强势美元政策：有效性检讨与可持续性分析

强势美元政策保证了外资对美国的强劲流入,支撑了美国的低通货膨胀,弥补了美国的储蓄———投资缺口和对外贸易逆差,巩固了美元的全球霸权地位,总之,强势美元政策促进了美国的经济增长。由于美国存在对强势美元政策的依赖性及美元的全球霸权地位没有受到实质性的挑战,在可预见的将来,强势美元政策仍会持续也仍可持续,美国仍将实行强势美元政策。     

Measuring the immeasurable — A survey of sustainability indices

Sustainability indices for countries provide a one-dimensional metric to valuate country-specific information on the three dimensions of sustainable development: economic, environmental, and social conditions. At the policy level, they suggest an unambiguous yardstick against which a country's development can be measured and even a cross-country comparison can be performed. This article reviews the explanatory power of various sustainability indices applied in policy practice. We show that these indices fail to fulfill fundamental scientific requirements making them rather useless if not misleading with respect to policy advice.     

Sustainability in the prospective scenarios methods: A case study of scenarios for biodiesel industry in Brazil,for 2030

In order to build prospective scenarios for biodiesel industry in Brazil, with a sustainable perspective, it was necessary to develop a cross-disciplinary work to include Sachs’ dimensions of sustainability into the scenarios method. This meant linking concepts from different disciplines, without transforming it in a new discipline. In order to support the proposition for the new method, a study case is presented, the framework for the biodiesel scenarios in Brazil, by 2030. An in-depth interview was used to test the proposition of having the sustainability dimensions as driving forces. The result was the identification of a critical uncertainty composed of various aspects related the response to climate change and environmental conservation. The scenario storylines that were developed based on the critical uncertainties showed that sustainable options for the future are possible if the mental maps are enlarged to see beyond the business as usual.The results show that the scenarios storylines go through social, environmental and economic aspects, supported by other aspects like the territorial and political. Also it showed that sustainable options are possible if the mental maps are enlarged to see beyond the business as usual.     

Maximising sustainability of Dutch dairy farming systems for different stakeholders: A modelling approach

A multi-attribute sustainability function is included into a dairy farm LP-model by using Weighted Goal Programming. The created Weighted Linear Goal Programming (WLGP)-model is used to maximise sustainability of different Dutch dairy farming systems and to analyse the impact of: (1) maximisation of individual sustainability aspects (economic, social and ecological sustainability) and (2) maximisation of overall sustainability using stakeholder preferences. Maximising the individual aspects of both dairy farming systems, i.e. conventional and organic, shows the trade-offs between different aspects of sustainability. For conventional as well as organic dairy farming maximum scores are highest for external social sustainability. The conventional dairy farm achieves a slightly higher score for overall sustainability than the organic dairy farm for all stakeholders (i.e. consumers and producers). This shows that it is possible for conventional dairy farms, similar to the conventional farm used in the analysis especially regarding the stocking density and under Dutch policy conditions, to achieve equal sustainability scores in comparison with organic dairy farms. It is concluded that the WLGP model is a suitable tool to analyse the sustainability of different dairy farming systems.     

A systematic approach to assess the effectiveness of airport noise mitigation strategies

Regional airports are often located very close to the urban area they serve and the increasing traffic rate that many of them have experienced in the last years has produced several impacts on the communities living close to the airport area, mainly aviation noise. If not properly managed, noise impacts produced by airport operations can cut down significantly the development of airport air traffic with direct effects on the economic and territorial systems. Aeronautical noise has greatly reduced in the last decade, due to aircraft design technological improvements and more severe regulations. However, the noise reduction during a single event does not make the issue of the airport location – and then the whole noise impact – less significant. This paper proposes an assessment process to evaluate the effects of actions adopted to reduce airport noise impacts on populated areas. Both airport-related factors – such as number of take-off; day-evening-night distributions of movements; aircraft type; flying paths – and land-use characteristics have been considered and combined in a density index that synthesizes the impacts of airport noise on the territory. The assessment process has been tested on a real case, the airport of Bologna in Northern Italy. The predicted results, compared with available real data for the test case, are significant and encourage the use of the proposed assessment process as decision support system for the airport management.     

Sustainable efficiency drivers in Eurasian airports: Fuzzy NDEA approach based on Shannon's entropy

This research explores the physical infrastructure and flight consolidation efficiency drivers of Eurasian airports regarding their infrastructure and movement productivity levels. A novel Fuzzy Double-Frontier Network DEA (FDFNDEA) model is proposed to investigate the relationship between desirable (freight and passenger turnovers) and undesirable (pollutant emission levels due to aircraft movements) outputs against the respective infrastructure usage, fuel consumed, and movements performed at each of the 23 Eurasian airports from 2000 to 2018. This balance between desirable and undesirable outputs emerges spatially and temporally due to the evolution of the airport system's productive resources at each one of the Eurasian countries over the period observed. Shannon's entropy is used as the cornerstone to quantify the input and output vagueness of this evolution in Triangular Fuzzy Numbers (TFN), thus allowing the accurate building of alternative optimistic and pessimistic double-frontier efficiency. Differently from previous research, Shannon's entropy is the key for measuring input and output vagueness levels in light of the maximal entropy principle. This principle states that the distribution that best represents the current state of knowledge is the one with largest entropy. Maximal entropy yields bias-free decision-making in the sense that the input/output distributional profiles for Eurasian airports contain the maximal possible heterogeneity, working as a robust or best/worst-case scenario against eventual unconsidered assumptions. Hence, optimistic and pessimistic Malmquist Productivity Indexes (MPI) for overall and each stage productivity results are subsequently regressed against contextual variables related to airport characteristics and regional socio-demographic and economic indicators of each Eurasian country using bootstrapped Cauchy regressions. The findings revealed the spatial heterogeneity of productivity factors and airport performance across Eurasia. Results also demonstrated the negative impact of income inequality and the positive impact of private participation on technological progression in the Eurasian airport industry.     

Stochastic optimization of sustainable hybrid generation bioethanol supply chains

This paper focuses on designing a hybrid generation bioethanol supply chain (HGBSC) that will account for economic, environmental and social aspects of sustainability under various uncertainties. A stochastic mixed integer linear programming model is proposed to design an optimal HGBSC. A case study set in the state of North Dakota in the United States is used as an application of the proposed model. The results suggest that the designs of optimal HGBSC change when different sustainability standards are applied. In addition, sensitivity analysis is conducted to provide deeper understanding of the proposed model.     

利益相关者关系影响公司财务绩效持续性的实证研究

基于123家沪深 A 股上市公司的样本数据,运用时间序列自回归模型;考量卓越与不良绩效企业股东、管理人员、员工、消费者、债权人和政府与财务绩效持续性的关系。结果表明,良好的利益相关者关系与卓越财务绩效的持续性正相关,与不良财务绩效的持续性负相关。不同的利益相关者对财务绩效持续性的影响存在差异,消费者和员工是保证卓越财务绩效持续性的最重要因素,也是陷入财务困境的企业实现业绩转向的关键推动力量。当企业经历财务困境时,股东的积极作用表现突出。     

中国的外债管理问题

外债是弥补发展中国家资金不足的手段,更是促进贸易投资便利化的工具。两者共同构成了中国外债管理的"基石"。改革开放30年来,中国外债管理逐渐形成了服务实体经济的目标、循序渐进的改革思路和联合监管的模式。现阶段,中国的主要外债指标在合理区间内,既有实体经济的基础,又有充裕外汇资源的支撑。未来,深化外债管理体制改革应着力于提高外债统计的完整性和准确性,提高统筹"防风险"和"便利化"的监管能力。