This study aims to develop and expand a new perspective on ecological value realization(EVR)and provide policy recommendations for marine ecological value realization(MEVR)based on Carbon Trading.Currently,the immatur...This study aims to develop and expand a new perspective on ecological value realization(EVR)and provide policy recommendations for marine ecological value realization(MEVR)based on Carbon Trading.Currently,the immaturity of EVR calculation methods and difficulties in determining the price of ecological products pose significant challenges to ecological value trading.By employing mathematical models and logical reasoning,this study proposes a novel frame-work for EVR,illustrated through several diagrams.According to this frame-work,ecological value is not static but fluctuates with factors such as human well-being(HV)or gross domestic product(GDP).Therefore,ecological value should be determined by an exchange market rather than solely relying on hypothetical calculation methods.Consequently,carbon trading cases are crucial in under-standing ecological value.Based on the analysis of blue carbon(BC)trading cases,including the lack of international BC exchanges,challenges in carbon sink projects,and the Free Rider Effect,this paper identifies current issues in MEVR and BC trading in China.To address these challenges,we propose integrating carbon trading databases with evaluations of ecological protection and restora-tion projects,along with BC trading data,to calculate ecological value.Addi-tionally,we recommend increasing the supply of BC products in both national carbon trading markets and voluntary markets,promoting the internationaliza-tion of BC accounting,addressing the Free Rider Effect through government actions and market mechanisms,attracting more foreign investment in BC en-hancement projects,and formulating a BC enhancement plan during marine resource development.展开更多
A peak norm is defined for Lp spaces of E-valued Bochner integrable functions, where E is a Banach space, and best approximations from a sun to elements of the space are characterized. Applications are given to some f...A peak norm is defined for Lp spaces of E-valued Bochner integrable functions, where E is a Banach space, and best approximations from a sun to elements of the space are characterized. Applications are given to some families of simultaneous best approximation problems.展开更多
Waste disposal is a major source of greenhouse gas emissions such as methane, carbon dioxide and nitrous oxide. In China, rapid economic growth and urbanization have led to increasing solid waste generation and greenh...Waste disposal is a major source of greenhouse gas emissions such as methane, carbon dioxide and nitrous oxide. In China, rapid economic growth and urbanization have led to increasing solid waste generation and greenhouse gas emissions from the waste sector. Based on the first-order decay （FOD） method recommended by the 2006 IPCC Guidelines, this paper systematically estimates China＇s carbon emissions from the waste sector and forecasts their peak. Results indicate that between 1981 and 2009, China＇s carbon emissions from the waste sector surged, possibly peaking by around 2024. In comparison with developed countries, there is a large potential to improve waste disposal in China. Industrial upgradation and waste disposal improvement will help reduce waste generation and carbon emissions from the waste sector.展开更多
With the goal of“carbon peaking and carbon neutralization”,it is an inevitable trend for investing smart grid to promote the large-scale grid connection of renewable energy.Smart grid investment has a significant dr...With the goal of“carbon peaking and carbon neutralization”,it is an inevitable trend for investing smart grid to promote the large-scale grid connection of renewable energy.Smart grid investment has a significant driving effect(derivative value),and evaluating this value can help to more accurately grasp the external effects of smart grid investment and support the realization of industrial linkage value with power grid investment as the core.Therefore,by analyzing the characterization of the derivative value of smart grid driven by investment,this paper constructs the evaluation index system of the derivative value of smart grid investment including 11 indicators.Then,the hybrid evaluation model of the derivative value of smart grid investment is developed based on anti-entropy weight(AEW),level based weight assessment(LBWA),and measurement alternatives and ranking according to the compromise solution(MARCOS)techniques.The results of case analysis show that for SG investment,the value of sustainable development can better reflect its derivative value,and when smart grid performs poorly in promoting renewable energy consumption,improving primary energy efficiency,and improving its own fault resistance,the driving force of its investment for future sustainable development will decline significantly,making the grid investment lack derivative value.In addition,smart grid investment needs to pay attention to the economy of investment,which is an important guarantee to ensure that the power grid has sufficient and stable sources of investment funds.Finally,compared with three comparison models,the proposed hybrid multi-criteria decision-making(MCDM)model can better improve the decision-making efficiency on the premise of ensuring robustness.展开更多
Modelling of intraday increases in peak electricity demand using an autoregressive moving average-exponential generalized autoregressive conditional heteroskedastic-generalized single Pareto (ARMA-EGARCH-GSP) approach...Modelling of intraday increases in peak electricity demand using an autoregressive moving average-exponential generalized autoregressive conditional heteroskedastic-generalized single Pareto (ARMA-EGARCH-GSP) approach is discussed in this paper. The developed model is then used for extreme tail quantile estimation using daily peak electricity demand data from South Africa for the period, years 2000 to 2011. The advantage of this modelling approach lies in its ability to capture conditional heteroskedasticity in the data through the EGARCH framework, while at the same time estimating the extreme tail quantiles through the GSP modelling framework. Empirical results show that the ARMA-EGARCH-GSP model produces more accurate estimates of extreme tails than a pure ARMA-EGARCH model.展开更多
基金Fund of Laboratory of Marine Ecological Conservation and Restoration,Ministry of Natural Resources/Fujian Provincial Key Laboratory of Marine Ecological Conservation and Restoration,Grant/Award Number:EPR2023010Fund of Key Laboratory of Marine Environmental Survey Technology and Application,Ministry of Natural Resources,Grant/Award Number:MESTA-2022-D003。
文摘This study aims to develop and expand a new perspective on ecological value realization(EVR)and provide policy recommendations for marine ecological value realization(MEVR)based on Carbon Trading.Currently,the immaturity of EVR calculation methods and difficulties in determining the price of ecological products pose significant challenges to ecological value trading.By employing mathematical models and logical reasoning,this study proposes a novel frame-work for EVR,illustrated through several diagrams.According to this frame-work,ecological value is not static but fluctuates with factors such as human well-being(HV)or gross domestic product(GDP).Therefore,ecological value should be determined by an exchange market rather than solely relying on hypothetical calculation methods.Consequently,carbon trading cases are crucial in under-standing ecological value.Based on the analysis of blue carbon(BC)trading cases,including the lack of international BC exchanges,challenges in carbon sink projects,and the Free Rider Effect,this paper identifies current issues in MEVR and BC trading in China.To address these challenges,we propose integrating carbon trading databases with evaluations of ecological protection and restora-tion projects,along with BC trading data,to calculate ecological value.Addi-tionally,we recommend increasing the supply of BC products in both national carbon trading markets and voluntary markets,promoting the internationaliza-tion of BC accounting,addressing the Free Rider Effect through government actions and market mechanisms,attracting more foreign investment in BC en-hancement projects,and formulating a BC enhancement plan during marine resource development.
文摘A peak norm is defined for Lp spaces of E-valued Bochner integrable functions, where E is a Banach space, and best approximations from a sun to elements of the space are characterized. Applications are given to some families of simultaneous best approximation problems.
文摘Waste disposal is a major source of greenhouse gas emissions such as methane, carbon dioxide and nitrous oxide. In China, rapid economic growth and urbanization have led to increasing solid waste generation and greenhouse gas emissions from the waste sector. Based on the first-order decay （FOD） method recommended by the 2006 IPCC Guidelines, this paper systematically estimates China＇s carbon emissions from the waste sector and forecasts their peak. Results indicate that between 1981 and 2009, China＇s carbon emissions from the waste sector surged, possibly peaking by around 2024. In comparison with developed countries, there is a large potential to improve waste disposal in China. Industrial upgradation and waste disposal improvement will help reduce waste generation and carbon emissions from the waste sector.
文摘With the goal of“carbon peaking and carbon neutralization”,it is an inevitable trend for investing smart grid to promote the large-scale grid connection of renewable energy.Smart grid investment has a significant driving effect(derivative value),and evaluating this value can help to more accurately grasp the external effects of smart grid investment and support the realization of industrial linkage value with power grid investment as the core.Therefore,by analyzing the characterization of the derivative value of smart grid driven by investment,this paper constructs the evaluation index system of the derivative value of smart grid investment including 11 indicators.Then,the hybrid evaluation model of the derivative value of smart grid investment is developed based on anti-entropy weight(AEW),level based weight assessment(LBWA),and measurement alternatives and ranking according to the compromise solution(MARCOS)techniques.The results of case analysis show that for SG investment,the value of sustainable development can better reflect its derivative value,and when smart grid performs poorly in promoting renewable energy consumption,improving primary energy efficiency,and improving its own fault resistance,the driving force of its investment for future sustainable development will decline significantly,making the grid investment lack derivative value.In addition,smart grid investment needs to pay attention to the economy of investment,which is an important guarantee to ensure that the power grid has sufficient and stable sources of investment funds.Finally,compared with three comparison models,the proposed hybrid multi-criteria decision-making(MCDM)model can better improve the decision-making efficiency on the premise of ensuring robustness.
文摘Modelling of intraday increases in peak electricity demand using an autoregressive moving average-exponential generalized autoregressive conditional heteroskedastic-generalized single Pareto (ARMA-EGARCH-GSP) approach is discussed in this paper. The developed model is then used for extreme tail quantile estimation using daily peak electricity demand data from South Africa for the period, years 2000 to 2011. The advantage of this modelling approach lies in its ability to capture conditional heteroskedasticity in the data through the EGARCH framework, while at the same time estimating the extreme tail quantiles through the GSP modelling framework. Empirical results show that the ARMA-EGARCH-GSP model produces more accurate estimates of extreme tails than a pure ARMA-EGARCH model.
