Study on the extension of the dynamic benchmark system of per capita carbon emissions in China's county.

County is the center of China's socio-economic development and the key node for urban-rural integration. Also, the county is an important carrier for promoting urban and rural green development. Improving green and low-carbon development capabilities and formulating county-level low-carbon standards will play a significant role in promoting China's new people-oriented urbanization and rural revitalization. Although there have been extensive studies on low-carbon benchmarks, over half of the benchmarks tend to ignore the development stage of the evaluated region and its needs. When the region's economy reaches a certain level, constraints from low-carbon targets may limit the local development process. This study firstly allocated county carbon intensity reduction targets (CIRT) by considering the differences in county carbon reduction capacity and responsibility. Secondly, a dynamic benchmark system of per capita carbon emissions (PCCE) in counties in China is constructed. Finally, we took Changxing County in Zhejiang Province as a research case to verify the dynamic benchmark of PCCE. According to the carbon intensity target reduction rate (CITRR), China's counties can be divided into three categories: low carbon emissions reduction capability-responsible counties (L-CERCRC), medium carbon emissions reduction capability-responsible counties (M-CERCRC), and high carbon emissions reduction capability-responsible counties (H-CERCRC). The results show that (1) due to the national CO2 emission reduction target in 2030, the carbon intensity will be 60% lower than in 2005, the CITRR for China's 1510 counties range from 8.36 to 137.83%; the average CITRR is 48.40%. (2) Changxing County's CITRR is 57.71%, which belongs to the H-CERCRC. The PCCE of Changxing County will be much higher than the benchmark when the carbon peak is reached in the future. (3) For reaching the aiming benchmark, Changxing County is suggested to adjust its relevant influencing factors of PCCE for converting local's PCCE reaching to the benchmark within a certain time period. The dynamic benchmark system for PCCE in China's counties established in this study is economically sensitive, which not only takes the differences of counties into account, but also meets the needs of counties' diverse development form stages. This system provides counties a few coordinated directions which can improve the local's economic development and reduce greenhouse gas (GHGs) emissions through the development progress.

Resident Satisfaction of Urban Green Spaces through the Lens of Landsenses Ecology.

Residents' satisfaction of urban green space has been widely detected in living environments around the world. Most previous reports were performed with objective indicators to reflect the characteristics of vegetation and landscapes of residential green space. However, subjective senses as impact factors in the evaluation of residents' satisfaction based on landsenses ecology are scarce. To address this, in this study, physical perception, aesthetic cognition, and psychological cognition as latent variables in a structural equation model were investigated to determine the residents' satisfaction in Xiamen, in southeast China, a famously high green space coverage region. The results indicate that physical perception is the fundamental condition to improve residents' satisfaction, while aesthetic cognition and psychological cognition are the direct factors that influenced residents' satisfaction. Residents exhibit a preference for the residential green space which contains more biodiversity and landscape diversity, a higher biomass, and greater openness. In addition, the residents' perception significantly related to greenspace characteristics. The results provide a scientific basis for urban green space planning and optimization of ecological resources' allocation.

Factor decomposition of carbon emissions in Chinese megacities.

In this article, per capita urban carbon emissions were decomposed into manufacturing, transportation, and construction sectors using logarithmic mean Divisia index (LMDI) method. This new decomposition method can provide information about specific drivers of carbon emissions, including urban growth and resident living standards, rather than general demographic and economic factors identified by traditional methods. Using four Chinese megacities (Beijing, Tianjin, Shanghai, and Chongqing) as case studies, we analyzed the factors that influenced per capita carbon emissions from 2010 to 2015. The results showed that per capita carbon emissions increased in Tianjin and Chongqing whereas decreased in Beijing and Shanghai, and that manufacturing was a key driving force. In these four megacities, energy conservation strategies were successfully implemented despite poor energy structure optimization during 2010-2015. Development of manufacturing and improvement of resident living standards in the cities led to an increase in carbon emissions. The unique dual-core urban form of Tianjin might mitigate the increased carbon emissions caused by the transportation sector. Reductions in carbon emissions could be achieved by further optimizing energy structures, limiting the number of private cars, and controlling per capita construction.

Public perception of smog: A case study in Ningbo City, China.

Smog has become a public environmental crisis in most areas of China, and in response, research efforts have mainly focused on the chemical properties of smog and its impact on human health. However, in-depth research on the public's perception of smog has not yet been conducted. A survey of residents living around eight state-controlled atmospheric environmental monitoring sites in Ningbo City was conducted using stratified sampling. The data was statistically analyzed to investigate people's views and behavioral tendencies in smog weather, the influence of different media reports on public outlook, and public opinions on the local atmosphere and pollution management in different areas. The results showed that people's perception of smog differs greatly from actual conditions, indicating that the public opinion tends to deviate when faced with a public crisis. Mainstream media (TV, newspaper, etc.), accounting for 67% of all media sources, are the main source for dissemination of smog information. The main sources of pollution, in order of decreasing contribution, according to residents of Ningbo City are as follows: motor vehicle exhaust, industrial coal combustion, large-scale construction, biomass burning, and kitchen fumes. IMPLICATIONS: Since 2011, most areas of China have been affected by frequent smog. Most research on smog has been concentrated on its causes, alert systems, and prevention measures, whereas in-depth research on the public perception of smog has not yet been conducted. When a risky environmental event such as smog occurs, consequences may be more serious than the event itself will cause if people take irrational measures because of lacking relevant knowledge. Therefore, investigating people's attitude and response to smog is both theoretically and practically significant.

Assessment of eco-environmental quality of Western Taiwan Straits Economic Zone.

Regional eco-environmental quality is the key and foundation to the sustainable socio-economic development of a region. Eco-environmental quality assessment can reveal the capacity of sustainable socio-economic development in a region and the degree of coordination between social production and the living environment. As part of a new development strategy for Fujian Province, the Western Taiwan Straits Economic Zone (hereafter referred to as the Economic Zone) provides an important guarantee for the development of China's southeastern coastal area. Based on ecological and remote sensing data on the Economic Zone obtained in 2000, 2005, and 2010, this study investigated county-level administrative regions with a comprehensive index of eco-environmental indicators. An objective weighting method was used to determine the importance of each indicator. This led to the development of an indicator system to assess the eco-environmental quality of the economic zone. ArcGIS software was used to assess the eco-environmental quality of the economic zone based on each indicator. The eco-environmental quality index (EQI) of the county-level administrative regions was calculated. The overall eco-environmental quality of the Economic Zone during the period studied is described and analyzed. The results show that the overall eco-environmental quality of the Economic Zone is satisfactory, but significant intraregional differences still exist. The key to improving the overall eco-environmental quality of this area is to restore vegetation and preserve biodiversity.

[Urban sustainability assessment based on eco-efficiency and its application].

Comprehensive assessment on urban ecological system is one of important issues for regional sustainable development research. Urban eco-efficiency is the effective tool to integrate sustainabable strategies into the development planning and management initiatives, which expresses the relationship of inputs of ecological impact and outputs of social welfare. An evaluation model of urban sustainability based on eco-efficiency was proposed by integrating Ecological Footprint model and Human Development Index. Using this model, a case study of Xiamen City was carried out using the statistical data from 2000 to 2006. There is a fluctuation of ecoefficiency which showed a steady increase first, then a sharp decline and a marginal increase towards the end. During 2000-2006, the per-capita ecological footprint increases from 4.279 hm2 to 5.462 hm2; and the Human Development Index increases from 0.831 to 0.896; thus the eco-efficiency, resource efficiency and environmental efficiency declines by 15.5%, 15.7% and 15.3% respectively. Xiamen experiences sustainability hypo-increasing phase first, sustainability increasing phase secondly, then sustainability decreasing phase, and sustainability increasing phase in the end. On the whole, the urban sustainability shows a decreasing trend.