Influencing Factors and Path Choice of Rebuilding Rural Financial Supervision System

The necessity of rebuilding Chinese rural financial supervision system is expounded. Rebuilding rural financial supervision system is conducive to normalizing rural financial order and forming the benign competitive situation; to clarifying the role played by rural financial organization and providing better financial services for "three agriculture";to forming safe rural financial environment to promote the development of rural economy and national economy. The restricting factors of rebuilding Chinese rural financial supervision system are analyzed. The major reasons are that rural financial legislation is relatively backward and the supervision department lacks the necessary legal basis. The administrative supervision is insufficient, which lead to the mal-position, administrative offside and vacancy of rural financial supervision;rural financial organization mechanism is unreasonable and the internal supervision mechanism is relatively bad;supervision organization of rural financial industry is imperfect and the function is imperfect; public's supervision awareness is weak and social supervision mechanism develops slowly. The paths for rebuilding Chinese rural financial supervision system are put forward including accelerating rural financial legislation to provide perfect legal evidence for rural financial supervision system; clarifying the position on governmental functions and fully displaying the leading role of rural financial supervision; establishing specialized rural financial supervision organization to perfect its supervision functions; vigorously cultivating people's supervision awareness to promote the development of social supervision mechanism.

Research on effectiveness of coal mine safety supervision system reform on three types of collieries in China

Coal mine safety supervision system plays an important role in the coal mine safety management in China.However,the current supervision system is established on the basis of learning the advanced experience from other developed countries.It needs to be further improved according to national conditions.Therefore,the effectiveness of coal mine safety supervision system reform on three types of collieries are assessed by using time series analysis method based on comparative analysis of the supervision system before and after the reform in this paper.The regression results show that the structural reform is not conductive to the improvement of coal mine safety situation in the short term,but conductive significantly in the long term.Specifically,the effects in township coal mines are more significant than stateowned key coal mines in the long run,but negative effects also exist in the short term.The negative effects in state-owned key coal mines are non-significant compared with township coal mines.Moreover,the regression results are analyzed from the aspects of the closure policy of illegal small township coal mines at the end of 1998 and shortage of the new supervision system.Finally,the suggestions on improving the new supervision system are put forward based on the above analysis.

Problems of Rural Food Safety and Strategies of Constructing Supervision System

This paper expounds the practical necessity of constructing diversified rural food safety supervision system as follows: it is the necessary requirements of guaranteeing people's health and life safety; it is an important component of governmental function of social management and the logical extension of administrative responsibilities; it is the basis of maintaining order of rural society and constructing harmonious society. The main problems existing in the supervision of rural food safety are analyzed as follows: first, the legislative work of rural food safety lags behind to some extent; second, the supervision of governmental departments on rural food safety is insufficient; third, the industrial supervision mechanism of rural food security is not perfect; fourth, the role of rural social organizations in supervising food safety is limited; fifth, the farmers' awareness of food safety supervision is not strong. Based on these problems, the targeted strategies of constructing diversified rural food safety supervision system are put forward as follows: accelerate the legislation of rural food safety, and ensure that there are laws to go by; give play to the dominant role of government, and strengthen administrative supervision on rural food safety; perfect industrial convention of rural food safety, and improve industrial supervision mechanism; actively support the fostering of social organizations, and give play to the role of supervision of organizations; cultivate correct concept of rights and obligations of farmers, and form awareness of food safety supervision.

Research on Cooperation Mechanism of China's Financial Regulation and Supervision System

Financial regulation and supervision is an important subject in finance research. After the U. S. subprime mortgage crisis,the weakness in this field becomes the research focus. Every country attaches importance to strengthen the financial supervision and management. But the financial regulatory system is a large system,and the process of model building and index selection is very complicated. A model for China's financial regulation and supervision system was proposed and a system evaluation method was improved. A more exact result was drawn by choosing 2003- 2009 index data.

Comparison and Enlightenment of China's and EU's Food Safety Supervision Systems

Food is the paramount necessity of the people,and safety is most essential for food. Food safety is related to people's fundamental interests,affecting people's basic health. It is an important factor in promoting people's livelihood development and social progress. Compared with European countries and the United States in developed food safety supervision systems,the development of food safety supervision system in China is still relatively backward. As food safety supervision is not in place,food safety incidents have occurred in recent years,so that public's panic about food safety has intensified. It has a strong impact on social stability and the food economy. Thus,strengthening the construction of food safety supervision system is imperative. Since experiencing a series of food safety incidents,the EU has gradually improved its food safety supervision system and has developed the most comprehensive and mature food safety supervision system in the world. On the basis of sorting out the characteristics of EU's food safety supervision system,the development direction of China's food safety supervision system is proposed from four aspects: supervisor,legal system,law enforcement ability and safety standards.

Research on the supervision system of social security fund ——based on the diversified supervision subject

Social security fund is the foundation of the social security to run, so to strengthen the supervision of social security fund, and promote the sustainable development of it is particularly important. However, the supervision of social security fund of China exists many difficulties at present. In this paper ,the author will be based on the angle of the diversity of regulation, and put forward some relevant suggestions to improve the system of supervision of social security fund.

Discussion on the Enhanced Accounting Supervision System of Financial Management

Accounting supervision is a management activity to monitor and supervise the production, business operation, and budget implementation in enterprises, and a good accounting supervision plays an extremely important role in the social and economic development. In China, there are many accounting supervision problems in accounting practice at present, and a lot of the problems have exerted a negative impact on the social and economic life. Therefore, the causes for these problems are discussed and analyzed, so that the corresponding methods and measures are proposed for solving the existing problems and promoting the accounting supervision to play a better and greater role in the financial management of enterprises.

Discussion on the Enhanced Accounting Supervision System of Financial Management

Accounting supervision is a management activity to monitor and supervise the production, business operation, and budget implementation in enterprises, and a good accounting supervision plays an extremely important role in the social and economic development. In China, there are many accounting supervision problems in accounting practice at present, and a lot of the problems have exerted a negative impact on the social and economic life. Therefore, the causes for these problems are discussed and analyzed, so that the corresponding methods and measures are proposed for solving the existing problems and promoting the accounting supervision to play a better and greater role in the financial management of enterprises.

Innovate Project Supervision System for Higher Engineering Construction Quality

With rapid development of PetroChina＇s Qinghai Oilfield, engineering construction quality becomes more and more important in infrastructure construction of the oilfield. Generally speaking, engineering construction quality is related both to national economic development and safety of people and assets. To turn a design map into a materialized object, the construction project involves a large number of elements, such as design, materials, machinery, landform, geological factors, meteorological factors, construction process, technological measures and supervision system. Therefore, quality control holds the key to a construction project.

Land Use Land Cover Analysis for Godavari Basin in Maharashtra Using Geographical Information System and Remote Sensing

The dynamic transformation of land use and land cover has emerged as a crucial aspect in the effective management of natural resources and the continual monitoring of environmental shifts. This study focused on the land use and land cover (LULC) changes within the catchment area of the Godavari River, assessing the repercussions of land and water resource exploitation. Utilizing LANDSAT satellite images from 2009, 2014, and 2019, this research employed supervised classification through the Quantum Geographic Information System (QGIS) software’s SCP plugin. Maximum likelihood classification algorithm was used for the assessment of supervised land use classification. Seven distinct LULC classes—forest, irrigated cropland, agricultural land (fallow), barren land, shrub land, water, and urban land—are delineated for classification purposes. The study revealed substantial changes in the Godavari basin’s land use patterns over the ten-year period from 2009 to 2019. Spatial and temporal dynamics of land use/cover changes (2009-2019) were quantified using three Satellite/Landsat images, a supervised classification algorithm and the post classification change detection technique in GIS. The total study area of the Godavari basin in Maharashtra encompasses 5138175.48 hectares. Notably, the built-up area increased from 0.14% in 2009 to 1.94% in 2019. The proportion of irrigated cropland, which was 62.32% in 2009, declined to 41.52% in 2019. Shrub land witnessed a noteworthy increase from 0.05% to 2.05% over the last decade. The key findings underscored significant declines in barren land, agricultural land, and irrigated cropland, juxtaposed with an expansion in forest land, shrub land, and urban land. The classification methodology achieved an overall accuracy of 80%, with a Kappa Statistic of 71.9% for the satellite images. The overall classification accuracy along with the Kappa value for 2009, 2014 and 2019 supervised land use land cover classification was good enough to detect the changing scenarios of Godavari River basin under study. These findings provide valuable insights for discerning land utilization across various categories, facilitating the adoption of appropriate strategies for sustainable land use in the region.

Does the Environmental Supervision System Improve Air Quality in China?An Empirical Study using the Difference-in-Differences Model

To effectively solve the problem of environmental pollution,the Chinese government has implemented an environmental supervision system since 2002.The environmental supervision system mainly uses the four functions of supervision,investigation,coordination,and emergency response to strengthen environmental protection supervision and law enforcement,respond to environmental emergencies,and coordinate cross-regional pollution disputes.As an important system design for China to control environmental pollution and promote the ecological transformation of economic development,the policy effect of the environmental supervision system deserves attention.This paper uses the difference-in-differences method to investigate the impact of the top-down environmental supervision system on air quality based on the 2000-2016 data for 285 prefecture-level cities in China.The results indicate that the annual average concentration of PM_(2.5)decreased significantly after the implementation of the environmental supervision system.The dynamic analysis shows that PM_(2.5)decreased most markedly in the first year after the implementation of the policy,and then the effect gradually weakened.Mechanism analysis suggests that the environmental supervision system can break the collusion between government and enterprise,encourage enterprises to carry out technological innovation,change pollutant discharge behavior and push local governments to adjust the industrial structure,enhance environmental protection awareness to reduce the PM_(2.5)concentration,and improve air quality.Comparing different regions,the PM_(2.5)in East China,North China and Northeast China are relatively high,and the pressure for air pollution control is great.Meanwhile,we find that the environmental supervision system has a significant station effect.Compared with other cities,the cities where the environmental supervision centers are located are more deterred by the environmental supervision,and their air quality has improved to a significantly greater degree.In the future,we should further strengthen the environmental supervision of high-pollution areas and non-station cities,and pay more attention to improving the long-term effect of the environmental supervision system.

Building State-owned Assets Supervision System and Conducting Mixed Ownership Reforms to Reinforce Each Other’s Collaboration

Improving the state-owned assets supervision system(SOASS)can effectively get over the defects of systems and mechanisms and further promote the reform of mixed ownership of state-owned enterprises(SOEs);and the deepening of the reform can advance the change of the SOASS to the supervision on capital.By analyzing the relationship between the SOASS and the reform of mixed ownership of state-owned enterprises,we have found that collaborative promotion of the change of the SOASS to the supervision on capital and promotion of the reform of mixed ownership can do good to ameliorating the corporate management mechanism,improving the market-oriented management mechanism of enterprises and completing the medium-and long-term incentive mechanisms,etc.to enhance business operation efficiency.Due to such prevailing problems as relative dispersion and vagueness of the policies relating to deepening the reform of SOEs,inconsistent progress of the reform of state-owned assets(SOAs)and SOEs,and corporate reform focusing on apprence,improving the SOASS and deepening collaborative development of the reform of mixed ownership of SOEs are hindered by some constraints.To construct and improve the SOASS and the reform of mixed ownership collaboratively,we should make efforts to promote the reform in the following five aspects,namely,placing importance to policy coordination,boosting synchronism of the reform of SOAs and SOEs at different levels and in different areas to coordinate the nationwide reform of SOAs and SOEs,facilitating reform of the mechanism of enterprises of mixed ownership through mixed capital,and promoting the SOASS and stimulating classified monitoring and reform of mixed ownership based on classified reform of SOEs.

Survey on AI and Machine Learning Techniques for Microgrid Energy Management Systems

In the era of an energy revolution,grid decentralization has emerged as a viable solution to meet the increasing global energy demand by incorporating renewables at the distributed level.Microgrids are considered a driving component for accelerating grid decentralization.To optimally utilize the available resources and address potential challenges,there is a need to have an intelligent and reliable energy management system(EMS)for the microgrid.The artificial intelligence field has the potential to address the problems in EMS and can provide resilient,efficient,reliable,and scalable solutions.This paper presents an overview of existing conventional and AI-based techniques for energy management systems in microgrids.We analyze EMS methods for centralized,decentralized,and distributed microgrids separately.Then,we summarize machine learning techniques such as ANNs,federated learning,LSTMs,RNNs,and reinforcement learning for EMS objectives such as economic dispatch,optimal power flow,and scheduling.With the incorporation of AI,microgrids can achieve greater performance efficiency and more reliability for managing a large number of energy resources.However,challenges such as data privacy,security,scalability,explainability,etc.,need to be addressed.To conclude,the authors state the possible future research directions to explore AI-based EMS's potential in real-world applications.

Foodborne doping and supervision in sports

Cases of foodborne doping are frequently reported in sports events and can cause severe consequences for athletes.The foodborne doping can be divided into natural endogenous and artifi cially added foods according to the sources,including anabolic agents,stimulants,diuretics,β-blockers,β2 agonists and others.In order to control foodborne doping,chromatographic technique,immunoassay,nuclear magnetic resonance,biosensor technology,pyrolytic spectroscopy,comprehensive analysis and electrochemical analysis have usually used as analytical and inspection strategies.Meanwhile,the legislation of anti-doping,the improvement of testing standard and technology,and the prevention and control of food safety,as well as the improvement of risk perception of athletes are highly necessary for achieving the effective risk control and supervision of foodborne doping,which will be benefi cial for athletes,doctors and administrators to avoid the risks of foodborne doping test and reduce foodborne doping risks for the health of athletes.

A Study of Supervision Performance of China's Commercial Banks from the Perspective of the Trinity-Characteristics of Bank Supervision System

Based on the theoretical analysis, this paper applies the entropy method to establish a comprehensive index system for the evaluation of the overall level of risk control and comprehensive efficiency of the supervision of China's commercial banks. Considering the trinity-characteristics of bank supervision system consisting of the People's Bank of China(PBC), the CBRC and the financial offices of local governments,the following conclusions have been drawn: the amount of penalties on banking illegal transactions is not correlated with the supervision efficiency of China's commercial banks; the capital adequacy ratio, the loan to deposit ratio, the percentage point of the non-performing loan rate of urban commercial banks higher than that of the national joint-stock banks are negatively correlated with the supervision efficiency of China's commercial banks; the total asset variation of the PBC and the different loan balance in local and foreign currency of the banks are positively correlated with the supervision efficiency of China 's commercial banks, but the effect is minor. Therefore, China should give the capital adequacy ratio a full play in the bank supervision, accelerate the construction of supervision information system and improve the supervision function of the local governments.

Research on the intelligent supervision and operation platform of railway real estate

Railway real estate is the fundamental element of railway transportation production and operation.Effective management and rational utilization of railway real estate is essential for railway asset operation.Based on the investigation of the requirements of railway real estate management and operation,combined with Beidou positioning,GIS(Geographic Information System),multi-source data fusion and other cutting-edge technologies,this paper puts forward the multi-dimensional dynamic statistical method of real estate information,the identification method of railway land occupation and the comprehensive evaluation method of real estate development and utilization potential,and build the railway real estate supervision and operation platform,design the function of the platform,so as to provide intelligent solutions for the railway real estate operation.

Establishment of Supervision and Monitoring System for Taining Danxia World Natural Heritage Site

Taking Danxia World Natural Heritage Site in Taining for example, the way of establishing scientific and systematic supervision and monitoring system for the world natural heritage site was explored to ensure the scientific protection and sustainable development of world heritage site. Contents of supervising and monitoring heritage site were first elaborated, monitoring indexes given, and then contents, location, feedback and equipment requirements of heritage site monitoring proposed. Finally, the supervision and monitoring system for Danxia World Natural Heritage in Taining was established from three aspects: establishing the center of digital information monitoring and supervision center, adopting scientific monitoring means, improving distribution of supervision sites and long-range video monitoring system.

A Preliminary Study of Embedded Supervision Thoughts:Based on a Distributed Financial System

Regulation of technology has been a hot issue in the financial field in recent years.Traditional financial regulation is constructed by a centralized account system,which relies on ex-ante regulation.Embedded supervision,which relies on regulation during and after the matter,operates in a decentralized and trusted environment and has the characteristics of high efficiency,transparency,and safety.It provides a breakthrough to solve the lag of traditional financial supervision.This paper clarifies the concepts and theoretical basis of embedded supervision,constructs the embedded supervision model with a lag,and analyzes the feasibility of embedded supervision with a lag.This research can promote scientific exploration and method innovations in the domestic finance field,enrich China’s financial discipline system,and provide decision-making references for practical financial supervision innovation.

Model-constrained and data-driven double-supervision acoustic impedance inversion

Seismic impedance inversion is an important technique for structure identification and reservoir prediction.Model-based and data-driven impedance inversion are the commonly used inversion methods.In practice,the geophysical inversion problem is essentially an ill-posedness problem,which means that there are many solutions corresponding to the same seismic data.Therefore,regularization schemes,which can provide stable and unique inversion results to some extent,have been introduced into the objective function as constrain terms.Among them,given a low-frequency initial impedance model is the most commonly used regularization method,which can provide a smooth and stable solution.However,this model-based inversion method relies heavily on the initial model and the inversion result is band limited to the effective frequency bandwidth of seismic data,which cannot effectively improve the seismic vertical resolution and is difficult to be applied to complex structural regions.Therefore,we propose a data-driven approach for high-resolution impedance inversion based on the bidirectional long short-term memory recurrent neural network,which regards seismic data as time-series rather than image-like patches.Compared with the model-based inversion method,the data-driven approach provides higher resolution inversion results,which demonstrates the effectiveness of the data-driven method for recovering the high-frequency components.However,judging from the inversion results for characterization the spatial distribution of thin-layer sands,the accuracy of high-frequency components is difficult to guarantee.Therefore,we add the model constraint to the objective function to overcome the shortages of relying only on the data-driven schemes.First,constructing the supervisor1 based on the bidirectional long short-term memory recurrent neural network,which provides the predicted impedance with higher resolution.Then,convolution constraint as supervisor2 is introduced into the objective function to guarantee the reliability and accuracy of the inversion results,which makes the synthetic seismic data obtained from the inversion result consistent with the input data.Finally,we test the proposed scheme based on the synthetic and field seismic data.Compared to model-based and purely data-driven impedance inversion methods,the proposed approach provides more accurate and reliable inversion results while with higher vertical resolution and better spatial continuity.The inversion results accurately characterize the spatial distribution relationship of thin sands.The model tests demonstrate that the model-constrained and data-driven impedance inversion scheme can effectively improve the thin-layer structure characterization based on the seismic data.Moreover,tests on the oil field data indicate the practicality and adaptability of the proposed method.

Cooperative management of an emission trading system:a private governance and learned auction for a blockchain approach

Although blockchain technology has received a significant amount of cutting-edge research on constructing a novel carbon trade market in theory,there is little research on using blockchain in carbon emission trading schemes(ETS).This study intends to address existing gaps in the literature by creating and simulating an ETS system based on blockchain technology.Using the ciphertext-policy attributed-based encryption algorithm and the Fabric network to build a platform may optimize the amount of data available while maintaining privacy security.Considering the augmentation of information interaction during the auction process brought about by blockchain,the learning behavior of bidding firms is introduced to investigate the impact of blockchain on ETS auction.In particular,implementing smart contracts can provide a swift and automatic settlement.The simulation results of the proposed system demonstrate the following:(1)fine-grained access is possible with a second delay;(2)the average annual compliance levels increase by 2%when bidders’learning behavior is considered;and(3)the blockchain network can process more than 350 reading operations or 7 writing operations in a second.Novel cooperative management of an ETS platform based on blockchain is proposed.The data access control policy based on CP-ABE is used to solve the contradiction between data privacy on the firm chain and government supervision.A learned auction strategy is proposed to suit the enhancement of information interaction caused by blockchain technology.This study provides a new method for climate change policymakers to consider the blockchain application of the carbon market.