The impact of the Internet on household consumption expenditure: an empirical study based on China Family Panel Studies data

References

• Aitken, C. K., Mcmahon, T. A., Wearing, A. J., & Finlayson, B. L. (1994). Residential water use: Predicting and reducing consumption 1. Journal of Applied Social Psychology, 24(2), 136–158. https://doi.org/10.1111/j.1559-1816.1994.tb00562.x
   Web of Science ®Google Scholar
• Alessie, R., Angelini, V., & Santen, P. Van. (2013). Pension wealth and household savings in Europe: Evidence from SHARELIFE. European Economic Review, 63(63), 308–328. https://doi.org/10.1016/j.euroecorev.2013.04.009
   Google Scholar
• Amichai-Hamburger, Y., & Ben-Artzi, E. (2003). Loneliness and Internet use. Computers in Human Behavior, 19(1), 71–80. https://doi.org/10.1016/S0747-5632(02)00014-6
   Web of Science ®Google Scholar
• Antoci, A., Sabatini, F., & Sodini, M. (2014). Bowling alone but tweeting together: The evolution of human interaction in the social networking era. Quality & Quantity, 48(4), 1911–1927. https://doi.org/10.1007/s11135-013-9863-z
   Web of Science ®Google Scholar
• Bach, R. L., & Eckman, S. (2020). Rotation group bias in reporting of household purchases in the U.S. Consumer Expenditure Survey. Economics Letters, 187.
   Web of Science ®Google Scholar
• Basole, A., & Basu, D. (2015). Fuelling calorie intake decline: Household-level evidence from rural India. World Development, 68, 82–95. https://doi.org/10.1016/j.worlddev.2014.11.020
   Web of Science ®Google Scholar
• Carreón, E. C. A., Nonaka, H., Hentona, A., & Yamashiro, H. (2019). Measuring the influence of mere exposure effect of TV commercial adverts on purchase behavior based on machine learning prediction models. Information Processing & Management, 55(4), 1339–1355.
   Google Scholar
• Czart, C., Pacula, R. L., Chaloupka, R. J., & Wechsler, H. (2001). The impact of prices and control policies on cigarette smoking among college students. Contemporary Economic Policy, 19(2), 135–149. https://doi.org/10.1111/j.1465-7287.2001.tb00056.x
   Web of Science ®Google Scholar
• Dercon, S., Gilligan, D. O., Hoddinott, J., & Woldehanna, T. (2009). The impact of agricultural extension and roads on poverty and consumption growth in fifteen Ethiopian villages. American Journal of Agricultural Economics, 91(4), 1007–1021. https://doi.org/10.1111/j.1467-8276.2009.01325.x
   Web of Science ®Google Scholar
• Dupas, P., & Robinson, J. (2013). Why don’t the poor save more? Evidence from health savings experiments. The American Economic Review, 103(4), 1138–1171. https://doi.org/10.1257/aer.103.4.1138
   PubMed Web of Science ®Google Scholar
• Farnsworth, S. J., & Owen, D. (2004). Internet use and the 2000 presidential election. Electoral Studies, 23(3), 415–429. https://doi.org/10.1016/S0261-3794(03)00029-5
   Web of Science ®Google Scholar
• Folbre, N., Murray-Close, M., & Suh, J. (2020). Equivalence scales for extended income in the U.S. Review of Economics of the Household, 187, 108889. https://doi.org/10.1007/s11150-017-9387-8
   Google Scholar
• Fowler, J. G., Gentry, J. W., & Reisenwitz, T. H. (2015). Analyzing Chinese older people’s quality of life through their use of the Internet. International Journal of Consumer Studies, 39(4), 324–334. https://doi.org/10.1111/ijcs.12194
   Web of Science ®Google Scholar
• Gardiner, S., Grace, D., & King, C. (2014). The generation effect the future of domestic tourism in Australia. Journal of Travel Research, 53(6), 705–720. https://doi.org/10.1177/0047287514530810
   Web of Science ®Google Scholar
• Han, L., Xiao, J. J., & Su, Z. (2019). Financing knowledge, risk attitude and P2P borrowing in China. International Journal of Consumer Studies, 43(2), 166–177. https://doi.org/10.1111/ijcs.12494
   Web of Science ®Google Scholar
• Harshman, E. M., Gilsinan, J. F., Fisher, J. E., & Yeager, F. C. (2005). Professional ethics in a virtual world: The impact of the Internet on traditional notions of professionalism. Journal of Business Ethics, 58(1-3), 227–236. https://doi.org/10.1007/s10551-005-1417-4
   Web of Science ®Google Scholar
• Hinsch, C., & Sheldon, K. M. (2013). The impact of frequent social Internet consumption: Increased procrastination and lower life satisfaction. Journal of Consumer Behaviour, 12(6), 496–505. https://doi.org/10.1002/cb.1453
   Web of Science ®Google Scholar
• Hong-Youl, H., & Perks, H. (2005). Effects of consumer perceptions of brand experience on the web: brand familiarity, satisfaction and brand trust. Journal of Consumer Behaviour, 16, 189–227.
   Google Scholar
• Hu, H., Dong, W., & Zhou, Q. (2021). A comparative study on the environmental and economic effects of a resource tax and carbon tax in China: Analysis based on the computable general equilibrium model. Energy Policy, 156(6), 112460. https://doi.org/10.1016/j.enpol.2021.112460
   Google Scholar
• JianguoXu. (2017). China’s Internet finance: A critical review. China & World Economy, 25(4), 78–92.
   Web of Science ®Google Scholar
• Keating, B. W., Quazi, A. M., & Kriz, A. (2009). Financial risk and its impact on new purchasing behavior in the online retail setting. Electronic Markets, 19(4), 237–250. https://doi.org/10.1007/s12525-009-0021-3
   Web of Science ®Google Scholar
• Lal, R., & Sarvary, M. (1999). When and how is the Internet likely to decrease price competition? Marketing Science, 18(4), 485–503. https://doi.org/10.1287/mksc.18.4.485
   Web of Science ®Google Scholar
• Laukkanen, T. (2016). Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking. Journal of Business Research, 69(7), 2432–2439. https://doi.org/10.1016/j.jbusres.2016.01.013
   Web of Science ®Google Scholar
• Li, J., Wu, Y., & Xiao, J. J. (2020). The impact of digital finance on household consumption: Evidence from China. Economic Modelling, 86, 317–326. https://doi.org/10.1016/j.econmod.2019.09.027
   Web of Science ®Google Scholar
• Liao, Z., & Shi, X. (2009). Consumer perceptions of internet-based e-retailing: An empirical research in Hong Kong. Journal of Services Marketing, 23(1), 24–30. https://doi.org/10.1108/08876040910933066
   Web of Science ®Google Scholar
• Liu, S., Wang, E., & Wang, X. (2021). Changes in the affordability of 4-year public higher education in China during massification. Asia Pacific Education Review, 3.
   Web of Science ®Google Scholar
• Liu, Y., Zhang, X., Pan, X., Ma, X., & Tang, M. (2020). The spatial integration and coordinated industrial development of urban agglomerations in the Yangtze River Economic Belt. China Cities, 104, 102801. https://doi.org/10.1016/j.cities.2020.102801
   Web of Science ®Google Scholar
• Lodhia, S., & Stone, G. (2017). Integrated reporting in an Internet and social media communication environment: Conceptual insights. Australian Accounting Review, 27(1), 17–33. https://doi.org/10.1111/auar.12143
   Web of Science ®Google Scholar
• Ma, W., Nie, P., Zhang, P., & Renwick, A. (2020). Impact of Internet use on economic well‐being of rural households: Evidence from China. Review of Development Economics, 24(2), 503–523. https://doi.org/10.1111/rode.12645
   Web of Science ®Google Scholar
• Martin, D. M., & Schouten, J. W. (2014). Consumption-driven market emergence. Journal of Consumer Research, 5, 855–870.
   Google Scholar
• Meng, L. (2019). Permanent migration desire of Chinese rural residents: Evidence from field surveys, 2006–2015. China Economic Review, 16, 189–227.
   Google Scholar
• Moodley, S. (2002). E‐business in the South African apparel sector: A utopian vision of efficiency? The Developing Economies, 40(1), 67–100. https://doi.org/10.1111/j.1746-1049.2002.tb00911.x
   Web of Science ®Google Scholar
• Nie, P., Sousa-Poza, A., & Nimrod, G. (2017). Internet use and subjective well-being in China. Social Indicators Research, 132(1), 489–516. https://doi.org/10.1007/s11205-015-1227-8
   Web of Science ®Google Scholar
• Niu, H. J. (2013). Cyber peers’ influence for adolescent consumer in decision‐making styles and online purchasing behavior. Journal of Applied Social Psychology, 43(6), 1228–1237. https://doi.org/10.1111/jasp.12085
   Web of Science ®Google Scholar
• Overby, J. W., & Lee, E. J. (2006). The effects of utilitarian and hedonic online shopping value on consumer preference and intentions. Journal of Business Research, 59(10-11), 1160–1166. https://doi.org/10.1016/j.jbusres.2006.03.008
   Web of Science ®Google Scholar
• Paunov, C., & Rollo, V. (2016). Has the Internet fostered inclusive innovation in the developing world? World Development, 78, 587–609. https://doi.org/10.1016/j.worlddev.2015.10.029
   Web of Science ®Google Scholar
• Purvis, C. C., Gelb, C. A., Hee, R. S., Hawkins, N. A., Rodriguez, J. L., & Lindsey, P. (2012). Physicians who use social media and other internet-based communication technologies. J Am Med Inform Assoc, 6, 960–964.
   Google Scholar
• Ronen, B., & Karp, R. (1994). An information entropy approach to the small-lot concept. IEEE Transactions on Engineering Management, 41(1), 89–92. https://doi.org/10.1109/17.286340
   Web of Science ®Google Scholar
• Rubin, D. (2001). Using propensity scores to help design observational studies: Application to the tobacco litigation. Health Services and Outcomes Research Methodology, 2(3/4), 169–188. https://doi.org/10.1023/A:1020363010465
   Google Scholar
• Sm, A., Dg, B., Nmp, C., Alr, D., Ta, E., Ad, F., Kdr, G., & Mw, H. (2014). Regulatory fit: A meta-analytic synthesis. Journal of Consumer Psychology, 24(3), 394–410.
   Web of Science ®Google Scholar
• Solano, I., Eaton, N. R., & O'Leary, K. D. (2018). Pornography consumption, modality and function in a large Internet sample. Journal of Sex Research, 1–12.
   Web of Science ®Google Scholar
• Verma, K., Sivashanmugam, K., Sheth, A., Patil, A., Oundhakar, S., & Miller, J. (2005). METEOR-S WSDI: A scalable P2P infrastructure of registries for semantic publication and discovery of web services. Information Technology and Management, 6(1), 17–39. https://doi.org/10.1007/s10799-004-7773-4
   Google Scholar
• Wang Holly, H., Wu, L., Hong, Jeong, S., & Ortega, D. L. (2015). Retail channel and consumer demand for food quality in China. China Economic Review, 36, 359–366.
   Web of Science ®Google Scholar
• Worthington, S., Thompson, F. M., & Stewar, D. B. (2011). Credit cards in a Chinese cultural context—The young, affluent Chinese as early adopters. Journal of Retailing and Consumer Services, 18(6), 534–541.
   Google Scholar
• Yohannes, M. F., & Matsuda, T. (2016). Weather effects on household demand for coffee and tea in Japan. Agribusiness, 32(1), 33–44. https://doi.org/10.1002/agr.21434
   Web of Science ®Google Scholar
• Yu, L., Zhao, Y., Ling, T., & Yang, Z. (2019). Online big data-driven oil consumption forecasting with Google trends. International Journal of Forecasting, 35(1), 213–223. https://doi.org/10.1016/j.ijforecast.2017.11.005
   Web of Science ®Google Scholar
• Yu, N., Shi, Q., & Jin H. (2010). Permanent land-use rights and endowment insurance: Chinese evidence of the substitution effect. China Economic Review, 21(2), 272–281.
   Web of Science ®Google Scholar
• Zhang, D., & Guo, R. (2020). The consumption response to household leverage in China: The role of investment at household level. International Review of Financial Analysis, 71, 101580. https://doi.org/10.1016/j.irfa.2020.101580
   Web of Science ®Google Scholar
• Zhao, H., Tian, W., & Tao, X. (2017). The development and validation of the online shopping addiction scale. Frontiers in Psychology, 8, 735.
   PubMed Web of Science ®Google Scholar
• Zhu, X., Ren, W., Chen, Q., & Evans, R. (2021). How does Internet usage affect the credit consumption among Chinese college students? A mediation model of social comparison and materialism. Internet Research, 31(3), 1083–1101. https://doi.org/10.1108/INTR-08-2019-0357
   Web of Science ®Google Scholar