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AbstractExisting research suggests that housing demolition negatively affects labour supply through the wealth effect of the demolition compensation. However, there is limited research on the gender differences in the impact of housing demolition on labour force participation. This study investigates the effects of housing demolition on labour force participation, with a specific focus on the gender difference. Using data from the Chinese Family Panel Studies, this study reveals a significant decline in labour force participation resulting from housing demolition, primarily driven by females. Moreover, housing demolition exerts a stronger effect on the labour force participation of married women, who tend to take on more responsibilities for household chores, while its impact on married men is less evident. These findings offer valuable insights into the issue of labour shortage and underscore the importance of reducing the traditional gender‐based division of household labour.

Accessibility to transportation is a crucial factor for economic growth. Transportation land, defined as the land used to support transportation infrastructure, such as city and inter-city rail, ports, and air travel, is a critical element for constructing transportation facilities and has attracted increasing attention from researchers and policy makers. Transportation land transfer (TLT) is defined as the act by which the state transfers transportation land-use rights to a land user (collective or individual) within a certain period of time as the land owner (all land in China is owned by the state). The land user pays a land-use right transfer fee to the state. This article first reveals the multidimensional effect between TLT and economic growth based on data from China's 30 provinces for 2007–2019. The study found the following. (1) A continuous increase in the availability of transportation land is vital to ensure sustainable economic growth, and the construction of transportation land between adjacent areas has positive spatial spillover effects. (2) These positive effects work through three mechanisms, i.e., increased employment, industrial interactions, and improvements in economic operational efficiency, with a time lag. (3) The positive effects of TLT on economic growth have significant heterogeneous moderating effects on the differences in the economic development stage, the level of industrial structure, and urbanization rate. The study expands the front-end to back-end analysis of land use, provides a reference for countries and regions at different stages of development to promote economic growth using transportation land construction, and presents beneficial insights for governments to efficiently avoid the mismatch of transportation land resources.

The US has been employing quantitative easing and printing money for more than a decade, fueling inflation while lifting government debt. To deal with the high CPI, the Federal Reserve (Fed) has resorted to a policy of interest rate hikes, especially in the past two years, when the US interest rates have been on an upward trend. This has led to divergence in the economic trends and policy directions of countries, with China facing a more complex and severe external environment. In this connection, first of all, this paper gathers the response policy of each country during the Fed's interest rate hikes, makes qualitative analysis of those response policies, and provides pertinent suggestions for China's economic activities based on its national realities. Then, this paper collects data on the US interest rates, CPI, changes in nonfarm payrolls, monthly rate of retail sales, ISM manufacturing index, and ISM non-manufacturing index starting from January 2022 to December 2023, builds a model using the Triple Exponential Smoothing Method and applying statistical analysis, and solves it with python programming. Finally, the paper analyzes changes in the macro-indicators of the results and forecasts data on each indicator for the next six months to derive the trend of the data on indicators concerning future interest rate hikes. By predicting the impact of future events on China's economy, investment, foreign trade and other aspects, the author expects the country to make corresponding regulatory plans and policy reserves.