Factors influencing energy requirements and CO2 emissions of households in Thailand: A panel data analysis
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DOI: 10.1016/j.enpol.2019.02.050
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- Lina Liu & Jiansheng Qu & Tek Narayan Maraseni & Yibo Niu & Jingjing Zeng & Lihua Zhang & Li Xu, 2020. "Household CO 2 Emissions: Current Status and Future Perspectives," IJERPH, MDPI, vol. 17(19), pages 1-19, September.
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- Yamei Chen & Lu Jiang, 2022. "Influencing Factors of Direct Carbon Emissions of Households in Urban Villages in Guangzhou, China," IJERPH, MDPI, vol. 19(24), pages 1-14, December.
- Chen, Peipei & Wu, Yi & Zhong, Honglin & Long, Yin & Meng, Jing, 2022. "Exploring household emission patterns and driving factors in Japan using machine learning methods," Applied Energy, Elsevier, vol. 307(C).
- Gui, Xuechen & Gou, Zhonghua, 2021. "Understanding green building energy performance in the context of commercial estates: A multi-year and cross-region analysis using the Australian commercial building disclosure database," Energy, Elsevier, vol. 222(C).
- Jakučionytė-Skodienė, Miglė & Krikštolaitis, Ričardas & Liobikienė, Genovaitė, 2022. "The contribution of changes in climate-friendly behaviour, climate change concern and personal responsibility to household greenhouse gas emissions: Heating/cooling and transport activities in the Eur," Energy, Elsevier, vol. 246(C).
- Xie, Jun & Zhou, Shaojie & Teng, Fei & Gu, Alun, 2023. "The characteristics and driving factors of household CO2 and non-CO2 emissions in China," Ecological Economics, Elsevier, vol. 213(C).
- Xin Li & Xiaoqiong He & Xiyu Luo & Xiandan Cui & Minxi Wang, 2020. "Exploring the characteristics and drivers of indirect energy consumption of urban and rural households from a sectoral perspective," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(5), pages 907-924, October.
- Xing, Peixue & Wang, Yanan & Ye, Tao & Sun, Ying & Li, Qiao & Li, Xiaoyan & Li, Meng & Chen, Wei, 2024. "Carbon emission efficiency of 284 cities in China based on machine learning approach: Driving factors and regional heterogeneity," Energy Economics, Elsevier, vol. 129(C).
- Lei, Mingyu & Cai, Wenjia & Liu, Wenling & Wang, Can, 2022. "The heterogeneity in energy consumption patterns and home appliance purchasing preferences across urban households in China," Energy, Elsevier, vol. 253(C).
- Mustapha A. Sadiq & John K. M. Kuwornu & Ramatu M. Al-Hassan & Suhiyini I. Alhassan, 2019. "Assessing Maize Farmers’ Adaptation Strategies to Climate Change and Variability in Ghana," Agriculture, MDPI, vol. 9(5), pages 1-17, April.
- Iania, Leonardo & Algieri, Bernardina & Leccadito, Arturo, 2022. "Forecasting total energy’s CO2 emissions," LIDAM Discussion Papers LFIN 2022003, Université catholique de Louvain, Louvain Finance (LFIN).
- Xueting Jin & Yu Li & Dongqi Sun & Jinzhou Zhang & Ji Zheng, 2019. "Factors Controlling Urban and Rural Indirect Carbon Dioxide Emissions in Household Consumption: A Case Study in Beijing," Sustainability, MDPI, vol. 11(23), pages 1-21, November.
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Keywords
Energy requirements; CO2 emissions; Panel data analysis; Thailand;All these keywords.
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