Study on the Influence Factors of Sustainable Energy Use Behavior
DOI:
https://doi.org/10.62051/ijnres.v6n1.05Keywords:
Willingness to use sustainable energy; Residential photovoltaic systems (PV); Perception; Social impact.Abstract
China is both the world's largest clean energy market and the world's largest polluter. However, nearly a third of the world's CO2 emissions also come from China. The Chinese government recognizes the importance of changing household lifestyles and energy consumption patterns to achieving the "two-carbon goal". Therefore, vigorously promote residential photovoltaic power generation (PV) and the transition from traditional fossil fuels to renewable energy sources (such as solar power generation). This paper studies the influencing factors on residents' willingness to conduct sustainable energy use.
References
[1]Abd El-Hamid, H. T., Caiyong, W., Hafiz, M. A., & Mustafa, E. K. (2020). Effects of land use/land cover and climatic change on the ecosystem of North Ningxia, China. Arabian Journal of Geosciences, 13(20), 1099.
[2]adoption in Pakistan: a structural equation modeling approach. Environmental Science and Pollution Research, 28, 432–445.
[3]Ahmed, M., Shuai, C., & Ahmed, M. (2023). Analysis of energy consumption and greenhouse gas emissions trend in China, India, the USA, and Russia. International Journal of Environmental Science and Technology, 20(3), 2683-2698.
[4]Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control: From cognition to behavior (pp. 11-39). Springer.
[5]Ali, S., Poulova, P., Akbar, A., Javed, H. M. U., & Danish, M. (2020). Determining the influencing factors in the adoption of solar photovoltaic technology in Pakistan: A decomposed technology acceptance model approach. Economies, 8(4), 108.
[6]Bhatia, T., Bharathy, G., & Prasad, M. (2024). A Targeted Review on Revisiting and Augmenting the Framework for Technology Acceptance in the Renewable Energy Context [Review]. Energies, 17(8), Article 1982. https://doi.org/10.3390/en17081982
[7]Brock, A., Sovacool, B. K., & Hook, A. (2021). Volatile photovoltaics: green industrialization, sacrifice zones, and the political ecology of solar energy in Germany. Annals of the American Association of Geographers, 111(6), 1756-1778.
[8]BANDIERA O，ＲASUL I． Social networks and technology adoption innorthern Mozambique［J］． The economic journal，2006，116 ( 514) : 869 －902．
[9]Chen Zeyu. (2020).Research on Driving Model of Low Carbon Behavior of Residents in Low Carbon Community Construction．Master's degree thesis, North China Electric Power University
[10]Chen Guoqing. (2020).Research on Influencing Factors of Electric Vehicle Purchase Intention Based on Technology Acceptance Model
[11]Colenbrander, S., Gouldson, A., Roy, J., et al. (2017) Can Low-Carbon Urban Development Be Pro-Poor? The Case of Kolkata, India. Environment and Urbanization, 29, 139-158.
[12]Canadell, J. G., Monteiro, P. M., Costa, M. H., Cotrim da Cunha, L., Cox, P. M., Eliseev, A. V., Henson, S., Ishii, M., Jaccard, S., & Koven, C. (2023). Intergovernmental Panel on Climate Change (IPCC). Global carbon and other biogeochemical cycles and feedbacks. In Climate change 2021: The physical science basis. Contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change (pp. 673-816). Cambridge University Press.
[13]Chen, X. H., Tee, K., Elnahass, M., & Ahmed, R. (2023). Assessing the environmental impacts of renewable energy sources: A case study on air pollution and carbon emissions in China. Journal of environmental management, 345, 118525.
[14]Collier, S. H., House, J. I., Connor, P. M., & Harris, R. (2023). Distributed local energy: assessing the determinants of domestic-scale solar photovoltaic uptake at the local level across England and Wales. Renewable and Sustainable Energy Reviews, 171, 113036.
[15]Du, L., Gong, F., Zeng, Y., Ma, L., Qiao, C., & Wu, H. (2021). Carbon use efficiency of terrestrial ecosystems in desert/grassland biome transition zone: A case in Ningxia province, northwest China. Ecological indicators, 120, 106971.
[16]Entele, B. R. (2020). Analysis of households' willingness to pay for a renewable source of
[17]electricity service connection: evidence from a double-bounded dichotomous choice survey in rural Ethiopia. Heliyon, 6(2).
[18] Eslami, H., Najem, S., Abi Ghanem, D., & Ahmad, A. (2021). The potential of urban distributed solar energy in transition economies: The case of Beirut city. Journal of Environmental Management, 285, 112121.
[19]Gao, H., Liu, X., Wei, L., Li, X., & Li, J. (2023). Dynamic simulation of the water-energy-food nexus (WEFN) based on a new nexus in arid zone: A case study in Ningxia, China. Science of The Total Environment, 898, 165593.
[20]Gârdan, I. P., Micu, A., Paștiu, C. A., Micu, A. E., & Gârdan, D. A. (2023). Consumers’ attitude towards renewable energy in the context of the energy crisis. Energies, 16(2), 676.
[21]Geels, F. W., Schwanen, T., Sorrell, S., Jenkins, K., & Sovacool, B. K. (2018). Reducing energy demand through low carbon innovation: A sociotechnical transitions perspective and thirteen research debates. ENERGY RESEARCH & SOCIAL SCIENCE, 40, 23-35.
[22]Gong, X., Ye, Z., Liu, K., & Wu, N. (2020). The effects of live platform exterior design on sustainable impulse buying: exploring the mechanisms of self-efficacy and psychological ownership. Sustainability, 12(6), 2406.
[23]Guo, S., Wang, Y., Hou, H., Wu, C., Yang, J., He, W., & Xiang, L. (2020). Natural capital evolution and driving forces in energy-rich and ecologically fragile regions: A case study of Ningxia province, China. Sustainability, 12(2), 562.
[24]Gutman, J. (1982). A means-end chain model based on consumer categorization processes. Journal of marketing, 46(2), 60-72.
[25]Heib, S., Kortsch, T., & Hildebrand, J. (2024). A question of norms and control—factors shaping sustainable energy behavior: a study among various university stakeholders. Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO), 1-16.
[26]Hu, X., Wu, N., & Chen, N. (2021). Young people’s behavioral intentions towards low-carbon travel: Extending the theory of planned behavior. International Journal of Environmental Research and Public Health, 18(5), 2327.
[27]Huang, W., & Li, J. (2022). The coupling relationship between urbanization and carbon emissions from land use in Ningxia. Frontiers in Environmental Science, 10, 927798.
[28]Hu Yan swallow. (2022). The Impact of Renewable Energy Development on Carbon Emissions, Economic Growth and Employment in China Doctoral dissertation, Central University of Finance and Economics.
[29]Irfan1, M., & Li4, Z.-Y. Z. A. R. I. O. H. (2021). Consumers’ intention-based influence factors of renewable energy
[30]Irfan, M., Hao, Y., Ikram, M., Wu, H., Akram, R., & Rauf, A. (2021). Assessment of the public acceptance and utilization of renewable energy in Pakistan. Sustainable Production and Consumption, 27, 312-324.
[31]Irfan, M., Zhao, Z.-Y., Ahmad, M., & Mukeshimana, M. C. (2019). Solar energy development in Pakistan: Barriers and policy recommendations. Sustainability, 11(4), 1206.
[32]Irfan, M., Zhao, Z.-Y., Li, H., & Rehman, A. (2020). The influence of consumers’ intention factors on willingness to pay for renewable energy: a structural equation modeling approach. Environmental Science and Pollution Research, 27, 21747-21761.
[33]Irfan, M., Zhao, Z.-Y., Rehman, A., Ozturk, I., & Li, H. (2021). Consumers’ intention-based influence factors of renewable energy adoption in Pakistan: a structural equation modeling approach. Environmental Science and Pollution Research, 28, 432-445.
[34]Iuliana Petronela Gârdan, Adrian Micu, Carmen Adina Pas,tiu , Angela Eliza Micu, & Gârdan, a. D. A. (2023). Consumers' Attitude towards Renewable Energy in the Context of the Energy Crisis. Energies, 16(2). https://doi.org/DOI10.3390/en16020676
[35]Izam, N. S. M. N., Itam, Z., Sing, W. L., & Syamsir, A. (2022). Sustainable development perspectives of solar energy technologies with focus on solar Photovoltaic—A review.
[36]Feng Guiju, Qi Zhenhong, Liu Zhe, Liu Yuxiao. (2022). Study on farmers' willingness to adopt ecological agriculture technology based on TAM-TPB theory —— Take rice and shrimp co-cropping technology as an example. The World of Agriculture (03),
[37]Gu Fangyuan. (2022). Research on the willingness and influencing factors of farmers in Aksu region, Xinjiang, Tarim University.Hu Huijing. (2022). RESEARCH ON THE INFLUENCE FACTORS OFRESIDENTS' LOW-CARBON CONSUMPTIONBEHAVIOR IN BEIJING
[38]Wittenberg L, Bloebaum A., Matthies E. Environmental motivations for energy use in PV households: Proposal of a modified norm activation model for the specific context of PV households[J]. Journal of Environmental Psychology, 2018, 55: 110-120.
[39]Wang Yifan. (2022). Master's dissertation, China University of Mining and Technology). Wang Danyang. (2022). Research on Carbon Emission of Old Residential Areas Renovation Master's degree thesis, Shandong Jianzhu University.
[40]Wang Y. Li F. Chen X C, Hu Y H, Hu P P, Yang J X.(2019). Characterisics and influencing factors of carthon emission from typical community household consumption: a case of Beijing.Journal of Ecology(21),
[41]Victoria Marion Linda Ncube June (2022). Study on influencing factors of solar photovoltaic panels’purchaseintention in Zimbabwe
[42]Rahmaningtyas, W., Joyoatmojo, S., Kristiani, K., & Murwaningsih, T. (2023). Building a Sustainable Future: Unraveling the Link between Environmental Awareness and the Cultivation of Employability and Green skills-A Literature Review. IOP Conference Series: Earth and Environmental Science,
[43]Roy, S., & Mohapatra, S. (2022). Problems of adoption of solar power and subsequent switching behavior: an exploration in India [Article]. INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 16(1), 78-94. https://doi.org/10.1108/ijesm-08-2020-0015
[44]Qi, C., Meng, J., Che, B., Kang, J., Zhao, Y., & Hua, Z. (2023). Transition to a zero-carbon energy system in the Ningxia area: integrated CO2 reduction measures from the multi-level perspective. Frontiers in Energy Research, 11, 1305885.
[45]Scheller, F., Doser, I., Schulte, E., Johanning, S., McKenna, R., & Bruckner, T. (2021). Stakeholder dynamics in residential solar energy adoption: findings from focus group discussions in Germany. ENERGY RESEARCH & SOCIAL SCIENCE, 76, 102065.
[46]Scheller, F., Doser, I., Sloot, D., McKenna, R., & Bruckner, T. (2020). Exploring the role of stakeholder dynamics in residential photovoltaic adoption decisions: A synthesis of the literature. Energies, 13(23), 6283.
[47]Schulte, E., Scheller, F., Sloot, D., & Bruckner, T. (2022). A meta-analysis of residential PV adoption: the important role of perceived benefits, intentions and antecedents in solar energy acceptance. ENERGY RESEARCH & SOCIAL SCIENCE, 84, 102339.
[48]Shah, N., Park, W. Y., & Ding, C. (2021). Energy Reports.
[49]Shali Wang 1, +®, Ruohan Zhang 1, +, Xiaodong Guo 3, Haijing Ma 4, jiaxi Wu 1D, Ying Wang 1,*, & and Shuangshuang Fan 1, *. (2023). Does the pro-environmental behavior of household PV installation contribute to the shaping of users’ green purchasing behavior?—Evidence from China. Behavioral Sciences, 13(7), 612. https://doi.org/ https://doi.org/10.3390/bs13070612
[50]Shaw, N., & Sergueeva, K. (2019). The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value. International journal of information management, 45, 44-55.
[51]Si, L., Wang, P., & Cao, D. (2024). Towards sustainable development goals: Assessment of wind and solar potential in northwest China. Environmental Research, 252, 118660.
[52]Sang, Yew-Ngin, and Hussain Ali Bekhet. Modelling electric vehicle usage intentions: anempirical study in Malaysia[J]. Journal of Cleaner Production 92 (2015): 75-83.)
[53]Tanveer, A., Zeng, S., Irfan, M., & Peng, R. (2021). Do perceived risk, perception of self-efficacy, and openness to technology matter for solar PV adoption? An application of the extended theory of planned behavior. Energies, 14(16), 5008.
[54]TANG Shu-juan, WANGJia-ying, LIU An-di et al.(2023).Farmers’Willingness to Adopt Conservation Tillage Technology Based on UTAUT Model. Anhui Agricultural Science (15),
[55]Tian Danyu and Wang Yu. (2020). Research report on low-carbon development in Inner Mongolia and Ningxia Hui Autonomous Region. China Economic and Trade Guide (middle) (02),
[56]Judson E, Fitch-Roy O, Pownall T, et al. The centre cannot (always) hold: Examining pathways towards energy system de-centralisation[J]. Renewable & Sustainable Energy Reviews, 2020, 118: 109499
[57]Jin Rongrong. (2022).Study on Impact of Perceived Value and Environmental Regulation on Farmers' Adoption of Clean Heating. Doctoral dissertation, Northwest A & F University
[58]Jaciow, M., Rudawska, E., Sagan, A., Tkaczyk, J., & Wolny, R. (2022). The Influence of Environmental Awareness on Responsible Energy Consumption—The Case of Households in Poland. Energies, 15(15), 5339.
[59]Jünger, M., & Mietzner, M. (2020). Banking goes digital: The adoption of FinTech services by German households. Finance Research Letters, 34, 101260.
[60]KANG Jiguang ,JU Jiehua', ZHAO Yanmin'，ZHAO Yutong"，BAI Xuetao, ZHAO Yingru', JING Rui.(2022). Integrated Energy System Optimization Considering Energy Communities with Prosumers.China electric power
[61]Khan, A. N. (2024). Elucidating the effects of environmental consciousness and environmental attitude on green travel behavior: Moderating role of green self‐efficacy. Sustainable Development, 32(3), 2223-2232.
[62]Kulviwat, S., Bruner II, G. C., & Al-Shuridah, O. (2009). The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption. Journal of Business research, 62(7), 706-712.
[63]Kwan, C. L. (2012). Influence of local environmental, social, economic and political variables on the spatial distribution of residential solar PV arrays across the United States. Energy Policy, 47, 332-344.
[64]Lei, W., Bai-Chao, Z., Ying, S., Zhen-Yu, H., & Bo, L. (2022). Interpretation of the IPCC AR6 on the impacts and risks of climate change. Advances in Climate Change Research, 18(4), 389.
[65]Li, H. X., Edwards, D. J., Hosseini, M. R., & Costin, G. P. (2020). A review on renewable energy transition in Australia: An updated depiction. Journal of Cleaner Production, 242, 118475.
[66]Li, J., Chen, C.-f., Walzem, A., Nelson, H., & Shuai, C. (2022). National goals or sense of community? Exploring the social-psychological influence of household solar energy adoption in rural China. ENERGY RESEARCH & SOCIAL SCIENCE, 89, 102669.
[67]Liu, M., Yang, X., Wen, J., Wang, H., Feng, Y., Lu, J., Chen, H., Wu, J., & Wang, J. (2023). Drivers of China's carbon dioxide emissions: Based on the combination model of structural decomposition analysis and input-output subsystem method. Environmental Impact Assessment Review, 100, 107043.
[68]Liu, X., Cifuentes-Faura, J., Zhao, S., & Wang, L. (2023). Government environmental attention and carbon emissions governance: Firm-level evidence from China. Economic Analysis and Policy, 80, 121-142.
[69]Lucchi, E., & Giovanna, F. (2020). Acceptance of Building Integrated Photovoltaic (BIPV) in Heritage Buildings and Landscapes: Potentials, Barrier and Assessment Criteria. In REHABEND 2020. Construction Pathology, Rehabilitation Technology and Heritage Management.
[70]Lucchi, E., Lopez, C. P., & Franco, G. (2020). A conceptual framework on the integration of solar energy systems in heritage sites and buildings. IOP Conference Series: Materials Science and Engineering,
[71]Li LAN, Wang Heng, Huang Jiaxin. (2021). Research status and prospect of carbon neutrality in China and abroad —— bibliometric analysis based on CiteSpace. Forestry economy (10),
[72]Liping D., Shuai C., Li W., Qiong Y., Guo Q. Empirical study on the public's cognition and willingness to adopt solar photovoltaic power generation based on a SEM Model[J]. Resources Science, 2015, 37: 1414-1423.
[73]Li Siyu Yuan Qinjian,(2020),UTAUT and Its Application and Prospect in the Field of Information System Ｒesearch. Modern information, (10):168-177.
[74]Liu Fang. (2022). Master's dissertation on dynamic evolution of comprehensive energy adoption, Beijing University of Information Technology University.
[75]Li Xiaoyu. (2022).Research on the characteristics of living carbonemissions of residents in high-density residential communities in Beijing，Northern University of Technology
[76]Liu Hui. (2022). The low-carbon construction method of future communities —— Take the northern coal area as an example. Chinese Building Decoration (22),
[77]Ma Yongxiang. (2022). Green chemical engineering and process to promote energy conservation and emission reduction in the chemical industry. Industrial Innovation Research (08),
[78]Mundaca L., Samahita M. What drives home solar PV uptake? Subsidies, peer effects and visibility in Sweden[J]. Energy Research & Social Science, 2020, 60: 101319.
[79]Mahmudul, H. M., Rasul, M., Akbar, D., Narayanan, R., & Mofijur, M. (2021). A comprehensive review of the recent development and challenges of a solar-assisted biodigester system. Science of The Total Environment, 753, 141920.
[80]Masson-Delmotte, V., Zhai, P., Pörtner, H.-O., Roberts, D., Skea, J., & Shukla, P. R. (2022). Global Warming of 1.5 C: IPCC special report on impacts of global warming of 1.5 C above pre-industrial levels in context of strengthening response to climate change, sustainable development, and efforts to eradicate poverty. Cambridge University Press.
[81]Meehl, G. A. (2023). The role of the IPCC in climate science. In Oxford research encyclopedia of climate science.
[82]Müller, L., Kühl, M., & Kuhl, S. J. (2023). Climate change and health: Changes in student environmental knowledge and awareness due to the implementation of a mandatory elective at the Medical Faculty of Ulm? Gms Journal for Medical Education, 40(3). ://WOS:000996342700014
[83]Nguyen, X. H., Nguyen, T. T., Anh Dang, T. H., Dat Ngo, T., Nguyen, T. M., & Anh Vu, T. K. (2024). The influence of electronic word of mouth and perceived value on green purchase intention in Vietnam. Cogent Business & Management, 11(1), 2292797.
[84]Yang Lijun, Wang Guanran, Tian Wenxu and Tan Zhongfu. (2021). Development of renewable energy power carbon neutral —— complex system analysis. The Information and Management Research Study (06),
[85]Yu Shiwang, Zhang Qi, Zheng Shuangqi. (2020). Study on the Influence of Energy Saving Consciousness and Lifestyle on Domestic Carbon Emission. Urban residence (11),
[86]Yuan, X., Zuo, J., & Ma, C. (2011). Social acceptance of solar energy technologies in China—End users’ perspective. Energy Policy, 39(3), 1031-1036.
[87]Valente, T. W., & Rogers, E. M. (1995). The origins and development of the diffusion of innovations paradigm as an example of scientific growth. Science communication, 16(3), 242-273.
[88]Van der Kam, M., Meelen, A., Van Sark, W., & Alkemade, F. (2018). Diffusion of solar photovoltaic systems and electric vehicles among Dutch consumers: Implications for the energy transition. ENERGY RESEARCH & SOCIAL SCIENCE, 46, 68-85.
[89]Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178.
[90]VENKATESH V，MORRIS M G,DAVIS G B,et al. User acceptance of information technology: Toward a unified view [J].MIS quarterly, 2003,27(3):425-478.
[91]Wang, S., Wang, J., Lin, S., & Li, J. (2019). Public perceptions and acceptance of nuclear energy in China: The role of public knowledge, perceived benefit, perceived risk and public engagement. Energy Policy, 126, 352-360.
[92]Wolske, K. S., Gillingham, K. T., & Schultz, P. W. (2020). Peer influence on household energy behaviours. Nature Energy, 5(3), 202-212.
[93]Woodruff, R. B. (1997). Customer value: the next source for competitive advantage. Journal of the academy of marketing science, 25, 139-153.
[94]Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of marketing, 52(3), 2-22.
[95]Zhao, S., Yu, L., & Zhang, Z. (2023). Photovoltaic supply chain and government subsidy decision-making based on China's industrial distributed photovoltaic policy: A power perspective. Journal of Cleaner Production, 413, 137438.
[96]Zou, Q., Zhao, J., Sun, Y., He, C., & Zhang, Z. (2022). Interprovincial differences in air pollution in the background of China’s carbon neutrality target. Sustainability, 14(10), 6200.
[97]Zhangchen. (2022). Analysis on influential factors of residents' willingness to participate in healthy city construction based on TPB-TAM integrated model. Occupational and Health (21).
[98]Zhang Honghong, Luo Jun, Xinyu. (2010). Empirical study on the influencing factors of the willingness to adopt innovative technology products. Scientific and Technological Management Research (10),
[99]Zhang Y., Song J., Hamori S. Impact of subsidy policies on diffusion of photovoltaic power generation[J]. Energy Policy, 2011, 39(4): 1958-1964.
[100](2021). The Opinions of the CPC Central Committee and The State Council on complete, accurate and Comprehensive Implementation of the New Development Concept to achieve carbon peak and carbon neutrality. (eds.)
[101]Zeng Wei, Xiong Junjie, Zhao Weizhe, Li Jia, Wang Wenye, Jiang Fei. (2022). "Policy and technology research on new energy consumption in smart communities under the carbon peaking and carbon neutrality strategy，Theory and Practice (04),
[102]Zhou Yibing. (2023). Discussion on carbon emission in new urban communities. The Green Building (03),
[103]Zhang Baofeng，Cai Linmei.(2022). Study on influencing factors of residents’low carbon consumption willingness based on TAM-TPB model. Coal Economic Research (05),
[104]Zhen Wei. (2022). Master dissertation on spatial and temporal change and driving factors of living energy consumption in Ningxia Residents, Ningxia University).
[105]Study on temporal and spatial changes and driving factors of residents' domestic energy consumption in Ningxia
[106]Zhu Xing. (2021). Resident Investment and Government Subsidy Strategy Research doctoral dissertation for household PV Projects, Hefei University of Technology).
[107]Zhong Jimin, Han Haoying. (2022). Domestic and foreign future community research based on metrology analysis of Cite Space software. The Urban Development Research Study (08),
[108]Zeng Wei, Xiong Junjie, Zhao Weizhe, Li Jia, Wang Wenye, Jiang Fei. (2022). Policy and technology research of new energy consumption in smart community under the goal of "double-carbon". Price Theory and Practice (04),
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Yanhui Tao, Ali Khatibi, Jacqueline Tham
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
