An interesting look at AI and Neural based Environmetrics to underpin real Environmentally based ... more An interesting look at AI and Neural based Environmetrics to underpin real Environmentally based Investment
Abstract
Atmospheric concentrations of greenhouse gases are determined by the balance between sou... more Abstract Atmospheric concentrations of greenhouse gases are determined by the balance between sources (emissions of the gas from human activities and natural systems) and sinks (the removal of the gas from the atmosphere by conversion to a different chemical compound). The proportion of an emission remaining in the atmosphere after a specified time is the "Airborne fraction" (AF). More precisely, the annual AF is the ratio of the atmospheric increase in a given year in that year’s total emissions. For carbon dioxide (CO2), the AF over the last 50 years (1956–2006) has been increasing at 0.25 ± 0.21%/year. In this paper, we focus upon the solutions for alleviating the AF of CO2. In our empirical study we use multilayer perceptron neural network. This technology is very powerful for the treatment of complexity and non-linearity. Results prove that all renewable energy sources have weak carbon intensity. In addition, sensitivity analysis allows us to classify these sources according to an increasing intensity of carbon.
With 75% of European pension funds and equity investment funds now requiring tangible Environment... more With 75% of European pension funds and equity investment funds now requiring tangible Environmental, Social and Governance, (ESG) filters and policies to be present in investee company’s, this has led to significant confusion as to what ESG actually is.Without an objective, quantative, globally accepted ESG baseline metric upon which to then devise thematic filters and exclusion of so called “sin sector stocks”, to comply with investors and shareholders conscience driven requirements, we have a situation whereby significant un-verified claims are made as to the green, eco and ethical credentials of corporate working practices, these un-verified claims are led by the Socially Responsible Investment, (SRI) Industry and the sub sectors of that Industry which are Responsible Investment, (RI) and Corporate Social Responsibility, (CSR), all of these have worthy intentions but are more driven by PR, Marketing , Conferences and on-line publications than they are driven by empirical quantitive substance and ability to deliver real third party verified results.
Investment into reducing the man made causes of rapid climate change is an urgent and necessary g... more Investment into reducing the man made causes of rapid climate change is an urgent and necessary global focus. However, has the rise in special interest groups, (commercial & NGO led) creation of their own global "standards" purporting to be legitimate ISO Standards caused the meltdown in Carbon Markets?. This report analyses the rise and fall of climate change investment "standards", and calls for real transparent investment grade ISO global standards to regain the much needed investor confidence.
An interesting look at AI and Neural based Environmetrics to underpin real Environmentally based ... more An interesting look at AI and Neural based Environmetrics to underpin real Environmentally based Investment
Abstract
Atmospheric concentrations of greenhouse gases are determined by the balance between sou... more Abstract Atmospheric concentrations of greenhouse gases are determined by the balance between sources (emissions of the gas from human activities and natural systems) and sinks (the removal of the gas from the atmosphere by conversion to a different chemical compound). The proportion of an emission remaining in the atmosphere after a specified time is the "Airborne fraction" (AF). More precisely, the annual AF is the ratio of the atmospheric increase in a given year in that year’s total emissions. For carbon dioxide (CO2), the AF over the last 50 years (1956–2006) has been increasing at 0.25 ± 0.21%/year. In this paper, we focus upon the solutions for alleviating the AF of CO2. In our empirical study we use multilayer perceptron neural network. This technology is very powerful for the treatment of complexity and non-linearity. Results prove that all renewable energy sources have weak carbon intensity. In addition, sensitivity analysis allows us to classify these sources according to an increasing intensity of carbon.
With 75% of European pension funds and equity investment funds now requiring tangible Environment... more With 75% of European pension funds and equity investment funds now requiring tangible Environmental, Social and Governance, (ESG) filters and policies to be present in investee company’s, this has led to significant confusion as to what ESG actually is.Without an objective, quantative, globally accepted ESG baseline metric upon which to then devise thematic filters and exclusion of so called “sin sector stocks”, to comply with investors and shareholders conscience driven requirements, we have a situation whereby significant un-verified claims are made as to the green, eco and ethical credentials of corporate working practices, these un-verified claims are led by the Socially Responsible Investment, (SRI) Industry and the sub sectors of that Industry which are Responsible Investment, (RI) and Corporate Social Responsibility, (CSR), all of these have worthy intentions but are more driven by PR, Marketing , Conferences and on-line publications than they are driven by empirical quantitive substance and ability to deliver real third party verified results.
Investment into reducing the man made causes of rapid climate change is an urgent and necessary g... more Investment into reducing the man made causes of rapid climate change is an urgent and necessary global focus. However, has the rise in special interest groups, (commercial & NGO led) creation of their own global "standards" purporting to be legitimate ISO Standards caused the meltdown in Carbon Markets?. This report analyses the rise and fall of climate change investment "standards", and calls for real transparent investment grade ISO global standards to regain the much needed investor confidence.
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Atmospheric concentrations of greenhouse gases are determined by the balance between sources (emissions of the gas from human activities and natural systems) and sinks (the removal of the gas from the atmosphere by conversion to a different chemical compound). The proportion of an emission remaining in the atmosphere after a specified time is the "Airborne fraction" (AF). More precisely, the annual AF is the ratio of the atmospheric increase in a given year in that year’s total emissions. For carbon dioxide (CO2), the AF over the last 50 years (1956–2006) has been increasing at 0.25 ± 0.21%/year.
In this paper, we focus upon the solutions for alleviating the AF of CO2. In our empirical study we use multilayer perceptron neural network. This technology is very powerful for the treatment of complexity and non-linearity.
Results prove that all renewable energy sources have weak carbon intensity. In addition, sensitivity analysis allows us to classify these sources according to an increasing intensity of carbon.
This report analyses the rise and fall of climate change investment "standards", and calls for real transparent investment grade ISO global standards to regain the much needed investor confidence.
Atmospheric concentrations of greenhouse gases are determined by the balance between sources (emissions of the gas from human activities and natural systems) and sinks (the removal of the gas from the atmosphere by conversion to a different chemical compound). The proportion of an emission remaining in the atmosphere after a specified time is the "Airborne fraction" (AF). More precisely, the annual AF is the ratio of the atmospheric increase in a given year in that year’s total emissions. For carbon dioxide (CO2), the AF over the last 50 years (1956–2006) has been increasing at 0.25 ± 0.21%/year.
In this paper, we focus upon the solutions for alleviating the AF of CO2. In our empirical study we use multilayer perceptron neural network. This technology is very powerful for the treatment of complexity and non-linearity.
Results prove that all renewable energy sources have weak carbon intensity. In addition, sensitivity analysis allows us to classify these sources according to an increasing intensity of carbon.
This report analyses the rise and fall of climate change investment "standards", and calls for real transparent investment grade ISO global standards to regain the much needed investor confidence.