Demographic influences on China’s residential electricity demand: the role of ageing and single-person households

References

• Ahn, S. C., & Schmidt, P. (1995). Efficient estimation of models for dynamic panel data. Journal of Econometrics, 68(1), 5–27. https://doi.org/10.1016/0304-4076(94)01641-C
   Web of Science ®Google Scholar
• Anderson, T. W., & Hsiao, C. (1982). Formulation and estimation of dynamic models using panel data. Journal of Econometrics, 18(1), 47–82. https://doi.org/10.1016/0304-4076(82)90095-1
   Web of Science ®Google Scholar
• Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277–297. https://doi.org/10.2307/2297968
   Web of Science ®Google Scholar
• Blázquez, L., Boogen, N., & Filippini, M. (2013). Residential electricity demand in Spain: New empirical evidence using aggregate data. Energy Economics, 36, 648–657. https://doi.org/10.1016/j.eneco.2012.11.010
   Web of Science ®Google Scholar
• Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. https://doi.org/10.1016/S0304-4076(98)00009-8
   Web of Science ®Google Scholar
• Brounen, D., Kok, N., & Quigley, J. M. (2012). Residential energy use and conservation: Economics and demographics. European Economic Review, 56(5), 931–945. https://doi.org/10.1016/j.euroecorev.2012.02.007
   Web of Science ®Google Scholar
• Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics: Methods and applications. Cambridge University Press.
   Google Scholar
• Chen, Q., Kamran, S. M., & Fan, H. (2019). Real estate investment and energy efficiency: Evidence from China’s policy experiment. Journal of Cleaner Production, 217, 440–447. https://doi.org/10.1016/j.jclepro.2019.01.274
   Web of Science ®Google Scholar
• Chen, F., & Liu, G. (2009). Population aging in China. In P. Ulenberg (Ed.), International handbook of population aging (pp. 157–172). Springer.
   Google Scholar
• Claudy, M., & Michelsen, C. (2016). Housing market fundamentals, housing quality and energy consumption: Evidence from Germany. The Energy Journal, 37(4), 25–43. https://doi.org/10.5547/01956574.37.4.mcla
   Web of Science ®Google Scholar
• Du, G., Lin, W., Sun, C., & Zhang, D. (2015). Residential electricity consumption after the reform of tiered pricing for household electricity in China. Applied Energy, 157, 276–283. https://doi.org/10.1016/j.apenergy.2015.08.003
   Web of Science ®Google Scholar
• Durmaz, T., Pommeret, A., & Tastan, H. (2020). Estimation of residential electricity demand in Hong Kong under electricity charge subsidies. Energy Economics, 88, 104742. https://doi.org/10.1016/j.eneco.2020.104742
   Web of Science ®Google Scholar
• Estiri, H., & Zagheni, E. (2019). Age matters: Ageing and household energy demand in the United States. Energy Research & Social Science, 55, 62–70. https://doi.org/10.1016/j.erss.2019.05.006
   Web of Science ®Google Scholar
• Fan, J. L., Zhang, Y. J., & Wang, B. (2017). The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis. Renewable and Sustainable Energy Review, 75, 220–233. https://doi.org/10.1016/j.rser.2016.10.066
   Web of Science ®Google Scholar
• Filippini, M., & Pachauri, S. (2004). Elasticities of electricity demand in urban Indian households. Energy Policy, 32(3), 429–436. https://doi.org/10.1016/S0301-4215(02)00314-2
   Web of Science ®Google Scholar
• Hamza, N., & Gilroy, R. (2011). The challenge to UK energy policy: An ageing population perspective on energy saving measures and consumption. Energy Policy, 39(2), 782–789. https://doi.org/10.1016/j.enpol.2010.10.052
   Web of Science ®Google Scholar
• Hayakawa, K. (2007). Small sample bias properties of the system GMM estimator in dynamic panel data models. Economics Letters, 95(1), 32–38. https://doi.org/10.1016/j.econlet.2006.09.011
   Web of Science ®Google Scholar
• Huang, W. H. (2015). The determinants of household electricity consumption in Taiwan: Evidence from quantile regression. Energy, 87, 120–133. https://doi.org/10.1016/j.energy.2015.04.101
   Web of Science ®Google Scholar
• Huebner, G., Shipworth, D., Hamilton, I., Chalabi, Z., & Oreszczyn, T. (2016). Understanding electricity consumption: A comparative contribution of building factors, socio-demographics, appliances, behaviours and attitudes. Applied Energy, 177, 692–702. https://doi.org/10.1016/j.apenergy.2016.04.075
   Web of Science ®Google Scholar
• Khanna, N. Z., Guo, J., & Zheng, X. (2016). Effects of demand side management on Chinese household electricity consumption: Empirical findings from Chinese household survey. Energy Policy, 95, 113–125. https://doi.org/10.1016/j.enpol.2016.04.049
   Web of Science ®Google Scholar
• Leahy, E., & Lyons, S. (2010). Energy use and appliance ownership in Ireland. Energy Policy, 38(8), 4265–4279. https://doi.org/10.1016/j.enpol.2010.03.056
   Web of Science ®Google Scholar
• Liao, H., Liu, Y., Gao, Y., Hao, Y., Ma, X. W., & Wang, K. (2017). Forecasting residential electricity demand in provincial China. Environmental Science and Pollution Research, 24(7), 6414–6425. https://doi.org/10.1007/s11356-016-8275-8
   PubMed Web of Science ®Google Scholar
• Lin, B., & Jiang, Z. (2012). Designation and influence of household increasing block electricity tariffs in China. Energy Policy, 42, 164–173. https://doi.org/10.1016/j.enpol.2011.11.062
   Web of Science ®Google Scholar
• Lin, B., & Liu, X. (2013). Electricity tariff reform and rebound effect of residential electricity consumption in China. Energy, 59, 240–247. https://doi.org/10.1016/j.energy.2013.07.021
   Web of Science ®Google Scholar
• Menz, T., & Kühling, J. (2011). Population aging and environmental quality in OECD countries: Evidence from sulfur dioxide emissions data. Population and Environment, 33(1), 55–79. https://doi.org/10.1007/s11111-011-0132-6
   Web of Science ®Google Scholar
• Ota, T., Kakinaka, M., & Kotani, K. (2018). Demographic effects on residential electricity and city gas consumption in the aging society of Japan. Energy Policy, 115, 503–513. https://doi.org/10.1016/j.enpol.2018.01.016
   Web of Science ®Google Scholar
• Ryu, J. Y., Kim, D. W., & Kim, M. K. (2021). Household differentiation and residential electricity demand in Korea. Energy Economics, 95, 105090. https://doi.org/10.1016/j.eneco.2020.105090
   Web of Science ®Google Scholar
• Sanquist, T. F., Orr, H., Shui, B., & Bittner, A. C. (2012). Lifestyle factors in US residential electricity consumption. Energy Policy, 42, 354–364. https://doi.org/10.1016/j.enpol.2011.11.092
   Web of Science ®Google Scholar
• Shahbaz, M., & Lean, H. H. (2012). Does financial development increase energy consumption? The role of industrialization and urbanization in Tunisia. Energy Policy, 40, 473–479. https://doi.org/10.1016/j.enpol.2011.10.050
   Web of Science ®Google Scholar
• Sun, C. (2015). An empirical case study about the reform of tiered pricing for household electricity in China. Applied Energy, 160, 383–389. https://doi.org/10.1016/j.apenergy.2015.09.030
   Web of Science ®Google Scholar
• Sun, C., & Ouyang, X. (2016). Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China. Energy Policy, 88, 56–63. https://doi.org/10.1016/j.enpol.2015.10.012
   Web of Science ®Google Scholar
• Tonn, B., & Eisenberg, J. (2007). The aging US population and residential energy demand. Energy Policy, 35(1), 743–745. https://doi.org/10.1016/j.enpol.2005.12.011
   Web of Science ®Google Scholar
• Wang, Y., Hou, L., Cai, W., Zhou, Z., & Bian, J. (2023). Exploring the drivers and influencing mechanisms of urban household electricity consumption in China-based on longitudinal data at the provincial level. Energy, 273, 127191. https://doi.org/10.1016/j.energy.2023.127191
   Web of Science ®Google Scholar
• Wang, Z., Lu, M., & Wang, J. C. (2014). Direct rebound effect on urban residential electricity use: An empirical study in China. Renewable and Sustainable Energy Review, 30, 124–132. https://doi.org/10.1016/j.rser.2013.09.002
   Web of Science ®Google Scholar
• Wiesmann, D., Azevedo, I. L., Ferrão, P., & Fernández, J. E. (2011). Residential electricity consumption in Portugal: Findings from top-down and bottom-up models. Energy Policy, 39(5), 2772–2779. https://doi.org/10.1016/j.enpol.2011.02.047
   Web of Science ®Google Scholar
• Yamasaki, E., & Tominaga, N. (1997). Evolution of an aging society and effect on residential energy demand. Energy Policy, 25(11), 903–912. https://doi.org/10.1016/S0301-4215(97)00040-2
   Web of Science ®Google Scholar
• Yang, C., Meng, C., & Zhou, K. (2018). Residential electricity pricing in China: The context of price-based demand response. Renewable and Sustainable Energy Review, 81, 2870–2878. https://doi.org/10.1016/j.rser.2017.06.093
   Web of Science ®Google Scholar
• Yang, S., Zhang, Y., & Zhao, D. (2016). Who exhibits more energy-saving behavior in direct and indirect ways in China? The role of psychological factors and socio-demographics. Energy Policy, 93, 196–205. https://doi.org/10.1016/j.enpol.2016.02.018
   Web of Science ®Google Scholar
• York, R. (2007). Demographic trends and energy consumption in European Union Nations, 1960–2025. Social Science Research, 36(3), 855–872. https://doi.org/10.1016/j.ssresearch.2006.06.007
   Web of Science ®Google Scholar
• Zhang, C., Zhou, K., Yang, S., & Shao, Z. (2017). On electricity consumption and economic growth in China. Renewable and Sustainable Energy Review, 76, 353–368. https://doi.org/10.1016/j.rser.2017.03.071
   Web of Science ®Google Scholar
• Zheng, X., Wei, C., Qin, P., Guo, J., Yu, Y., Song, F., & Chen, Z. (2014). Characteristics of residential energy consumption in China: Findings from a household survey. Energy Policy, 75, 126–135. https://doi.org/10.1016/j.enpol.2014.07.016
   Web of Science ®Google Scholar
• Zhou, S., & Teng, F. (2013). Estimation of urban residential electricity demand in China using household survey data. Energy Policy, 61, 394–402. https://doi.org/10.1016/j.enpol.2013.06.092
   Web of Science ®Google Scholar