基于用户体验的农村旅游厕所管理研究——以广东省为例

农村旅游厕所是我国厕所革命的短板,存在重建设轻管理等问题,下一阶段厕所工作重点在于如何"管好"、"用好"上。基于用户体验逻辑的实证研究有助于为农村旅游厕所提升公共服务质量和运营管理水平提供参考借鉴。本文运用权重综合评价方法,构建了用户体验评价指标体系,选取广东省农村旅游厕所206座进行实地评测,结合大众用户对农村旅游厕所的体验偏好调查,利用IPA方法分析农村旅游厕所用户体验评价指标的重要程度和实际表现感知,提出丰富用户体验、加强卫生保洁、创新经营模式等政策建议。     

Introducing errors in progress ratios determined from experience curves

Progress ratios (PRs) derived from historical data in experience curves are used for forecasting development of many technologies as a means to model endogenous technical change in for instance climate–economy models. These forecasts are highly sensitive to uncertainties in the progress ratio. As a progress ratio is determined from fitting data, a coefficient of determination R² is frequently used to show the quality of the fit and accuracy of PR. Although this is instructive, we recommend using the error σ_PR in PR, which can be directly determined from fitting the data. In this paper we illustrate this approach for three renewable energy technologies, i.e., wind energy, bio-ethanol, and photovoltaics.     

Push or pull? Identifying rock climbing tourists' motivations

The aims of this research are to clarify the motivations of rock climbing tourists by using a push and pull framework and to investigate the relationship between tourist motivation and overall satisfaction. In a survey of 473 rock climbing tourists in the Geyikbayırı region in Antalya, Turkey, the most important push motivations were identified as ‘physical setting’ and ‘challenge’, while ‘climbing novelty seeking’ and ‘climbing tourism infrastructure’ were the most important pull motivations. Furthermore, the findings of this study indicated that overall satisfaction of rock climbers can be determined by their push and pull motivations. The results also showed that motivations of rock climbers differ according to their experience levels. The paper ends with theoretical contributions of the study and its managerial implications.     

Dynamic technological learning trends in Turkish manufacturing industries

Efficient development of industries requires a broad range of technological capabilities which can be acquired only by a long process of learning. Continuous measuring and monitoring of the ever-changing technological learning would be useful for building technological capability and managing technological policies. Nevertheless, research on how to measure the technological learning over time at macro levels remains largely untouched. In this paper, by adding the experience curve into the multifactor productivity part of Neoclassical production function, we will develop a model which will allow one to estimate the technological learning levels over long periods. This model would allow a user to both estimate the past learning experiences and forecast its future path on a time varying basis. The model has been used and tested in the estimation of the annual technological learning values for 28 Turkish manufacturing industries from 1981 to 2000.     

A review of experience curve analyses for energy demand technologies

Transitioning towards a sustainable energy system requires the large-scale introduction of novel energy demand and supply technologies. Such novel technologies are often expensive at the point of their market introduction but eventually become cheaper due to technological learning. In order to quantify potentials for price and cost decline, the experience curve approach has been extensively applied to renewable and non-renewable energy supply technologies. However, its application to energy demand technologies is far less frequent. Here, we provide the first comprehensive review of experience curve analyses for energy demand technologies. We find a widespread trend towards declining prices and costs at an average learning rate of 18 ± 9%. This finding is consistent with the results for energy supply technologies and for manufacturing in general. Learning rates for individual energy demand technologies are symmetrically distributed around the arithmetic mean of the data sample. Absolute variation of learning rates within individual technology clusters of 7 ± 4%-points and between technology clusters of 7 ± 5%-points both contribute to the overall variability of learning rates. Our results show that technological learning is as important for energy demand technologies as it is for energy supply technologies. Applying the experience curve approach to forecast technology costs involves, however, unresolved uncertainties, as we demonstrate in a case study for the micro-cogeneration technology.     

外债管理的国际经验与启示

本文研究了发达经济体（美、欧、澳、韩）和发展中经济体（俄、印）的外债发展历史和外债管理实践,并基于外债管理的国际经验提供可行性建议,旨在为加快推进我国的外债管理体制改革提供有益借鉴。     

转变城市发展方式之低碳城市建设——基于德国经验借鉴

首先从产业能源体系、低碳交通网络及生态环境三方面梳理德国低碳城市建设实践,然后总结德国在低碳意识培养、战略目标制定、政策体系建设等方面值得借鉴的经验,最后从“公平-效率-质量”视角为我国低碳城市建设提出建设路径:加快创新驱动,提高建设效率;提供制度支持,注重建设公平;强调以人为本,提升建设质量。