This paper examines the environmental impact of green assets using machine learning and impulse responses by local projections.A series of 87 green assets from various classes are considered,namely firms providing ren...This paper examines the environmental impact of green assets using machine learning and impulse responses by local projections.A series of 87 green assets from various classes are considered,namely firms providing renewable energy and carbon offset solutions,carbon and sustainable investing ETFs and green cryptocurrencies.The dataset spans the period from 2015 to 2022 and comprises globally sourced environmental and financial data.The current study examines whether asset prices,returns and trading volumes have an impact on environmental indicators such as temperature(global mean and anomalies)and greenhouse gas concentration.The results indicate that adoption of these green assets does not have a significant environmental impact,suggesting that they should not be used as substitutes for real climate action.This work serves as a cautionary tale on the nexus between green assets and environmental indicators and the results can be used by governments and corporations when formulating climate and ESG strategies.展开更多
Against the backdrop of China’s“Dual Carbon”strategy,the rapid transformation of China’s energy structure is driving the need for structural adjustments in its carbon assets.Investigating the volatility spillovers...Against the backdrop of China’s“Dual Carbon”strategy,the rapid transformation of China’s energy structure is driving the need for structural adjustments in its carbon assets.Investigating the volatility spillovers between climate risks and carbon assets is therefore crucial for optimizing asset allocation,enhancing the green financial system,and mitigating cross-market risk contagion.Using a refined time-varying parameter vector autoregression(TVP-VAR)model,we analyze their time-varying spillover effects on high-carbon(WTI crude oil futures)and low-carbon(the NASDAQ Clean Edge Green Energy Index[CELS])assets.Our results reveal a significant bidirectional spillover relationship between climate risks and carbon assets.Statistically,the climate risks serve as the primary net transmitter of spillovers to both crude oil and the clean energy index.Dynamically,the influence of transition risk on low-carbon assets amplifies markedly during specific episodes,highlighting its acute sensitivity to policy and market signals.A key finding is the considerable hedging capacity of the CELS,which exhibits a 43.6%hedging efficiency against systemic risk in high-carbon assets,an effect that becomes particularly pronounced during periods of intensive policy implementation.This research provides a quantitative basis for investors to design“carbon quota and green bond”portfolios,and for regulators to develop a cross-market early warning mechanism for climate risks.展开更多
The objective of this article is to delve into the digital financial asset(DFA)portfolio price of institutional investors,such as hedge funds.The aim is to make a significant contribution by providing methods(statisti...The objective of this article is to delve into the digital financial asset(DFA)portfolio price of institutional investors,such as hedge funds.The aim is to make a significant contribution by providing methods(statistical methods and fuzzy logic)for investors to identify and select the best long-term portfolio from the pool of 218 digital financial assets that are available in the Russian market.Importantly,companies listed as digital financial asset operators often offer multiple classes of these assets for trading,and as such,investors are only able to trade floating digital financial assets.By the time we reach the conclusion of the year 2024,it has been estimated that the total volume of the Russian DFA market that is currently in circulation will amount to a staggering 1.54 billion USD.Additionally,it is worth noting that 708 different issues are currently actively circulating in the market,showcasing a rather extensive array of options for potential investors.In December alone,an impressive total of 147 new DFAs were introduced and successfully placed,contributing a notable 0.7 billion USD to the market,which is certainly a remarkable feat.The sustainability of the price premium remains uncertain,a consequence of the digital asset market’s inherent volatility and relatively short history.When this volatility is considered,the observed premium lacks statistical significance for the sample period.Therefore,the novelty of this study is the creation of new effective tools for researching the effectiveness of portfolio management for time series,which includes 416 daily observations for the period March 2022–October 2023.展开更多
This paper selects the data of China's specialized,special and new“small giants”listed companies from 2011 to 2021,and starts from the key production factor and strategic asset of data assets,empirically examine...This paper selects the data of China's specialized,special and new“small giants”listed companies from 2011 to 2021,and starts from the key production factor and strategic asset of data assets,empirically examines the impact of data assetization on the supply chain resilience of SRDI SMEs,and examines the impact of data assetization on the supply chain resilience of SRDI SMEs using the role of the mechanism model.Through the mechanism model,the mediating effects of financing constraints and technological innovation are examined,and a path of action is drawn,which provides theoretical evidence and policy recommendations for promoting the digital transformation of SRDI SMEs and improving supply chain resilience.展开更多
This paper focuses on the optimization of the evaluation index system for the value of transportation infrastructure assets.It analyzes the shortcomings of the current system and explores the directions for optimizing...This paper focuses on the optimization of the evaluation index system for the value of transportation infrastructure assets.It analyzes the shortcomings of the current system and explores the directions for optimizing the index system from the perspectives of functionality,economy,social impact,environmental impact,and sustainability.The paper also discusses the application of the optimized index system in practical evaluation and the measures to ensure its effectiveness.The research aims to enhance the evaluation mechanism for the value of transportation infrastructure assets,providing a more scientific basis for decision-making,addressing challenges in asset management,improving the level of asset management in transportation infrastructure,and meeting the demands of high-quality development in the transportation sector in the new era.展开更多
The COVID-19 pandemic precipitated a surge in the non-performing assets held by financial institutions,elevating systemic risk in financial networks.Therefore,developing strategies to alleviate this risk,with a focus ...The COVID-19 pandemic precipitated a surge in the non-performing assets held by financial institutions,elevating systemic risk in financial networks.Therefore,developing strategies to alleviate this risk,with a focus on non-performing assets,has become a research area of interest.Supported by policies related to the Chinese insurance market,this study proposes the establishment of a non-performing assets disposal fund backed by insurance capital.This fund will invest in the non-performing assets of financial institutions with the aim of mitigating systemic risk.Using a linear threshold model,we identify an asymptotically optimal scheme for disposing of nonperforming assets.Additionally,we construct a payment model integrated with nonperforming assets,from which we derive an optimal payment and clearing strategy.Our research also proposes a robust set of criteria to assist regulators in determining whether to use the non-performing assets disposal fund.To demonstrate the efficacy of the fund in reducing systemic risk,we conduct simulations and analyze data from the Chinese interbank financial network.Through this rigorous analysis,we confirm the role of the fund in enhancing the stability of the financial system.展开更多
This study examines a comprehensive set of 30 cross-sectional anomalies in the Chinese A-share market to investigate whether incorporating investor sentiment as conditioning information enhances the explanatory power ...This study examines a comprehensive set of 30 cross-sectional anomalies in the Chinese A-share market to investigate whether incorporating investor sentiment as conditioning information enhances the explanatory power of asset pricing models.Utilizing a long–short portfolio strategy and Fama–MacBeth cross-sectional regression,we find that trading-based anomalies outnumber accounting-based anomalies in the Chinese market.Our results demonstrate that conditional models significantly outperform their unconditional counterparts.Notably,investor sentiment is crucial for capturing the size anomaly when excluding observations from the COVID-19 pandemic period.Additionally,it substantially improves the ability of conditional Fama–French three-factor models to capture individual anomalies and enhances the return–prediction accuracy of conditional CAPMs.We suggest further investigating high-frequency investor sentiment-based conditional models to anticipate stock price fluctuations during extraordinary public health events.展开更多
Xin'ao Co.,Ltd.(603889),Iocated in Jiaxing City,Zhejiang Province,is a wellestablished enterprise in the wool textile industry.It focuses on the entire wool textile supply chain,integrating wool procurement,wool t...Xin'ao Co.,Ltd.(603889),Iocated in Jiaxing City,Zhejiang Province,is a wellestablished enterprise in the wool textile industry.It focuses on the entire wool textile supply chain,integrating wool procurement,wool top production,wool top modification,dyeing and finishing,and spinning,After more than thirty years of development,it has gradually formed a large-scale,market-oriented textile eco-system with Xin'ao Co.,Ltd. as the core,with its subsidia ries specializing in different production and sales functions.展开更多
The rapid development of vocational colleges in China brings about the explosive growth of the number and category of state-owned assets that guarantees the development of vocational colleges. The special equipment an...The rapid development of vocational colleges in China brings about the explosive growth of the number and category of state-owned assets that guarantees the development of vocational colleges. The special equipment and the general equipment included in the state-owned assets of vocational colleges are increasing at the fastest rate. Based on the problems from equipment inventory, this paper analyzes the problems of state-owned management, and puts forward countermeasures to improve the management of state-owned assets from formulating regulations and rules, strengthening the unified institution, applying the information technologies in building the team of administrators.展开更多
Carbon dioxide is the main factor causing the greenhouse effect,and reducing carbon dioxide emissions is an important task in ecological civilization governance.The audit of outgoing officials'natural resource ass...Carbon dioxide is the main factor causing the greenhouse effect,and reducing carbon dioxide emissions is an important task in ecological civilization governance.The audit of outgoing officials'natural resource asset management is an audit of the natural resources within the jurisdiction of each province to ensure that senior officials implement policies to protect natural resources.Therefore,this paper empirically verifies the impact of audit outgoing officials'natural resource asset management on carbon emission reduction based on panel data of 297 prefecture-level cities in China from 2012 to 2021.The study finds that auditing outgoing officials'natural resource asset management can effectively reduce carbon dioxide emissions and achieve energy conservation and emission reduction.Further research finds that auditing outgoing officials'natural resource asset management can promote technological innovation and industrial structure optimization,providing a reference for the country to achieve carbon peaking and carbon neutrality goals and promote the green transformation and upgrading of social development.展开更多
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 fu...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.展开更多
Evaluating the effectiveness of protecting nature assets is a vital component of responsive, pro-active management of protected areas. It is important to protect reserves of geological （including fossils） assets as ...Evaluating the effectiveness of protecting nature assets is a vital component of responsive, pro-active management of protected areas. It is important to protect reserves of geological （including fossils） assets as a means to also protect national and natural heritage. At the end of 2013, 2669 protected areas had been established in China and 123 of them are reserves for nature assets. This paper builds an evaluation framework for protection effectiveness of these assets. The current elements and characteristics for effective protection are analyzed, along with an analysis of existing problems so as to construct a scientific approach to protect these assets. The influencing elements and characteristics for effective protection of nature asset reserves are included in an index evaluation system for effective protection in such areas, which contains four parts-target layer, evaluation criteria, evaluation indexes, and evaluation parameters-based on related documents and files. For the target layer, it includes nature asset evaluation and management evaluation. In the end, it is discussed how to build a comprehensive evaluation model and achieve an effective quantitative evaluation.展开更多
The Investigain is a progressive web application to make mutual funds investments through a Systematic Investment Plan.The application utilizes the web’s modern capabilities,such as Asynchronous JavaScript and XML(AJ...The Investigain is a progressive web application to make mutual funds investments through a Systematic Investment Plan.The application utilizes the web’s modern capabilities,such as Asynchronous JavaScript and XML(AJAX),JavaScript,and Hypertext Marker Language(HTML5).The application also uses a powerful relational database management system,such as MySQL,to display asset management information.The application has two portals,one for investors and one for a particular asset manager or asset management company.Each investor has an account in the investor portal.The investor can view his/her profile,current balance,balance history,dividends,the units of mutual funds bought,unit price,the value of each mutual fund,and can pay installments using an embedded online payment gateway.Asset managers can monitor all investments,manage user accounts,and reimburse dividends using the admin portal.This paper also presents the experimental results of using the Investigain application,compares them with existing systems,and details the application’s prospect to improve its socio-economic conditions.The system’s frontend is designed with Bootstrap and jQuery frameworks.The backend is designed using Hypertext Preprocessor(PHP)server-side scripting language.The system demonstrated increased satisfaction from its clients.展开更多
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 ...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.展开更多
It is a common belief, for the last two decades, that we can observe the transformation of the intemational economy, from industrial to knowledge economy. In a continuous changing economy, the main advantage the compa...It is a common belief, for the last two decades, that we can observe the transformation of the intemational economy, from industrial to knowledge economy. In a continuous changing economy, the main advantage the companies have is not the buildings, the machines, the trucks, or the total equipment. The strategic key of a company today is the capital that cannot be copied easily, that is not disclosed and is not tangible, the intellectual capital of the company. The intangible assets can be characterized as those without physical appearance and the value of which is limited by the rights and anticipative benefits that possession confers upon the owner. The expansion of companies into foreign markets presupposes the aggregation of financial information that includes non-homogeneous elements. The purpose of this paper is to examine the framework of identification, as well as the disclosure requirements of brand names as they have been set by several articles of Commercial Law and recognized by professional accounting institutions. Emphasis will be given to analyzing existing accounting recognition and measurement, and proposals worldwide. In conclusion, this study indicates the accounting problems of definition, measurement, and disclosure of the majority of these intangible assets to users of financial statements of the company. Despite all the difficulties, this property of the company must in some way be measured and disclosed to lead to more reliable financial statements. The proposals of this paper, will help the accounting community to solve this major problem.展开更多
Asset-backed securities are developed through complex processes such as asset restructuring and credit enhancement.Therefore,the information asymmetry between issuers and investors is greater compared to traditional s...Asset-backed securities are developed through complex processes such as asset restructuring and credit enhancement.Therefore,the information asymmetry between issuers and investors is greater compared to traditional securities,which imposes higher requirements on information disclosure for asset-backed securities.Asset-backed securities have characteristics such as diversified disclosers,differentiated disclosure content,and specialized risk factors.China has already formulated a series of rules and regulations regarding information disclosure of asset-backed securities.It is imperative to develop specialized laws and regulations for asset-backed securities,encompass original equity holders and credit enhancement agencies as information disclosers,incorporate information such as underlying asset details,cash flow projections,and credit ratings and enhancements into the disclosure content,and improve the legal liability rules to effectively address false disclosures.展开更多
文摘This paper examines the environmental impact of green assets using machine learning and impulse responses by local projections.A series of 87 green assets from various classes are considered,namely firms providing renewable energy and carbon offset solutions,carbon and sustainable investing ETFs and green cryptocurrencies.The dataset spans the period from 2015 to 2022 and comprises globally sourced environmental and financial data.The current study examines whether asset prices,returns and trading volumes have an impact on environmental indicators such as temperature(global mean and anomalies)and greenhouse gas concentration.The results indicate that adoption of these green assets does not have a significant environmental impact,suggesting that they should not be used as substitutes for real climate action.This work serves as a cautionary tale on the nexus between green assets and environmental indicators and the results can be used by governments and corporations when formulating climate and ESG strategies.
基金financially supported by the National Natural Science Foundation of China(No.12501656)the National Social Science Foundation of China(No.22FGLB075).
文摘Against the backdrop of China’s“Dual Carbon”strategy,the rapid transformation of China’s energy structure is driving the need for structural adjustments in its carbon assets.Investigating the volatility spillovers between climate risks and carbon assets is therefore crucial for optimizing asset allocation,enhancing the green financial system,and mitigating cross-market risk contagion.Using a refined time-varying parameter vector autoregression(TVP-VAR)model,we analyze their time-varying spillover effects on high-carbon(WTI crude oil futures)and low-carbon(the NASDAQ Clean Edge Green Energy Index[CELS])assets.Our results reveal a significant bidirectional spillover relationship between climate risks and carbon assets.Statistically,the climate risks serve as the primary net transmitter of spillovers to both crude oil and the clean energy index.Dynamically,the influence of transition risk on low-carbon assets amplifies markedly during specific episodes,highlighting its acute sensitivity to policy and market signals.A key finding is the considerable hedging capacity of the CELS,which exhibits a 43.6%hedging efficiency against systemic risk in high-carbon assets,an effect that becomes particularly pronounced during periods of intensive policy implementation.This research provides a quantitative basis for investors to design“carbon quota and green bond”portfolios,and for regulators to develop a cross-market early warning mechanism for climate risks.
文摘The objective of this article is to delve into the digital financial asset(DFA)portfolio price of institutional investors,such as hedge funds.The aim is to make a significant contribution by providing methods(statistical methods and fuzzy logic)for investors to identify and select the best long-term portfolio from the pool of 218 digital financial assets that are available in the Russian market.Importantly,companies listed as digital financial asset operators often offer multiple classes of these assets for trading,and as such,investors are only able to trade floating digital financial assets.By the time we reach the conclusion of the year 2024,it has been estimated that the total volume of the Russian DFA market that is currently in circulation will amount to a staggering 1.54 billion USD.Additionally,it is worth noting that 708 different issues are currently actively circulating in the market,showcasing a rather extensive array of options for potential investors.In December alone,an impressive total of 147 new DFAs were introduced and successfully placed,contributing a notable 0.7 billion USD to the market,which is certainly a remarkable feat.The sustainability of the price premium remains uncertain,a consequence of the digital asset market’s inherent volatility and relatively short history.When this volatility is considered,the observed premium lacks statistical significance for the sample period.Therefore,the novelty of this study is the creation of new effective tools for researching the effectiveness of portfolio management for time series,which includes 416 daily observations for the period March 2022–October 2023.
基金National Undergraduate Training Program for Innovation and Entrepreneurship(D202410120257422558)。
文摘This paper selects the data of China's specialized,special and new“small giants”listed companies from 2011 to 2021,and starts from the key production factor and strategic asset of data assets,empirically examines the impact of data assetization on the supply chain resilience of SRDI SMEs,and examines the impact of data assetization on the supply chain resilience of SRDI SMEs using the role of the mechanism model.Through the mechanism model,the mediating effects of financing constraints and technological innovation are examined,and a path of action is drawn,which provides theoretical evidence and policy recommendations for promoting the digital transformation of SRDI SMEs and improving supply chain resilience.
文摘This paper focuses on the optimization of the evaluation index system for the value of transportation infrastructure assets.It analyzes the shortcomings of the current system and explores the directions for optimizing the index system from the perspectives of functionality,economy,social impact,environmental impact,and sustainability.The paper also discusses the application of the optimized index system in practical evaluation and the measures to ensure its effectiveness.The research aims to enhance the evaluation mechanism for the value of transportation infrastructure assets,providing a more scientific basis for decision-making,addressing challenges in asset management,improving the level of asset management in transportation infrastructure,and meeting the demands of high-quality development in the transportation sector in the new era.
基金supported by the National Social Science Fund of China(No.22BTJ027).
文摘The COVID-19 pandemic precipitated a surge in the non-performing assets held by financial institutions,elevating systemic risk in financial networks.Therefore,developing strategies to alleviate this risk,with a focus on non-performing assets,has become a research area of interest.Supported by policies related to the Chinese insurance market,this study proposes the establishment of a non-performing assets disposal fund backed by insurance capital.This fund will invest in the non-performing assets of financial institutions with the aim of mitigating systemic risk.Using a linear threshold model,we identify an asymptotically optimal scheme for disposing of nonperforming assets.Additionally,we construct a payment model integrated with nonperforming assets,from which we derive an optimal payment and clearing strategy.Our research also proposes a robust set of criteria to assist regulators in determining whether to use the non-performing assets disposal fund.To demonstrate the efficacy of the fund in reducing systemic risk,we conduct simulations and analyze data from the Chinese interbank financial network.Through this rigorous analysis,we confirm the role of the fund in enhancing the stability of the financial system.
基金financially supported by:National Natural Science Foundation of China(72261002,72141304)Youth Foundation for Humanities and Social Sciences Research of the Ministry of Education(22YJC790190)+1 种基金National Key Research and Development Program of China(2022YFC3303304)Student Research Program of Guizhou University of Finance and Economics(2022ZXS).
文摘This study examines a comprehensive set of 30 cross-sectional anomalies in the Chinese A-share market to investigate whether incorporating investor sentiment as conditioning information enhances the explanatory power of asset pricing models.Utilizing a long–short portfolio strategy and Fama–MacBeth cross-sectional regression,we find that trading-based anomalies outnumber accounting-based anomalies in the Chinese market.Our results demonstrate that conditional models significantly outperform their unconditional counterparts.Notably,investor sentiment is crucial for capturing the size anomaly when excluding observations from the COVID-19 pandemic period.Additionally,it substantially improves the ability of conditional Fama–French three-factor models to capture individual anomalies and enhances the return–prediction accuracy of conditional CAPMs.We suggest further investigating high-frequency investor sentiment-based conditional models to anticipate stock price fluctuations during extraordinary public health events.
文摘Xin'ao Co.,Ltd.(603889),Iocated in Jiaxing City,Zhejiang Province,is a wellestablished enterprise in the wool textile industry.It focuses on the entire wool textile supply chain,integrating wool procurement,wool top production,wool top modification,dyeing and finishing,and spinning,After more than thirty years of development,it has gradually formed a large-scale,market-oriented textile eco-system with Xin'ao Co.,Ltd. as the core,with its subsidia ries specializing in different production and sales functions.
基金Supported by College-level Research Project of Hangzhou Vocational&Technical College(ky202514).
文摘The rapid development of vocational colleges in China brings about the explosive growth of the number and category of state-owned assets that guarantees the development of vocational colleges. The special equipment and the general equipment included in the state-owned assets of vocational colleges are increasing at the fastest rate. Based on the problems from equipment inventory, this paper analyzes the problems of state-owned management, and puts forward countermeasures to improve the management of state-owned assets from formulating regulations and rules, strengthening the unified institution, applying the information technologies in building the team of administrators.
基金supported by the National Pre-Research Project of Hebei GEO University(Grant No.KY2024YB19)the 2023-2024 Hebei Higher Education Teaching Reform Research and Practice Project(Grant No.2023GJJG302)+4 种基金Regional System Research Center of Hebei GEO University(Grant No.QYZDYJZX202525)Smart Financial Technology Innovation Center of Hebei Province(Grant No.HBZX202401004)Hebei Geo University graduate course construction project in 2025(Grant No.YKSZ2025006)Major Research Project on Humanities and Social Sciences in Colleges and Universities of Hebei Province(Grant No.ZD202418)Teaching Case of Hebei GEO University MBA Case Center in 2025(Grant No.AL202511).
文摘Carbon dioxide is the main factor causing the greenhouse effect,and reducing carbon dioxide emissions is an important task in ecological civilization governance.The audit of outgoing officials'natural resource asset management is an audit of the natural resources within the jurisdiction of each province to ensure that senior officials implement policies to protect natural resources.Therefore,this paper empirically verifies the impact of audit outgoing officials'natural resource asset management on carbon emission reduction based on panel data of 297 prefecture-level cities in China from 2012 to 2021.The study finds that auditing outgoing officials'natural resource asset management can effectively reduce carbon dioxide emissions and achieve energy conservation and emission reduction.Further research finds that auditing outgoing officials'natural resource asset management can promote technological innovation and industrial structure optimization,providing a reference for the country to achieve carbon peaking and carbon neutrality goals and promote the green transformation and upgrading of social development.
基金the National Natural Science Foundation of China(U1966210).
文摘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.
基金Public Projects of Environmental Protection, No.201209028 National Evaluation Standard of Environment Protection Program, No.2011-27 National Natural Science Foundation of China, No.41401632
文摘Evaluating the effectiveness of protecting nature assets is a vital component of responsive, pro-active management of protected areas. It is important to protect reserves of geological （including fossils） assets as a means to also protect national and natural heritage. At the end of 2013, 2669 protected areas had been established in China and 123 of them are reserves for nature assets. This paper builds an evaluation framework for protection effectiveness of these assets. The current elements and characteristics for effective protection are analyzed, along with an analysis of existing problems so as to construct a scientific approach to protect these assets. The influencing elements and characteristics for effective protection of nature asset reserves are included in an index evaluation system for effective protection in such areas, which contains four parts-target layer, evaluation criteria, evaluation indexes, and evaluation parameters-based on related documents and files. For the target layer, it includes nature asset evaluation and management evaluation. In the end, it is discussed how to build a comprehensive evaluation model and achieve an effective quantitative evaluation.
基金Taif University Researchers Supporting Project number(TURSP-2020/98),Taif University,Taif,Saudi Arabia.
文摘The Investigain is a progressive web application to make mutual funds investments through a Systematic Investment Plan.The application utilizes the web’s modern capabilities,such as Asynchronous JavaScript and XML(AJAX),JavaScript,and Hypertext Marker Language(HTML5).The application also uses a powerful relational database management system,such as MySQL,to display asset management information.The application has two portals,one for investors and one for a particular asset manager or asset management company.Each investor has an account in the investor portal.The investor can view his/her profile,current balance,balance history,dividends,the units of mutual funds bought,unit price,the value of each mutual fund,and can pay installments using an embedded online payment gateway.Asset managers can monitor all investments,manage user accounts,and reimburse dividends using the admin portal.This paper also presents the experimental results of using the Investigain application,compares them with existing systems,and details the application’s prospect to improve its socio-economic conditions.The system’s frontend is designed with Bootstrap and jQuery frameworks.The backend is designed using Hypertext Preprocessor(PHP)server-side scripting language.The system demonstrated increased satisfaction from its clients.
基金Supported by National College Students'Innovation and Entrepreneurship Training Program in 2017(103-2013200072)National Social Science Fund Project(15BGL088)Zhejiang Higher Education Reform Project in 2016(jg20160092)
文摘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.
文摘It is a common belief, for the last two decades, that we can observe the transformation of the intemational economy, from industrial to knowledge economy. In a continuous changing economy, the main advantage the companies have is not the buildings, the machines, the trucks, or the total equipment. The strategic key of a company today is the capital that cannot be copied easily, that is not disclosed and is not tangible, the intellectual capital of the company. The intangible assets can be characterized as those without physical appearance and the value of which is limited by the rights and anticipative benefits that possession confers upon the owner. The expansion of companies into foreign markets presupposes the aggregation of financial information that includes non-homogeneous elements. The purpose of this paper is to examine the framework of identification, as well as the disclosure requirements of brand names as they have been set by several articles of Commercial Law and recognized by professional accounting institutions. Emphasis will be given to analyzing existing accounting recognition and measurement, and proposals worldwide. In conclusion, this study indicates the accounting problems of definition, measurement, and disclosure of the majority of these intangible assets to users of financial statements of the company. Despite all the difficulties, this property of the company must in some way be measured and disclosed to lead to more reliable financial statements. The proposals of this paper, will help the accounting community to solve this major problem.
文摘Asset-backed securities are developed through complex processes such as asset restructuring and credit enhancement.Therefore,the information asymmetry between issuers and investors is greater compared to traditional securities,which imposes higher requirements on information disclosure for asset-backed securities.Asset-backed securities have characteristics such as diversified disclosers,differentiated disclosure content,and specialized risk factors.China has already formulated a series of rules and regulations regarding information disclosure of asset-backed securities.It is imperative to develop specialized laws and regulations for asset-backed securities,encompass original equity holders and credit enhancement agencies as information disclosers,incorporate information such as underlying asset details,cash flow projections,and credit ratings and enhancements into the disclosure content,and improve the legal liability rules to effectively address false disclosures.
