renene.2022.12.119

Cited by 9 publications

(2 citation statements)

References 72 publications

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“…Sichuan Province has responded positively to the “double decarbonization” objective in terms of policy during recent years [ 47 ]. They optimally tried their best to vigorously promote energy savings, reduce energy consumption, and increase carbon sinks.…”

Section: Discussionmentioning

confidence: 99%

Studying regional low-carbon development: A case study of Sichuan Province in China

Sun,

Gao,

Liu

et al. 2024

PLoS ONE

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The unavoidable option for socially sustainable development is a low-carbon economy. One of the essential steps for China to attain high-quality development is reducing carbon emissions. It is necessary to realize low-carbon development in Sichuan, as it is not only an important economic zone but also an ecological protected area. The concurrent relationship among energy consumption, carbon emissions, and economic growth was examined in this study using the Tapio decoupling indicator, and the factors affecting energy consumption and carbon emissions in Sichuan were broken down using the logarithmic mean Divisia indicator (LMDI). The findings demonstrate a fundamental relative decoupling relationship between Sichuan’s energy use and carbon emissions. Analysis of energy consumption and carbon emissions in Sichuan Province from 2005 to 2020 shows distinct patterns. From 2005 to 2012, in 2014, and from 2016 to 2020, the relationship between energy use and carbon emissions was relatively decoupled, with decoupling values ranging between 0 and 1. Absolute decoupling occurred in specific years: 2010, from 2013 to 2018, and in 2020. These periods are characterized by economic growth alongside reductions in carbon emissions. Factors affecting energy consumption and carbon emissions were consistently analyzed, showing similar impacts throughout the study periods. We find that population and economic growth are the main driving forces of these effects. The effects of energy intensity and industrial structure mainly play restraining roles, and the latter has a slightly weaker effect than the former.

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Section: Discussionmentioning

confidence: 99%

Studying regional low-carbon development: A case study of Sichuan Province in China

Sun,

Gao,

Liu

et al. 2024

PLoS ONE

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show abstract

“…The provincial government actively carried out the development projects of pilot rooftopdistributed PV and PV poverty alleviation. By the end of September 2022, the province had reached 2.044 million KW capacity of cumulated grid-connected PV [70]. Multistage random and purposeful sampling techniques were used to approach the representative sample.…”

Section: Study Area and Sampling Techniquesmentioning

confidence: 99%

Adoption of Renewable Energy Technology on Farms for Sustainable and Efficient Production: Exploring the Role of Entrepreneurial Orientation, Farmer Perception and Government Policies

Wang

Haq

et al. 2023

Sustainability

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Traditional energy consumption raises greenhouse gas emissions, which is a major concern in China. Agricultural energy consumption accounts for one third of China’s greenhouse gas emissions. Thus, current patterns of energy consumption on farms are both unsustainable and inadequate since rural communities in emerging nations have limited access to energy sources. This study explores the factors affecting the adoption of renewable energy on farms and examines the effect of such adoption on technical efficiency. The data were collected from 801 farmers selected through a multistage random and purposive sampling method in a face-to-face survey in China. Logistic regression, data envelopment analysis and propensity score matching were used to analyze the data. The descriptive statistics depicted that renewable energy technology was adopted by more than 25% of the total farmers. The logistic regression results depicted that education, farm size, government financial support, perceptions of renewable energy (usefulness, cost effectiveness, environmental friendliness and information availability) and farmer entrepreneurial orientation dimensions (risk-taking, innovativeness and pro-activeness) all significantly affected the adoption of renewable energy technology on farms. Farmers who perceived renewable energy as more useful and cost-effective than conventional energy technology were 1.89 and 2.13 times more likely to adopt it on their farms, respectively. Farmers who perceived renewable energy as more environmentally friendly than traditional energy technology were 1.54 times more likely to use it on their farms. The findings also showed that innovative farmers were 2.24 times more likely to adopt renewable energy technology on their farms. The propensity score matching results showed that the technical efficiency of adopters of renewable energy was 10% higher than that of nonadopters. The study suggests that agriculture must be transformed to fulfill the existing and forthcoming demand for food and energy in an impartial and ecologically sustainable manner.

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Towards Sustainable Agricultural Development: Integrating Small-Scale Farmers in China Through Agricultural Social Services

Yang,

Lian,

Zhang

et al. 2024

J Knowl Econ

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When my friends and relatives go solar, should I go solar too? —— Evidence from rural Sichuan province, China

Cited by 9 publications

References 72 publications

Studying regional low-carbon development: A case study of Sichuan Province in China

Studying regional low-carbon development: A case study of Sichuan Province in China

Adoption of Renewable Energy Technology on Farms for Sustainable and Efficient Production: Exploring the Role of Entrepreneurial Orientation, Farmer Perception and Government Policies

Towards Sustainable Agricultural Development: Integrating Small-Scale Farmers in China Through Agricultural Social Services

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