As China’s population ages, more older workers are participating in the labor market, including a significant number of older migrant workers moving to urban areas. However, surprisingly little research has been done on their destination city and employment patterns. This paper addresses this gap by investigating the impact of city-level and industry specialization on the employment prospects of older migrant workers. Using both individual- and city-level data, we find that unlike prime-age migrant workers, older migrant workers have higher employment probabilities in relatively less-developed lower-tier Chinese cities than in better-developed high-tier cities like Shanghai, Beijing, Shenzhen, or Guangzhou. This phenomenon is driven by industry specialization, particularly in the construction sector, which fosters a dense labor market and facilitates higher job-finding rates. Additionally, construction firms and real estate developers in lower-tier cities are more willing to offer better wages than those in high-tier cities, which aligns with older migrant workers’ relatively moderate education profile and wage preferences over housing costs.

The implementation of prefabricated housing (PH) has become prevalent in China recently because of its advantages in improving production efficiency and saving energy. However, the benefits of adopting PH cannot always be accrued by the stakeholders because of the arising transaction costs (TCs) in the projects’ development process. This study investigates the strategies for developers to make rational choices for minimizing the TCs of the PH project considering their own attributes and external constraints. A Bayesian Belief Network model was applied as the analytical method, based on the surveys in China. The single sensitive analysis indicated that developers influence the TCs of PH through the three most impactful factors: Prefabrication rate, PH experience, and Contract payment method. Furthermore, combined strategies were recommended for developers in various situations based on the multiple sensitivity analysis. Developers facing high prefabrication rate challenges are suggested to reduce the risks by procuring high-qualified general contractors and adopting unit-price contracts type. For developers with limited PH experience, adopting the Engineering-Procurement-Construction procurement method is the most efficient in reducing their TCs in the context of China’s PH market. This study contributes to the current body of knowledge concerning the effect of traders’ attributes and choices on TCs, expanding the application of TCs theory and fulfilling the study on the determinants of TCs in construction management.

This paper provides the first theory and evidence on the role of presale policies in the residential housing market. We start with constructing a novel dataset of unfinished projects, presale policies, and land auction outcomes across 270 major cities in China. We then identify 2,330 unfinished residential projects from 2010 to 2017 on a citizen complaint website run by the central government. We find that both presale criterion and postsale supervision of construction costs relate to a lower probability of unfinished projects. But only presale criterion relates negatively to the pace of new housing development, measured by developers' multitasking and land auction outcomes. A back-of-the-envelope calculation suggests that the average bundle of presale policies is inferior to the Pareto frontier in our sampled cities. Tightening the regulation on postsale supervision by 2 standard deviations may lead to a 58% reduction in the occurrence of unfinished projects, while keeping the pace of new housing development unchanged. Eliminating unfinished projects would entail a drastic increase in both presale criterion and postsale supervision, with slower housing development.

This paper reviews the current housing crisis in China and explores the roles of supply-demand imbalances and local governments in the real estate sector. To prevent the housing downturn from further dragging down economic growth, Beijing suspended the financing restrictions on developers imposed in August 2020. These restrictions, known as the “three red lines” that limited new borrowing by developers, led Chinese property developers to default on a record number of debt obligations and triggered the most serious housing slump China has seen since 1998. The property sector saw its value added decline by more than 5 percent in 2022, even as the overall economy grew at 3 percent. But the current dynamics in the housing market reflect a repeated pattern: Loosening financing restrictions on developers and using housing as a macroeconomic stabilization tool risks reinforcing the boom-bust housing cycle. China’s real estate sector is a systemic problem. Without serious reforms to address concerns such as supply-demand imbalances and local governments’ deep connections with real estate, housing slumps like the one in 2022 may recur.