Chile has experienced rapid economic growth in recent decades. However, this economic growth has been accompanied by a huge increase in waste generation. Although the country has historically put emphasis on appropriate final disposal of waste through landfill, the environmental problems generated by this activity have shown that it is necessary to improve the national solid waste management approach. Santiago, the capital of Chile, generates about 43% of the national solid waste. A study conducted by the Ministry of the Environment in 2011 found that 14% of the waste generated in the capital is recycled, mostly thanks to local campaigns and collection by the informal sector (scavengers). While in 2009 the government set a target to recycle 25% of municipal inorganic waste by 2020, there is no information on the implementation process to reach this target. Most importantly, the law has not established specific recycling rates for target materials, and, has not taken into consideration organic waste recovery, which accounts for 48% of the total waste stream. In order to meet the government target and at the same time promote organic waste recovery, this study proposes and evaluates the environmental impacts of different viable alternatives for municipal solid waste collection, treatment and recovery by using Life Cycle Assessment (LCA). The proposed scenarios range from the current situation to the introduction of organic waste recovery and the inclusion of informal recyclers in the collection process. By considering the investment and treatment costs of each alternative, the study identifies the most effective scenario in terms of avoided pollutants per cost ratio. Finally, the study analyzes the feasibility of the implementation of the selected scenario by indicating benefits and challenges. The results of the scenario evaluation suggest that the scenario with the highest recovery of inorganic and organic materials, coupled with the participation of the informal collectors, will have a positive impact not only in terms of meeting and surpassing the government goal, but also in the reduction of CO₂eq emissions. This scenario can reduce by approximately 3.5% the national CO₂eq generated, with a cost of $14.1/ton. Moreover, the potential reductions of CH₄ account for 8.5% of the national CH₄ emissions and 24.5% of the national waste sector CH₄ emissions.

The cost of environmental degradation has already had a dramatic impact on the Chinese economy. In order to curb these trends, the government of China has introduced stricter regulations. With this in mind, it is important to quantify the potential co-benefits of introducing air pollution and climate change mitigation policies. This study proposes relevant scenarios ranging from the current trends (baseline) to the introduction of different policies in the thermal power sector, including different carbon tax rates, technology innovation promotion, and technology cost reduction methods. We aim to comparatively evaluate the impact of the proposed policies within the thermal sector and within the entire socio-economic system. To this end, we used a dynamic input–output (I-O) model, into which high-efficiency technologies were incorporated as new thermal power industries in order to estimate policy impact during the time period 2010–2025. The results of this study demonstrated that the introduction of one or more of the following policies: carbon taxes, subsidies, technology innovation, and technology cost reduction, has no notable impact on the environment or the economy without the implementation of environment regulations. In contrast, the strong support of a government subsidy coupled with strict environmental regulations will promote technological innovation, for example through the natural gas combined cycle (NGCC) and the integrated coal gasification combined cycle (IGCC). Our study also showed that the reduction of air pollution and greenhouse gas emissions as well as energy consumption would curb economic development to a certain extent. Taking this into consideration, innovation must also be promoted in other economic sectors. This research provides a strong reference for policy-makers to identify effective polices under different types of environmental regulations.

An integrated optimization simulation model has been developed based on an input-output approach to mitigate water pollution and water scarcity through embedding environmental economic policies and applicable technologies into a complex environ-economic system to obtain an optimal set of policies and technologies that promotes the maximization of the regional economy under the constraints of water pollutant discharge and water availability. An empirical study is undertaken with the Source Region of Liao River as the target area to verify the performance of the model. The relationships between the water environment and socio-economic systems are presented by clarifying the trends in economic development, water pollutant discharge and water supply and demand during a time horizon from 2011 to 2020. The endogenously-formed optimal set of policies and industrial restructuring simultaneously facilitate the reduction of water pollutant discharge and water consumption and increase the water supply. The extent of the mitigation of water pollution and water scarcity via applied policies and technologies promoted by the subsidies provided by the government are specified, and the mechanism of the policy application and subsidization distribution is explained. This model has applicability for other regions in terms of giving an optimal solution via comprehensive assessment of all of the proposed sustainability-related policies with sufficient data accessibility to achieve regional sustainable development.

Given increasing concern about seeking solutions to water scarcity and pollution (WSP), this paper is intent on developing significant assessment indicators as decision variables for providing reference for policy proposals on the mitigation of WSP. An indicator package consisting of footprints of freshwater consumption (FC) and water pollutant discharge (WPD), virtual contents of freshwater and water pollutants, and inter-sectoral linkages in terms of industrial production, FC and WPD has been newly set up based on an extended input-output model. These indicators allow to provide specific and well-structured analysis on FC, WPD and the economy as well as their implicated interrelationships. The Source Region of Liao River located in northeastern China was selected as an empirical study area to apply the indicator package. The results indicate that farming and production of electricity industries are major contributors to FC; farming and breeding industries, and households are major contributors to WPD. The study area exports a large amount of net virtual total nitrogen, total phosphorus and chemical oxygen demand (29.01 × 10³ t, 4.66 × 10³ t, 60.38 × 10³ t, respectively). Farming and breeding industries are the sectors whose production could be constrained to contribute to mitigating WSP without excessive negative impacts on the economy. Two categories of policies have been proposed to mitigate WSP based on the analysis of the indicator package. One is to introduce direct water pollutant treatment and water-saving policies to the target sectors; the other is to adjust industrial structure. The integrated indicator package developed and the methodology presented are expected to provide policy researchers and decision makers with references for more sound water management.