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Analyzing the underlying relationship between monetary policy and residential property prices in China

    Qihao Zhou Affiliation
    ; Muhammad Safdar Sial Affiliation
    ; Susana Álvarez-Otero Affiliation
    ; Asma Salman Affiliation
    ; Wei Liu Affiliation

Abstract

Policymakers and the public express concern regarding the volatility of housing prices due to its potential to increase consumer costs and negatively impact housing affordability. Based on empirical study, it has been seen that the expansion of the real estate sector has a significant impact on the investment in fixed assets by firms. This influence is mostly attributed to the alteration of the transmission of monetary policy. Real estate investment is considered a feasible option because of the significant and rapid appreciation in property prices. The primary objective of this study is to examine the influence of monetary policy on the housing market in China. To conduct the current study, macroeconomic data from a total of 44 time periods, ranging from the fourth quarter of 2012 to the fourth quarter of 2022, was collected. The findings of our study indicate that in the context of China, an expansion in the money supply has a greater propensity to positively influence the borrowing activities of real estate suppliers and clients, as opposed to the supply of properties themselves. The housing market can be influenced by governmental actions such as adjustments to the money supply and interest rates. While scholars have extensively examined the subject matter, the housing market in China remains relatively under-researched in terms of its susceptibility to government macroeconomic policies. Moreover, the current study offers a comprehensive overview of the prevailing challenges encountered by the residential property market in China, emphasizing the significance of macroeconomic policies within this particular context.

Keyword : real estate, interest rates, Chinese economy, property prices, VAR

How to Cite
Zhou, Q., Sial, M. S., Álvarez-Otero, S., Salman, A., & Liu, W. (2023). Analyzing the underlying relationship between monetary policy and residential property prices in China. International Journal of Strategic Property Management, 27(6), 405–418. https://doi.org/10.3846/ijspm.2023.20662
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References

Abraham, J. M., & Hendershott, P. H. (1996). Bubbles in metropolitan housing markets. Journal of Housing Research, 7(2), 191–207.

Aizenman, J., Jinjarak, Y., & Zheng, H. (2019). Housing bubbles, economic growth, and institutions. Open Economies Review, 30, 655–674. https://doi.org/10.1007/s11079-019-09535-9

Al-Omoush, K. S., Ribeiro-Navarrete, S., Lassala, C., & Skare, M. (2022). Networking and knowledge creation: social capital and collaborative innovation in responding to the COVID-19 crisis. Journal of Innovation & Knowledge, 7(2), 100181. https://doi.org/10.1016/j.jik.2022.100181

Al Azzam, F. A. F. (2019). The adequacy of the international cooperation means for combating cybercrime and ways to modernize it. JANUS. NET e-journal of International Relations, 10, 66–83. https://doi.org/10.26619/1647-7251.10.1.5

Al Azzam, F. A. F., Khomko, L., Mykhailyk, N., Maslak, O., & Danchak, L. (2023). Optimization of international trade for sustainable development marketing strategy: economic and legal EU regulations. International Journal of Sustainable Development & Planning, 18(8), 2615–2621. https://doi.org/10.18280/ijsdp.180834

Al Droua, K. K., Salihb, A. J., & Alazzamc, F. A. (2020). The right of senate members to question the government: an appraisal of the Jordanian constitutional system. International Journal of Innovation, Creativity and Change, 12(9), 283–295.

Alazzam, F., Aldrou, K., & Salih, A. (2020a). Legal problems and challenges facing electronic commerce contracts and ways to overcome them in the Jordanian and comparative legislatures. International Journal of Innovation, Creativity and Change, 12(9), 323–338.

Alazzam, F. A. F., & Alshunnaq, M. F. N. (2023). Formation of creative thinking of a lawyer in modern conditions of development including the influence of COVID-19 pandemic. Creativity Studies, 16(1), 315–327. https://doi.org/10.3846/cs.2023.16117

Alazzam, F. A. F., Saleh, A. J., & Aldrou, K. K. A. R. (2020b). Impact of pandemic COVID-19 on the legal regulation of world trade activity using the example of the medical supplies. Wiadomości Lekarskie, 73(7), 1521–1527. https://doi.org/10.36740/WLek202007139

Alazzam, F. A. F., Shakhatreh, H. J. M., Gharaibeh, Z. I. Y., Didiuk, I., & Sylkin, O. (2023). Developing an information model for e-commerce platforms: a study on modern socio-economic systems in the context of global digitalization and legal compliance. Ingénierie des Systèmes d’Information, 28(4), 969–974. https://doi.org/10.18280/isi.280417

Alshebami, A. S., & Aldhyani, T. H. (2022). The interplay of social influence, financial literacy, and saving behaviour among Saudi youth and the moderating effect of self-control. Sustainability, 14(14), 8780. https://doi.org/10.3390/su14148780

Alshebami, A. S., & Khandare, D. (2014). Microfinance in Yemen “Challenges and Opportunities“. International Journal in Management & Social Science, 2(12), 400–413. https://doi.org/10.5296/ijsw.v2i2.7937

Alshebmi, A. S., Adam, M. H. M., Mustafa, A., & Abdelmaksoud, M. (2020). Assessing the non-performing loans and their effect on banks profitability: empirical evidence from the Saudi Arabia banking sector. International Journal of Innovation, Creativity and Change, 11(8), 69–93.

Anundsen, A. K. (2015). Econometric regime shifts and the US subprime bubble. Journal of Applied Econometrics, 30, 145–169. https://doi.org/10.1002/jae.2367

Anundsen, A. K. (2021). House price bubbles in Nordic countries? Nordic Economic Policy Review, 13–42. https://hdl.handle.net/11250/2991820

Baltagi, B. H., Griffin, J. M., & Xiong, W. (2000). To pool or not to pool: homogeneous versus heterogeneous estimators applied to cigarette demand. Review of Economics and Statistics, 82, 117–126. https://doi.org/10.1162/003465300558551

Banerjee, A., Dolado, J., & Mestre, R. (1998). Error‐correction mechanism tests for cointegration in a single‐equation framework. Journal of Time Series Analysis, 19(3), 267–283. https://doi.org/10.1111/1467-9892.00091

Beltratti, A., & Morana, C. (2010). International house prices and macroeconomic fluctuations. Journal of Banking and Finance, 34, 533–545. https://doi.org/10.1016/j.jbankfin.2009.08.020

Berentsen, A., Huber, S., & Marchesiani, A. (2015). Financial innovations, money demand, and the welfare cost of inflation. Journal of Money, Credit and Banking, 47, 223–261. https://doi.org/10.1111/jmcb.12219

Bian, Y., & Logan, J. R. (1996). Market transition and the persistence of power: the changing stratification system in urban China. American Sociological Review, 61, 739–758. https://doi.org/10.2307/2096451

Bolt, W., Demertzia, M., Diks, C., Hommes, C., & Leij, M. (2019). Identifying booms and bust in house prices under heterogenous expectations. Journal of Economic Dynamics and Control, 103, 234–259. https://doi.org/10.1016/j.jedc.2019.04.003

Bong, H. K., & Min, H. G. (2011). Household lending, interest rates and housing price bubbles in Korea: regime switching model and Kalman filter approach. Economic Modelling, 28, 1415–1423. https://doi.org/10.1016/j.econmod.2011.02.001

Boug, P., Cappelen, Å., Jansen, E. S., & Swensen, A. R. (2021). The consumption Euler equation or the Keynesian consumption function? Oxford Bulletin of Economics and Statistics, 83, 252–272. https://doi.org/10.1111/obes.12394

Caballero, R. J., Hoshi, T., & Kashyap, A. K. (2008). Zombie lending and depressed restructuring in Japan. American Economic Review, 98, 1943–1977. https://doi.org/10.1257/aer.98.5.1943

Campbell, J. Y., & Cocco, J. F. (2007). How do house prices affect consumption? Evidence from micro data. Journal of Monetary Economics, 54(3), 591–621. https://doi.org/10.1016/j.jmoneco.2005.10.016

Case, K. E. (2000). Real estate and the macroeconomy. Brookings Papers on Economic Activity, 2000, 119–162. https://doi.org/10.1353/eca.2000.0011

Case, K. E., & Quigley, J. M. (2008). How housing booms unwind: income effects, wealth effects, and feedbacks through financial markets. European Journal of Housing Policy, 8, 161–180. https://doi.org/10.1080/14616710802037383

Chang, C., Liu, Z., & Spiegel, M. M. (2015). Capital controls and optimal Chinese monetary policy. Journal of Monetary Economics, 74, 1–15. https://doi.org/10.1016/j.jmoneco.2015.04.003

Chauvin, V., & Muellbauer, J. (2018). Consumption, household portfolios and the housing market in France. Economie et Statistique / Economics and Statistics, 500-501-502, 157–178. https://doi.org/10.24187/ecostat.2018.500t.1950

Cheng, L., Li, Y., Yu, H., & Li, W. (2020). Urban population, monetary policy and real estate price: internal mechanism and empirical test. Contemporary Economic Science, 42(1), 108–119.

Claessens, S., Kose, M., & Terrones, M. (2012). How do business and financial cycles interact? Journal of International Economics, 87, 178–190. https://doi.org/10.1016/j.jinteco.2011.11.008

Dai, J. P., & Yin, X. Y. (2017). China’s monetary policy regulation effect and time-varying reaction characteristics: a test based on house prices and exchange rate. Journal of Zhongnan University of Economics and Law, 5.

Davis, M. A., & Heathcote, J. (2005). Housing and the business cycle. International Economic Review, 46, 751–784. https://doi.org/10.1111/j.1468-2354.2005.00345.x

Disney, R., Gathergood, J., & Henley, A. (2010). House price shocks, negative equity, and household consumption in the United Kingdom. Journal of the European Economic Association, 8, 1179–1207. https://doi.org/10.1162/jeea_a_00022

Disney, R., & Luo, G. (2017). The right to buy public housing in Britain: a welfare analysis. Journal of Housing Economics, 35, 51–68. https://doi.org/10.1016/j.jhe.2017.01.005

Duca, J., Muellbauer, J., & Murphy, A. (2010). Housing markets and the financial crisis of 2007–2009: lessons for the future. Journal of Financial Stability, 6, 203–217. https://doi.org/10.1016/j.jfs.2010.05.002

Eidgenössische Steuerverwaltung ESTV. (2015). Die Besteurung der Eigenmietwerte (Stand der Gesetzgebung). Bern.

Estrada, M. A. R., Park, D., & Staniewski, M. (2023). Artificial Intelligence (AI) can change the way of doing policy modelling. Journal of Policy Modeling, 45, 1099–1112. https://doi.org/10.1016/j.jpolmod.2023.11.005

Fang, G., Deng, Y., Ma, H., Zhang, J., & Pan, L. (2023). Energy financial risk management in China using complex network analysis. Journal of Organizational and End User Computing (JOEUC), 35(1), 1–29. https://doi.org/10.4018/JOEUC.330249

Foote, C. L., Loewenstein, L., & Willen, P. S. (2021). Cross-sectional patterns of mortgage debt during the housing boom: evidence and implications. Review of Economic Studies, 88, 229–259. https://doi.org/10.1093/restud/rdaa034

Fu, Q. (2016). The persistence of power despite the changing meaning of homeownership: an age-period-cohort analysis of urban housing tenure in China, 1989–2011. Urban Studies, 53(6), 1225–1243. https://doi.org/10.1177/0042098015571240

Gallin, J. (2006). The long-run relationship between house prices and income: evidence from local housing markets. Real Estate Economics, 34, 417–438. https://doi.org/10.1111/j.1540-6229.2006.00172.x

Gimeno, R., & Martinez-Carrascal, C. (2010). The relationship between house prices and house purchase loans: the Spanish case. Journal of Banking & Finance, 34, 1849–1855. https://doi.org/10.1016/j.jbankfin.2009.12.011

Goodhart, C., & Hofmann, B. (2008). House prices, money, credit, and the macroeconomy. Oxford Review of Economic Policy, 24, 180–205. https://doi.org/10.1093/oxrep/grn009

Guidolin, M., & Pedio, M. (2018). Chapter 8 - Models with breaks, recurrent regime switching, and nonlinearities. In M. Guidolin & M. Pedio (Eds.), Essentials of time series for financial applications (pp. 287–327). Academic Press. https://doi.org/10.1016/B978-0-12-813409-2.00008-X

Guo, F., & Huang, Y. S. (2010). Does “hot money” drive China’s real estate and stock markets? International Review of Economics & Finance, 19, 452–466. https://doi.org/10.1016/j.iref.2009.10.014

He, X., & Xia, F. (2012). Institutional reforms and household wealth inequality: a property transformation perspective on China’s housing reform. Jingji Yanjiu (Economic Research Journal), (2), 28–40.

Ibrahim, M. H., & Law, S. H. (2014). House prices and bank credits in Malaysia: an aggregate and disaggregate analysis. Habitat International, 42, 111–120. https://doi.org/10.1016/j.habitatint.2013.11.006

Jalil, A., & Rao, N. H. (2019). Chapter 8 - Time series analysis (stationarity, cointegration, and causality). In B. Özcan & I. Öztürk (Eds.), Environmental Kuznets Curve (EKC) (pp. 85–99). Academic Press. https://doi.org/10.1016/B978-0-12-816797-7.00008-4

Jordà, Ò., Schularick, M., & Taylor, A. M. (2015). Betting the house. Journal of International Economics, 96, S2–S18. https://doi.org/10.1016/j.jinteco.2014.12.011

Kenny, G. (1999). Modelling the demand and supply sides of the housing market: evidence from Ireland. Economic Modelling, 16, 389–409. https://doi.org/10.1016/S0264-9993(99)00007-3

Khushk, A. G., Gilal, M. A., & Taherani, A. (2015). Capital movements and sterilization policies in Pakistan. Journal of Grassroots, 49, 1–12.

Kissell, R., & Poserina, J. (2017). Chapter 13 - Advanced modeling techniques. In R. Kissell & J. Poserina (Eds.), Optimal sports math, statistics, and fantasy (pp. 317–330). Academic Press. https://doi.org/10.1016/B978-0-12-805163-4.00016-5

Koval, I., Romanova, A., Al Azzam, F. A. F., Alshunnaq, M. F. N., & Smotrych, D. (2022). Philosophical and legal foundations of the formation of the legal consciousness of an individual in the conditions of training a lawyer. Wisdom, 22(2), 234–243. https://doi.org/10.24234/wisdom.v22i2.695

Kuzin, V., & Schobert, F. (2015). Why does bank credit not drive money in Germany (any more)? Economic Modelling, 48, 41–51. https://doi.org/10.1016/j.econmod.2014.10.013

Leamer, E. E. (2015). Housing really is the business cycle: what survives the lessons of 2008–09? Journal of Money, Credit and Banking, 47, 43–50. https://doi.org/10.1111/jmcb.12189

Lee, H., Lee, S. H., Nan, D., & Kim, J. H. (2022). Predicting user satisfaction of mobile healthcare services using machine learning: confronting the COVID-19 pandemic. Journal of Organizational and End User Computing (JOEUC), 34(6), 1–17. https://doi.org/10.4018/JOEUC.300766

Leskinen, N., Vimpari, J., & Junnila, S. (2020). Using real estate market fundamentals to determine the correct discount rate for decentralised energy investments. Sustainable Cities and Society, 53, 101953. https://doi.org/10.1016/j.scs.2019.101953

Li-ping, W. (2006, January). Analysis of wealth effect on the real estate prices.

Li, S., & Wan, H. (2015). Evolution of wealth inequality in China. China Economic Journal, 8(3), 264–287. https://doi.org/10.1080/17538963.2015.1110338

Li, X., Wu, T., Zhang, H., & Yang, D. (2022). Digital technology adoption and sustainable development performance of strategic emerging industries: the mediating role of digital technology capability and the moderating role of digital strategy. Journal of Organizational and End User Computing (JOEUC), 34(8), 1–18. https://doi.org/10.4018/JOEUC.315645

Liu, X., & Chen, X. (2020). A study on the impact of shadow banking and monetary policy on real estate prices. China Securities and Futures, 3, 32–37.

Lu, X., & Dong, Z. (2016). Dynamic correlations between real estate prices and international speculative capital flows: an empirical study based on DCC-MGARCH method. Procedia Computer Science, 91, 422–431. https://doi.org/10.1016/j.procs.2016.07.114

McCarthy, Y., & McQuinn, K. (2017). Price expectations, distressed mortgage markets and the housing wealth effect. Real Estate Economics, 45, 478–513. https://doi.org/10.1111/1540-6229.12125

Mian, A., Rao, K., & Sufi, A. (2013). Household balance sheets, consumption, and the economic slump. The Quarterly Journal of Economics, 128, 1687–1726. https://doi.org/10.1093/qje/qjt020

Ming, W., Peng, S., & Jin, Y. (2014). Dynamic study on effects of monetary policy tools on housing prices. Journal of Huazhong Agricultural University.

Montgomery, H., & Takahashi, Y. (2014). Chapter 5 - The effect of bank mergers on shareholder value and performance in Japan. In G. N. Gregoriou & D. L. K. Chuen (Eds.), Handbook of Asian Finance (pp. 77–103). Academic Press. https://doi.org/10.1016/B978-0-12-800982-6.00005-6

Muellbauer, J., & Murphy, A. (1997). Booms and busts in the UK housing market. The Economic Journal, 107, 1701–1727. https://doi.org/10.1111/j.1468-0297.1997.tb00076.x

Muellbauer, J., & Murphy, A. (2008). Housing market and the economy: the assessment. Oxford Review of Economic Policy, 24, 1–33. https://doi.org/10.1093/oxrep/grn011

Nyakabawo, W., Miller, S. M., Balcilar, M., Das, S., & Gupta, R. (2015). Temporal causality between house prices and output in the US: a bootstrap rolling-window approach. The North American Journal of Economics and Finance, 33, 55–73. https://doi.org/10.1016/j.najef.2015.03.001

Ouyang, A. Y., Rajan, R. S., & Willett, T. D. (2010). China as a reserve sink: the evidence from offset and sterilization coefficients. Journal of International Money and Finance, 29, 951–972. https://doi.org/10.1016/j.jimonfin.2009.12.006

Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94, 621–634. https://doi.org/10.1080/01621459.1999.10474156

Price, M. (2011). Stability and housing price: monetary policy perspective. Contemporary Economic Science, 33(4), 16–24.

Saiz, A. (2010). The geographic determinants of housing supply. The Quarterly Journal of Economics, 125, 1253–1296. https://doi.org/10.1162/qjec.2010.125.3.1253

Saleh, A. J., Alazzam, F. A. F., Rabbo Aldrou, K. K. A., & Zavalna, Z. (2020). Legal aspects of the management of cryptocurrency assets in the national security system. Journal of Security & Sustainability Issues, 10(1), 235–247.

Schabert, A. (2005). Money supply and the implementation of interest rate targets (Working Paper Series No. 483). European Central Bank. https://doi.org/10.2139/ssrn.711162

Shi, Q., & Fan, F. (2017). The influence of money supply and bank credit on the changes of housing prices in China. China Real Estate, 36, 23–30.

Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in honor of Peter Schmidt: Econometric methods and applications (pp. 281–314). Springer. https://doi.org/10.1007/978-1-4899-8008-3_9

Sial, M. S., Zheng, C., Khuong, N. V., Khan, T., & Usman, M. (2018). Does firm performance influence corporate social responsibility reporting of Chinese listed companies? Sustainability, 10(7), 1–12. https://doi.org/10.3390/su10072217

Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48. https://doi.org/10.2307/1912017

Stark, D., & Bruszt, L. (1998). Postsocialist pathways: transforming politics and property in East Central Europe. Cambridge University Press.

Storper, M. (2011). Why do regions develop and change? The challenge for geography and economics. Journal of Economic Geography, 11, 333–346. https://doi.org/10.1093/jeg/lbq033

Su, C., Yin, X., Tao, R., Lobonţ, O. R., & Moldovan, N. C. (2018). Are there significant linkages between two series of housing prices, money supply and short-term international capital? – Evidence from China. Digital Signal Processing, 83, 148–156. https://doi.org/10.1016/j.dsp.2018.08.017

Su, C. W., Lu, L., Chang, H. L., & Zhao, Y. (2017a). Reserve accumulation and money supply in China: a time-varying analysis. Global Economic Review, 46, 47–64. https://doi.org/10.1080/1226508X.2017.1278711

Su, C. W., Wang, Z. F., Nian, R., & Zhao, Y. (2017b). Does international capital flow lead to a housing boom? A time-varying evidence from China. The Journal of International Trade & Economic Development, 26, 851–864. https://doi.org/10.1080/09638199.2017.1305434

Sun, T., & Wang, X. (2020). How do internal and external financial cycle differences affect China’s cross-border capital flows? Financial Research, 3, 1–20.

Szopiński, T. (2023). University students attitude to e-learning in the post-COVID-19 era. Contemporary Economics, 17(3), 311–322. https://doi.org/10.5709/ce.1897-9254.512

Telyukova, I. A., & Wright, R. (2008). A model of money and credit, with application to the credit card debt puzzle. The Review of Economic Studies, 75, 629–647. https://doi.org/10.1111/j.1467-937X.2008.00487.x

Tiwari, A. K., Bhanja, N., Dar, A. B., & Islam, F. (2015). Time–frequency relationship between share prices and exchange rates in India: evidence from continuous wavelets. Empirical Economics, 48, 699–714. https://doi.org/10.1007/s00181-014-0800-3

Tsai, I.-C. (2015). Monetary liquidity and the bubbles in the US housing market. International Journal of Strategic Property Management, 19, 1–12. https://doi.org/10.3846/1648715X.2014.973465

Tsai, I.-C. (2017). The housing market and excess monetary liquidity in China. Empirical Economics, 53, 599–615. https://doi.org/10.1007/s00181-016-1138-9

Walder, A. G. (1994). Evolving property rights and their political consequences. In D. S. G. Goodman & B. Hooper (Eds.), China’s quiet revolution: new interactions between state and society (pp. 3–18). Addison-Wesley Longman Ltd.

Wan, P., Chen, X., Ke, Y., & Dong, W. (2024). Does local government debt affect corporate social responsibility? Evidence from China. International Review of Economics & Finance, 89, 334–348. https://doi.org/10.1016/j.iref.2023.10.022

Wang, C. H., Hwang, J. T., & Chung, C. P. (2016). Do short-term international capital inflows drive China’s asset markets? The Quarterly Review of Economics and Finance, 60, 115–124. https://doi.org/10.1016/j.qref.2015.10.006

Wen, X. C., & He, L. Y. (2015). Housing demand or money supply? A new Keynesian dynamic stochastic general equilibrium model on China’s housing market fluctuations. Physica A: Statistical Mechanics and its Applications, 432, 257–268. https://doi.org/10.1016/j.physa.2015.03.040

Xu, Y., Liu, W., Zhou, J., Wong, L., & Yue, X.-G. (2022). Does the agenda-setting effect always work?: The moderating role of institution informatization. Journal of Organizational and End User Computing (JOEUC), 34(8), 1–14. https://doi.org/10.4018/JOEUC.315638

Yang, H. Z., & Ji, X. Y. (2017). Research on the correlation of China’s short-term cross-border capital flow with the volatility of RMB exchange rate and asset’s prices in China after the international financial crisis. Mathematics in Practice and Theory, (8), 26–40.

Yang, S., & Dong, M. (2017). Macro-common factors, trait factors, and the impact of monetary policy on housing prices in all-tiercities in China is based on the FAVAR model. Technical Economy, 36, 117–127.

Yang, Z., Wu, S., & Shen, Y. (2016). Monetary policy, house prices, and consumption in China: a national and regional study. International Real Estate Review, 20, 23–49. https://doi.org/10.53383/100234

Yi, C., & Huang, Y. (2014). Housing consumption and housing inequality in Chinese cities during the first decade of the twenty-first century. Housing Studies, 29(2), 291–311. https://doi.org/10.1080/02673037.2014.851179

Yin, X., & Yan, Q. (2021). Study on the impact of sino-American monetary policy on the exchange rate and housing price in China: empirical analysis based on the MS-VAR model. Rural Finance Research, 4, 47–56.

Zhang, P., Sun, L., & Zhang, C. (2021). Understanding the role of homeownership in wealth inequality: evidence from urban China (1995–2018). China Economic Review, 69, 101657. https://doi.org/10.1016/j.chieco.2021.101657

Zhou, X. (2000). Economic transformation and income inequality in urban China: evidence from panel data. American Journal of Sociology, 105(4), 1135–1174. https://doi.org/10.1086/210401