297
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Internet use and rural income inequality: evidence from China

&
Article: 2186914 | Received 08 Jan 2023, Accepted 27 Feb 2023, Published online: 08 Apr 2024

References

  • Akerman, A., Gaarder, I., & Mogstad, M. (2015). The skill complementarity of broadband Internet. The Quarterly Journal of Economics, 130(4), 1781–1824. https://doi.org/10.1093/qje/qjv028
  • Al-Amin, A. A., & Hossain, M. J. (2019). Impact of nonfarm income on welfare in rural Bangladesh: Multilevel mixed-effects regression approach. World Development Perspectives, 13, 95–102. https://doi.org/10.1016/j.wdp.2019.02.014
  • Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173
  • Burnett, G., Besant, M., & Chatman, E. A. (2001). Small worlds: Normative behavior in virtual communities and feminist bookselling. Journal of the American Society for Information Science and Technology, 52(7), 536–547. https://doi.org/10.1002/asi.1102
  • Diener, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999). Subjective well-being: Three decades of progress. Psychological Bulletin, 125(2), 276–302. https://doi.org/10.1037//0033-2909.125.2.276
  • Ding, J., Salinas-Jiménez, J., & Salinas-Jiménez, M. D. M. (2021). The impact of income inequality on subjective well-being: The case of China. Journal of Happiness Studies, 22(2), 845–866. https://doi.org/10.1002/asi.1102
  • Glick, P. C. (1947). The family cycle. American Sociological Review, 12(2), 164–174. https://doi.org/10.2307/2086982
  • Golley, J., & Meng, X. (2012). Income inequality and carbon dioxide emissions: The case of Chinese urban households. Energy Economics, 34(6), 1864–1872. https://doi.org/10.1016/j.eneco.2012.07.025
  • Kaila, H., & Tarp, F. (2019). Can the Internet improve agricultural production? Evidence from Vietnam. Agricultural Economics, 50(6), 675–691. https://doi.org/10.1111/agec.12517
  • Kakwani, N. (1984). The relative deprivation curve and its applications. Journal of Business & Economic Statistics, 2(4), 384–394. https://doi.org/10.1080/07350015.1984.10509412
  • Komatsu, S., & Suzuki, A. (2023). The impact of different levels of income inequality on subjective well-being in China: A panel data analysis. The Chinese Economy, 1–20, 56(2), 104–123. https://doi.org/10.1080/10971475.2022.2096809
  • Kurantin, N., & Osei-Hwedie, B. Z. (2019). Digital financial integration, investment, economic growth, development and poverty reduction. R. Bhattacharyya (Ed.), The gains and pains of financial integration and trade liberalization (pp. 101–112). Emerald Publishing Limited. https://doi.org/10.1108/978-1-78973-999-220191015
  • Lei, X., Shen, Y., Smith, J. P., & Zhou, G. (2018). Life satisfaction in China and consumption and income inequalities. Review of Economics of the Household, 16(1), 75–95. https://doi.org/10.1007/s11150-017-9386-9
  • Leng, X. (2022). Digital revolution and rural family income: Evidence from China. Journal of Rural Studies, 94, 336–343. https://doi.org/10.1080/15140326.2021.2012408
  • Li, F., Zhang, J., & Ma, C. (2022). Does family life cycle influence farm households’ adoption decisions concerning sustainable agricultural technology? Journal of Applied Economics, 25(1), 121–144. https://doi.org/10.1080/15140326.2021.2012408
  • Liao, F., Hu, Y., & Xu, S. (2023). How do environmental subsidies affect the environmental performance of heavily polluting enterprises: Evidence from China. Economic Research-Ekonomska Istraživanja, 1–29. https://doi.org/10.1080/1331677X.2022.2160777
  • Lin, B., & Zhou, Y. (2021). Does the Internet development affect energy and carbon emission performance? Sustainable Production and Consumption, 28, 1–10. https://doi.org/10.1016/j.spc.2021.03.016
  • Liu, C., Jiang, Y., & Xie, R. (2019). Does income inequality facilitate carbon emission reduction in the US? Journal of Cleaner Production, 217, 380–387. https://doi.org/10.1016/j.jclepro.2019.01.242
  • Lu, Y., Xie, H., & Xu, L. C. (2016). Telecommunication externality on migration: Evidence from Chinese villages. China Economic Review, 39, 77–90. https://doi.org/10.1016/j.chieco.2016.03.007
  • Lugauer, S., Ni, J., & Yin, Z. (2019). Chinese household saving and dependent children: Theory and evidence. China Economic Review, 57, 101091. https://doi.org/10.1016/j.chieco.2017.08.005
  • Luo, C., Li, S., & Sicular, T. (2020). The long-term evolution of national income inequality and rural poverty in China. China Economic Review, 62, 101465. https://doi.org/10.1016/j.chieco.2020.101465
  • Martínez-Domínguez, M., & Mora-Rivera, J. (2020). Internet adoption and usage patterns in rural Mexico. Technology in Society, 60, 101226. https://doi.org/10.1016/j.techsoc.2019.101226
  • McAuley, W. J., & Nutty, C. L. (1982). Residential preferences and moving behavior: A family life-cycle analysis. Journal of Marriage and the Family, 44(2), 301–309. https://doi.org/10.2307/351540
  • Pu, X., Wang, Y., Zhang, W., & Zeng, M. (2022). Can basic medical insurance reduce elderly family income inequality in China? Frontiers in Public Health, 10 https://doi.org/10.3389/fpubh.2022.838733
  • Qin, M., Su, C. W., Pirtea, M. G., & Peculea, A. D. (2023a). The essential role of Russian geopolitics: A fresh perception into the gold market. Resources Policy, 81, 103310. 103310. https://doi.org/10.1016/j.resourpol.2023.103310
  • Qin, M., Su, C. W., Umar, M., Lobonţ, O. R., & Manta, A. G. (2023b). Are climate and geopolitics the challenges to sustainable development? Novel evidence from the global supply chain. Economic Analysis and Policy, 77, 748–763. https://doi.org/10.1016/j.eap.2023.01.002
  • Qin, M., Su, C.-W., Zhong, Y., Song, Y., & Lobonț, O.-R. (2022). Sustainable finance and renewable energy: Promoters of carbon neutrality in the United States. Journal of Environmental Management, 324, 116390. https://doi.org/10.1016/j.jenvman.2022.116390
  • Qin, M., Zhang, X. J., Li, Y. M., & Maria, B. R. (2023c). Blockchain market and green finance: The enablers of carbon neutrality in China. Energy Economics, 118, 106501. https://doi.org/10.1016/j.eneco.2022.106501
  • Qiu, L., Zhong, S., & Sun, B. (2021). Blessing or curse? The effect of broadband Internet on China’s inter-city income inequality. Economic Analysis and Policy, 72, 626–650. https://doi.org/10.1016/j.eap.2021.10.013
  • Reardon, T., Taylor, J. E., Stamoulis, K., Lanjouw, P., & Balisacan, A. (2008). Effects of non‐farm employment on rural income inequality in developing countries: An investment perspective. Journal of Agricultural Economics, 51(2), 266–288. https://doi.org/10.1111/j.1477-9552.2000.tb01228.x
  • Ren, G., & Pan, X. (2016). An individual relative deprivation index and its curve considering income scope. Social Indicators Research, 126(3), 935–953. https://doi.org/10.1007/s11205-015-0944-3
  • Rios-Avila, F. (2020). Recentered influence functions (RIFs) in Stata: RIF regression and RIF decomposition. The Stata Journal: Promoting Communications on Statistics and Stata, 20(1), 51–94. https://doi.org/10.1177/1536867X20909690
  • Rojas-Vallejos, J., & Lastuka, A. (2020). The income inequality and carbon emissions trade-off revisited. Energy Policy, 139, 111302. https://doi.org/10.1016/j.enpol.2020.111302
  • Škare, M., Blanco-Gonzalez-Tejero, C., Crecente, F., & del Val, M. T. (2022). Scientometric analysis on entrepreneurial skills - creativity, communication, leadership: How strong is the association? Technological Forecasting and Social Change, 182, 121851. https://doi.org/10.1016/j.techfore.2022.121851
  • Škare, M., & Porada-Rochoń, M. (2023). Are we making progress on decarbonization? A panel heterogeneous study of the long-run relationship in selected economies. Technological Forecasting and Social Change, 188, 122279. https://doi.org/10.1016/j.techfore.2022.122279
  • Škare, M., Soriano, D. R., & Porada-Rochoń, M. (2021). Impact of COVID-19 on the travel and tourism industry. Technological Forecasting and Social Change, 163(1), 120469. https://doi.org/10.1016/j.techfore.2020.120469
  • Stjepanovic, S., Tomic, D., & Skare, M. (2022). A new database on Green GDP; 1970-2019: A framework for assessing the green economy. Oeconomia Copernicana, 13(4), 949–975. https://doi.org/10.24136/oc.2022.027
  • Su, C. W., Chen, Y., Hu, J., Chang, T., & Umar, M. (2022a). Can the green bond market enter a new era under the fluctuation of oil price? Economic Research-Ekonomska Istraživanja, 1–26. https://doi.org/10.1080/1331677x.2022.2077794
  • Su, C. W., Liu, F., Qin, M., & Chnag, T. (2022b). Is a consumer loan a catalyst for confidence? Economic Research-Ekonomska Istraživanja, 1–22. https://doi.org/10.1080/1331677x.2022.2142260
  • Su, C.-W., Umar, M., Kirikkaleli, D., Ayobamiji Awosusi, A., & Altuntaş, M. (2023a). Testing the asymmetric effect of financial stability towards carbon neutrality target: The case of Iceland and global comparison. Gondwana Research, 116, 125–135. https://doi.org/10.1016/j.gr.2022.12.014
  • Su, D., Xu, S., & Tong, Z. (2023b). Credit availability and corporate risk-taking: Evidence from China’s green credit policy. Post-Communist Economies, 1–35. https://doi.org/10.1080/14631377.2023.2169516
  • Su, C.-W., Yuan, X., Umar, M., & Chang, T. (2023c). Is presidential popularity a threat or encouragement for investors? Economic Research-Ekonomska Istraživanja, 1–24. https://doi.org/10.1080/1331677x.2022.2129409
  • Su, C.-W., Yuan, X., Tao, R., & Shao, X. (2023d). Time and frequency domain connectedness analysis of the energy transformation under climate policy. Technological Forecasting and Social Change, 184, 121978. https://doi.org/10.1016/j.techfore.2022.121978
  • Tack, J., & Aker, J. C. (2014). Information, mobile telephony, and traders’ search behavior in Niger. American Journal of Agricultural Economics, 96(5), 1439–1454. https://doi.org/10.1093/ajae/aau063
  • Wan, G., & Zhou, Z. (2005). Income inequality in rural China: Regression‐based decomposition using household data. Review of Development Economics, 9(1), 107–120. https://doi.org/10.1111/j.1467-9361.2005.00266.x
  • Wang, J., Chang, H., & Long, J. (2022). It is reducing rural income inequality and its spatial convergence in China during the past two decades. Habitat International, 130, 102694. https://doi.org/10.1016/j.habitatint.2022.102694
  • Wang, J., Dong, K., Sha, Y., & Yan, C. (2022). Envisaging the carbon emissions efficiency of digitalization: The case of the internet economy for China. Technological Forecasting and Social Change, 184, 121965. https://doi.org/10.1016/j.techfore.2022.121965
  • Xu, S., Tong, Z., Li, C., & Chen, S. (2023). The impact of social pension scheme on the quality of labor supply: Empirical evidence based on health human capital. Kybernetes, https://doi.org/10.1108/K-10-2022-1413
  • Xu, S., Yang, Z., Tong, Z., & Li, Y. (2021). Knowledge changes fate: Can financial literacy advance poverty reduction in rural households? The Singapore Economic Review, 1–36. https://doi.org/10.1142/S0217590821440057
  • Yan, B., & Wen, B. (2020). Income inequality, corruption and subjective wellbeing. Applied Economics, 52(12), 1311–1326. https://doi.org/10.1080/00036846.2019.1661953
  • Yang, Y., Zeng, D., & Yang, F. (2022). Internet use and subjective well-being of the elderly: An analysis of the mediating effect based on social capital. International Journal of Environmental Research and Public Health, 19(19), 12087. https://doi.org/10.3390/ijerph191912087
  • Yitzhaki, S. (1979). Relative deprivation and the Gini coefficient. The Quarterly Journal of Economics, 93(2), 321–324. https://doi.org/10.2307/1883197
  • Zhang, X. (2013). Income disparity and digital divide: The Internet Consumption Model and cross-country empirical research. Telecommunications Policy, 37(6–7), 515–529. https://doi.org/10.1016/j.telpol.2012.12.011
  • Zhang, Q., & Churchill, S. A. (2020). Income inequality and subjective well-being: Panel data evidence from China. China Economic Review, 60, 101392. https://doi.org/10.1016/j.chieco.2019.101392
  • Zhang, H., Wang, H., Yan, H., & Wang, X. (2021). Impact of internet use on mental health among elderly individuals: a difference-in-differences study based on 2016–2018 CFPS data. International Journal of Environmental Research and Public Health, 19(1), 101. https://doi.org/10.3390/ijerph19010101
  • Zhong, R., He, Q., & Qi, Y. (2022). Digital economy, agricultural technological progress, and agricultural carbon intensity: Evidence from China. International Journal of Environmental Research and Public Health, 19(11), 6488. https://doi.org/10.3390/ijerph19116488