Impact of fiscal decentralization and local government competition on the supply of basic public services: Based on the empirical evidence of prefecture-level cities in China.

Promoting equal access to public services and improving people's well-being is a key link in building a modern national governance system in China. However, under the Chinese-style fiscal decentralization system, local governments face the "dilemma" of economic growth goals and the improvement of people's livelihoods. China's basic public services still have the problems of insufficient supply quantity, unbalanced structure and low efficiency. This paper aims to explore the impact of fiscal decentralization and local government competition on basic public services, and provide a theoretical and practical basis for deepening the reform of China's fiscal and taxation system, perfecting the transfer payment system, and improving the public service provision at the present stage. Under the premise of theoretical hypothesis, based on the panel data of 178 prefecture-level cities in China from 2008 to 2019, which is obtained from the Statistical Yearbook and the Work report of prefecture-level governments, the fixed effect model and threshold model are used for the empirical test. The results show that: first, the increase of fiscal decentralization has a negative impact on supply of basic public services in prefecture-level cities; second, the local government competition aiming at economic growth will intensify the negative impact, and make the relationship between fiscal decentralization and basic public services show nonlinear characteristics; Third, compared with developed areas, the strengthening regulatory effect of local government competition is more obvious in less-developed areas, such as western and northeastern regions, and third-tier, fourth-tier, and fifth-tier cities. Based on these findings, this paper draws the following policy implications: strengthen the reform of the fiscal and taxation system below the provincial level, promote the construction of a direct transfer payment mechanism, adjust the standards and methods of performance appraisal, and use modern information technology to improve the public service demand and interest expression mechanisms.

Risk Characteristics of Catastrophic Health Expenditure in Multidimensional Borderline Poor Households in China.

Background: Ending poverty and realizing common prosperity are the essential requirements for the localization of Marxism in China. The ongoing COVID-19 pandemic in the post-poverty era further aggravates the risk of catastrophic health expenditure for borderline poor households and increases the uncertainty of returning to poverty due to illness, potentially undermining decades of hard-won efforts to eradicate poverty in China. Methods: Based on the latest data released by China Health and Retirement Longitudinal Survey (CHARLS) database, this paper uses the Logit model to empirically explore the risk characteristics of catastrophic health expenditure of multidimensional borderline poor households based on identifying multidimensional borderline poor households. Results: The results show that factors such as family income level, child support, and medical insurance have different impacts on catastrophic health expenditure, and the risk of catastrophic health expenditure of multidimensional borderline poor households is much higher than that of non- multidimensional borderline poor households, and there is a certain difference between urban and rural areas. Discussion: The government should strengthen and improve the social security system and health service system, such as medical insurance, and more resources should be allocated to multidimensional borderline poor households, especially in rural areas.

Configurations of the driving factors promoting China's commercial health insurance: A comparative qualitative analysis based on the technology-organization-environment framework.

With the nation's remarkable improvement in living standards, China's health insurance system cannot satisfy people's higher demands; therefore, it is necessary to promote the supply of commercial health insurance (CHI) in China. Based on the technology-organization-environment (TOE) framework, this study constructs a novel analysis framework to investigate the driving path of China's CHI. Employing the data of 31 provincial regions of China in 2018, a fuzzy-set qualitative comparative analysis is conducted to analyze configurations. We also adopt a necessary condition analysis in the robustness check to examine the necessary conditions, determining that no necessary relationship exists between possible conditions and the performance of CHI. More particularly, three sufficient configurations, TOE strategy, government attention (GA)-environment adaptability (EA)-citizen demand (CD) strategy, and dual EA-CD strategy are demonstrated to achieve high performance, and the other three configurations of technological management capability (TMC)-EA-CD strategy, technological infrastructure (TI)-EA strategy, and combined TI-TMC-EA strategy do not result in high performance. In addition, technological conditions (TI and TMC) and EA are relatively more important than the other configurations. Notably, government departments' financial expenditure is found to have a negative effect on CHI promotion.

Measuring China's agricultural green total factor productivity and its drivers during 1998-2019.

Improving agricultural green total factor productivity (AGTFP) is essential to China's agricultural sustainable development. Although several studies have focused on China's AGTFP, its measurement and drivers are not fully investigated yet. More specifically, the published research examining the drivers of China's AGTFP at both the production and factor levels is still scarce. To fill this gap, this study constructs two different data envelopment analysis models combined with green Luenberger productivity indicator (GLPI), the biennial weight modified Russell model and the biennial bounded adjusted model, to measure China's AGTFP as well as check the robustness. We further decompose the AGTFP growth at both production and factor levels to investigate its drivers. The main findings are as follows. First, during 1998-2019, the central region with its GLPI at 0.0377 had the largest AGTFP growth, followed by the western (0.0281) and eastern regions (0.0254). Second, in terms of production-decomposition, technical progress was crucial driver to AGTFP growth, energy conservation and emission reduction (ECER) and market performance. Third, in terms of factors-decomposition, the contributions of these factors to the AGTFP growth were positive and the contribution rates ranged from 1.01% (pesticide) to 38.51% (agricultural carbon emissions). Additionally, ECER performance was the primary driver of AGTFP, accounting for about 51.35% of the growth. Finally, according to the decompositions, Porter effect was discovered in China's agricultural sector. ECER drove China's agriculture to achieve win-win development between the environment and economic production.

Spatial-Temporal Characteristics of Agriculture Green Total Factor Productivity in China, 1998-2016: Based on More Sophisticated Calculations of Carbon Emissions.

Environmental costs should be taken into account when measuring the achievements of China's agricultural development, since the long-term extensive development of agriculture has caused huge environmental pollution. This study took agricultural carbon emissions as an undesired output to estimate the agricultural development efficiency in 31 provinces of China from 1998 to 2016, based on the green total factor productivity, as assessed by the slacks-based measure directional distance function and constructing the global Malmquist-Luenberger index. We measured agricultural carbon emissions in terms of five aspects: agricultural materials, rice planting, soil, livestock and poultry farming, and straw burning, and then compared the green total factor productivity index and the total factor productivity index. The study came to the following conclusions: (1) the green technology efficiency change was smaller than the technology efficiency change at first, but the gap between them is narrowing with time, such that the former is now larger than the latter; (2) the green technology efficiency was in a declining state and the green technology progress was increasing, promoting the green total factor productivity growth, from 1998 to 2016; and (3) China's agricultural green total factor productivity increased by 4.2% annually in the east, 3.4% annually in the central region, and 2.5% annually in the west.

Family Economic Burden of Elderly Chronic Diseases: Evidence from China.

Chronic diseases among the elderly and their huge economic burden on family have caught much attention from economists and sociologists over the past decade in China. This study measured the economic burden of elderly chronic disease (ECD) in families using the China Health and Retirement Longitudinal Study (CHARLS) data set from Peking University (China). We studied some aspects of this burden, including health-service utilization, out-of-pocket expenditure on inpatient and outpatient, total family expenditures on items, and labor force participation rates of family members, etc. Some interesting things were found, for example, the additional annual expenditure on inpatient care (per member) in ECD-families was 37 to 45 percent of the annual expenditure in the control group; the labor-force participation rate in ECD-families was 2.4 to 3.3 percent of points lower than in the control group.

Assessment of Agricultural Carbon Emissions and Their Spatiotemporal Changes in China, 1997-2016.

Despite achieving remarkable development, China's agricultural economy has been under severe environmental pressure. Based on previous studies, the present study further considers the sources of agricultural carbon emissions in depth, estimates China's agricultural carbon emissions from 1997 to 2016, and analyzes the agricultural pollution faced by China and its provinces. The study estimates the amount and intensity of agricultural carbon emissions in China from five carbon sources-agricultural materials, rice planting, soil N2O, livestock and poultry farming, and straw burning-and analyzes their spatial and temporal characteristics. The following results were obtained: (1) between 1997 and 2016, the amount of agricultural carbon emissions in China generally increased, while the intensity of agricultural carbon emissions decreased; (2) in the same period, the amount of carbon emissions from each category of carbon source generally increased, with the exception of rice planting; however, the amount of emissions fluctuated; (3) the amount and intensity of carbon emissions varied greatly among provinces; (4) the emissions from different categories of carbon source showed different concentration trends and agglomeration forms; (5) China's agricultural carbon emissions showed obvious spatial correlation, which overall was high-high agglomeration; however, its carbon emissions gradually weakened, and the spatial agglomeration of agricultural carbon emissions in each province changed between 1997 and 2016.