Over the past two decades, the waste reduction problem has been a major issue in environmental protection. Both recycling and waste reduction policies have become increasingly important. As the complexity of decision-making has increased, it has become evident that more factors must be considered in the development and implementation of policies aimed at resource recycling and waste reduction. There are many studies focused on waste management excluding waste reduction. This study paid more attention to waste reduction. Social, economic, and management aspects of waste treatment policies were considered in this study. Further, a life-cycle assessment model was applied as an evaluation system for the environmental aspect. Results of both quantitative and qualitative analyses on the social, economic, and management aspects were integrated via the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method into the comprehensive decision-making support system of multi-criteria decision-making (MCDM). A case study evaluating the waste reduction policy in Taoyuan County is presented to demonstrate the feasibility of this model. In the case study, reinforcement of MSW sorting was shown to be the best practice. The model in this study can be applied to other cities faced with the waste reduction problems.
Multimedia and site-specific risk assessments (RA) of major sources releasing arsenic (As) were converted into sector-based risk coefficients, which were integrated with the Input Output Table (IO) to analyze the association between sector activities and health risks. The developed IO-RA framework is a valuable tool for unfolding the risk chain linking the receptors, exposure pathways, emission sources, and production and consumption activities associated with various industrial sectors. The enlarged decision space along the chain can then be considered in planning risk management strategies. This case study estimates that air emissions of As result in 1.54 carcinogenic cases. Export is the primary driving force and accounts for approximately 48% of the final demand that leads to population risks of As. The ranking of the contribution of the five sectors in terms of total population risks is as follows: electricity supply (1.06E+00), steelmaking (2.2 × 10(-1)), cement kilns (1.50 × 10(-1)), semiconductor manufacturing (6.34 × 10(-2)) and incinerators (4.31 × 10(-2)). The electricity supply, steelmaking industry, and cement kilns are the major sectors, not only because their emissions directly cause risk but also because they have a stronger influence on the risk generated by other sectors.
We develop a novel inventory method called Dynamic Hybrid Multi-Region Inventory analysis (DHMRI), which integrates the EEMRIOA and Integrated Hybrid LCA and applies time-dependent environmental intervention information for inventory analysis. Consequently, DHMRI is able to quantify the change in the environmental footprint caused by a specific policy while taking structural changes and technological dynamics into consideration. DHMRI is applied to assess the change in the total CO2 emissions associated with the total final demand caused by the climate policy in Taiwan to demonstrate the practicality of this novel method. The evaluation reveals that the implementation of mitigation measures included in the existing climate policy, such as an enhancement in energy efficiency, promotion of renewable energy, and limitation of the growth of energy-intensive industries, will lead to a 28% increase in the total CO2 emissions and that the main driver is the export-oriented electronics industry. Moreover, a major increase in the total emissions is predicted to occur in Southeast Asia and China. The observations from the case study reveal that DHMRI is capable of overcoming the limitations of existing assessment tools at macro-level evaluation of environmental policies.
In the fight against the COVID-19 pandemic, Taiwan, with its universal masking policy, slowed down the spread of cases and flattened its epidemic curve without enforcing lockdown or mass quarantine in 2020. This study identifies the distinguishing features of Taiwan’s universal masking policy practice, such as priority, continuous improvement, multi-stakeholder partnership, transparency and accountability, and altruism and social solidarity. By confronting uncertainty through the COVID-19 crisis, this study suggests that face masking, rather than being just a physical barrier of non-pharmacological intervention, can be adopted as an interactive policy platform to empower the public for stimulating cross-sector collaboration towards social innovation and creating spillover effects, such as acts of public trust, altruism, and solidarity.
Summary
Taiwan is attempting to implement the concept of a green economy through a Low Carbon Growth Plan (LCGP). However, the existing decision support tools for this measure have three key limitations: ignorance regarding the open economy; a lack of life cycle thinking; and limited categories of environmental impact. This study integrates environmentally extended, multi‐region input‐output analysis and hybrid life cycle assessment to quantify the potential environmental impact of the industrial activities and energy structure in Taiwan in 2020. Two novel indicators, environmental debts and loans, are also applied to identify the geographical shifting effects and tie environmental responsibility to the discussion.
The results of this study reveal that under the existing LCGP, relative decoupling will be attained, but no significant environmental cobenefits other than those affecting climate change can be gained. Moreover, the current emission pledges cannot be fulfilled. The presence of increased environmental debt ratios reveals the geographical shifting effect of the LCGP. The main driver of the expansion of the environmental footprint can be attributed to the export of electronic components and products, which are not included in the agenda of policy discussions. As a result, three crucial policies are suggested to modify the existing LCGP: the implementation of a higher energy efficiency improvement target; rethinking the constraints on the electronics industry; and the development of a mechanism to include environmental issues in free trade agreement negotiations. With these changes, the realization of the current emission pledge and a green economy could be possible.
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