Improving the sustainability of traditional resource-based cities in China has been a core issue and policy-priority for Chinese government to establish long-term ecological civilization, particularly for northeastern China which is recognized as a typical agglomeration area of resources cities. In this study, we establish a three-layer index system consisting of a comprehensive layer, systemic layer, and variable layer, and including 22 indicators which are grouped into economic, social and environmental subsystems. After that, the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method was applied to measure and rank the sustainability of the selected 15 typical resource-based cities in northeast China, and then a GIS (Geographical Information System) technique based on the software of SuperMap was applied to map the sustainability in terms of the spatial effects among these cities. The results reveal that a unilateral improvement of a subsystem did not mean an improvement or contribution to whole system. In detail, during the past 15 years from 2000 to 2015, the comprehensive sustainability of resource-based cities in Northeastern China shows a declining trend in the mass, and the sustainability of the economic subsystem shows increase; the sustainability of the social system remains stable, while the environmental subsystem shows decrease. These situations might result from policy interventions during the past 15 years, therefore, promoting the sustainability of resource-based cities needs a historical approach, which should focus on the coordinated development of its economic, social, and environmental subsystems.

Issues on climate change have been recognized as serious challenges for regional sustainable development both at a global and local level. Given the background that most of the artificial carbon emissions are resulted from the energy consumption sector and the energy is also the key element resource for economic development, this paper investigated the relationship between CO₂ emission, fossil energy consumption, and economic growth in the period 1970–2008 of nine European countries, based on the approach of Granger Causality Test, followed by the risk analysis on impacts of CO₂ reduction to local economic growth classified by the indicator of causality degree. The results show that there are various feedback causal relationships between carbon emission, energy consumption and economic growth, with both unidirectional and dual-directional Granger causality. The impact of reducing CO₂ emission to economic growth varies between countries as well.

This paper examines the GHG emission of industrial process in Shenyang city, in the Liaoning province of China, using the 2006 IPCC greenhouse gas inventory guideline. Results show that the total GHG emissions of industrial process has increased, from 1.48 Mt in 2004 to 4.06 Mt in 2009, except for a little decrease in 2008. The cement industry, and iron and steel industries, are the main emission sources, accounting for more than 90% of the total carbon emissions. GHG emissions in 2020 are estimated based on scenario analysis. The research indicates that the cement industry, and iron and steel industries, will still be the largest emission sources, and the total carbon emissions under the business as usual (BAU) scenario will be doubled in 2020 compared with that of 2009. However, when countermeasures are taken, the GHG emission will reduce significantly. Using more clinker substitutes for blended cement, and increasing direct reduction iron process and recycled steel scraps are efficient measures in reducing GHG emission. Scenario 4, which has the highest ratio of 30/70 blended cement and the highest ratio of steel with recycled steel-EAF process, is the best one. In this scenario, the industrial process GHG emission in 2020 can almost stay the same as that of 2009. From the perspective of regions, cement industry and iron and steel industry accounted for the vast majority of GHG emission in all industries. Meanwhile, these two industries become the most potential industries for reduction of GHG emission. This study provides an insight for GHG emission of different industries at the scale of cities in China.

Decoupling human well-being and local economic growth from resources consumption and environmental degradation has been recognized as a common vision to meet global sustainability. This paper taking Shenyang city as studied case aims to measure the decoupling process by proposing a set of new emergy-based and efficiency-oriented indicators. Decoupling process was verified in period of 1995–2010, and five new indicators including economic efficiency, the environmental pressure, the emergy-based five-year yield efficiency, the investment cost for decoupling, and the job-opportunities cost for decoupling were developed and applied. The results indicate that decoupling in Shenyang shows an erratic appearance, the trajectory of economic growth, and environmental pressure show absolute decoupling, while that of economic growth and resources utilization shows frequentative bending; emergy-based economic efficiency has been improved and the environmental pressure decreased along with the economic growth but the relative job cost per unit remains almost at the same level. However, this isolated and methodology-oriented case study provided the open-mind understandings to policy-making, thus, a wider scale comparison between different cities should be carried out for more knowledge mining.