Comparative analysis of environmental carrying capacity of the Bohai Sea Rim area in China

Environmental carrying capacity is an essential metric for measuring regional sustainability. Although the term "carrying capacity" has been applied for over a century, the concept definition, quantitative methods and comprehensive evaluation remain arguable. This study analyzed the carrying capacity of four environmental elements, including water resources, air, surface water and offshore sea, and integrated them into a comprehensive index to represent overall regional profiles of resources and environment. The method was then applied to thirteen municipalities in the Bohai Sea Rim area, one of the most rapidly developing regions in transition China. The results show that the comprehensive environmental carrying capacity of the municipalities in the south sub-region were largest in 2007, while that of the west municipalities were lowest. The regional economic development exceeded the overall environmental carrying capacity by 36% and the west sub-region area deserves overwhelming attention for future industrial allocation.     

Emergy Analysis of Human Carrying Capacity and Regional Sustainability: an Example Using the State of Maine

The human carrying capacity for a region at a specified standard of living depends on the economic and environmental resources of the region and the exchange of resources across regional boundaries. The length of time that a human population living at a given standard can be sustained depends on the rates of use and renewal of the resource base. All environmental, economic, and social resources are produced as a result of energy transformations; therefore, the energy required for their production can be specified and evaluated in common terms by converting their energy values into emergy. Emergy is defined as the available energy of one kind, previously used up directly and indirectly to make a product or service. Its unit is the emjoule. Emergy values and indices are used to evaluate the resource base for Maine, a politically defined region, and to estimate its human carrying capacity at the 1980 standard of living and for possible future resource bases. Emergy indices for Maine are compared with similar indices for Florida, Texas, and the United States to demonstrate variations in human carrying capacity and sustainability among different regions. The 1980 standard of living for Maine, Florida, Texas, and the Nation as measured by emergy use per person fell within a relatively narrow range of 3.4E16 to 4.3E16 solar emjoules y-1. The human carrying capacity for a region is considered within a pulsing paradigm for sustainability and within the constraints provided by a renewable resource base. For example, in the short-term the developed human carrying capacity for Maine is largely determined by the fuel emergy inflow relative to renewable emergy resources. If purchased emergy inflows relative to Maine's renewable emergy increase to the average ratio for a developed country around 1980, the population living in Maine at 1980 standards could increase to 2.9 million or 2.6 times Maine's 1980 population. In contrast, the human carrying capacity based on Maine's renewable resources alone was 0.37 million people at the 1980 standard of living or 33% of the 1980 population.     

“省公顷”下渭河干流甘肃段生态安全评价及预测

摸清流域生态需求和生态供给是流域生态治理和促进其高质量发展的基础。文中应用改进生态足迹法对2009—2018年渭河干流甘肃段生态足迹和生态承载力进行核算,并运用GM(1,1)模型对流域未来的生态供需趋势进行预测。结果显示,2009—2018年渭河干流甘肃段生态足迹和生态承载力呈波动下降趋势,生态足迹下降2.26%,下降趋势低于生态承载力的4.18%;生态赤字以每年0.58%的速率波动减小。如果继续当前的发展模式,那么预计到2028年,生态赤字较2018年降低16.27%,流域生态安全状况将得到缓解。     

An environmental impact assessment of economic complexity and energy consumption: Does institutional quality make a difference?

The relationship between ecological footprint and economic complexity has important policy implications for environmental sustainability. Furthermore, institutional quality can be an imperative tool to ensure environmental sustainability, and it may also moderate the nexus between economic complexity and ecological footprint. Therefore, this study investigates the linkage between economic complexity, institutional quality, disaggregated energy consumption, and economic growth on environmental degradation in emerging countries from 1984 to 2017. In addition, it also probes the moderating effect of institutional quality in the nexus between economic complexity and footprint. To do so, the study applies an advanced econometric approach, cross-sectional autoregressive distributed lags (CS-ARDL) estimator, for short-run and long-run estimation, that allows heterogeneity in the slope parameters and dependencies across countries. The analytical outcomes demonstrate that economic complexity increases environmental degradation by exacerbating ecological footprint, while a high level of economic complexity mitigates ecological footprint. The findings of the study unfold that institutional quality supports environmental sustainability by reducing the ecological footprint. The outcomes also indicated that institutional quality promotes environmental sustainability by moderating the nexus between economic complexity and ecological degradation. Moreover, renewable energy is found to decrease ecological footprint, whereas non-renewable energy use leads to intensifying the ecological footprint. It was also found that there is an inverted u-shaped association between ecological footprint and economic growth. Based on the results, the study suggests that emerging countries should accelerate economic complexity along with a stronger institutional framework to combat environmental issues without compromising sustainable economic growth.     

Ecological footprint accounting: A multi-scale approach based on net primary productivity

The Ecological footprint accounting is a resource accounting tool that is used to track the sustainability of human systems. In this paper, we present a new approach to calculate the Ecological Footprint metrics at different geographic scales using Net Primary Productivity data. Our study focuses on the town of Afourar, Morocco, as a case study examined at three different scales; national, regional, and provincial scale. In contrast with other studies, our footprint accounting results are expressed in what we have called territorial hectares. The accounting results show that geographic scale has a significant influence on the footprint model, where three cases of sustainability were found. This implies that the efforts to maintain the sustainability of territories are more important at some scales than others. We argue that the relationship between sustainability and geographic scale is both strong and complex and that sustainability is a spatially relative concept. Therefore, we conclude that multi-scale analysis is crucial for making sustainable decisions and management policies.     

An Indicator for the Economic Performance and Ecological Sustainability of Nations

This document proposes a new indicator to assess countries’ sustainability. The indicator synthetises measures of economic and ecological efficiency. In other words, we assess the ability of countries to use resources to produce the maximum possible amounts of goods and services while keeping production activities’ impact on the environment as low as possible. The measure of ecological efficiency is the ecological reserve/deficit (ERD), which is based on the concept of ecological footprint. The new indicator is computed using the data envelopment analysis (DEA) model, a well-known non-parametric technique that delivers measures of productive efficiency by comparing outputs to inputs used in production. We modify the standard DEA model in two ways. Firstly, we allow for negative input and output data. Secondly, to increase DEA discriminating power of countries, we compute anti-efficiency measures. This allows us to obtain a ranking of countries based on the best and worst performances. Results show that the new efficiency indicator is valid and that high ERD positively influences the ranking of countries. Introducing anti-efficiency provides more plausible results and a more accurate ranking, for example high-polluting countries like China previously economically efficient are now ranked as low efficient when sustainability is taken into account.

     

Index system of sustainable rural development based on the concept of ecological livability

Ecological livability points out the direction for the realization of environmental sustainability and livable sustainability. According to the interaction between ecological livability and sustainable rural development (SRD), this study deconstructed the concept of SRD and selected the corresponding indicators to construct the SRD index system with universal value. We divided SRD into two dimensions: rural ecological sustainability and rural livable sustainability. The former was described by green production and waste disposal, while the latter was represented by public service and social amenity. To demonstrate the application of the SRD index system, we chose China as an example. Through empirical measurement, this study found that the SRD in China was unbalanced and inadequate, and had the characteristics of spatial differentiation. We also explored the direction that can be improved in each region of China. The SRD index system can measure the level of SRD comprehensively and quantitatively, providing a useful reference for each country to analyze the situation of SRD. It is of practical significance to guide the development of ecological livability and achieve SRD.     

Environmental sustainability assessment in supply chain: An emerging economy context

Environmental sustainability is not being practiced in the supply chains of many industries. Previous studies on environmental sustainability have not outlined clear strategies to achieve sustainability across supply chains, particularly in the context of emerging economies, and have been of limited relevance in settings beyond the geographical region of their focus. To address these gaps, we have proposed a best worst method (BWM) as a framework to assess the environmental criteria for sustainability in select industries in Bangladesh. Different industrial activities or criteria affecting the environment in various ways were assessed and weighted using the BWM. To ensure the efficiency and accuracy of this framework, we sought the opinions of 34 experts to specify the most suitable indicators from our initial literature review. Findings from this study revealed that “waste management” was the most important indicator for establishing environmental sustainability in industries in Bangladesh, which was substantiated by a sensitivity analysis. This research will assist industry managers and entrepreneurs to work toward environmental sustainability across supply chains.     

An environmental impact assessment of fossil fuel subsidies in emerging and developing economies

The impact of fossil fuel subsidies on environmental degradation has not been adequately examined in the existing literature. However, environmental degradation is often suggested as one of the causes of climate change. This paper examines the factors driving environmental degradation, emphasising the role of fossil fuels, in 35 emerging and developing countries. The ecological footprint is used as a proxy for environmental degradation. Using Generalized Method of Moments (GMM), the results show that an increase in fossil fuel subsidies leads to an increase in ecological footprint. Specifically, a 10% increase in fossil fuel subsidies will increase the ecological footprint by between 0.3% and 1.5%. The results further suggest that variables such as population size, real GDP per capita, urbanisation and the non-dependent population also boost environmental degradation. It is also shown that primary energy supply per capita, industry share, resource rent and globalisation have a positive effect on environmental degradation. However, the global oil price and human capital development do not have a significant impact on environmental degradation. The implications of these empirical findings are analysed in the paper.     

A study of assessment indicators for environmental sustainable development of science parks in Taiwan

This study adopted the ecological footprint calculation structure to calculate the ecological footprints of the three major science parks in Taiwan from 2008 to 2010. The result shows that the ecological footprints of the Hsinchu Science Park, the Central Taiwan Science Park, and the Southern Taiwan Science Park were about 3.964, 2.970, and 4.165 ha per capita. The ecological footprint (EF) of the Central Taiwan Science Park was the lowest, meaning that the influence of the daily operations in the Central Taiwan Science Park on the environment was rather low. Secondly, the population density was relatively high, and the EF was not the highest of the Hsinchu Science Park, meaning that, while consuming ecological resources, the environmental management done was effective. In addition, the population density in Southern Taiwan Science Park is 82.8 units, lower than that of Hsinchu Science Park, but its ecological footprint per capita is 0.201 units, higher than Hsinchu, implying its indicator management has space for improvement. According to the analysis result above, in the science parks, the percentages of high-energy-consuming industries were rather high. It was necessary to encourage development of green industries with low energy consumption and low pollution through industry transformation.     

基于新空气质量标准的全国大气环境承载力评价

随着中国环境问题特别是大气环境问题的凸显,环境承载能力研究成为国内各界关注的热点。采用大气污染物年均质量浓度与新的空气质量标准比较的方法即超标倍数法,对全国330个地级城市进行大气环境承载力评价。评价结果表明,有70%的城市大气环境超载,大气环境承载形势严峻。超载最严重地区为京津冀及周边区域,长三角地区、中部大部分地区。PM2.5为大多数重点城市超载的首要污染物。通过对比大气环境承载指数与污染物排放总量、污染排放强度、人口、第二产业、地形、气象等因素的相关关系发现,不同地区主要影响因素不同,应该采取分区域、季节等差别化手段控制污染物排放,提高环境承载能力。     

Ecological risk assessment of open coal mine area

The coal mine areas in China have the serious conflicts between resources exploitation and ecology safety, therefore the coal mine ecological risk assessment is an important problem which relates to the sustainability of coal mines to regions and the whole country. In this study, open coal mine area serves as researching object, heavy metals, soil erosion and coast are screened out as risk resources, soil wireworm as the receiver of heavy metals risk, biotope ecosystem as the receiver of soil erosion and coast risk; ecological indexes are calculated with species background index, biological diversity index and natural degree index, ecological friability indexes are calculated with soil fertility index, plant coverage, plant species diversity index, soil wireworm index and maturity index, and the typical coal mine area assessment indexes system is established. In addition, the regional ecological risk assessment is conducted on the friable ecological system of Fuxin Haizhou open coal mine area. Examples are researched of Haizhou open coal mine, the coal mine risk distribution is established, and foundations are provided for the administrative decision-making.     

Establishment and applied research on environmental sustainability assessment indicators in Taiwan

The study utilizes the method of Material Flow, Ecological Footprint Model and other related indicators to establish the Indicator System of Sustainable Development. Principal Component Analysis is used to abstract the representative factors in order to estimate the indicators of ecological sustainable development during 1998~2005 in Taiwan, as well as to make policy recommendations. The research indicates following results: (1) The Direct Material Input (DMI) of Taiwan shows constant instability and depends on heavy import activity. The annual increase of considerable greenhouse gas emission leads to a comparative growth of the Domestic Process Output (DOP). The both material consumption and inventory formation of the economy are unsteady. In addition, the Physical Trade Balance (PTB) indicates that supply exceeds demand, as well as the occasional shortage of building materials. (2) The 2005 per capita Ecological Demand footprint in Taiwan is 6.5392 hm(2), making the Ecological Deficit per capita 4.8569 hm(2). The figures reflect that productivity and life intensity of residents have exceeded the carrying capacity of Taiwan's ecological economic system. (3) The overall Synthetic Trend Indicators of Sustainable Development in Taiwan are decreasing. Therefore, if proper measures are not adopted in time, the current weak sustainability will lead into the vicious circle which departs from sustainable development.     

RETRACTED ARTICLE: Evaluation for sustainable land use in mountain areas of Northwestern Yunnan Province, China

As an important component of sustainable development in mountain areas, evaluation for sustainable land use is always one of the hotpots of researches on sustainable development. Traditional evaluation for sustainable land use mainly focuses on the sustainability of land use model and biological production on temporal scale, and overlooks the effects of land use patterns on the sustainability, while landscape ecology can be a good help to realize the spatial analysis of sustainable land use. In this study, a synthetic evaluation indexes system for sustainable land use was constructed through the application of landscape metrics. Taking Yongsheng County of Yunnan Province, China as a case study, a series of quantitative evaluation were conducted in 1996, 1999 and 2001, to monitor the temporal dynamics of regional land use sustainability. Two indicators, contributing amount of indexes, and obstacle amount of indexes, were also set up to ascertain the significance of all the evaluation indexes to the evaluation results. The results showed that, in the study phases, the land use sustainability of the whole county had been low with a stable but great spatial difference, and great changes took place in regional land use system in 1999 with the deviation from the aim of sustainable land use. It also showed that, the most important indexes contributing for the land use sustainability in the study period, were the indexes of population density and land use degree, followed by the index of landscape diversity and cropping index. And the most important indexes counteracting the land use sustainability were the indexes of per unit area total production value of industry and agriculture, per unit area yield of cereal crops, landscape fragmentation, followed by the indexes of per unit area yield of economic crops and fertilizer consume per unit area.     

Solid waste disposal site selection with GIS and AHP methodology: a case study in Senirkent�CUluborlu (Isparta) Basin, Turkey

The appropriate site selection for waste disposal is one of the major problems in waste management. Also, many environmental, economical, and political considerations must be adhered to. In this study, landfill site selection is performed using the Geographic Information System (GIS), the Analytical Hierarchy Process (AHP), and the remote sensing methods for the Senirkent?CUluborlu Basin. The basin is located in the E?irdir Lake catchment area, which is one of the most important fresh water in Turkey. So, waste management must be regulated in the basin. For this aim, ten different criteria (lithology, surface water, aquifer, groundwater depth, land use, lineaments, aspect, elevation, slope, and distance to roads) are examined in relation to landfill site selection. Each criterion was identified and weighted using AHP. Then, each criterion is mapped using the GIS technique, and a suitability map is prepared by overlay analyses. The results indicate that 96.3% of the area in the basin is unsuitable; 1.6%, moderately suitable; and 2.1%, most suitable. Finally, suitable regions in the basin are determined for solid waste landfill disposal and checked in the field. The selected and investigated regions are considered to be suitable for the landfill.     

Emergy-based evaluation of system sustainability and ecosystem value of a large-scale constructed wetland in North China

Constructed wetland has been widely adopted to deal with degraded natural wetlands and water bodies; thus, more attention should be focused on ecological–economic sustainability and ecological efficiency of these projects for long-term success. Emergy accounting was conducted to investigate the energy and resource flows in constructed wetlands during the restoration process. Emergy-based indexes were adopted to evaluate the sustainability of a pilot large-scale constructed wetland in a large wetland restoration project in North China, carried out to enhance the river water quality and offset the degradation of natural wetland. Emergy and emdollar values for ecosystem services and natural capital were also calculated. The results showed that when outflow was considered as the product, the studied large-scale constructed wetland was more self-supporting and could be operated with lesser financial investment, although the waste treatment efficiency and the sustainability index were lower than conventional small-scale treatment constructed wetlands. Compared with natural wetlands, more visits from tourists and lesser financial investment coming in as feedback into the wetland would reduce system environment loading and promote system self-support ability, ultimately generating sustainability. In addition, the studied large-scale constructed wetland can effectively simulate energy and resource flows of natural wetland ecosystem and contribute a roughly equal value of ecosystem services in term of gross primary production. The studied large-scale constructed wetland can successfully achieve ecosystem functions as replacement for natural wetland and hasten the restoration process, although the restoration effectiveness of ecosystem structures in terms of living biomass and water using emergy-value accounting is still inconclusive.     

On Developing Bioindicators for Human and Ecological Health

Risk assessors and risk managersgenerally either examine ecological health (usingbioindicators) or human health (using biomarkers ofexposure or effect). In this paper we suggest thatit is possible and advantageous to developbioindicators that can be used to assess exposureand effect for both human and non-human receptors. We describe the characteristics of suitablebioindicators for both human and ecological health,using mourning doves (Zenaida macroura),raccoons (Procyon lotor), and bluefish (Pomatomus saltatrix) as examples, and list thegeneral characteristics of other species that wouldmake them useful indicators for assessing both humanand ecological health. Bioindicators can beused cross-sectionally to assess the status ofecosystems and risk as well as longitudinally formonitoring changes or evaluating remediation. Forboth human and ecological risk assessment, there arethree sets of characteristics to consider whenselecting bioindicators: biological relevance,methodological relevance, and societal relevance. An indicator which fails to fulfill these is notlikely to be considered cost-effective and is likelyto be abandoned. The indicator should be readilymeasured and must measure an important range ofimpacts. For long-term support of a bioindicator,the indicator should be easily understood, and becost effective. We suggest that bioindicators thatcan also be used for both ecological and humanhealth risk assessment are optimal.     

Evolutionary consequences for ecological risk assessment and management

The human health risk assessment (HRA) paradigm is being used as a basis for developing ecological risk assessment (ERA). The modification of the HRA paradigm to ERA will be most useful in an ecotoxicological sense, to assess the effect of hazards to single indicator species and populations, rather than to ecosystems. However, even for single species and population assessments, there are major differences in HRA and ERA. One such difference derives from the HRA tenet that human impairment at any age is important, and that each individual is important. For ERA, individuals are less important, and it is the population and its survival and interactions that are of concern. One exception is in the case of endangered species where every individual is critical because of its potential impact on survival and genetic diversity of the species. We suggest that ERA must take into account the relative reproductive value of the potentially impacted individuals in assessing hazards. This will involve adding additional steps to evaluate the value of the individual to current population levels, assessing reproductive value, and assessing recovery potential. Although ecologists recognize the importance of these factors, we suggest that they should be integral parts of ecological risk assessment.     

Evaluating Quality of Life, Economic Vulnerabilities, and Drivers of Ecosystem Change

We examined regional conditions and trends related to quality of life and potential vulnerabilities of these factors to changes in the condition of natural resources in the Mid-Atlantic Region, USA. We selected a variety of variables on economic and socio-demographic conditions that demonstrate links between the condition of natural areas and human concerns and that quantify dependencies on resources. We extracted data from economic and population census databases for counties within the study area and present a subset of results of the cluster analyses used to describe condition and potential risks due to distinct combinations of variables. We found that the same variables used to judge quality of life were often correlated with increasing population and thus were likely to be related to land pressures and risks to natural resources. Within the region, economic dependence on resource-harvesting industries such as forestry and fisheries was low (less than 4% of total earnings at most), however, the potential for natural amenities to attract residents appeared to be growing as the self-employed and otherwise mobile people settled in areas with affordable housing and natural amenities. Suburban residential spread had been occurring in both the close-in and distant suburbs of the region's urban areas and some rural, growth appeared to be driven, in part, by businesses migrating to suburbs. Further work is needed to tease apart causal factors for the trends we observed, but correlations clearly existed in some areas between increasing populations and quality of natural surroundings.