- Energy and Environment Impacts
- Climate change and permafrost
- Urban Heat Island Mitigation
- Energy, Environment, and Transportation Policies
- Ideological and Political Education
- Cryospheric studies and observations
- Building Energy and Comfort Optimization
- Energy, Environment, Economic Growth
- Smart Materials for Construction
- Thermal Radiation and Cooling Technologies
- Wind and Air Flow Studies
- E-commerce and Technology Innovations
- Microfinance and Financial Inclusion
- Microplastics and Plastic Pollution
- Aerogels and thermal insulation
- Entrepreneurship Studies and Influences
- Spacecraft and Cryogenic Technologies
- Natural Resources and Economic Development
- Sharing Economy and Platforms
- CO2 Sequestration and Geologic Interactions
- Air Quality and Health Impacts
- Healthcare professionals’ stress and burnout
- Innovation and Socioeconomic Development
- Methane Hydrates and Related Phenomena
- Emotional Intelligence and Performance
Zhanjiang Experimental Station
2025
Sichuan University
2023-2025
Guangxi University
2016-2024
Harbin Institute of Technology
2022-2023
Sichuan Agricultural University
2021-2023
Under the background of tighter resource and environmental constraints, whether how land transfer can promote green development agriculture has become a realistic question that needs to be answered urgently. This paper analyzes internal mechanism between agricultural production by using property rights theory sustainable theory. Taking data “investigation on household energy consumption development” in Sichuan Province 2022 as sample, it empirically impact OLS 2SLS models. The results show...
ABSTRACT The paper examines the impact of financial inclusion on farmers' well‐being and moderating role digital technology in this relationship rural areas Xizang, China. It relies transaction cost theory to equate utility with well‐being, using 2021 micro‐survey data from region address its objectives. findings reveal a positive well‐being. To examine technology, explores both internal external embedding technology. indicate that is greater than embedding. Additionally, provides evidence...
Pavement surface temperature is critical to the pavement design and development of cool pavements. There have been numerical models empirical predict temperature, but theoretical correlation about parameters such as solar irradiation, albedo, thermal inertia unclear. This study presents a model validates against experimental data. Eight concrete samples were prepared painted with differential albedo investigate influence on temperature. The exposed in an open space for 10 continuous days...
The United Nations (UN) has identified the promotion of cleaner energy and improving women's health as two important elements in achieving global sustainable development goals. However, impact household clean consumption on needs to be further analyzed improved based new methods, data, perspectives. This paper used data from 2018 China Health Retirement Longitudinal Study sample, Ordered Probit model, instrumental variable (IV) approach, conditional mixed process (CMP) method, mechanism...
Energy poverty due to rising energy demand is a matter of global concern. Therefore, examination the causes and development effective solutions are urgent concerns. Using survey data on livelihood in Tibetan farming pastoral areas 2019, this study applied logistic ordinary least squares models empirically investigate factors that influence Tibet. We found (1) unrelated age, gender, education, marital status, political village cadre experience, planting, or expenditures related religious...
Cleaner household energy for agricultural green production can significantly alleviate poverty and food security, thus contributing to global sustainable development. Using survey micro-data collected from Sichuan Province, the ordered probit model, OLS instrumental variables approach were applied empirical analysis. The results show that: (1) cleaner enhances farmer’s awareness improves levels, which is still significant after treating endogenous issues with conditional mixing process...
Improving well-being is a critical problem for worldwide social progress. Research on effects of clean household energy consumption great significance the realization United Nation's Sustainable Development Goals (SDGs). Due to multifaceted role in enhancing as sustainable development goal, it has attracted extensive academic attention and research but still needs be further refined through new perspectives. This paper uses data from 2018 China Health Retirement Longitudinal Study conduct an...
The impact of energy consumption on health has become a widely debated topic around the world. However, much current research this lacks theoretical basis. As result, paper employs both and empirical analysis to investigate household clean residents' health. First, based theories economics economics, believes that usage can improve residents. Then, sample for study is comprised data from 2018 China Health Retirement Longitudinal Study, Order Probit Model applied analysis. outcomes basic...
Based on the theory of educational ecology, this paper starts to analyze status quo imbalance in college English classroom Yunnan Minzu University (YMU) under background informationization, attempts put forward three principles abided process reconstruction, then mainly focuses reconstruction paths for so as provide some new ideas reform English, and eventually contributes sustainable development ecology.
This paper takes the Qingbo annual report of Communist Youth League WeChat public number colleges and universities in 2018 as research data, uses SPSS20.0 tool, factor analysis method, constructs multivariate regression model, puts forward theoretical hypothesis carries on empirical to university dissemination power, diligence ability user recognition influence factor; some countermeasures suggestions increase hot months, improve quality content output, speed up frequency originality, cost...
This paper takes the annual hottest tweets of Communist Youth League WeChat public number in 2018 as a sample, using content classification, formal school region, level, issue month, time explanatory variables. Through data set statistics, this analyzes relationship between variables and transmission power explained