国家公园旅游可持续性管理评估指标体系——以西藏色林错-普若岗日冰川国家公园潜在建设区为例

当前，国内外对于国家公园旅游可持续性的定义及其评估指标尚未形成共识，已有的部分指标存在可操作性较弱、管理成本较高等问题，无法直接应用于中国国家公园旅游可持续性的管理与评估。从三条路径构建国家公园旅游可持续性管理评估指标体系：以实际需求为导向，分析国家公园所在区域对旅游可持续性管理评估指标的需求；以国际共识为导向，检验《全球可持续旅游目的地标准》在国家公园的适用性；以实践为导向，梳理世界主要国家及地区国家公园旅游可持续性的管理重点。以色林错-普若岗日冰川国家公园（简称"色-普国家公园"）潜在建设区为例，建立国家公园旅游可持续性管理评估指标体系。从经济、社会、文化、生态环境等方面明确了色-普国家公园潜在建设区对管理评估指标体系的需求。经过适用性判定，识别在色-普国家公园潜在建设区具有较强适用性的可持续旅游目的地评估指标。通过频次统计，从经济、社会、文化、生态环境、制度建设等方面遴选世界主要国家及地区国家公园旅游可持续性的重点管理指标。所建立的色-普国家公园潜在建设区旅游可持续性管理评估指标体系包括5个一级指标，15个二级指标，36个三级指标。在此基础上，建议逐步建立健全监测与统计体系，为管理评估指标体系的应用提供支撑。     

The assessment of sustainable tourism: Application to Spanish coastal destinations

This paper introduces an indicator system to evaluate sustainability in established coastal tourism destinations, applying the recommendations and definitions of the World Tourism Organization (WTO). We also develop a new synthetic indicator to simplify the measurement of sustainability and facilitate the comparative analysis of destination ranking. This measurement was obtained by applying a procedure to reduce the number of subjective decisions made by the analyst, using a novel two-stage aggregation methodology based on principal component analysis and on the distance to a reference point. The synthetic indicator obtained was applied to Spanish coastal destinations, and the results serve as a guideline for tourism planning. The conclusions of this research can be extrapolated to the study of other tourism destinations.     

旅游地生态效率测度的SBM-DEA模型及实证分析

旅游地是典型的人地关系相互作用的特殊区域,旅游地的生态效率研究是其制定与实施包容性、持续性发展政策与措施的基础。采用基于时间序列、包含非期望产出的SBM-DEA模型方法,构建旅游地生态效率测度模型及评价指标体系,以黄山风景区为例,利用1981—2014年的投入产出数据,测度旅游地复合系统的生态效率,分析其演化特征和阶段,并利用Tobit回归模型对其影响因素进行实证检验。结果表明:(1)34年来,黄山风景区旅游生态效率(综合效率)不断提升,且具较大发展潜力,在分解效率中,技术效率较高,规模效率次之,规模效率是决定综合效率的关键因素;(2)旅游生态效率的演化经历了初期低效、快速成长、成熟高效、下行风险四个阶段,不同阶段效率的特征不同,影响因素也存在差异;(3)旅游生态效率完成了由规模报酬递增向递减的过渡,资源要素的投入冗余已成为现阶段阻碍生态效率的进一步提高的关键因素;(4)旅游发展水平、产业结构和技术水平对生态效率产生显著的正向影响,投资水平产生显著的负向影响,以废弃物末端治理为表征的环保规制对生态效率的提升作用并不显著。文章最后提出,在山岳型风景区发展初期,应尽可能扩大资源要素投入规模,进入成熟阶段后,则转向逐渐控制投入规模,改善技术能力和资源配置能力,摒弃过度依靠资源消耗和环境污染的粗放式发展模式,走精细化、可持续的发展道路。     

Meta-performance evaluation of sustainability indicators

There are many different kinds of frameworks for evaluating environmental and sustainability performance at the organizational level (profit or not-for-profit, private or public), sectoral level (e.g. industry, transport, agriculture and tourism), and local, regional or country levels. Despite the diversity of methods and tools to measure sustainable development, indicators are one of the approaches most used. However, these tools do not usually include evaluation of the performance measurement instrument itself. The main objective of this research is to develop a conceptual framework to design and assess the effectiveness of the sustainability indicators themselves. To put the proposed tool into practice, a set of key good-practice factors and meta-performance evaluation indicators is proposed for adoption in a national case study—the national sustainable development indicators system, SIDS Portugal, and the usefulness of this methodology is demonstrated. This approach aims to evaluate how appropriate a set of sustainability indicators is and allow an evaluation of overall performance-monitoring activities and results. Stakeholder involvement is an essential component of the proposed framework. The tool developed could support continuous improvement in the performance of ongoing sustainability indicator initiatives, allowing greater guidance, objectivity and transparency in sustainability assessment processes.     

国外旅游生态效率优化与管理

旅游生态效率概念采用定量化方法对旅游业经济、环境影响进行分析,成为旅游业可持续发展评价的重要工具。基于可持续理论的旅游生态效率优化管理方案不断涌现,相关利益主体应用较多的有环境管理系统、旅游生态标签、清洁生产理念、旅游生态效率中心、21世纪地方议程等。在旅游企业日常运营中积极推动生态效率优化管理,是贯彻绿色发展理念,提高目的地旅游经济、环境绩效的一种新思路。从可持续背景下旅游生态效率优化模型入手,系统化分析了国外旅游生态效率优化管理方案的内容与特征。其中,环境管理系统在目的地层面为旅游生态效率优化设计了一套评估管理流程,旅游生态标签为目的地生态效率水平提供了可视化标志符号,21世纪地方议程为旅游可持续发展提供一致性整合方案,清洁生产理念是一种基于生态效率优化的长期战略,旅游生态效率中心作为非营利性机构有利于中小企业获得较好的环境绩效表现。国外旅游生态效率优化管理方案特征明显、设计合理、管理科学,对我国目的地旅游生态效率优化提升具有重要的借鉴作用。     

Composite indicator for the assessment of sustainability: The case of Cuban nature-based tourism destinations

This paper presents a methodology for building a composite indicator to evaluate the sustainability of nature-based tourism destinations. It combines Principal Component Analysis (PCA), the distance to a reference point, and Data Envelopment Analysis (DEA) with the aim of addressing some of the objections related to the aggregation procedure. The synthetic index obtained is based on a representative series of sub-indicators of the concept of sustainable tourist development as outlined by the World Tourism Organization (WTO). We apply it to evaluate Cuban nature-based tourism destinations. The results identify the strengths and weaknesses of destinations according to sustainability, and serve as a guideline for tourism planning in the future.     

Integrated municipal waste management systems: An indicator to assess their environmental and economic sustainability

Tools based on Life Cycle Thinking (LCT) are routinely used to assess the environmental and economic performance of integrated municipal solid waste (MSW) management systems. Life Cycle Assessment (LCA) is used to quantify the environmental impacts, whereas Life Cycle Costing (LCC) allows financial and economic assessments. These tools require specific experience and knowledge, and a large amount of data.The aim of this project is the definition of an indicator for the assessment of the environmental and economic sustainability of integrated MSW management systems. The challenge is to define a simple but comprehensive indicator that may be calculated also by local administrators and managers of the waste system and not only by scientists or LCT experts.The proposed indicator is a composite one, constituted by three individual indicators: two of them assess the environmental sustainability of the system by quantifying the achieved material and energy recovery levels, while the third one quantifies the costs. The composite indicator allows to compare different integrated MSW management systems in an objective way, and to monitor the performance of a system over time.The calculation of the three individual indicators has been tested on the integrated MSW management systems of the Lombardia Region (Italy) as well as on four of its provinces (Milano, Bergamo, Pavia, and Mantova).     

A methodology to assess the overall environmental pressure attributed to tourism areas: A combined approach for typical all-sized hotels in Chalkidiki,Greece

The present study aims to promote a methodological scheme to combine the main environmental pressures that can be attributed to tourism activity in order to characterize environmental sustainability for a defined area of concentrated tourism (DACT). The methodological framework is demonstrated in the prevalent tourism destination of Northern Greece, Chalkidiki. The approach puts forward the tourism environmental composite indicator (TECI) which is analytically defined, mathematically formulated and finally implemented for the case under study. TECI provides the basis for a comparative analysis for typical all-sized hotel categories in terms of their combined environmental pressure. Apart from energy and water consumption and waste generation, the presented scheme establishes links with life cycle assessment (LCA) in order to include estimations of carbon footprint (CO₂-eq) for hotels’ accommodation and transport, embedded in the TECI concept. A questionnaire for hoteliers was designed for the above purposes, and was used as input, among other data, to the overall methodological approach. The hotel managers gave their feedback via a face-to-face interview. Different normalized key performance indicators, i.e., pressure per m², pressure per room, pressure per guest night are combined in one single composite indicator. The relative significance of each environmental pressure considered is realized by embedding weighting factors in the TECI mathematical formulation. To demonstrate the methodology TECI provides a comparative analysis for typical all-sized hotel categories in Chalkidiki and concludes with characterizing the level of the environmental sustainability as very poor. The results provide a rich insight into the trade-offs/synergies between the main environmental pressures that can be attributed to tourism activity. The work presented adds up to the low number of respective implementations found in the literature, especially by combining the theoretical background of environmental indicators with LCA. Last but not least, the identification of environmental degradation “hot spots” is realized in order to provide insights for sustainable tourism practices to stakeholders of the tourism industry and highlight insights for strategic governance and policy modeling for the area under consideration.     

Indicators of sustainable tourism: A case study from a Taiwan's wetland

This study aims to identify indicators for sustainable wetland tourism. In study 1, the fuzzy Delphi method was used to determine key dimensions and indicators. In study 2, the relative weights of these dimensions and indicators were examined using the analytic hierarchy process. The empirical results revealed 141 indicators in the hierarchy for sustainable wetland tourism. At the first level, the weight of the stakeholder dimension was greater than that of the environment dimension. At the second level, the impact on community development was the most important factor within the stakeholder dimension. Among the identified indicators, the top 7.8% were respect for local traditional culture, respect for local lifestyle, compliance with destination guidelines, traffic problems, destruction of the natural environment, existence of crowds at the destination, participation in cultural activities, understanding the culture, assimilation into the local culture, overall effect of tourism, benefit–cost differential, and reduction of environmental impact. A series of management implications are drawn, including the need to use this information to foster stakeholder involvement and collaboration, to focus on planning for sustainable tourism development in general, and to use these indicators for the management of wetland-based sustainable tourism development.     

Tourism sustainability in Tibet – Forward planning using a systems approach

The purpose of this study is to employ a nonlinear dynamic evaluation method to assess the tourism sustainability of Tibet Autonomous Region (TAR), China, a new emerging tourism destination. The methodology draws on system dynamics and Back Propagation (BP) neural network. According to 7 setting principles, this study identifies 13 tourism sustainability indicators including conventional tourism income, tourism resources stock, pollution stock, etc., as well as specific residents’ tourism cognition, seasonal difference, accessibility, etc. Then a system dynamics model including the 13 indicators (variables) and other relevant auxiliary variables is established. Based on the numerical simulation, using a three layers BP neural network optimized by genetic algorithm and particle swarm algorithm, this study evaluates the future sustainability dynamically and compares the sustainability evolution from 2014 to 2050 under different development strategies. The research results not only provide information useful for the dynamic control and scientific management of the future sustainable tourism development, but also provide a systems approach to evaluate regional tourism sustainability.     

Sustainability Indicators at the Firm Level

After reviewing recent attempts to develop sustainability indicators, this article shows how the principles of productive efficiency can be used to elaborate such indicators at the firm level. The theory of productive efficiency is somewhat expanded to incorporate fundamental issues of sustainable development: environment, equity, and futurtty. Efficiency, in the expanded notion of productive efficiency, is viewed as a necessary condition for sustainability. Working with aggregate performance indicators, it is important not to lose track of the relevant basic information. Therefore, instead of elaborating one unique indicator; we propose to implement several kinds of indicators, each of which stresses one particular focus (e.g., environmental vs. social concems). The definition of sustainable development indicators is illustrated with reference to a small data set of U.S. fossil fuel-fired electric utilities. In a sustainabiltty perspective, two important aspects are stressed, namely, the use of nonmewable resources and the inclusion of employment as a variable to maximize rather than an input to minimize. The article ends with a discussion of the significance of, and limits to, the proposed indicators.     

Weights and importance in composite indicators: Closing the gap

Composite indicators are very popular tools for assessing and ranking countries and institutions in terms of environmental performance, sustainability, and other complex concepts that are not directly measurable. Because of the stakes that come with the media attention of these tools, a word of caution is warranted. One common misconception relates to the effect of the weights assigned to indicators during the aggregation process. This work presents a novel series of tools that allow developers and users of composite indicators to explore effects of these weights. First, the importance of each indicator to the composite is measured by the nonlinear Pearson correlation ratio, estimated by Bayesian Gaussian processes. Second, the effect of each indicator is isolated from that of other indicators using regression analysis, and examined in detail. Finally, an optimisation procedure is proposed which allows weights to be fitted to agree with pre-specified values of importance. These three tools together give developers considerable insight into the effects of weights and suggest possibilities for refining and simplifying the aggregation. The added value of these tools are shown on three case studies: the Resource Governance Index, the Good Country Index, and the Water Retention Index.     

From sustainability to well-being: Lessons learned from the use of sustainable development indicators at national and EU level

Indicators describing sustainability and, more recently, well-being have raised considerable interest throughout the world. Much conceptual and empirical research exists focusing on the criteria for sustainability and development of indicators, while relatively few studies examine the actual use and influence of indicators. Employing document analysis and interviews of key actors, we explore the use of sustainable development indicators at national and EU level and draw forth lessons relevant for topical discussion of the measurement of human well-being. We apply a conceptual model of three main types of indicator use: instrumental, conceptual, and political. The results indicate that the use of sustainability indicators is mainly confined to the ‘indicator circuit’ formed by indicator-developers themselves and actors obliged to use the indicators. The results suggest that direct instrumental use of indicators shows limited potential, whereas conceptual use is the key for enhanced indicator influence in the long term. Political use of indicators cannot be controlled by the indicator-developers.     

An approach to LCSA: the case of concrete recycling

Purpose

The framework of life cycle sustainability analysis (LCSA) has been developed within the CALCAS project but the procedure on how an LCSA should be carried out is still far from standardized. The purpose of this article is to propose an approach to put the LCSA framework into practice. This approach is illustrated with an on-going case study on concrete recycling.

Methods

In the context of an EC-FP7 project on technology innovation for concrete recycling, five operational steps to implement the LCSA framework are proposed: (1) broad system definition, (2) making scenarios, (3) defining sub-questions for individual tools, (4) application of the tools and (5) interpreting the results in an LCSA framework. Focus has been put on the goal and scope definition (steps 1–3) to illustrate how to define a doable and meaningful LCSA. Steps 4–5 are not complete in the case study and are elaborated theoretically in this paper.

Results and discussion

The experience from the case study shows that the operational steps are especially useful at the stage of defining the goal and scope. Breaking down the sustainability questions into different scales and different aspects gives the possibility to define the sub-questions suitable to be assessed by the individual analytical tools (e.g., LCA, LCC, SLCA, MFA, etc.). The C2CA-LCSA shows a practical approach to model the life cycle impacts of the broad system is to start by modelling the technological system at the micro level and then scale it up with the realistic scenario settings that are generated with the knowledge gained from the MFA studies at the meso-level and from the policy/economic studies at the macro level. The combined application of LCA, LCC and SLCA at the project level shows not all the cost items and only one social impact indicator can be modelled in the process-based LCA structure. Thus it is important to address the left out information at the interpretation step.

Conclusions

Defining sub-questions on three different levels seems most useful to frame an LCSA study at the early stage of goal and scope definition. Although this study provides some useful steps for the operationlisation of the LCSA concept, it is clear that additional case studies are needed to move LCSA into a practical framework for the analysis of complex sustainability problems.     

自然旅游地居民自然保护态度的影响因素——中国九寨沟和英国新森林国家公园的比较

居民的自然保护态度对自然旅游地的自然保护与旅游可持续发展至关重要,自然旅游地居民自然保护态度的影响因子及影响方式,已经成为自然旅游地管理的重要内容,但相关研究薄弱。以中国九寨沟和英国新森林国家公园(New Forest National Park,NF)为例,根据实地问卷调查数据,从两地居民的人口属性、旅游环保期望、旅游环境影响感知及旅游环境伦理观与其自然保护态度关系的角度,进行定量比较研究。研究发现:(1)两地居民的自然保护态度受不同因子的影响,存在明显的中外差异;(2)人口属性特征如性别、年龄、居住年限、教育水平及旅游业参与情况对新森林国家公园社区居民的自然保护态度没有影响;但性别、旅游业参与情况却影响九寨沟居民的自然保护态度,女性及旅游业参与者更支持对九寨沟进行自然保护;(3)新森林国家公园居民的自然保护态度受其旅游环保期望及旅游环境伦理观的影响:旅游环保期望较高、持保护主义环境伦理观的新森林国家公园居民,更有可能支持对新森林国家公园进行自然保护;(4)九寨沟居民的自然保护态度不受其旅游环保期望及旅游环境伦理的影响,但受其旅游环境影响感知的影响;居民的旅游环境影响感知越消极,越支持对九寨沟进行自然保护。     

Sustainability indicator development—Science or political negotiation?

The efforts to develop sustainability indicators have strongly increased since the beginning of the 1990s, often led by intergovernmental processes. More recently, a number of sustainability indicator development processes have been initiated within large research projects that aim to design tools for sustainability assessments, funded by the European Union. The development of sustainability indicators provides a particular challenge to scientists, given the essentially normative dimension of the concept of “sustainability”. Thus, we argue, the development of sustainability indicators is a process of both scientific “knowledge production” and of political “norm creation”, and both components need to be properly acknowledged. Based on a respective theoretical framework and comparing five cases of sustainability indicator development processes (three science-led and two led by intergovernmental processes), we find that the political norm creation dimension is not fully and explicitly recognized in science-led processes. The paper concludes by discussing a number of implications for the design of sustainability indicator development processes, in particular with regard to participation and representation as well as adjustment of indicators over time.     

A selection of safeguard subjects and state indicators for sustainability assessments

Purpose

The purpose of this work is to identify and select safeguard subjects and state indicators that are suitable for sustainability assessment in product and production development, using an interpretation of the Brundtland definition of sustainable development. The purpose is also to investigate how indicators selected in this way differ from other selections in the literature.

Methods

We use a top-down approach, which starts with reviewing the Brundtland definition of sustainability and identifying the corresponding human basic needs to be satisfied. For each basic need, we identify relevant satisfiers, and for each satisfier, a number of safeguard subjects. The safeguard subjects represent critical resources for making satisfiers available. For each safeguard subject, a number of state indicators (=endpoint category indicators) are selected that are relevant for describing impacts from product life cycles on the safeguard subject.

Results and discussion

Ecosystem services, access to water, and abiotic resources are identified as environmental safeguard subjects. Technology for transports, environment, textiles, housing, food, information, and energy, together with income, are identified as economical safeguard subjects. Human health, land availability, peace, social security, continuity, knowledge, jobs/occupation, and culture are identified as social safeguard subjects. In comparison with the other selections of safeguard subjects in literature, our safeguard subjects are structured differently and delimited in scope, but there are also many similarities. The best agreement is on environmental issues, but we classify human health as a social issue. For social issues, we identify fewer safeguard subjects and state indicators than recommendations from UNEP/SETAC. For economic issues, we diverse from current LCC and approach UNECE measures of sustainability.

Conclusions

Identification and selection of safeguard subjects and state indicators benefit from a clear definition of sustainability, needs to be satisfied, and satisfiers. The interpretation of the sustainability concept has a large influence on which safeguard subjects that are included and which indicators that are needed to describe their state. Capacity building is an important sustainability indicator, which should be developed further for use in life cycle sustainability assessment. The top-down approach offers a good arena for a further research and discussions on how to structure and focus LCSA. Our results shall be seen as one example of which safeguard subject that may be identified with the top-down approach presented here.

     

An empirical review of cultural ecosystem service indicators

Over millennia human well-being has benefited from ecosystems, not only through tangible goods, but also through intangible assets known as cultural ecosystem services. Despite growing research over the last decade, cultural services assessment still remains arbitrary and is largely limited to marketable services such as tourism. Evident difficulties in standardizing definitions and measurements have challenged cultural services accounting in decision making processes. However, the imminent formation of the Intergovernmental Platform on Biodiversity and Ecosystem Services offers an opportunity to counterbalance this misrepresentation by establishing a scientific basis for consistently assessing cultural services. In that regard, the current review intends to facilitate discussion investigating the current state of cultural services accounting by offering an appraisal of existing evidence regarding cultural services indicator quality. The review builds on scientifically recognized frameworks to develop a holistic understanding of how cultural services indicators are conceived within ecosystem services research. Among the measures found, benefit indicators were most frequently used for assessing inspirational, educational and recreational services. A broad variety of methods for accounting cultural services was found, mainly due to the varied aims of the studies. Most of the cultural services indicators were deficient concerning their clarity of definitions, purposes and understanding of the processes to be measured and referring only marginally to tradeoffs and bundles with other services. Only 17% performed multitemporal assessments and 23% used spatially explicit information. It seems that indicator quality could be greatly enhanced by investing more effort toward involving relevant stakeholders in conceptualization and communication phases, using participatory mapping tools to enhance visibility.     

Mapping indicator models: From intuitive problem structuring to quantified decision-making in sustainable forest management

Most commonly, sustainability indicator sets presented as lists do not take into account interactions among indicators in a systematic manner. Vice versa, existing environmental indicator systems do not provide a formalized approach for problem structuring and quantitative decision support. In this paper, techniques for considering indicator relationships are highlighted and a coupled approach between a qualitative and a quantitative method is analysed. Cognitive mapping (CM) is used for structuring indicators and three different causal maps are derived based on established sustainability concepts: (a) criteria and indicators (C&I hierarchy), (b) indicator network, and (c) Driving Force-Pressure-State-Impact-Response (DPSIR) system. These maps are transferred to the Analytic Network Process (ANP) to allow their application in multi-criteria decision analysis (MCDA).In an application example, Pan-European indicators for sustainable forest management (SFM) are utilized in an ANP-based assessment. The effects of the model structure on the overall evaluation result are demonstrated by means of three reporting periods on Austrian forestry.In a comparative analysis of CM and ANP it is tested whether their measures of indicator significance do correspond. Both centrality in CM and single limited priorities in ANP have been reported to identify key indicators that play an important role in networks. We found out that the correspondence between CM and ANP is the stronger the more rigidly cause-effect relationships are interpreted, which is the case for the DPSIR system of SFM indicators.It is demonstrated that using indicator sets without consideration of the indicator interactions will cause shortcomings for evaluation and assessment procedures in SFM. Given strict and consistent definition of causal indicator relationships, a coupled use of CM and ANP is recommendable for both enhancing the process of problem structuring as well as supporting preference-based evaluation of decision alternatives.     

The quantitative research of composite immune indicator for crustacean

Through analyzing the immunity indicators in recent crustacean research, two defects are pointed in comprehensive immunity evaluation, 1) the integrant indicators cannot comprehensively reflect the change of immunity, and 2) the conclusions that obtained from different indicators of immunity level cannot be compared objectively and scientifically. Basing on that, the paper firstly indicated that the immunity system could be regarded as a composite indicator. Secondly, the paper gave the specific definition of the composite immunity indicator (CII), and discussed the methods of calculation, especially provided two calculation methods of the weights, that is, the Analytic Hierarchy Process (AHP) and the Principal Component Analysis (PCA). Finally, examples were given to clarify the specific steps to compute the composite immunity indicator. The computing results gave the quantitative evaluation, which were in concordance with the existing conclusions.