Efficiency Of Financial Support Research Articles

Coupling coordination between financial support efficiency and carbon efficiency for resource recycling industry in China

Coupling coordination between financial support efficiency and carbon efficiency for resource recycling industry in China

Efficiency of financial support and factors influencing strategic emerging industries: Based on an empirical analysis of listed companies in China

This paper analyzes the characteristics and influence mechanisms of financial support for China’s strategic emerging industries. Using a sample of 356 listed companies across nine major industries, we conduct an in-depth analysis of the efficiency of financial support and its influencing factors. In addition, this paper analyzes the influence mechanism of financial support for strategic emerging industries based on the relevant theory of financial support for industry development. It clarifies the internal and external influencing factors. Based on the theoretical analysis, a two-stage empirical investigation was conducted: The data of 356 listed companies in strategic emerging industries from 2010 to 2022 were selected as a sample, and the data envelopment analysis (DEA) method was applied to measure efficiency. The influencing factors were then analyzed using a Tobit regression and an intermediate effects test.

Effect mechanism and efficiency evaluation of financial support on technological innovation in the new energy vehicles’ industrial chain

Financial support is of crucial importance for driving technological innovation within the new energy vehicle (NEV) industry. By using the data of listed NEV enterprise in China from 2016 to 2020, the panel regression model is employed to explore the effect mechanism of financial support on technology innovation. Furthermore, Data Envelopment Analysis (DEA) and Malmquist index method are applied to assess the financial support efficiency from static and dynamic perspectives, respectively. The results indicate that: (1) Both market-oriented and policy-oriented financial support significantly contribute to technology innovation across the entire NEV industrial chain, with R&D investments playing a critical mediating role. (2) Upstream and midstream enterprises are mainly supported by bank credit, while downstream enterprises rely more on equity and government support. (3) Upstream enterprises have the highest financial support efficiency and stable total factor productivity (TFP), while midstream and downstream enterprises are affected by external environments, leading to a gradual decline in TFP. Finally, it is suggested to enhance the innovation level of the NEV industry through building a multi-level market-oriented financial support system, improving the policy support mechanism and promoting industrial chains coordination development. This study sheds light on the importance of targeted financial support strategies to foster sustainable innovation in the NEV industry.

Digital finance and the Efficiency of Financial Support for The Real Economy: Empirical Evidence from China

Based on the provincial panel data from 2013 to 2020 in China, this paper uses the two-way fixed effect model and the Dynamic System GMM model to study the relationship between the development of digital finance and the improvement of the efficiency of financial support for the real economy. The results show that: Digital finance can significantly improve the efficiency of financial support to the real economy in China; Structural heterogeneity shows that, compared with the degree of digitization, the effectiveness of coverage and depth indicators to improve the efficiency of financial support for the real economy is stronger; Regional heterogeneity shows that the impact of digital Finance on the efficiency of financial support to the real economy in the central and eastern regions is stronger than that in the western regions.

RETRACTED ARTICLE: Application of data mining based on swarm intelligence algorithm in financial support of livestock and poultry breeding insurance

Among the components of China’s actual economic structure, aquaculture has always been a key project, and as a part of agriculture, it has been greatly developed. However, there are still many problems in the actual breeding process, such as low financial support, low information transparency, high financing difficulty and lack of channels, high claims costs and serious moral hazard in the livestock and poultry breeding insurance field, which will affect the development and progress of the industry. Therefore, in this context, this paper improves the efficiency analysis of financial support for livestock and poultry breeding insurance by introducing data mining and swarm intelligence algorithms. Then use the analysis data to build a model to further evaluate the efficiency of financial support. The construction of the model is roughly divided into four parts: insurance density, insurance depth, insurance amount and income. The weight of different indicators is calculated through the analytic hierarchy process, and the overall ranking results are output through consistency test. Some data of the above models are used as the output indicators of DEA decision-making units for top-down ranking. The result analysis shows that the development of technology in this industry can effectively improve the actual productivity of agricultural crops, thus effectively promoting the development of local agriculture. In this paper, data mining and swarm intelligence algorithms are introduced into livestock and poultry breeding insurance to complete the analysis and evaluation of financial support.

Analysis of financial support efficiency and influencing factors of listed seed companies from the perspective of energy consumption and carbon emissions.

The seed industry has a prominent role in strengthening ecological stability and national food security as it provides the basic ground for agriculture sector. In the current research, the effectiveness of financial support provided to listed seed enterprises and its influencing factors from the perspectives of energy consumption and carbon emissions are examined using a three-stage DEA-Tobit model. The dataset for the underlined study variables mainly comes from the financial data published by 32 listed seed enterprises and the China Energy Statistical Yearbook from 2016 to 2021. In order to make the results more accurate, the influence of external environmental factors such as economic development level, total energy consumption, and total carbon emission on listed seed enterprises are excluded. The results revealed that the mean value of financial support efficiency of listed seed enterprises increased significantly after excluding the influence of external environmental and random factors. External environmental factors such as regional energy consumption and carbon dioxide emission played an important role in the process of the financial system supporting the development of listed seed enterprises. The development of some listed seed enterprises with high financial support efficiency came at the cost of high local carbon dioxide emission and high energy consumption. Internal factors such as operating profit, equity concentration, financial structure, and enterprise size are the key intra-firm factors that affect the efficiency of financial support for listed seed enterprises. Thus, it is suggested that enterprises must pay attention to the environmental performance to reach a win-win situation in reducing and improving the energy consumption and financial performance, respectively. Similarly, the improvement of energy use efficiency through endogenous and external innovation should be prioritized to achieve sustainable economic development.

Evaluating disparities and convergence of financial support efficiency for resource recycling industry in China

Resource recycling industry is a new carrier of high-quality economic development in China which is crucial for the promotion of circular economy. However, the sustainable development of this industry cannot be achieved without huge and stable support from financial system. This paper calculates the financial support efficiency (FSE) of listed companies in this industry, explores FSE disparities among companies in different sub-industries and with different types of property right, and finally carries out the convergence test of FSE. It is found that the overall FSE of China's resource recycling industry was good (0.849) during 2016–2020, but showed a slight downward trend. The deterioration of technical efficiency was the main reason of decline. Significant differences of FSE existed among companies in different sub-industries, in which the efficiency value of Comprehensive Utilization of Mineral Resources Industry was the highest, and that of Comprehensive Utilization of Urban and Rural Domestic Waste Industry was the lowest. FSE of non-state-owned companies was higher than that of state-owned companies. The hypervariable density was the main source of sub-industry difference, and the difference within property right type was the main source of property right difference. The entire industry, every sub-industry, and both types of property right, did not show σ convergence. The entire industry and four sub-industries showed absolute β convergence. All sub-industries except Resource Recycling and Utilization Equipment Manufacturing Industry showed conditional β convergence. Both types of property right showed absolute and conditional β convergence. Several suggestions are finally proposed to improve FSE of the industry.

Evaluation and Determinants of the Digital Inclusive Financial Support Efficiency for Marine Carbon Sink Fisheries: Evidence from China.

The development of digital inclusive finance has greatly improved the feasibility of financial inclusion. Therefore, in the context of the constrained financing of marine carbon sink fisheries, we try to investigate whether digital inclusive finance exhibits a supportive effect on marine carbon sink fisheries and thus enhances the capacity of marine carbon sinks. Specifically, this paper empirically calculates the grey correlation between the development of digital inclusive finance and marine carbon sinks based on data in nine coastal provinces of China from 2011 to 2019. The empirical results show that the grey relational coefficients between the above two in China are more than 0.5, revealing a significant positive correlation. Then, on this basis, we estimate the digital inclusive financial support efficiency (DIFSE) for marine carbon sink fisheries by applying the Super-EBM model. In addition, the determinants affecting the DIFSE for marine carbon sink fisheries selected based on the grounded theory are explored through the Tobit model. The conclusions are as follows. First, there are time-varying characteristics and regional heterogeneity in DIFSE. Generally, the effect of China's digital inclusive financial support for marine carbon sink fisheries is expanding year by year. Among them, the DIFSE in the northern marine economic circle is currently the highest, followed by that in the south and east. Second, the input of productive factors, promotion of fishery skill, development of fishery technology, and Internet coverage will significantly increase the value of DIFSE, while output structure, income level, fishery disasters, and marine pollution will have significant negative effects on DIFSE. These empirical results can help policymakers better understand the contribution of digital inclusive finance to marine carbon sink fisheries and provide them with valuable information for the formulation of supportive policies.

Financial Support for Neighborhood Regeneration: A Case Study of Korea

This study examined the relationship between financial support and neighborhood regeneration in Korea. A questionnaire about neighborhood regeneration projects was administered to 175 Korean respondents in the regeneration field. Results found that the housing revitalization project needed more public funds than private funds for successful outcomes. The private sector participation project required public-private cooperation. The local economy vitalization project needed public funds to build infrastructure. The local living improvement project needed public funds for infrastructure. The local living network project could be led by public funds including the facility fund. The local economy operation project required public and private funds for local programs and facility support. The results offer the optimization of financial support efficiency by providing customized support funds for neighborhood regeneration projects.

INFLUENCE OF MONETARY POLICY INSTRUMENTS AND INDICATORS ON DYNAMICS OF FINANCING INNOVATION: EMPIRICAL EVIDENCE

Today innovations are drivers of countries’ economic growth, competitiveness, security, and sustainable development. Financial policy and its instruments play a significant role in innovation management, and monetary instruments are one of the most important components of financial policy. Therefore, the necessity of increasing the efficiency of financial support for innovation development actualizes the study of the impact of the monetary policy instruments and indicators on the level of financing innovation. The aim of the article is to improve the scientific basis for the study of the impact of monetary policy instruments and indicators on the dynamics of financing innovation based on empirical evidence. Information basis of the research was formed from the data for Ukraine and 12 post-soviet and other countries with similar starting economic conditions for 2010-2019, taking into account the availability of statistics from the International Monetary Fund, the World Bank, and the central banks for the whole investigated indicators at the time of the study. The software base included Excel and STATA. The methods of regression (linear regression model with panel-corrected standard errors) and correlation analysis (calculating Pearson and Spearman coefficients) were applied to identify a relationship between monetary instruments and indicators and indicator of financing innovation, confirm the hypothesis about the impact of the monetary instruments and indicators on the financing innovation and formalize this effect. To strengthen the country’s innovation development, it is proved the expediency of lowering the discount rate and real interest rate, increasing “broad money” on general reserves, and increasing liquid reserves on bank assets, as well as the transition to inflation targeting. According to the calculations, for all monetary instruments and indicators, except the discount rate, the directions of influence in Ukraine and the panel from 12 other countries were opposite. This one confirms that monetary instruments in Ukraine are not fully performing their regulatory function, in the context of stimulating innovation development.

Abstract P3-16-02: Enhancing impact and efficiency of financial support for cancer through use of AI: A nascent initiative of Indian cancer society

Abstract Background: Since 2011, Indian Cancer Society-Cancer Cure Fund (ICS-CCF), established through donations of mutual fund dividends, has funded $27 million in treatment costs for 9800 underprivileged patients. For governance, a Due Diligence Team (DDT) of cancer experts from academic tertiary centers reviewed every planned treatment and authorized covering the treatment costs for evidence-based care. Since expert time is scarce, in 2019, ICS-CCF introduced NAVYA AI (AI) system to scale the prior authorization operation. AI is a clinically validated system that matches clinical data with evidence and expert recommended treatment options. The system can adapt to institutional guidelines such as ICS-CCF authorization criteria on published survival rates. In this prospective study, we explore application of AI in prior authorization, by assessing concordance with DDT expert decisions and potential time savings. Methods: Clinical data of beneficiaries were input in AI and if the output treatment options matched the planned treatment, the application was authorized, otherwise rejected. If AI did not output a decision, the application was deferred to DDT. Concordance between AI and DDT decisions, and DDT time spent on deferred applications, weremeasured. Results: From April 22nd, 2020 to June 9th, 2021, 1994 beneficiary applications were simultaneously reviewed by AI and DDT, of which 601 (30%) were breast cancer patients. AI “authorized” (1563/1994) or “rejected” (16/1994), 79.18% (1579/1267) of applications; and “deferred” 20.81% (415/1994) of applications. AI and DDT were 99.37% (1553/1563) concordant to authorize and 100% (16/16) concordant to reject a beneficiary application. DDT spent an average of 3.4 minutes/deferred application. Conclusions: A clinically validated AI system, 99% concordant with cancer experts in authorizing or rejecting 79% of beneficiary applications, promises a fivefold decrease in experts’ time, the scarcest resource for preauthorization. Subsequent to this study, ICS-CCF is awarding financial support directly based on AI authorize decisions. Similarly, health insurance organizations may consider a prospective study of the AI system in raising quality and efficiency of prior authorization thereby saving cost of time, money and expertise. Citation Format: Tushar Vora, Nehal Khanna, Anant Gokarn, Ann Rawat, Naresh Ramarajan, Gitika Srivastava, Usha Thorat. Enhancing impact and efficiency of financial support for cancer through use of AI: A nascent initiative of Indian cancer society [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-16-02.

Evaluation on financial support efficiency of new generation high-tech industry in China

From the perspective of enterprises and regions, this paper selects the relevant data of 192 listed companies in China from 2015 to 2019, establishes a static analysis model DEA to evaluate the pure technical efficiency, scale efficiency and comprehensive efficiency of the new generation of high-tech industry financial support; At the same time, the dynamic analysis model DEA Malmquist is established to evaluate the change of financial support efficiency of the new generation of high-tech industry. The results show that: at the enterprise level, the overall efficiency of financial support is still at a low level, and the development is not stable, but the overall performance of the enterprise is good in the technical efficiency of financial support, and there is great volatility in the scale efficiency. At the regional level, the eastern region is the best in both the static and dynamic aspects of financial support efficiency, the western region is the second in the static aspect, and the central region is the second in the dynamic aspect. However, the development trend of the three regions is the same, that is, fluctuating development, and the overall trend is good.

An Empirical Study on the Efficiency of Financial Support for Economic Development in Henan Province Based on DEA Malmquist Index Method

The report of the 19th National People’s Congress points out that China’s social economy will gradually transition from the pursuit of high-speed operation to the pursuit of high-quality economic operation. The financial industries will strongly support the economic development in all aspects, however, studies show that the efficiency of finance in supporting economic development presents regional differences. This paper adopts the universally applicable DEA-Malmquist method and takes the panel data of Henan Province from 2013 to 2019 as the benchmark to calculate and study the input-output ratio of financial support for economic operation and development in each region of Henan Province, and the results show that the overall efficiency of financial service economy in each urban area of Henan Province has increased in the past seven years. According to the measured results in the first four parts of the most efficiency increase is analyzed, and based on the analysis results in the economic development of Henan province put forward some proposals in the new journey, increase the intensity of financial innovation and development, to carry out in-depth financial inclusion work, and to solve the problem that small and micro enterprises faced in raising funds and the slow pace of raising funds, in order to achieve a reasonable distribution of financial resources between the suppliers of funds and the demanders of funds.

The efficiency of financial support for water infrastructure improvement in Bulgaria

Environmental challenges related to water resources lead to a change in water distribution. This will cause a change in water infrastructure which will need financial support. This article proposes an analysis of the efficiency of financial support for water infrastructure improvement in Bulgaria. The aim of the article is to describe state of the population's access to water infrastructure and financial support for the development of the water infrastructure and based on the statistical data to analyze the effectiveness of the financial support under OPE 2007-2013 and OPE 2014-2020, axis Water for the development of water infrastructure. The parts of the article are as follows: 1) Introduction, presenting the theoretical views on the financing for the improvement of the water infrastructure; 2) Research methodology 3) Analysis of the effectiveness of financial support for the development of water infrastructure (correlation and DEA analysis); 4) General conclusions.

EFFICIENCY OF FINANCIAL SUPPORT OF THE HEALTHCARE DEVELOPMENT: METHODOLOGICAL PRINCIPLES

The full functioning of the health care sector is possible only with adequate financial support, which is based on the principles of efficiency and effectiveness. Performance appraisal is a necessary tool in managing the financial support of health care development and improving the efficiency and quality of use of funds. The economic efficiency of financial support for the development of health care is a complex characteristic of the potential or actual results of its operation. Under the medical and economic efficiency of the activity is a comprehensive description of the medical and social results of the system, correlated with the number of resources spent to achieve them. The evaluation of the effectiveness of financial support for the development of health care is carried out in favor of long-term development planning and management actions aimed at the quality and availability of health care through a more rational allocation of available resources. Evaluations of various aspects of effectiveness should be the basis for decisions implemented in determining strategies for the allocation of material and financial resources in the health care system. The article is devoted to the issues of efficiency of financial provision of the health care. It was found that the effectiveness of financial support for the development of health care should be understood primarily as the ratio of results obtained and socio-political goals achieved, the corresponding results and the state resources used. The well-known form of efficiency assessment is considered. Criteria for the effectiveness of ensuring the development of health care (quality of health care, rational use of resources, availability of care) are defined. Management efficiency is influenced by productivity and quality. The indicators of efficiency of use of financial resources of health management bodies are analyzed. It is proposed to consider the main medical, social and resource-economic indicators and coefficients to assess the socio-economic efficiency of health care. Keywords: financial support, health care, methodological principles.

Evaluation and Optimization of Financing Efficiency for New Energy Vehicle Enterprises

This paper focuses on the financing efficiency of new energy vehicle enterprises, taking Chinese new energy vehicle enterprises as the research object through a combination of qualitative and quantitative methods. The main research conclusions are as follows: on the one hand, the overall financial support efficiency of listed new energy vehicle enterprises shows a time trend of “rising first and then falling”, and the trend of debt financing efficiency is more stable than that of equity financing efficiency; on the other hand, explanatory variable coefficients are significantly negative and the marginal coefficient of equity financing is smaller than that of debt financing. Finally, combined with the research conclusions, specific suggestions for optimizing the financing structure for new energy vehicle companies and BYD. are given.

Models and strategies for financing innovative energy saving activities

In modern conditions, a very important issue to ensure sustainable development is the constant implementation of innovation activity. Taking into account the high cost of energy carriers, the implementation of innovative energy saving activity is a very important issue. In this paper, the authors have simulated the process of intellectual support for management decisions to determine the sources of funding for innovative energy saving activity. The proposed mathematical model allows to use the concentrated experience of experts for intellectual support of decision-making on the estimation of efficiency of financial maintenance of innovation activity. The received results show that the evaluation of priority strategic directions for machine-building enterprises in terms of efficiency of financial support of innovation activity will determine a hierarchical structured set of innovation strategies for each enterprise, taking into consideration the available financial support and external and internal environment of the enterprise. The first section in your paper.

The Influencing Factors of Financial Support Efficiency of New Generation High-Tech Industry in China: Evidence from Listed Companies

In order to improve the financial support efficiency of new generation high-tech industry in China, from the perspective of the subject (enterprise) in which financial resources were invested, this paper selected 192 listed companies in quantum communication and artificial intelligence concept plates in Chinese stock market as samples. Based on the original data of 2015-2019, the influencing factors of financial support efficiency of new generation high-tech listed companies were then empirically analyzed by using DEA-BCC model and Tobit model. The results showed that the ownership concentration, executive compensation and regional digital inclusive finance level were main factors affecting the financial support efficiency of new generation high-tech listed companies, followed by the technological innovation capability and regional economic development level. However, the influence of growth and comprehensive leverage were limited, and the influence of profitability and capital structure were not obvious. Accordingly, the main countermeasures to improve the financial support efficiency of new generation high-tech industry were proposed, which included giving full play to the advantages and potential of digital inclusive finance, actively guiding enterprises to innovate management, improve quality and efficiency, etc.

Research on the Efficiency of China's Marine Industry Financial Support Based on DEA

Cao, Y.L., 2020. Research on the efficiency of china's marine industry financial support based on DEA. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 217-219. Coconut Creek (Florida), ISSN 0749-0208.Financial support is the driving force and means for the development of marine industry. Improving the efficiency of financial support is the key to financial support. With the increasingly fierce market competition, only by relying on high-quality products and high customer satisfaction can enterprises survive in the fierce competition. Among many evaluation methods, Data Envelopment Analysis (DEA), as a non-parametric statistical method for effectively dealing with multi-input and multi-output problems, has received more and more attention in evaluating the relative efficiency of decision-making units. The adjustment and optimization of financial structure have been proved by theory and practice to promote economic growth, and financial support plays a decisive role in the development of marine industry. China's financial structure is still in the stage of scale expansion to promote the marine economy. In order to promote the improvement of marine industry, we should turn to the intensive mode of efficiency improvement. This paper extends from financial support to the study of financial support efficiency, and puts forward the method of using DEA model to evaluate and analyze the financial support efficiency of marine industry.

DEA Research on Financial Support Efficiency of China's Marine Industry

Shi, X., 2020. DEA research on financial support efficiency of china's marine industry. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 175-177. Coconut Creek (Florida), ISSN 0749-0208.With the overall development of economy and society, economic globalization has become a new development trend, followed by the arrival of the post-financial crisis era. In the face of such an economic development environment, the economic management innovation of enterprises is very necessary. At the present stage, only by improving and innovating economic management can enterprises achieve leapfrog development and adapt to the development requirements of the post-financial crisis era. Only in this way, we can further integrate human and material resources, grasp the close market relations and enable ourselves to occupy absolute advantages in the enterprise market. This paper is to discuss and study the financial support efficiency of china's marine industry based on DEA, hoping to provide a feasible method for enterprises in economic management.