The spillover effect of green finance development on rural revitalization: an empirical analysis based on China's provincial panel data.

With the overall victory of poverty alleviation in China, the focus of rural work has been transformed into rural revitalization. Therefore, based on the panel data of 30 provinces and cities in China spanning 2011 to 2019, this research used the entropy-TOPSIS method to calculate the weights of each index of the two rural revitalization and green finance systems. This research also constructs the spatial Dubin model to empirically analyze the direct effects and spatial spillover effects of green finance development on the level of rural revitalization. Additionally, this research calculates the weight of each indicator of rural revitalization and green finance using entropy-weighted TOPSIS. This research reveals that the current state of green finance is not conducive to increasing local rural revitalization and does not significantly affect all provinces. Further, the number of human resources can improve the local level of rural revitalization, not the entire province. These dynamics benefit the growth of local rural revitalization in the surrounding areas if employment and technology levels are developed domestically. Moreover, this research reveals that education level and air quality have a spatial crowding effect on rural revitalization. Thus, when developing rural revitalization and development policies, it is vital to prioritize the high-quality development of finance to be closely monitored by local governments at the respective levels. Furthermore, the stakeholders must pay critical attention to the connection between supply and demand and between financial institutions and agricultural enterprises in the provinces. Again, the policymakers must also increase policy preference, deepen regional economic cooperation, and improve the supply of essential rural elements to play a more significant role in green finance and support rural revitalization.

Exploring the Nexus of Healthcare Employees' Professional Quality, Health Psychology and Service Value: A Qualitative Study.

While the implementation of the "graded diagnosis and treatment" system highlights the important role of general practitioners as "residents' health gatekeepers", it brings the problem of insufficient service capacity and difficulty in realizing the service value. At present, the service value of general practitioners is a relatively new topic in the field of general medicine. Therefore, few studies discuss the specific path that affects the realization of their service value. According to literature analysis, the professional quality of general practitioners plays a positive role in improving their service quality. So it can be inferred that the main reason for this phenomenon is that the professional quality level of general practitioners as the service subject is low and they have not been trusted and recognized by the residents of the service object. So far, it is difficult for most residents to change their willingness to go to large hospitals. Training is the most critical link to improving the professional quality of general practitioners. Therefore, how to enhance the professional quality of general practitioners through effective training so as to realize the service value is a problem worth discussing. Our study took 37 general practitioners from 12 Community Health Service hospitals as the interviewees and used grounded theory to mine the internal correlation between variables. The results show that: (1) the professional quality of general practitioners mainly includes three dimensions: professional ethics, theoretical knowledge, and professional skills; (2) through training, the professional quality of general practitioners has been effectively improved; (3) the improvement of general practitioners' professional quality directly affects the realization of their technical value, environmental value and information value; (4) the professional quality of general practitioners can be improved through training, which will affect the realization of their service value. Our research contribution is to break through the previous research paradigm of analyzing the relationship between variables based on the existing literature. This paper uses the procedural grounded theory method to analyze the concept of general practitioners' professional quality from scratch through continuous refinement and summary and constructs a theoretical model of the training path from general practitioners' professional quality to service value. On the one hand, the research results can realize their service value by improving the professional quality of general practitioners. On the other hand, the realization of the service value of general practitioners can provide effective support for patients to create a good medical environment.

A Signaling Game of Family Doctors and Residents from the Perspective of Personalized Contracted Service.

The role of the family doctor contracted service system in China's medical and health system is increasing day by day. However, with the steady increase in contracting coverage, the phenomenon of "signing up but not contracting" has become common; to improve the current situation, the personalized signing service model has been strongly advocated. To promote the smooth implementation of the personalized contracted service model with family doctor competency as its core, this study used the signal game model to analyze the market equilibrium state of the signing service model. The results of this analysis reveal the following: (1) The camouflage of the number of contracts leads to distortion of the signal effect and to market failure, that is, the cost of competency camouflage is the primary factor affecting the equilibrium of contracted services. (2) The incompleteness of contracted services leads to quantity but not quality in the contracting market, that is, the payment of personalized service packages, the value-added utility of personalized services, and service gaps are the key factors that affect the decision-making behavior of the public. With this knowledge in mind, a compensation incentive mechanism that matches the competence level of the family doctor should be established, the formulation of contracted service agreements should be improved, and the participation of family doctors and residents should be encouraged, while the promotion of personalized contracted services should be enhanced and relevant supporting measures should be improved.

COVID-19 and financial performance: Pre and post effect of COVID-19 on organization performance; A study based on South Asian economy.

The COVID-19 epidemic has damaged developing as well as developed economies and reduced the profitability of several companies. Technological advancement plays a vital role in the company's performance in this current situation. All activities carry on virtually. In this study, the financial performance of enterprises in the South Asian banking industry will be compared before and after the COVID-19 epidemic. Furthermore, the full influence of the pandemic will take place in the long run. This study also explains the technological effect on improving performance, especially during the period of the COVID-19 pandemic. It has an impact on people's social lives as well as the economic world. This study examined a sample of 34 banks from the South Asian region from 2016 to 2021. A Wilcox rank test was used to determine whether there was a significant difference before and after the epidemic era. The overall conclusion of this study is that the COVID-19 pandemic had a significant influence on the bank's financial performance, particularly in terms of profitability. But technological advancement has a positive effect on organizational performance, ultimately increasing the financial performance of South Asian banks. And there is a big difference between pre-pandemic and post-pandemic organizational performance. The findings of this study have significant policy implications since it is clear that cooperation among governments, banks, regulatory agencies, and central banks is necessary to address the financial and economic effects of the COVID-19 pandemic.

Analyzing the determinants of clean energy consumption in a sustainability strategy: evidence from EU-28 countries.

The current global spirit for sustainable development has led to increased attention to reducing the use of conventional energy sources and managing the issue of climate change. Renewable (or clean) energy consumption is a key element of any country's environmental quality and sustainable economic growth. This study provides a comprehensive analysis of the impacts on clean energy consumption of common factors in pursuing a sustainability strategy, including environmental degradation (measured as carbon dioxide (CO2) emissions), clean energy technology, gross domestic product (GDP) growth, institutional quality, and globalization for a panel of European Union (EU) 28 countries in the period from 1995 to 2017. We employ two estimation techniques, continuous updating-fully modifying (CUP-FM) and continuous updating-bias correcting (CUP-BC). In addition, the study incorporates Driscoll-Kraay regression for a panel model to investigate the validity and reliability of long-term elasticities' results. The findings of long-run analyses indicate that CO2 emissions, clean energy technology, GDP growth, and globalization positively impact clean energy consumption and institutional quality negatively impacts it. Finally, the results of causality testing indicate a unidirectional causal relationship between clean energy technology and clean energy consumption and a bidirectional association between institutional quality and clean energy consumption. The study's outcomes have policy implications, especially regarding designing strategic choices to promote investment in clean energy technology to increase the use of clean energy sources and to overcome the issues of institutional quality in supporting clean energy consumption in the EU-28 countries.

A study on China's economic growth, green energy technology, and carbon emissions based on the Kuznets curve (EKC).

China's rapid economic development is unavoidably characterized by environmental pitfalls, especially the carbon dioxide emissions of greenhouse gases from the use of energy. Since there is a relationship between economic growth, energy consumption, and carbon emission, it is important to note that the continuous improvement and application of solar energy technology will play an active role in carbon emission reduction. Therefore, this paper uses the Kuznets curve to probe the relationship between economic growth, solar energy technology, and carbon emissions. The results show that solar energy technology, economic development level, and carbon emissions are all integrated at the second order with a long-run cointegration relationship. In the long-run, the relationship between economic growth and carbon emissions is inverted "U," which suggest that there is a turning point of carbon emissions, where the carbon emissions first increase with economic growth and then gradually decrease, which is reflected in the image as an inverted "U" curve. Also, the impact of economic factors on carbon emissions and the innovation of solar technology can negatively influence carbon emissions, and enhancing the innovation of solar technology has a positive effect on reducing carbon dioxide emissions.

Comprehensive assessment of PD-L1 and PD-L2 dysregulation in gastrointestinal cancers.

Background:PD-L1 and PD-L2 are ligands of PD-1. Their overexpression has been reported in different cancers. However, the underlying mechanism of PD-L1 and PD-L2 dysregulation and their related signaling pathways are still unclear in gastrointestinal cancers. Materials & methods: The expression of PD-L1 and PD-L2 were studied in The Cancer Genome Atlas and Genotype-Tissue Expression databases. The gene and protein alteration of PD-L1 and PD-L2 were analyzed in cBioportal. The direct transcription factor regulating PD-L1/PD-L2 was determined with ChIP-seq data. The association of PD-L1/PD-L2 expression with clinicopathological parameters, survival, immune infiltration and tumor mutation burden were investigated with data from The Cancer Genome Atlas. Potential targets and pathways of PD-L1 and PD-L2 were determined by protein enrichment, WebGestalt and gene ontology. Results: Comprehensive analysis revealed that PD-L1 and PD-L2 were significantly upregulated in most types of gastrointestinal cancers and their expressions were positively correlated. SP1 was a key transcription factor regulating the expression of PD-L1. Conclusion: Higher PD-L1 or PD-L2 expression was significantly associated with poor overall survival, higher tumor mutation burden and more immune and stromal cell populations. Finally, HIF-1, ERBB and mTOR signaling pathways were most significantly affected by PD-L1 and PD-L2 dysregulation. Altogether, this study provided comprehensive analysis of the dysregulation of PD-L1 and PD-L2, its underlying mechanism and downstream pathways, which add to the knowledge of manipulating PD-L1/PD-L2 for cancer immunotherapy.

En route to attaining a clean sustainable ecosystem: a nexus between solar energy technology, economic expansion and carbon emissions in China.

This paper probes the nexus between solar energy technology, carbon intensity of energy structures, economic expansion, and carbon emissions (CO2) throughout 1990-2017 in China. The study utilized the vector auto-regressive (VAR) approach to co-integration testing and vector error-correction models to identify the most effective method for reducing CO2 emissions. Results from the Granger causality (GC) suggest a unidirectional causality between the variables. The test of impulse response function (IRF) constituted in the VAR technique was also applied in this study. The results indicate that energy structure intensity and economic expansion positively affect carbon emissions, while solar energy technology negatively affects carbon emissions. Simultaneous IRF analysis demonstrated that solar energy technology, energy structure carbon intensity, and economic expansion all have long-term effects on carbon emissions. The study concluded that when the economy expands, it influences CO2 emissions. Also, there exists a positive impact on CO2 emissions from the number of solar patents, but was seen to be decreasing gradually. The policy implications were also stated.