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Integrating climate change mitigation and adaptation: Refining theory for a mathematical framework to quantify private and public cost-effectiveness, and C emissions for energy and development projects

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  • McHenry, Mark P.

Abstract

This work builds on a bottom-up market greenhouse gas (GHG) mitigation approach to determine the mitigation potential of specific activities by introducing two new concepts: the “adaptation potential” (defined as the difference between the sum of costs and benefits of adaptation, over a specified interval), and; “no behest” opportunities (defined as when the benefits of an activity equal or exceed both the costs to the private investor and the society, excluding the benefits of avoided climate change). “No behest” activities are contrasted with “no regrets” opportunities, whose benefits are equal to, or exceed costs to society, excluding the benefits of avoided climate change. The word “behest” conveys the value of requiring little further incentive or regulation to motivate private investors to take advantage of existing economic opportunities. Therefore, “no behest” opportunities are similar to “no regrets” opportunities, but with a greater relevance to private investments that both mitigate and adapt by including the real market benefits and costs of cleaner development options. This work utilises several mathematical methods to remove information asymmetries between market decision-making and what is both economically and environmentally efficient. These methods can be used for both contextually based bottom-up and top-down scenarios in either an adaptation and mitigation framework. The outputs are a quantified change in profitability and parallel GHG emissions of specific activity baselines that are suitable for carbon (C) liability assessment, investment and government emission targets in the current and projected policy environments. These methods can also be used to determine “no behest” activities which have lower private barriers to implementation than “no regrets” activities.

Suggested Citation

  • McHenry, Mark P., 2011. "Integrating climate change mitigation and adaptation: Refining theory for a mathematical framework to quantify private and public cost-effectiveness, and C emissions for energy and development project," Renewable Energy, Elsevier, vol. 36(4), pages 1166-1176.
  • Handle: RePEc:eee:renene:v:36:y:2011:i:4:p:1166-1176
    DOI: 10.1016/j.renene.2010.10.014
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    References listed on IDEAS

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    1. Alexander Ljungqvist & Matthew Richardson, 2003. "The cash flow, return and risk characteristics of private equity," NBER Working Papers 9454, National Bureau of Economic Research, Inc.
    2. Parker, Rh, 1968. "Discounted Cash Flow In Historical Perspective," Journal of Accounting Research, Wiley Blackwell, vol. 6(1), pages 58-71.
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    1. Ross, S.J. & McHenry, M.P. & Whale, J., 2012. "The impact of state feed-in tariffs and federal tradable quota support policies on grid-connected small wind turbine installed capacity in Australia," Renewable Energy, Elsevier, vol. 46(C), pages 141-147.
    2. McHenry, Mark P., 2012. "A technical, economic, and greenhouse gas emission analysis of a homestead-scale grid-connected and stand-alone photovoltaic and diesel systems, against electricity network extension," Renewable Energy, Elsevier, vol. 38(1), pages 126-135.
    3. McHenry, Mark P., 2012. "Small-scale (≤6 kWe) stand-alone and grid-connected photovoltaic, wind, hydroelectric, biodiesel, and wood gasification system’s simulated technical, economic, and mitigation analyses for rural region," Renewable Energy, Elsevier, vol. 38(1), pages 195-205.
    4. Auld, Trisha & McHenry, Mark P. & Whale, Jonathan, 2014. "Options to mitigate utility-scale wind turbine impacts on defence capability, air supremacy, and missile detection," Renewable Energy, Elsevier, vol. 63(C), pages 255-262.

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