Environmental aspects in free trade agreements in the Asia-Pacific region

Carrapatoso, Astrid

doi:10.1007/s10308-008-0178-y

Cited by 6 publications

(2 citation statements)

References 26 publications

(8 reference statements)

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“…The number of publications in the top ten countries accounted for 87.40% of the total, while other countries and regions only accounted for 12.6%. Therefore, environmental governance has nothing to do with political, economic, and cultural background [19].…”

Section: Literature Review 21 Current Situation Of Research Results On Environmental Impact Of Construction Industrymentioning

confidence: 99%

Life Cycle Assessment of Bridges Using Bayesian Networks and Fuzzy Mathematics

et al. 2021

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At present, reducing the impact of the construction industry on the environment is the key to achieving sustainable development. Countries all over the world are using software systems for bridge environmental impact assessment. However, due to the complexity and discreteness of environmental factors in the construction industry, they are difficult to update and determine quickly, and there is a phenomenon of data missing in the database. Most of the lost data are optimized by Monte Carlo simulation, which greatly reduces the reliability and accuracy of the research results. This paper uses Bayesian advanced fuzzy mathematics theory to solve this problem. In the research, a Bayesian fuzzy mathematics evaluation and a multi-level sensitivity priority discrimination model are established, and the weights and membership degrees of influencing factors were defined to achieve comprehensive coverage of influencing factors. With the support of theoretical modelling, software analysis and fuzzy mathematics theory are used to comprehensively evaluate all the influencing factors of the five influencing stages in the entire life cycle of the bridge structure. The results show that the material manufacturing, maintenance, and operation of the bridge still produce environmental pollution; the main source of the emissions exceeds 53% of the total emissions. The effective impact factor reaches 3.01. At the end of the article, a big data sensitivity model was established. Through big data innovation and optimization analysis, traffic pollution emissions were reduced by 330 tonnes. Modeling of the comprehensive research model; application; clearly confirms the effectiveness and practicality of the Bayesian network fuzzy number comprehensive evaluation model in dealing with uncertain factors in the evaluation of the sustainable development of the construction industry. The research results have made important contributions to the realization of the sustainable development goals of the construction industry.

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Section: Literature Review 21 Current Situation Of Research Results On Environmental Impact Of Construction Industrymentioning

confidence: 99%

Life Cycle Assessment of Bridges Using Bayesian Networks and Fuzzy Mathematics

et al. 2021

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“…While concerns are expressed in the literature about the coherence between regional and multilateral cooperation (Leal-Arcas, 2011), it is also recognized that PTAs could play a useful role in providing a supplementary forum for bringing together a number of key players (Lawrence, 2009) and fostering bilateral, regional and trans-regional environmental cooperation (Carrapatoso, 2008). With the current complexities of the UNFCCC negotiations, PTAs with their negotiation leverages and commercial and financial incentives can facilitate achievement of climate policy objectives.…”

Section: Climate Change Cooperation Under Regional Trade Agreementsmentioning

confidence: 99%