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This paper empirically investigates the impact of public long-term care insurance (LTCI) on the utilization of inpatient services and associated expenditures among disabled Chinese individuals, using data from the China Health and Retirement Longitudinal Study from 2011 to 2018. Employing a staggered difference-in-difference approach within a propensity score matching framework (PSM-DID), the study finds that the introduction of LTCI significantly reduces the likelihood of inpatient service usage by 4.2%, the annual number of inpatient admissions by 10.2%, the annual inpatient cost by 16.2%, the out-of-pocket expenses by 20.7%, and the reimbursement expenditure by the public medical insurer by 9.9%. The study further explores the mechanisms underlying these effects and identifies that the Substitution Effect, where care services in community healthcare centers and nursing homes replace hospitalizations, outweighs the Income Effect generated by LTCI benefits. By leveraging the quasi-natural experimental setting of diverse LTCI policies across cities, the study also examines the heterogeneous impacts of LTCI based on household income, eligibility criteria, and reimbursement methods. The findings underscore the positive role of LTCI in controlling medical expenses and alleviating congestion in urban hospitals, offering valuable insights for promoting "Healthy Aging".

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Since the emergence of smart logistics as a vital paradigm, it has garnered significant interest from independent firms and governments worldwide, including China. This study aims to examine the relationship between Smart Logistics Policy (SLP) and firm performance both theoretically and empirically. Utilizing data from A-share companies listed on the Shanghai and Shenzhen stock exchanges between 2012 and 2017, this study analyzes the relationship between SLP and firm performance using Propensity Score Matching (PSM) and Difference-in-Differences (DID). The results indicate that SLP significantly enhances a firm's financial performance. Additionally, a heterogeneity test on financial performance reveals that the impact of SLP varies based on ownership and industrial sector. Unexpectedly, SLP has a negative impact on corporate social responsibility (CSR) performance. The heterogeneity test on CSR performance shows that the SLP effect on CSR exhibits no significant difference based on ownership. Furthermore, the impact of SLP on CSR is significantly greater for manufacturing firms compared to non-manufacturing firms. Consequently, this study offers theoretical support and empirical evidence regarding the effects of SLP on firm performance.

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This article reports on a study that examined the impact of a flipped English as a Foreign Language (EFL) course on college students' second language (L2) development. Specifically, an 18-week quasi-experiment was administered in a general English course at a Chinese university, with a total of 612 first-year students randomly assigned to the treatment (n = 137) and control (n = 475) groups. Using the propensity score matching and difference-in-differences (PSM-DID) model, we analyzed norm scores on high-stakes assessments administered on the entry and completion of the intervention. The results revealed a causal link between flipped learning (FL) and improved L2 language performance though the impact of FL had substantial heterogeneity as greater gains were found in reading than in writing and listening. Quantile regression analysis suggested the effectiveness of FL varied greatly by proficiency level in that students in the lowest quantiles achieved high improvement in reading and listening but moderate improvement in writing. We discuss the pedagogical implications of these findings to college L2 flipped instruction and recommend that future research be conducted in a more rigorous experimental design to obtain robust and accurate estimates of the effectiveness of FL.

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As a global public health problem, sedentary behavior has attracted more and more attention. Although numerous studies have demonstrated many benefits of green spaces to health, causal evidence on how green spaces affect people's sedentary behavior is scarce. This study used a natural experiment to evaluate the impact of greenway intervention on sedentary behavior. Two waves of data were collected in 2016 and 2019 (before and after the intervention) at East Lake Greenway (102-km-long) in Wuhan, China, with 1020 participants in 52 neighborhoods. We adopted three major methods to evaluate the impact of greenway intervention on sedentary behavior, including Propensity Score Matching and difference-in-difference (PSM-DID) method (with both individual and neighborhood variables to match samples), continuous treatment DID method (with distance to the greenway as the continuous treatment), and mediation analysis (with moderate to vigorous physical activity or MVPA, and walking time as the mediator). The results revealed that the greenway intervention significantly reduced participants' sedentary time and the intervention has a distance decay effect. The closer to the greenway, the greater decrease in sedentary time after the greenway opening. Furthermore, we found that MVPA and walking time mediate the impact of the greenway intervention on the change in sedentary behavior. The effect of greenway intervention was more beneficial for those under the age of 60, those who were employed, or those who were married. Our findings provided robust evidence that exposure to urban greenways affects sedentary behavior and such green infrastructures help protect public health in high-density urban areas.

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Based on panel data from 2011 to 2019 for heavily polluting listed firms in the manufacturing industry, this paper examines the impact of environmental taxes on technological innovation and firm performance using the propensity score matching (PSM) and differences-in-differences (DID) methods. The empirical results show the following: (i) Firm performance and innovation quantity are positively affected by environmental taxes. The average effects of environmental taxes on firm performance and innovation quantity are 1.28 and 0.219, respectively. However, environmental taxes have no significant impact on innovation quality. (ii) A mechanism analysis reveals that innovation quantity plays a significant partial mediating role in the positive effect of environmental taxes on firm performance. (iii) Heterogeneity analysis shows that different environmental tax rates lead to a variation in innovation quantity and firm performance across regions. The positive effect of environmental taxes on innovation quantity is only confirmed in high-tax and low-tax areas. Meanwhile, high environmental taxes are related to better firm performance. Based on the research, policy recommendations are put forward to optimise environmental taxes, such as improving the environmental tax system and coordinating environmental tax and innovation policies.

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The issue of global climate change has garnered increasing attention, with carbon emissions emerging as a significant challenge confronting the world today. As an important means of environmental management, river basin ecological compensation must break through the traditional thinking of "water-centric" and move towards the coordinated development of "pollution reduction". Therefore, the study chooses the watershed scale ecological compensation experiment carried out in the Yangtze River Economic Belt as a natural experiment. Based on the prefecture-level city panel data from 2008 to 2021, a double difference model is constructed to examine the impact of the basin horizontal ecological compensation policy on carbon emissions and its mechanism. The study shows that the inter-regional horizontal ecological compensation measures have an obvious inhibitory effect on carbon emissions in the region, and through a series of tests, the conclusion is stable. Mechanism testing shows that policy implementation achieves carbon emission reductions through two channels: improving financial development and promoting scientific and technological innovation. The results of heterogeneity analysis verify that the effect of policy implementation is affected by the dual factors of social economy and innovation and entrepreneurship and that key cities and cities with a high innovation and entrepreneurship environment produce higher carbon emission reduction benefits. The research conclusions provide policy suggestions for promoting watershed ecological compensation policies to achieve carbon emission reduction from three aspects: encouraging small and medium-sized watersheds to implement city-specific policies, promoting innovative technologies and establishing monitoring and evaluation mechanisms, and strengthening policy support and financial investment.

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Based on China's empirical data from 2000 to 2020 of 1875 county-level administrative units, combined with the multi-phase by the propensity score matching and difference-in-difference (PSM-DID) model, this paper studies the impact of clean energy demonstration province policies on the carbon intensity of pilot counties, and its further impact on carbon emissions and economic development level. The results showed that 1. from a county-level perspective, although the economic development level of the pilot areas of clean energy demonstration provinces has improved as the carbon emissions have also increased, what is more, the carbon intensity has also significantly improved in this process; 2. there is no time lag in the impact of policies on the carbon intensity of counties, and the impact effects gradually increase over time along with strong regional heterogeneity; 3. the clean energy demonstration policy has weakened the technological level of the county and reduced the proportion of industrial-added value to GDP, thereby increasing the carbon intensity of the county through these intermediaries.

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Maximizing socioeconomic and environmental benefits with minimal investment in urban land resources is a key concern for sustainable urban development. The emission trading system is an important strategy of the Chinese government to control environmental pollution and promote green development, but whether it improves urban land green use efficiency is still unclear. Combining the concept of green development with urban land use efficiency, this paper uses the super-efficiency slack-based measure (SBM) model with undesirable outputs to measure the land green use efficiency of 261 prefecture-level cities in China from 2003 to 2017. In addition, the propensity score matching difference-in-differences (PSM-DID) method and the mediating effect model were used to test the impact of the China's emission trading system on urban land green use efficiency and behind the mechanism. According to the findings, China's emission trading system has significantly improved urban land green use efficiency, compared with that in nonpilot cities, urban land green use efficiency in pilot cities has increased by 10.40%. Moreover, the policy effect of the emission trading system is more significant in resource-based cities and cities with a high intensity of environmental regulations. Further mechanism analysis reveals that green technology innovation and industrial structure upgrading are effective transmission mechanisms for China's emissions trading policy to improve urban land green use efficiency. The findings provide policy implications for promoting the sustainable use of urban land resources and advancing the coordinated development of urban socioeconomic and ecological environments.

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China's rapid economic development in recent decades has come at a considerable environmental cost. This paper explores whether atmospheric quality monitoring policy (AQMP) improves eco-efficiency by using AQMP as a natural experimental group. We assessed the eco-efficiency of 285 cities in China from 2009 to 2019 using the super-efficient SBM model and estimated the impact of AQMP using the propensity score method Difference-in-Difference (PSM-DID) model. The key findings of this paper are as follows: First, AQMP can enhance eco-efficiency, promoting sustainable urban development. Second, governmental and non-governmental organizations play contrasting roles in either fostering or reversing the positive effects of AQMP. Factors like innovation, clean energy adoption, and industrial structure have a positive mediating influence. Finally, the impact of AQMP on eco-efficiency varies across cities, displaying heterogeneity. Specifically, AQMP has a positive effect on eco-efficiency in resource-rich cities, small and medium-sized urban centers, smart cities, and coastal areas. These findings carry significant implications for the establishment of dynamic monitoring networks and the advancement of eco-efficiency in emerging countries, including China.

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Introduction: Enhancing the wellbeing of residents through universal health coverage (UHC) is a long-term policy goal for China. In 2016, China integrated the New Rural Cooperative Medical Scheme (NRCMS) and the Urban Resident Basic Medical Insurance (URBMI) into the Urban and Rural Resident Basic Medical Insurance (URRBMI) to address the problem of fragmentation. Objective: The objective of this study was to investigate whether the integration of basic medical insurance had an impact on the subjective wellbeing of Chinese residents. Methods: Using the China Household Finance Survey data of 2015 and 2019, we empirically estimated the influence of the integration of basic medical insurance on Chinese residents through the difference-in-difference method based on propensity score matching (PSM-DID). Results: Our findings indicate that the integration of basic medical insurance improved the subjective wellbeing of the insured population. Additionally, through heterogeneity testing, we validated that the integration increased the subjective wellbeing of residents from less developed regions in West China and rural areas, as well as those with older adult dependents. However, the subjective wellbeing of low-income groups, who were expected to benefit more from the URRBMI, did not improve significantly, at least in the short term. Conclusion: According to our research, the integration of basic medical insurance in China supports the country's objective of achieving equality and providing universal benefits for its residents. The introduction of the URRBMI has had a positive impact on the subjective wellbeing of insured individuals. This is particularly beneficial for disadvantaged groups in less developed regions, as well as for residents with older adult dependents. However, the subjective wellbeing of the middle-income group has improved significantly, whereas that of the low-income group, despite being the intended beneficiaries of the integration, did not show significant improvement. Recommendations: From a funding perspective, we recommend establishing a dynamic adjustment funding system that links residents' medical insurance funding standards with their disposable income. Regarding the utilization of the URRBMI, the benefit packages should be expanded, particularly by covering more outpatient services through risk pooling. We call for further research with additional data and continued efforts on improving wellbeing of residents, particularly for disadvantaged populations.

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The construction of trade power and green low-carbon transformation are common high-quality development goals for countries worldwide. The depth of the environmental provisions contained in different countries' intercountry trade agreements and the implicit carbon data of intercountry trade are accurately measured based on the textual analysis of trade agreement rules, and it is empirically found that enhancing the depth of the environmental provisions contained in trade agreements can significantly reduce CO2 emissions embodied in international trade. The capacity of intercountry green technology cooperation to strengthen the internal environmental governance capacity of countries and to enhance carbon productivity is an important transmission mechanism. The effect of the environmental provisions in different types of trade agreements on reducing trade-implied carbon is obviously heterogeneous; the higher the level of correlation with carbon emissions is, the stronger the effect of trade agreement provisions, and that effect is more significant in developed countries and in the reduction of foreign carbon emissions that are embedded in export products. In this paper, the impact of the depth of the environmental provisions of trade agreements on trade-implied carbon under the same framework is directly studied, which not only advances the measurement of the depth of the environmental provisions of trade agreements and expands the research field on the scope of influence of existing trade agreements but also fully accounts for the role of the effectiveness of environmental provisions in different contexts and provides a theoretical basis for the optimization of future environmental provisions.

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Under the strategic deployment of dual carbon goals, China has entered the stage of high-quality development of low-carbon economic transformation. Green finance is an important tool to provide financing support for the development of green low-carbon projects and prevent environmental and climate financial risks. Whether and how it can help the implementation of the dual carbon goals is worth pondering and studying. Based on this background, this study considers the green finance reform and innovation pilot policy zone jointly issued by the Central People's Bank of China, National Development, and Reform Commission in 2017 as a natural experiment. Based on the panel data of 288 cities nationwide from 2010 to 2019, the effect of emission reduction is estimated using the PSM-DID method. The following conclusions are drawn: (1) The green finance policy has effectively improved the city's environmental quality, and the pilot effect of green finance has a certain lag on SO2 emissions and industrial smoke (dust) emissions; (2) the mechanism inspection shows that the policy mechanism has promoted the technological innovation level, sewage treatment capacity, and garbage harmless treatment capacity of the pilot area to a certain extent; and (3) the impact of green finance policy on environmental quality has regional and industrial characteristics heterogeneity. The green finance pilot policy in eastern and central regions will inhibit SO2 emissions, but the emission reduction effect in western regions is not significant; The implementation of the pilot policy of the green financial reform and innovation pilot zone has significantly reduced the sulfur dioxide emissions of the old industrial base cities, but the effect of the policy on non-old industrial bases is not obvious. The research conclusion has important enlightenment significance for further improving the construction of financial system, promoting the green transformation of regional industry, and improving the quality of urban environment.

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China has long exercised environmental control through the imposition of sewage charges. The start of the environmental protection tax on January 1, 2018, means that China has entered a new phase of environmental control. Unlike many previous studies on the role of environmental taxes at the firm level, this paper examines whether environmental taxes affect pollution emissions by influencing the behavioral choices of micro-actors. This paper first reviews the Pyrrhic tax, the Porter hypothesis, and the "double dividend effect." We then construct provincial panel data for 30 provinces in China from 2012 to 2019 as a sample, use the environmental protection tax as a natural experiment to evaluate the policy of this environmental protection tax using propensity score matching and difference-in-differences model, investigate the intermediate transmission mechanism of the policy implementation, and then analyze the differences in policy effects between provinces with different levels of economic development. The increased tax burden in 2018 led to a general reduction in provincial pollution emissions in which technological innovation by various groups, including firms and universities, had a mediating role.

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Based on the panel data of prefecture-level cities in China from 2006 to 2019, this paper uses the PSM-DID method to empirically test the internal impact mechanism among high-speed railway opening, inter-regional factor allocation efficiency, and urban environmental governance. The research results show that: (1) There is a serious factor-misallocation problem among prefecture-level cities in China. From 2006 to 2019, the factor misallocation between prefecture-level cities led to an average annual loss of total factor productivity in China's economy of 52.5%, an average labor misallocation of 23.16%, and an average capital misallocation of 18.69%. Since 2013, capital misallocation has exceeded labor misallocation as the main reason for factor misallocation among prefecture-level cities in China. (2) The opening of high-speed railways can promote the efficiency of urban factor allocation through the technological innovation effect, the foreign investment attraction effect, and the population agglomeration effect. The improvement of urban factor allocation efficiency can promote the improvement of urban environmental quality through the effects of industrial structure optimization, income enhancement, and human capital agglomeration. Therefore, the opening of a high-speed railway can improve urban environmental quality through the intermediary effect of improving the efficiency of urban factor allocation; that is, the opening of a high-speed railway has a dual positive effect of economic efficiency and environmental quality improvement. (3) The optimization effect of factor allocation and the environmental governance effect of the opening of high-speed railways have strong urban scale heterogeneity, urban characteristic heterogeneity, and regional heterogeneity. The research content of this paper has important guiding significance for the construction of China's new development paradigm, accelerating the construction of "a unified national market," and green and low-carbon development.

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From the synergetic perspective of "Environment-Economy," this paper defines the enterprises' emission reduction performance as the financial income and ecological benefits obtained of implementing emission reduction measures. Based on the resource-based theory and ecological modernization theory, applying 314 listed construction companies' data from 2005 to 2020, the PSM-DID method is adopted to empirically research the effect and mechanism of carbon emission reduction alliance on the emission reduction performance of construction enterprises. The research shows that ① the carbon emission reduction alliance can improve the enterprises' emission reduction performance. However, it is only significant for environmental benefit but not for economic benefit. After the parallel trend test and placebo test, this conclusion is still valid. ② The regression results of the mechanism demonstrate that the carbon emission reduction alliance can promote green innovation, thereby boosting the enterprises' emission reduction performance. The knowledge absorption capacity of enterprises positively regulates the main effect and intermediary effects. ③ Further analysis indicates that there is a U-shaped relationship between green innovation and economic emission reduction performance and an inverted U-shaped connection with emission reduction performance from an environmental perspective.

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Introduction: Disability is a global public health problem, and poverty due to illness and disability has always been a major problem and challenge for global poverty governance. In order to eradicate poverty, China has carried out a series of welfare reforms and employment interventions for people with disabilities. The purpose of this study is to examine the levels of multidimensional poverty of persons with disabilities aged 16-59 in China and the poverty reduction effect of employment services. Methods: The Alkire-Foster (AF) method is applied to measure and decompose the multidimensional poverty index (MPI) of people with disabilities in this study. In order to make the results more robust, ordinary least squares (OLS) regression and the combination of propensity score matching and difference-in-differences (PSM-DID) are used to study the effect of employment services on multidimensional poverty of the disabled. Results: The results show that among persons with disabilities aged 16-59, about 90% are deprived in at least one dimension, and about 30% are in a state of severe multidimensional poverty until 2019. The contributions of deprivation in the dimensions of education and social participation are remarkably higher than dimensions of economy, health and insurance. In addition, employment services have a significant improvement effect on multidimensional poverty, which is reflected not only in the economic dimension, but also in the dimensions of education, insurance and social participation. Conclusion: People with disabilities are generally in multidimensional poverty in China, and their abilities in learning and social integration are seriously inadequate. Employment services have played a great role in improving poverty, but the improvement has been different in different dimensions and different disability categories. These findings provide important evidence for recognizing multidimensional poverty of persons with disabilities and the poverty reduction effect of employment services, which will help to formulate more reasonable public policies to eradicate poverty.

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Under the background of increasingly prominent environmental problems, the establishment and application of digital information management systems established by the digital economy have brought new opportunities and challenges to the green transformation of manufacturing enterprises. Considering the micro level of Chinese manufacturing enterprises, does the adoption of information management systems really promote the improvement of the green transformation level of manufacturing enterprises? This paper takes the adoption of digital information management systems by China's enterprises as a "quasi natural" experiment and uses the Difference-in-Difference and Propensity Score Matching model (PSM-DID) to explore its impact on the green transformation of manufacturing enterprises and its mechanism. The study found that the adoption of digital information management systems by enterprises significantly improved the green transformation level of manufacturing enterprises, especially the symbolic green transformation level, and had no significant positive effect on the substantive green transformation level. The mechanism analysis shows that manufacturing enterprises can achieve green transformation by adopting information management systems to improve the digital level, strengthen green innovation ability, and increase the redundant resources of enterprises. The heterogeneity analysis based on the internal governance and external environment of enterprises shows that the adoption of digital information management systems by manufacturing enterprises has significantly improved the green transformation level of non-state-owned enterprises, enterprises with high corporate governance, non-heavily polluting enterprises, and enterprises in the eastern region. The research conclusion enriches the research related to digitalization and green transformation of enterprises and has important inspiration for Chinese manufacturing enterprises to use digitalization capabilities to seek green sustainable development under the wave of digital economy development.

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Low-carbon city pilots (LCCP) is a key policy for realizing emission peak and carbon neutrality in China, using China's samples from 280 towns from 2006 to 2016. The article utilizes PSM-DID, mediated effects, and moderating effects approach for validating a CO2 reduction effect, mechanisms, and synergistic elements of LCCP. The regression outcomes suggest that (1) LCCP significantly decreases CO2 emissions levels and average annual carbon emissions in LCCP fall by 2.6 percent. (2) LCCP focus on reducing carbon emissions by increasing R&D investment, the efficiency of energy, and decreasing the high CO2 emissions industry. Among them, the reduction of the high carbon emission industry is mainly FDI, while the reduction of local industry is not obvious. (3) LCCP's carbon reduction effects suggest a reversed U-shape relationship with city size. Digitalization and marketization of LCCP are crucial to the carbon reduction effect. Carbon reduction and pollution reduction have a strong synergistic effect.

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How heavily polluting enterprises achieve sustainable development has become an urgent issue to be solved. Based on the data of Chinese heavily polluting listed enterprises during the period of 2010-2020, this paper adopts the probit method to examine how heterogeneous environmental regulations affect green merger and acquisition (GMA) decision, and propensity score matching and difference-in-differences method to explore innovation performance of GMA. The findings are as follows: (1) Command-and-control environmental regulation (CMCER) can promote GMA, while there exists a U-shaped relationship between market-based environmental regulation (MBER) and GMA; (2) from a dynamic perspective, it turns out that GMA can promote green innovation (GI) in the first and second post-acquisition year, but this effect disappears in the third year; (3) compared with CMCER, MBER has a more pronounced positive effect on the relationship between GMA and GI; (4) heterogeneous analysis indicates that the above GMA performance is more persistent when the acquirer is state-owned, with high media attention, with high internal control or engages in vertical GMA. The findings further enrich the literature on GMA driver and performance and provide references for optimizing ER policies and promoting corporate sustainable development.

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China's carbon emission trading (CET) policy guides enterprises to carry out green innovation and address the growing environmental challenges through market-based instruments. However, can CET policy effectively promote enterprises' green innovation? It has become a hot issue. Whether it can play the "Porter effect" is also controversial. We have little research on the effectiveness and heterogeneity of CET policy in China. We obtained the following conclusions from the empirical results: (1) CET policy has clearly promoted green innovation in enterprises, the proportion of green innovation of enterprises increased by 13.43%, and the "weak Porter hypothesis" was tenable. And the results of the research have been tested to be robust and reliable. (2) CET policy plays an obvious role in enhancing the enterprises' green innovation with high-stock enterprise, large-scale enterprise, and state-owned enterprises. (3) Carbon quota auction does not motivate enterprises to improve green innovation; the CET policy under the ex-post allowance allocation of government can better inspire enterprises to undertake green innovation events. (4) The pilot policy of carbon emission trading can increase the introduction of scientific research talents, increase the expenditure of scientific research and development, and improve the net profit margin of enterprise assets, thus directly or indirectly promoting the development of green innovation of enterprises. Overall, the research in this article provides theoretical policy and empirical research for implementing carbon emission trading policy in developing countries and provides theoretical support for how to realize the "double dividend" of environmental protection and enterprises' green innovation competitiveness. Meanwhile, it also provides reference for the national CET to be officially run, and it is instructive to establish a flexible market-based instruments.

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