Journal of Asian Economics最新文献

Government commitment to early-life education intervention has contributed to human capital accumulation and economic growth in developing countries. Using data from the China Family Panel Studies, we investigate the effects of the primary school consolidation program on children’s cognitive development and behavioral performance. Using a cohort difference-in-differences model, we find that rural children who experienced school consolidation performed better in cognitive tests and had higher levels of openness of the Big Five personality traits, but lower levels of extraversion. Further analysis suggests that early-life education intervention generates long-term effects. Those who experienced school consolidation had higher educational attainment, better occupational fit, and more consistent independent learning, but difficulties in interpersonal interaction. Our findings imply that early-life education intervention should pay more attention to the cultivation of socio-emotional abilities.

This paper analyzes the relationship among temperature exposure, health inequality, and adaptive behavior in China, a country with diverse climate zones ranging from the cold, arid northwest to the warm, humid south. Utilizing follow-up survey data spanning from 2000 to 2015, this paper constructs a measure of health inequality at the community level. Our findings reveal that extremely cold or hot days increase the health inequality at the community level. Specifically, with each incremental rise in the day’s extreme temperature, the Gini coefficient of community health rises by 0.0032, which constitutes approximately 0.4% of the community average. Furthermore, vulnerable communities, which are characterized by low average income, education levels, per capita electricity consumption, and urbanization, are highly susceptible to the effects of extreme temperatures on health equality. From the perspective of adaptive behavior, residents in high-income communities exhibit elevated electricity consumption and engage in frequent preventive health check-ups during extreme temperature exposure. This phenomenon may exacerbate social polarization because well-resourced individuals and communities are better equipped to withstand the challenges posed by climate change and extreme weather events compared with impoverished ones. Addressing this disparity requires local managers to implement comprehensive policies and interventions that can enhance the adaptability of low-income communities, improve public health facilities, and promote social equity.

This study utilizes data from Taiwan’s “The Survey of Family Income and Expenditure” from 2011 to 2021 to examine the differences in expenditure patterns between single-person households and multi-person households. The aim is to understand the impact of being single and living alone on living expenses. The estimation results indicate that, after controlling for other variables, single-person households spend significantly more on “housing, water, electricity, gas, and other fuels”, amounting to NT$67,920 per capita higher than other families. Additionally, per capita expenditures related to maintaining the living environment and daily operations are also significantly higher for single-person households. This shows the higher fixed cost of living alone without sharing expenses with others. However, single-person households have the advantage of being able to concentrate their expenses more on themselves. Significant higher per capita expenditures on several “treating oneself well” items demonstrate the freedom that comes with single living. On the other hand, the comparison of income elasticities shows that the expenditures of single-person households fluctuate more significantly, indicating higher financial risks.

Farmers’ cooperatives serve as effective means of transforming smallholder farmers’ production methods in the process of agricultural modernization in developing countries. This paper aims to examine the credit effects of farmers’ cooperatives by employing a framework based on institutional finance theory. Based on the 2021 China Household Finance Survey data, an endogenous switching probit model is employed to explore the impact of cooperative membership on smallholder farmers’ access to credit. The research findings indicate the following: i) Farmers’ cooperatives possess information advantages, as financial institutions gain access to smallholder farmers’ information through the organized value chains of farmers’ cooperatives, leading to a direct reduction in transaction costs and an improvement in access to credit. ii) Farmers’ cooperatives can promote smallholder farmers’ agricultural investments, increase household income for smallholder farmers, enhance the liquidity of farmland, and further improve access to credit for smallholder farmers. Therefore, farmers’ cooperatives represent an inevitable trend in the agricultural modernization of developing countries. Rural financial institutions should alter their financial models and resolve adverse selection and moral hazard issues in the credit process through organizational approaches, thereby enhancing access to credit for smallholder farmers.

We investigate the impacts of robot adoption (a representative form of artificial intelligence) on outward foreign direct investment (OFDI) by firms in China. First, we construct a unique firm-level dataset of A-share listed firms and conduct empirical analysis by adopting a staggered difference-in-differences (DID) strategy. Second, we find that changes in robot adoption on both the extensive and intensive margins encourage firms to conduct more OFDIs. Specifically, robot adoption has positive effects on multidimensional categories of OFDI but has no significant impact on buying OFDI. Third, we explore the underlying mechanism to show that the rise in output and growth of total factor productivity (TFP) matter. Fourth, we conduct a series of empirical tests to check robustness and obtain consistent results. Finally, we analyze the heterogeneous effects and find that adoption firms with state-owned ownership or higher profit tend to send more OFDI projects, especially to the Organization for Economic Co-operation and Development (OECD)-rich countries. Our findings elucidate the impact of robot adoption on OFDI at the firm level in developing and transition countries.

The rapidly growing empirical studies find that reallocating physical and financial input across and within firms can be an essential productivity growth source. This paper examines the process of credit reallocation across Indian businesses by applying the methodology proposed by Davis & Haltiwanger (1992) for measuring job reallocation. Using the unique firm-level dataset for over 30 years, we find that substantial gross credit flows are masked by underlying net credit growth at any business cycle phase. Our results reveal that credit reallocation is intense, and the majority of credit reallocation occurs within a group of firms similar in size, governance, or industry. We also find that credit destruction is more volatile than credit creation, and excess reallocation fluctuates countercyclically over the business cycle. The findings suggest that heterogeneity in credit market dynamics is a prime source of credit reallocation evolution.

The uneven development of China can be reflected by the mismatch of labor and industry distributions (MLIS) in terms of spatial structure. Industries usually agglomerate in large cities where a strict household registration system causing high barriers with respect to population and labor entry. Infrastructures that reduce the cost of labor and technology mobility, as represented by high-speed rail (HSR), are possible improvement to regulate such distortions as the two agglomerated into opposite directions. This paper focuses on the impact of HSR on MLIS using a large panel dataset comprising 285 Chinese cities in 2000–2019. A difference-in-difference analysis is introduced to carried out empirical analyses. This paper finds that HSR can significantly mitigate the MLIS in prefecture level cities, but not in cities above prefecture level. The heterogeneous effects of HSR are then discussed with respect to industries and MLIS types. Further mechanism tests show that HSR’s mitigating effect on MLIS comes from the employment effect and the innovation effect. Finally, policy recommendations are provided on HSR investment to improve China's uneven development from the perspective of synergy labor and industry distributions.

In this study, we provide a new explanation for the position in global value chain (GVC)—the impact of financial development—and explore the mechanism from the perspective of research and development (R&D) intensity. Based on GVC and financial development theories, we construct a general equilibrium model and find that financial development promotes product quality by increasing a company’s R&D investment intensity, thus affecting the position in global value chain. The theoretical analysis is supported by empirical evidence based on a panel data from 32 countries between 1995 and 2018. Considering that many developing countries are still trapped in the position with low value added in GVC, our findings provide an important solution—launching financial reforms such as developing direct financing, improving financial market flexibility, and enhancing operational efficiency in the market.

The rapid development of information and communication technologies has brought about a marked change in work patterns, with teleworking emerging as a vital and complementary form of employment. The COVID-19 outbreak in 2020 led to widespread social isolation, accelerating the adoption of teleworking. Following Dingel and Neiman (2020), we construct a teleworkability index for over 4539 employees and analyze the dynamic changes in their working status in China. Our findings suggest that business and technical workers are more likely to work remotely than essential labor workers. Highly educated female workers who live in the southeast of China show the advantage of working from home. Further regression estimation indicates that, throughout 2020, workers with a higher teleworkability index can better cope with adverse shocks from the pandemic with higher return-to-work rates and higher productivity. In contrast, those with a lower teleworkability index face challenges in job retention and suffer from higher unemployment rates and severe income losses. In addition, the teleworkability index is positively associated with mental health status. This study highlights the most vulnerable segment in the labor market, those with low teleworkability, should be well targeted by the social security system.

The fiscal policy’s impact on the price level is theorized as the Fiscal Theory of Price Level (FTPL) and has been popularized since the 1980 s. Developing countries often face the problem of prolonged deficits in fiscal management and depend on public debt. Studies on the FTPL in these countries are pertinent but scarce. This paper explores the price level trajectory in the Indian economy for 1985–2019 on the premise of FTPL. Empirical assessment involves both fiscal variables (deficit, debt, public spending) and money supply. The results of the cointegrated vector autoregression model followed by an impulse response analysis reveal that fiscal deficit stimulates the price level, while public spending has a stabilizing impact. Public debt is rather inflationary, but its impact is not robust. Besides, the money supply amplifies the price level. In the price level trajectory, neither the fiscal dominance nor the monetary dominance, that is, indeterminacy, is ascertained. The proactive role of fiscal and monetary policies in the price level trajectory suggests that if the Reserve Bank of India’s stance on price-level stabilization is abreast, the fiscal authority might accomplish the appropriate strategy.