Local Fiscal Pressure and Public Health: Evidence from China.

Under the dual challenges of global downward economic pressure and the COVID-19 pandemic, studying the impact of local government fiscal pressure on public health is a meaningful endeavor. First, this paper analyzes the impact of local government fiscal pressure on public health and clarifies its impact mechanisms. Second, by utilizing panel data of 31 Chinese provinces from 2000 to 2020, two-way fixed-effects and mediating-effects models are developed to identify the effects and impact mechanisms of local government fiscal pressure on public health. The results show that local government fiscal pressure can be detrimental to public health through three main mechanisms: reducing public health fiscal expenditures, hindering industrial structure upgrading, and exacerbating environmental pollution. Heterogeneity analysis finds that the negative effects of local government fiscal pressure on public health mainly exist in Central and Western China. Accordingly, three policy implications are proposed: optimizing the fiscal system, accelerating industrial upgrading, and improving the appraisal system of local officers.

Cost Sharing and Cost Shifting Mechanisms under a per Diem Payment System in a County of China.

Cost sharing and cost shifting mechanisms are of vital importance in a prospective payment system. This paper employed the difference-in-differences method to estimate the impacts of a per diem system with inverted-U-shape rates on medical costs and the length of stay based on data from a health insurance institution. The supply side cost sharing mechanism worked so that the new payment system significantly reduced medical costs by 17.59 percent while the average length of stay varied little. After further analyzing the mechanism, we found that heterogeneous effects emerged mainly due to the special rates design. The reform decreased the cases that incurred relatively high medical costs and lengths of stay. However, cost shifting existed so that physicians could be motivated to provide unnecessary services to the patients who should have been discharged before the average length of stay. Therefore, payment rates in the per diem system require a sophisticated design to constrain its distortion to medical service provision even though medical expenditures were successfully contained.

How do vertical fiscal imbalances affect energy efficiency? The role of government spending on science and technology.

How to improve energy efficiency is a practical issue of common concern around the world. In China, vertical fiscal imbalances (VFIs) generated under the existing fiscal system may have a significant impact on energy efficiency through government spending on science and technology (S&T). However, this potential relationship has not been explored in the literature. In this work, we aim to address this gap. Using Chinese provincial panel data from 2001 to 2017, this study empirically examines the relationship between VFIs and energy efficiency through a mediation model. The results show that VFIs greatly suppress energy efficiency. We further find that VFIs indirectly affect energy efficiency by reducing government spending on S&T. The results show significant regional heterogeneity. The intermediary role of government S&T expenditure is more significant in inland areas than in coastal areas. Therefore, to improve energy efficiency and achieve sustainable development, the Chinese government should focus on innovative reform of the existing fiscal system and reduce VFIs. In addition, the government should focus on fiscal spending in the field of S&T to promote technological innovation to guarantee the improvement of energy efficiency. Inland areas should pay particular attention to this issue.

Research on Classification of Open-Pit Mineral Exploiting Information Based on OOB RFE Feature Optimization.

Mineral exploiting information is an important indicator to reflect regional mineral activities. Accurate extraction of this information is essential to mineral management and environmental protection. In recent years, there are an increasingly large number of pieces of research on land surface information classification by conducting multi-source remote sensing data. However, in order to achieve the best classification result, how to select the optimal feature combination is the key issue. This study creatively combines Out of Bag data with Recursive Feature Elimination (OOB RFE) to optimize the feature combination of the mineral exploiting information of non-metallic building materials in Fujian province, China. We acquired and integrated Ziyuan-1-02D (ZY-1-02D) hyperspectral imagery, landsat-8 multispectral imagery, and Sentinel-1 Synthetic Aperture Radar (SAR) imagery to gain spectrum, heat, polarization, and texture features; also, two machine learning methods were adopted to classify the mineral exploiting information in our study area. After assessment and comparison on accuracy, it proves that the classification generated from our new OOB RFE method, which combine with random forest (RF), can achieve the highest overall accuracy 93.64% (with a kappa coefficient of 0.926). Comparing with Recursive Feature Elimination (RFE) alone, OOB REF can precisely filter the feature combination and lead to optimal result. Under the same feature scheme, RF is effective on classifying the mineral exploiting information of the research field. The feature optimization method and optimal feature combination proposed in our study can provide technical support and theoretical reference for extraction and classification of mineral exploiting information applied in other regions.

Diaqua-bis-{4-[(pyridin-2-yl)methyl-idene-amino]-benzene-sulfonato-κ(2)N,N'}nickel(II) tetra-hydrate.

In the title complex, [Ni(C(12)H(9)N(2)O(3)S)(2)(H(2)O)(2)]·4H(2)O, the Ni(II) ion is coordinated by four N atoms from two bidentate chelating 4-[(pyridin-2-yl)methyl-idene-amino]-benzene-sulfonate ligands and two O atoms from cis-related water mol-ecules in a slightly distorted octa-hedral environment [Ni-N = 2.071 (3)-2.121 (3) Šand Ni-O = 2.071 (2) and 2.073 (3) Å]. In the crystal, the coordinated water mol-ecules and the four water mol-ecules of solvation are involved in inter-molecular O-H⋯O hydrogen-bonding inter-actions with water and sulfon-ate O-atom acceptors, giving a three-dimensional framework structure.