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    Evolutionary Game Analysis of Green Loans Program to Achieve the National Carbon Emissions Reduction Target in South Korea

    Source: Journal of Management in Engineering:;2022:;Volume ( 038 ):;issue: 003::page 04022018
    Author:
    Hakpyeong Kim
    ,
    Heeju Choi
    ,
    Taehoon Hong
    ,
    Changyoon Ji
    ,
    Jaewook Lee
    DOI: 10.1061/(ASCE)ME.1943-5479.0001041
    Publisher: ASCE
    Abstract: The green loans program has continued to attract attention as an effective measure for promoting green retrofit to reduce energy consumption in old buildings. Various external factors negatively affect the decision-making process for the government and building owners. In particular, it is unclear how incentives and penalties take effect and to what extent they can influence the green loans program. Therefore, this study identified the influence of political factors, such as loan support and carbon taxation, on the strategic choices of the government and building owners. The results of this study showed that (1) as the supporting interest rate increases, both government and building owners are more likely to select a positive strategy; (2) as the carbon tax rate increases, both government and building owners are more likely to select a positive strategy; and (3) if the maximum supporting interest rate of 4.45% is applied, the greenhouse gas (GHG) emission reduction effect can be increased by about 3–5 times from the current level. It is not easy to achieve the national carbon emission reduction target for 2030 and 2050 only through green retrofitting of old buildings under the green loans program. Therefore, the government should develop an additional research and development budget and encourage developers to enhance the efficiency of green technologies.
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      Evolutionary Game Analysis of Green Loans Program to Achieve the National Carbon Emissions Reduction Target in South Korea

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4281859
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    contributor authorHakpyeong Kim
    contributor authorHeeju Choi
    contributor authorTaehoon Hong
    contributor authorChangyoon Ji
    contributor authorJaewook Lee
    date accessioned2022-05-07T19:58:17Z
    date available2022-05-07T19:58:17Z
    date issued2022-03-10
    identifier other(ASCE)ME.1943-5479.0001041.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4281859
    description abstractThe green loans program has continued to attract attention as an effective measure for promoting green retrofit to reduce energy consumption in old buildings. Various external factors negatively affect the decision-making process for the government and building owners. In particular, it is unclear how incentives and penalties take effect and to what extent they can influence the green loans program. Therefore, this study identified the influence of political factors, such as loan support and carbon taxation, on the strategic choices of the government and building owners. The results of this study showed that (1) as the supporting interest rate increases, both government and building owners are more likely to select a positive strategy; (2) as the carbon tax rate increases, both government and building owners are more likely to select a positive strategy; and (3) if the maximum supporting interest rate of 4.45% is applied, the greenhouse gas (GHG) emission reduction effect can be increased by about 3–5 times from the current level. It is not easy to achieve the national carbon emission reduction target for 2030 and 2050 only through green retrofitting of old buildings under the green loans program. Therefore, the government should develop an additional research and development budget and encourage developers to enhance the efficiency of green technologies.
    publisherASCE
    titleEvolutionary Game Analysis of Green Loans Program to Achieve the National Carbon Emissions Reduction Target in South Korea
    typeJournal Paper
    journal volume38
    journal issue3
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0001041
    journal fristpage04022018
    journal lastpage04022018-16
    page16
    treeJournal of Management in Engineering:;2022:;Volume ( 038 ):;issue: 003
    contenttypeFulltext
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