Construction of Value-Creation Oriented Carbon Assets Management System of Oil Companies

As climate change draws more attention globally,the development of low-carbon economy has become an inevitable choice for mankind to achieve sustainable development.The increasingly strict control of carbon emission is making carbon emission rights a scarce resource and endowing the rights with the attributes of assets and commodities.China has announced the goal of“carbon emission peaking before 2030 and carbon neutralization before 2060”.Responding to this goal,as major carbon emitters,oil companies play the role of a driving force for green and low-carbon development.Carbon assets management is a key path for oil companies to achieve emission reduction goals and low-carbon transformation.However,the carbon assets management of China’s oil companies is still in the initial stage,with the system and regulations not yet sound,and the management process not yet closed loop.First the modes and experiences of carbon assets management in major international oil companies is introduced.Then the objective logical relationship and linkage laws between carbon assets management and enterprise value creation are comprehensively analyzed by integrating the basic theories of economics and management.On this basis,a value-creation oriented carbon assets management system for oil companies is constructed,mainly covering aspects such as enterprise strategy,control mechanisms,carbon inventory,and management modes.

Research on Audit Risks in the Recognition of Data Assets on Financial Statements

This paper explores the audit risks associated with the recognition of data assets on financial statements,focusing on the complexities arising from their replicability,unique valuation patterns,and contextual dependencies.It identifies major misstatement risks at both the financial statement and assertion levels,including the potential for management to exaggerate data asset values,uncertainties in valuation methods,and deficiencies in data governance and internal controls.Additionally,auditors’lack of professional knowledge and inappropriate audit methods can lead to inspection risks.The paper emphasizes the urgent need for enhanced accounting standards for data assets,effective guidelines for their recognition and measurement,and robust internal controls.Furthermore,it advocates for the exploration of effective valuation methods and the incorporation of advanced technologies,such as big data and AI,into auditing practices.By improving auditor training and methodologies,organizations can better manage the inherent risks associated with data asset auditing.

A Study on the Internal Control and Countermeasures of Fixed Assets in Private Universities:A Case Study of N College

Fixed assets in universities occupy an important position in university management due to their wide coverage and large amount of money.Due to insufficient funding supply,private universities mainly focus on the allocation and utilization of fixed assets,which reflects the overall characteristics of cautious allocation,maximum utilization,and delayed elimination in the actual management of fixed assets.This article aims to conduct research and analysis on the entire lifecycle process of the allocation,use,and disposal of fixed assets in private universities,summarize the problems existing in the internal control of fixed assets in private universities,and propose corresponding countermeasures and suggestions in a targeted manner.

Household and Community Assets and Farmers' Adaptation to Extreme Weather Event:the Case of Drought in China

Under climate change, rising frequency and serious extreme weather events have challenged agricultural production. Designing appropriate adaptation measures to the extreme weather events require rigorous and empirical analysis. The overall goals of this study are to understand physical adaptation measures taken by farmers and the impacts of household and community assets on farmers＇ adaptation when they face drought. The analyses are based on a unique data set collected from a household survey in three provinces in China. The survey results show that though not common on annual basis, some farmers did use physical adaptation measures to fight drought. Regression analysis reveals that both household and community assets significantly affect farmers＇ adaptation behaviors. Improving households＇ social capital and wealth, communities＇ network and access to government＇s anti-drought service can facilitate farmers＇ adaptation to drought. Results indicate that community＇s irrigation infrastructure and physical adaptation taken by farmers can substitute each other. Further analysis shows that the households taking adaptation measures have higher crop yields than those without taking these measures. The paper concludes with several policy implications.

The research of the intangible assets’ influence to listed companies in China

As the development of the social marketing in China,intangible asset has been highly valued.While in China,this step of improving the intangible asset is just beginning.In 2006,the intangible asset was been modified in the new <Corporate Accounting Standard>.It is connected with the international accounting system.Therefore,the intangible asset is the essential point in the company’s success.The essay will study through the accounting problems of intangible asset to analysis that the importance of intangible asset in Chinese companies and the problems that companies should take care of.

Life-cycle cost model and evaluation system for power grid assets based on fuzzy membership degree

Life-cycle cost(LCC)theory can be effectively applied to improve the efficiency and quality of power plant equipment and asset management.However,specific aspects of the LCC calculation and evaluation model require further research for practical application.This paper proposes an LCC assessment model for the management of electric power plant equipment during its service life.A membership function method based on fuzzy logic is used to improve the allocation of modernization and overhaul projects to multiple equipment assets.An LCC assessment model and evaluation system for power equipment are proposed and successfully applied to the equipment and project management of a Guangzhou power plant in the China Southern Power Grid,providing a decision-making mechanism that facilitates efficient operation and optimal utilization of power plant equipment and assets.

A Framework for Systematic Classification of Assets for Security Testing

Over the last decade,a significant increase has been observed in the use of web-based Information systems that process sensitive information,e.g.,personal,financial,medical.With this increased use,the security of such systems became a crucial aspect to ensure safety,integrity and authenticity of the data.To achieve the objectives of data safety,security testing is performed.However,with growth and diversity of information systems,it is challenging to apply security testing for each and every system.Therefore,it is important to classify the assets based on their required level of security using an appropriate technique.In this paper,we propose an asset security classification technique to classify the System Under Test(SUT)based on various factors such as system exposure,data criticality and security requirements.We perform an extensive evaluation of our technique on a sample of 451 information systems.Further,we use security testing on a sample extracted from the resulting prioritized systems to investigate the presence of vulnerabilities.Our technique achieved promising results of successfully assigning security levels to various assets in the tested environments and also found several vulnerabilities in them.

Impacts of livelihood assets on livelihood security in drought-prone Gamo lowlands of southwest Ethiopia

Livelihood assets are a matter of high concern for secured survival.Drought-prone Gamo lowland households have differential access to livelihood resources which indicates the varying capacity of resisting to shocks.The main objective of this study is to explore the impacts of livelihood assets on livelihood security in the drought-prone Gamo lowlands.Multistage sampling procedures were employed to select the study sites and sample respondents.Primary data of households’capital assets and livelihood security status were produced from 285 survey households,agricultural experts,key informants,focus group discussants,and field observation through transect walks.Descriptive and inferential statistics were used to analyze quantitative data,whereas discussions and annotations were employed for analyzing qualitative data.The Sustainable Livelihoods Framework is used with modifications to schematize the study conceptually.The findings indicated that the study households possessed combinations of livelihood resources differentially.Financial and natural capitals were found to be the most deficient and better-accessed capitals,respectively.The study also showed that lowland residents’access to assets has significant indications of livelihood security.Households’poor access to assets such as financial,information,and social capital demands raised attention of the concerned stakeholders and policy debates in the drought-prone rural setup.Hence,it has been concluded that the more assets are accessed,the stronger the capacity of the households to resist shocks,and better the livelihood security.Accordingly,enhancing people’s access to multiple livelihood assets is suggested to sustainably secure livelihoods.

Evaluation of Biological Assets： Problems and Solutions

The chief production elements of an agricultural enterprise are its biological assets and the choice and practical application of the evaluation methods, as the assets directly affect many aspects： decision making of economic character by the financial statement user, indicators of financial operation analysis, inter-comparison of sector enterprises, assessment of the company value and taxes on its economic activity, and statistical data of the agricultural sector. The authors have used the discounted cash flow （DCF） as an alternative method and a model of system dynamics. Such a system dynamics method has not been used for assessment of biological assets so far. In the operating process, the company acquires or loses possession of the resources. It is vital to analyze the resources to see whether they comply with the concept of the assets and the terms of recognition. It is necessary for the same company as well as for external users of financial statements to get true information about the business and the value of money. Biological assets may be recognized in the company＇s accounting only when it is predictable that future benefits associated with these assets will flow into the enterprise. It is also important that the fair value or the cost can be measured reliably.

Theoretical analyses of stock correlations affected by subprime crisis and total assets: Network properties and corresponding physical mechanisms

In the field of statistical mechanics and system science, it is acknowledged that the financial crisis has a profound influence on stock market. However, the influence of total asset of enterprise on stock quote was not considered in the previous studies. In this work, a modified cross-correlation matrix that focuses on the influence of total asset on stock quote is introduced into the analysis of the stocks collected from Asian and American stock markets, which is different from the previous studies. The key results are obtained as follows. Firstly, stock is more greatly correlated with big asset than with small asset. Secondly, the higher the correlation coefficient among stocks, the larger the eigenvector is. Thirdly, in different periods, like the pre-subprime crisis period and the peak of subprime crisis period, Asian stock quotes show that the component of the third eigenvector of the cross-correlation matrix decreases with the asset of the enterprise decreasing.Fourthly, by simulating the threshold network, the small network constructed by 10 stocks with large assets can show the large network state constructed by 30 stocks. In this research we intend to fully explain the physical mechanism for understanding the historical correlation between stocks and provide risk control strategies in the future.

Revealing Importance of Management of Assets in Investment Trust Companies by DEA Analysis

In this paper,contribution of sources to the efficiency of Turkish investment trust companies is investigated by eight models which are constructed by different combinations of inputs of DEA analyze structure.Input oriented CRS based data envelopment analysis(DEA)and also Malmquist Productivity Index are applied for the time period of 2009—2016.Inputs of the CRS model are preferred as financial investments,cash and cash equivalents,cost of sales,and total sales while net profit and net sales are outputs of the models.It is reached at the conclusion that only management of investments is providing better results than only focusing on cash or cost management.In addition,effects and contribution of investment management parameter when it is added to the other ones is found more.

Application of Artificial Neural Networks to the Classification of Coal Reserve Assets

Using the classification results by the fuzzy clustering models as the basis for choosing the choosing patterns, a feed forward networks model for classification is given. Remarkable success was achieved in training the networks to learn the patterns and in classifying the coal reserve assets. The results show that the neural network approach for classification has some advantages such as stability and reliability.

Research on the Path to Creating Home Gardening Brand Assets Based on Customers——A Case Study of Hongyue Garden Maker

In this paper,using the research method of grounded theory,with the competitive brand of home gardening—Hongyue Garden Maker as the specific object of study,we collect the data through interviews and surveys,conduct coding analysis step by step on the data,establish the brand asset creation path model consisting of some main dimensions including " brand salience"," brand performance"," brand image"," brand judgment"," brand feeling",and " brand resonance",and reveal the interaction and logical relationship between the above dimensions,so as to provide theoretical support for the asset creation of many kinds of home gardening and other brands.

An Empirical Study of the Relationship between the Fixed Assets Investment and Urban-rural Income Gap during the Transition Period

As the gap in income between urban and rural residents bigger and bigger,based on the data from 1978 to 2007,this paper makes an empirical study of the dynamic relation between the fixed assets investment and the difference in income between urban and rural residents. The outcome from the study indicates a long-term balance exists between the investment rate of the fixed assets and the difference in income between urban and rural residents. A short-term deviation from the balance can be adjusted through long time. To a certain extent,city-oriented fixed assets investment policy is the main cause of the big gap in income between urban and rural residents. The big gap in income between urban and rural residents in turn reinforces their social status,thus further strengthening the city-oriented instead of countryside-oriented fixed assets investment policy. Based on that,this paper puts forward some suggestions on adjusting the fixed assets investment policy so as to shorten the difference in income between urban and rural residents and realize the goal of harmonious development between city and countryside.

Developmental assets and age of first sexual intercourse among adolescent African American males in Mobile, Alabama

Background and Aims: Younger age at first sexual intercourse is associated with a variety of adverse health outcomes. We aimed to gain a clearer understanding of a wide range of individual, family and social factors that may influence sexual behavior of children and adolescents. Specifically, we examined the relationships of developmental assets with age of first sexual intercourse among a large sample (n = 1061) of adolescent African American males living in low-income neighborhoods in Mobile, Alabama. Methods: Using the Developmental Asset Model as a theoretical guide, we selected variables from adolescent survey data and conducted logistic regression analysis to determine predictors of early age of first sexual intercourse. Results: Nearly one half (49%) of the male survey participants reported that they first had sexual intercourse at the age of 12 or younger. The total number of assets was the strongest predictor of later age (13 years old or later) of first sexual intercourse (OR 1.49, 95% CI = 1.09, 2.04), followed by decision-making skills (OR 1.40, 95% CI = 1.04, 1.86), and positive view of the future (OR 1.36, 95% CI = 1.02, 1.74). Conclusion: There are several developmental assets related to the age of first sexual intercourse. This study found support for the Developmental Asset Model as a framework for promoting sexual and overall adolescent health. Recommendations for asset-building among this population are discussed.

Analysis of Factors Influencing the Turnover Efficiency of Quick Assets in Agricultural Companies

We select 34 representative agricultural listed companies as the study object,to analyze the characteristics of quick assets in agricultural companies.The ratio between quick assets and total assets roughly displays normal distribution,with the peak value up to 40%;the distribution figure shape of the ratio between quick assets and liquid asset displays normal distribution,with the peak value up to 63%.Taking the case of typical agricultural company,Yuan Longping High-Tech Agriculture Co.,Ltd.,we analyze the factors influencing turnover of quick assets,and the main factors influencing the turnover of quick assets in agricultural companies are monetary funds and receivables.We establish the multiple linear regression model,and draw the conclusion that the turnover efficiency of quick assets is significantly affected by the ratio between cash assets and income,turnover rate of receivables,and quickness ratio.

Youth gender differences in alcohol use: A prospective study of multiple youth assets and the neighborhood environment

Research has identified factors (assets) that protect youth from engaging in risk behaviors including alcohol use. Very little research has examined asset/nonuse of alcohol associations by youth gender or determined if asset/nonuse of alcohol associations are influenced by the neighborhood environment. The purpose of the study was to determine if multiple youth assets and neighborhood factors are differentially associated with youth nonuse of alcohol by gender. Method: Five waves of data were collected annually from households (N = 1111) randomly selected to participate in the Youth Asset Study. Seventeen assets and 6 neighborhood factors assessed at waves 1 - 4 were analyzed longitudinally using marginal logistic regression to predict nonuse of alcohol at waves 2 - 5. Results: Sample mean age was 14.3 years, 52% female;39% white, 28% Hispanic, 23% African-American, and 9% other. Numerous assets were prospec- tively associated with alcohol nonuse for females (12 assets) and males (16 assets). Three assets were significantly more protective from alcohol use for males compared to females. Final modeling indicated that three assets were protective from alcohol use for both genders and that one asset was protective only for males. There were no significant associations between the neighborhood variables and nonuse of alcohol, and the neighborhood variables did not influence the asset/nonuse of alcohol associations. Conclusions: Youth assets appear to protect both genders from future alcohol use but males may benefit even more from asset-building prevention programming. Youth alcohol use and alcohol nonuse/asset associations may not be influenced by the neighborhood environment.

Relationship analysis between livelihood assets and livelihood strategies:A Heihe River Basin example

The security and quality of the livelihood of farmers is of paramount concern in rural areas of China. Livelihood stability would force the related polity to act coordinately while eradicating poverty and promoting resource sustainability. For this study, the livelihood approach was used as a framework of analysis that is based upon Sustainable Livelihoods Framework, the core of which is livelihood assets. Livelihood capitals provide substantial contributions to the well-being of numerous rural dwellers. However, the level and degree of reliance on livelihood capital differ across households. Factors that contribute to the economic reliance of households on a particular economic activity in general and on livelihood capital in particular may vary depending upon the type of resource endowment, household demographic, and economic characteristic as well as exoge- nous factors such as markets, prices, policies, and technologies. This study identifies factors that influence a household＇s live- lihood strategy choice with a particular focus on livelihood assets. The study applies a preliminary investigation concerning the relationship between livelihood assets and livelihood strategies, that is, the allocation of assets. Environmentally augmented household livelihood assets were collected from 300 sample households within the Heihe River Basin. Results show that physical assets possess a maximum value （0.609） for farmers and human assets possess a relatively high value （0.516） fol- lowed by social assets （0.354）. Besides, financial and natural assets possess relatively low values （0.286 and 0.241, respec- tively）. An increment of one unit should reduce the occurrence of choosing non-agricultural activities for natural capital while an increment of one unit should increase the occurrence of choosing non-agricultural activities for financial capital, while other variables remain constant. Governments, therefore, should enhance funding and technological support to achieve livelihood diversity and strengthen the facility of farmers by way of establishing relevant polity. It would enable farmers and provide themselves with the ability and asset reserves to transition from agricultural production to secondary and tertiary industries in order to improve the livelihood of farmers overall.

Internal Transactions for Multiple Risky Assets

Most of the articles about insider trading assume that there is only one risky asset in the market. On the basis of these papers, this thesis is mainly divided into three parts to study the situation of multiple risky assets in the market. In the first part, the situation of multiple risky assets in the market when two transactions are in progress is studied and then, the equilibrium when the market requires the internal traders to disclose the trading volume after each transaction is analyzed. In the second part, the equilibrium of multi-period based on the two phases of transaction is derived. The third part is the summary of the paper.

Observing Network Performance and Congestion on Managing Assets with RFID and Cloud Computing

Today, we observe that more and more, radio frequency identification (RFID) technology has been used to identify and track objects in enterprises and institutions. In addition, we also perceive the growing adoption of cloud computing, either public or private, to process and store data from the objects. In this context, the literature does not present an initiative that looks into the network on enterprise-cloud interactions, so neglecting network performance and congestion information when transmitting data to the cloud. Thus, we are presenting a model named ACMA—Automatic Control and Management of Assets. ACMA employs context awareness to control and monitor corporate assets in companies with multiple units. ACMA provides a centralized point of access in the cloud in which interested actors can get online data about each corporate asset. In particular, our scientific contribution consists in considering network congestion to control dynamically the data updating interval from sensors to the cloud. The idea is to search for reliability and integrity of operations, without losing or corrupting data when updating the information to cloud. Thus, this article describes the ACMA model, its architecture, algorithms and features. In addition, we describe the evaluation methodology and the results obtained through experiments and simulations based on the developed prototype.