19 datasets found
  1. Replication dataset for PIIE WP 23-5, Why China's housing policies have...

    • piie.com
    Updated Jun 14, 2023
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    Tianlei Huang (2023). Replication dataset for PIIE WP 23-5, Why China's housing policies have failedby Tianlei Huang (2023). [Dataset]. https://www.piie.com/publications/working-papers/2023/why-chinas-housing-policies-have-failed
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    Dataset updated
    Jun 14, 2023
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Tianlei Huang
    Area covered
    China
    Description

    This data package includes the underlying data files to replicate the data and charts presented in Why China's housing policies have failed, PIIE Working Paper 23-5.

    If you use the data, please cite as: Huang, Tianlei. 2023. Why China's housing policies have failed. PIIE Working Paper 23-5. Washington, DC: Peterson Institute for International Economics.

  2. o

    Replication data for: A Real Estate Boom with Chinese Characteristics

    • openicpsr.org
    Updated Feb 1, 2017
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    Edward Glaeser; Wei Huang; Yueran Ma; Andrei Shleifer (2017). Replication data for: A Real Estate Boom with Chinese Characteristics [Dataset]. http://doi.org/10.3886/E113990V1
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    Dataset updated
    Feb 1, 2017
    Dataset provided by
    American Economic Association
    Authors
    Edward Glaeser; Wei Huang; Yueran Ma; Andrei Shleifer
    Area covered
    China
    Description

    Chinese housing prices rose by over 10 percent per year in real terms between 2003 and 2014 and are now between two and ten times higher than the construction cost of apartments. At the same time, Chinese developers built 100 billion square feet of residential real estate. This boom has been accompanied by a large increase in the number of vacant homes, held by both developers and households. This boom may turn out to be a housing bubble followed by a crash, yet that future is far from certain. The demand for real estate in China is so strong that current prices might be sustainable, especially given the sparse alternative investments for Chinese households, so long as the level of new supply is radically curtailed. Whether that happens depends on the policies of the Chinese government, which must weigh the benefits of price stability against the costs of restricting urban growth.

  3. Floor space of completed buildings in China 1998-2024

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Floor space of completed buildings in China 1998-2024 [Dataset]. https://www.statista.com/statistics/243316/floor-space-completed-buildings-in-china/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, real estate developers in China completed ****** million square meters of floor space, representing a significant drop of almost ** percent from the previous year. Housing completion figures in China have generally decreased over the last decade, owing to structural challenges in the real estate industry. The ups and downs of the Chinese real estate market Following the marketization of the housing sector in the late *****, China's real estate industry has enjoyed more than two decades of prosperity. The output value of the sector multiplied several times, with home prices rising sharply across the country and some properties in urban centers such as Beijing and Shanghai being among the most expensive in the world. While being a pillar industry in the country’s economy, the real estate sector has also stimulated the development of many related industries, such as construction and financial services. The property bubble and unfinished buildings The former expansion of the housing market had created a considerable bubble in the sector, which finally burst during the COVID-19 pandemic. Many apartments, especially the tower blocks in small or medium-sized cities and towns remained unsold or left unoccupied, leading to financial turmoil for real estate developers. The failure of major market players such as China Evergrande and Country Garden resulted in more than a million unfinished apartments in China.

  4. Average real estate sale price in China 1998-2023

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Average real estate sale price in China 1998-2023 [Dataset]. https://www.statista.com/statistics/242851/average-real-estate-sale-price-in-china/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2023, the average price of real estate in China was approximately ****** yuan per square meter, representing a decrease from the previous year. Rising prices in the real estate market Since the 1998 housing reform, property prices in China have been rising continuously. Housing in the country is now often unaffordable, especially considering the modest per capita income of Chinese households. Shanghai and Beijing even have some of the most competitive real estate markets in the world. The rapid growth in housing prices has increased wealth among homeowners, while it also led to a culture of speculation among buyers and real estate developers. Housing was treated as investments, with owners expecting the prices to grow further every year. Risk factors The expectation of a steadily growing real estate market has created a property bubble and a potential debt crisis. As Chinese real estate giants, such as China Evergrande and Country Garden, operate by continuously acquiring land plots and initiating new projects, which often require substantial loans and investments, a slowdown in property demands or a decline in home prices can significantly affect the financial situation of these companies, putting China’s banks in a vulnerable position. In addition, due to a lack of regulations and monetary constraints, the long-term maintenance issues of high-rise apartments are also a concern to the sustainable development of China’s cities.

  5. o

    Replication data for: The Great Housing Boom of China

    • openicpsr.org
    Updated Oct 12, 2019
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    Kaiji Chen; Yi Wen (2019). Replication data for: The Great Housing Boom of China [Dataset]. http://doi.org/10.3886/E114102V1
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    Dataset updated
    Oct 12, 2019
    Dataset provided by
    American Economic Association
    Authors
    Kaiji Chen; Yi Wen
    Area covered
    China
    Description

    China's housing prices have been growing nearly twice as fast as national income over the past decade, despite a high vacancy rate and a high rate of return to capital. This paper interprets China's housing boom as a rational bubble emerging naturally from its economic transition. The bubble arises because high capital returns driven by resource reallocation are not sustainable in the long run. Rational expectations of a strong future demand for alternative stores of value can thus induce currently productive agents to speculate in the housing market. Our model can quantitatively account for China's paradoxical housing boom.

  6. f

    Estimation results in China.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Fengyun Liu; Deqiang Liu; Reza Malekian; Zhixiong Li; Deqing Wang (2023). Estimation results in China. [Dataset]. http://doi.org/10.1371/journal.pone.0173287.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Fengyun Liu; Deqiang Liu; Reza Malekian; Zhixiong Li; Deqing Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Estimation results in China.

  7. f

    Impacts of housing price’s deviation from the basic price on economic...

    • plos.figshare.com
    xls
    Updated Jan 11, 2024
    + more versions
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    Wei Fan; Yun He; Liang Hao; Fan Wu (2024). Impacts of housing price’s deviation from the basic price on economic growth. [Dataset]. http://doi.org/10.1371/journal.pone.0295311.t008
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    xlsAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Wei Fan; Yun He; Liang Hao; Fan Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Impacts of housing price’s deviation from the basic price on economic growth.

  8. Top Chinese property developers on the Fortune China 500 ranking 2024

    • statista.com
    Updated Jul 11, 2025
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    Top Chinese property developers on the Fortune China 500 ranking 2024 [Dataset]. https://www.statista.com/statistics/454494/china-fortune-500-leading-chinese-real-estate-companies/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    China
    Description

    On the 2024 Fortune China *** ranking for real estate companies, China’s leading real estate developer Poly Real Estate ranked first with a total revenue of 74 million U.S. dollars, followed by Greenland Holdings and Country Garden. Real estate market in China  In the last 20 years, China’s real estate market has experienced its most prosperous development. Land purchase has also become an important source of financial revenue for many local governments. The housing price increased so rapidly, especially in larger cities, that the government had to take measures to restrict investment. With the slowdown of China’s economic development and gradually saturated market, people are also afraid of the burst of the real estate bubble. While the real estate price in smaller cities tended to stay stable or even decrease, there is still growing potential for real estate prices in larger cities, especially the first-tier cities. China’s consumers are increasingly interested in the high-quality real estate products built by leading real estate developers. Leading real estate developers in China  Compared to the ranking in 2021, there were ***** new members entering the leading ten real estate developer club in 2022. The larger developers became stronger as they had advantages in land acquisitions, financing, marketing and pricing power which is difficult for smaller developers to catch up with. Thus, consolidation is also very common among China’s real estate developers. In 2022, *** real estate giants disappeared from the fortune *** ranking list, Evergrande and Sunac. Affected by the changing real estate market, they were facing cash flow problems and were affected heavily by the debt crisis.

  9. f

    S1 Data -

    • figshare.com
    xlsx
    Updated Jan 11, 2024
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    Wei Fan; Yun He; Liang Hao; Fan Wu (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0295311.s001
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    xlsxAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Wei Fan; Yun He; Liang Hao; Fan Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Moderate rising of house prices are beneficial to the economic development. However, over high house prices worsen the economic distortions and thus hinder the development of the real economy. We use the stochastic frontier models to calculate the fundamental value in the housing in Chinese large and medium cities, and then obtain indexes which could measure the house prices’ deviations from the fundamental value. With the macroeconomic data in the city-level, this paper empirically investigates the effects of the house prices’ deviations on macro-economic variables like consumption, investment and output. The study reveals that the housing bubble exists in most Chinese cities, and first-tier cities fare the worst. House prices over the fundamental value, which could increase the scale of real estate investment, bring adverse impacts on GDP, as it causes declining civilian consumption and discourages real economy’s investment and production. The encouragement and the discouragement on macroeconomy caused by house prices’ deviation from its basic value take turns to play a key role in the process of China’ eco-nomic growth. In the early stage of China’s economic growth, the encouragement effect predominates. As urbanization and industrialization gradually upgrade to a higher level, the discouragement effect takes charge.

  10. f

    Estimated bubble sizes of residential commodity buildings in China’s major...

    • figshare.com
    xls
    Updated Jun 4, 2023
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    Fengyun Liu; Deqiang Liu; Reza Malekian; Zhixiong Li; Deqing Wang (2023). Estimated bubble sizes of residential commodity buildings in China’s major 35 cities (%). [Dataset]. http://doi.org/10.1371/journal.pone.0173287.t014
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Fengyun Liu; Deqiang Liu; Reza Malekian; Zhixiong Li; Deqing Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Estimated bubble sizes of residential commodity buildings in China’s major 35 cities (%).

  11. f

    Robustness test (GMM estimation).

    • plos.figshare.com
    xls
    Updated Jan 11, 2024
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    Wei Fan; Yun He; Liang Hao; Fan Wu (2024). Robustness test (GMM estimation). [Dataset]. http://doi.org/10.1371/journal.pone.0295311.t016
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Wei Fan; Yun He; Liang Hao; Fan Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Moderate rising of house prices are beneficial to the economic development. However, over high house prices worsen the economic distortions and thus hinder the development of the real economy. We use the stochastic frontier models to calculate the fundamental value in the housing in Chinese large and medium cities, and then obtain indexes which could measure the house prices’ deviations from the fundamental value. With the macroeconomic data in the city-level, this paper empirically investigates the effects of the house prices’ deviations on macro-economic variables like consumption, investment and output. The study reveals that the housing bubble exists in most Chinese cities, and first-tier cities fare the worst. House prices over the fundamental value, which could increase the scale of real estate investment, bring adverse impacts on GDP, as it causes declining civilian consumption and discourages real economy’s investment and production. The encouragement and the discouragement on macroeconomy caused by house prices’ deviation from its basic value take turns to play a key role in the process of China’ eco-nomic growth. In the early stage of China’s economic growth, the encouragement effect predominates. As urbanization and industrialization gradually upgrade to a higher level, the discouragement effect takes charge.

  12. House-price-to-income ratio in selected countries worldwide 2024

    • statista.com
    • ai-chatbox.pro
    Updated May 6, 2025
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    Statista (2025). House-price-to-income ratio in selected countries worldwide 2024 [Dataset]. https://www.statista.com/statistics/237529/price-to-income-ratio-of-housing-worldwide/
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

  13. f

    Impacts of housing price’s deviation from the basic price on consumption.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jan 11, 2024
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    Wei Fan; Yun He; Liang Hao; Fan Wu (2024). Impacts of housing price’s deviation from the basic price on consumption. [Dataset]. http://doi.org/10.1371/journal.pone.0295311.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Wei Fan; Yun He; Liang Hao; Fan Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Impacts of housing price’s deviation from the basic price on consumption.

  14. f

    Effects of house prices’ deviation from the fundamental prices on output.

    • plos.figshare.com
    xls
    Updated Jan 11, 2024
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    Wei Fan; Yun He; Liang Hao; Fan Wu (2024). Effects of house prices’ deviation from the fundamental prices on output. [Dataset]. http://doi.org/10.1371/journal.pone.0295311.t010
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Wei Fan; Yun He; Liang Hao; Fan Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Effects of house prices’ deviation from the fundamental prices on output.

  15. f

    Output responses to changes in house prices’ deviation from the fundamental...

    • figshare.com
    xls
    Updated Jan 11, 2024
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    Wei Fan; Yun He; Liang Hao; Fan Wu (2024). Output responses to changes in house prices’ deviation from the fundamental prices. [Dataset]. http://doi.org/10.1371/journal.pone.0295311.t009
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    xlsAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Wei Fan; Yun He; Liang Hao; Fan Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Output responses to changes in house prices’ deviation from the fundamental prices.

  16. f

    Analysis of the stochastic frontier model’s results.

    • plos.figshare.com
    xls
    Updated Jan 11, 2024
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    Wei Fan; Yun He; Liang Hao; Fan Wu (2024). Analysis of the stochastic frontier model’s results. [Dataset]. http://doi.org/10.1371/journal.pone.0295311.t002
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    xlsAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Wei Fan; Yun He; Liang Hao; Fan Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of the stochastic frontier model’s results.

  17. f

    Difference in difference.

    • plos.figshare.com
    xls
    Updated Jun 3, 2025
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    Fang Liu; Chen Liang (2025). Difference in difference. [Dataset]. http://doi.org/10.1371/journal.pone.0325274.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Fang Liu; Chen Liang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Considering the notable influence of traditional Confucian culture on China’s housing market, this study introduces an innovative index to quantify the magnitude of the real estate bubble within China, employing a familial generational iterative model. Utilizing rent-buy policy as a conceptual framework, our research constructs a difference-in-differences model to investigate the impact of macroeconomic policies on the housing bubble phenomenon. Empirical observations from 2022 reveal pronounced bubble dynamics in first and second-tier cities, while housing prices in third and fourth-tier cities, alongside select fifth-tier cities, exhibit a declining trend. On a national scale, apart from minor affordability observed during 2005–2007, no significant affordability was identified in other years, with the housing price bubble index demonstrating a downward trajectory from 2020 to 2022. Furthermore, the implementation of the rent-buy policy that equality the rights of renter and owner has directly influenced the housing market, notably mitigating the overall escalation of housing prices. Additional analysis indicates that the rent-and-buy policy has been more successful in curbing price hikes in newly constructed and smaller-sized housing units compared to second-hand and larger-scale properties.

  18. f

    Ratios of the average commodity building price to the average monthly salary...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Fengyun Liu; Deqiang Liu; Reza Malekian; Zhixiong Li; Deqing Wang (2023). Ratios of the average commodity building price to the average monthly salary per capita from 2001 to 2014 in Beijing and Shanghai in China*. [Dataset]. http://doi.org/10.1371/journal.pone.0173287.t017
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Fengyun Liu; Deqiang Liu; Reza Malekian; Zhixiong Li; Deqing Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Beijing, Shanghai, China
    Description

    Ratios of the average commodity building price to the average monthly salary per capita from 2001 to 2014 in Beijing and Shanghai in China*.

  19. f

    Robustness tests of rent-buy policies on house prices.

    • plos.figshare.com
    xls
    Updated Jun 3, 2025
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    Fang Liu; Chen Liang (2025). Robustness tests of rent-buy policies on house prices. [Dataset]. http://doi.org/10.1371/journal.pone.0325274.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Fang Liu; Chen Liang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Robustness tests of rent-buy policies on house prices.

  20. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Tianlei Huang (2023). Replication dataset for PIIE WP 23-5, Why China's housing policies have failedby Tianlei Huang (2023). [Dataset]. https://www.piie.com/publications/working-papers/2023/why-chinas-housing-policies-have-failed
Organization logo

Replication dataset for PIIE WP 23-5, Why China's housing policies have failedby Tianlei Huang (2023).

Explore at:
Dataset updated
Jun 14, 2023
Dataset provided by
Peterson Institute for International Economicshttp://www.piie.com/
Authors
Tianlei Huang
Area covered
China
Description

This data package includes the underlying data files to replicate the data and charts presented in Why China's housing policies have failed, PIIE Working Paper 23-5.

If you use the data, please cite as: Huang, Tianlei. 2023. Why China's housing policies have failed. PIIE Working Paper 23-5. Washington, DC: Peterson Institute for International Economics.

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