绍兴市土地利用时空变化研究

[目的]探讨经济发达地区土地利用变化时空规律,为城市发展提供合理土地利用政策,同时优化土地利用结构以支持经济可持续发展。[方法]通过遥感影像获取长时间序列的土地利用数据,探讨近30多年来绍兴市的土地利用变化,进一步利用土地利用动态变化模型,对绍兴市土地利用变化过程、趋势、变化轨迹进行了深入分析。[结果](1)绍兴市土地利用在1980~2000年相对稳定,在2000年后变化强度逐年增强,2005~2015年土地利用转化量增多和类型多样。绍兴市东北部平原和县区核心区域是经济发达地区土地利用变化的活跃区域,主要是其他类型土地向建设用地转移;(2)1980~2015年绍兴市土地利用变化轨迹主要受到人口增长和GDP增长的影响。[结论]城市化的发展和人口的迅速增长,使城市人口和土地面积迅速增加,造成城市边缘的农业用地转化成了建设用地。经济的发展、科技的进步及政府政策的制定,改变了人们的生活和工作方式,进而影响土地利用类型。     

松嫩平原北部黑土区水土资源平衡效应研究

研究目的:分析松嫩平原北部黑土区在土地利用和农业气候资源变化条件下的水土资源平衡效应。研究方法:在傅抱璞假设理论的基础上,通过拟合参数ω回归方程求得实际蒸散量,以此来构建水分盈亏模型,分析水土资源平衡效应。研究结果:(1)1985—2015年,松嫩平原北部土地利用表现为湿地面积大幅度减少,水田和旱地面积不断增加;潜在蒸散量和气温具有较为明显的变化趋势,气温以0.27℃/10 a上升,潜在蒸散量以5.15 mm/a下降;(2)经过拟合参数ω方程求得实际蒸散量可以有效反映土地利用状况、地貌特征和土壤属性;(3)1985—2015年间总体的水分亏缺率均值是0.25、0.2、0.31和0.13,而土地利用的影响使严重缺水面积逐年增加,其增加量是总面积的1.59%,约是原有面积的2倍。研究结论:基于傅抱璞理论改进的参数ω能够提高地区实际蒸散量的估算精度,对区域水土平衡评价具有重要意义,为实现区域资源合理利用提供指导。     

Antecedents of Green Loyalty in the Cruise Industry: Sustainable Development and Environmental Management

As there is a lack of understanding about cruise travelers' eco‐friendly behaviors and knowledge about eco‐friendly cruises, this study attempted to examine the role of green value, satisfaction, desire, and internal and external normative factors in building passengers' green loyalty for environmentally responsible cruises. A survey methodology and structural equation modeling were utilized to achieve the research purpose. Data quality assessment revealed that all measures for variables included an adequate level of reliability and validity. Results of the structural analysis indicated that our theoretical framework had a sufficient level of anticipation power for loyalty. The proposed associations among study variables were generally supported. The significant indirect influence of green values and social norms on loyalty was identified. Moreover, the magnitude of the total influence of social norms on loyalty was the greatest among the study constructs. Overall, our findings offer valuable and meaningful insights for cruise researchers and practitioners. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

A Statistical Model to Investigate the Reproducibility Rate Based on Replication Experiments

The reproducibility crisis, that is, the fact that many scientific results are difficult to replicate, pointing to their unreliability or falsehood, is a hot topic in the recent scientific literature, and statistical methodologies, testing procedures and p‐values, in particular, are at the centre of the debate. Assessment of the extent of the problem–the reproducibility rate or the false discovery rate–and the role of contributing factors are still an open problem. Replication experiments, that is, systematic replications of existing results, may offer relevant information on these issues. We propose a statistical model to deal with such information, in particular to estimate the reproducibility rate and the effect of some study characteristics on its reliability. We analyse data from a recent replication experiment in psychology finding a reproducibility rate broadly coherent with other assessments from the same experiment. Our results also confirm the expected role of some contributing factor (unexpectedness of the result and room for bias) while they suggest that the similarity between original study and the replica is not so relevant, thus mitigating some criticism directed to replication experiments.     

Measuring industrial upgrading: applying factor analysis in a global value chain framework

ABSTRACT

A key question for promoting international competition is how to improve the position of countries and industries in global value chains (GVCs). The first step is to properly measure industrial upgrading in GVCs. This is not a trivial issue because upgrading has not been defined unambiguously. Several authors have used different (and sometimes related) measures, all of which indicate certain aspects of upgrading. Rather than trying to find the single, ultimate measure of upgrading, we propose a different approach. We examine the multidimensionality of industrial upgrading, using eight indicators in factor analysis. Four of the eight indicators adopt the GVC perspective and include, for example, the growth of the share in value-added exports. We provide three quantitative dimensions of industrial upgrading: process upgrading, product upgrading, and skill upgrading. With these dimensions, we compare and analyze the upgrading of different countries and industries using the World Input–Output Database.     

Sustainable dressing: Consumers' value perceptions towards slow fashion

Slow fashion that improves with an increasing awareness of sustainability has changed consumers' value perception and purchasing behaviours. The aim of this study is to determine slow fashion dimensions that influence consumers' value perceptions for slow fashion products and to reveal the effects of the perceived value on consumers' intentions to purchase and willingness to pay higher prices. The sample includes 725 students pursuing higher education in Turkey and Kazakhstan. Exploratory and confirmatory factor analyses were used to specify the factor structure of the variables used in the research, and structural equation modelling was used to test the hypotheses. Data analysis showed that authenticity, locality, and exclusivity aspects in Turkey and equity, functionality, locality, and exclusivity aspects in Kazakhstan contributed to perceived customer value. Perceived customer value in both groups positively affects the intention to purchase and the willingness to pay higher prices. In addition, consumers who intend to purchase slow fashion clothing are willing to pay higher prices than other products. The results suggest that consumers in different countries have different orientations that influence their perceptions of value. From this perspective, this study can provide designers with insights on the importance of making sustainable designs that are appropriate to the target market beyond the trends imposed by the global fashion industry.     

基于价值流图析的生产线连续流创建

针对M企业A生产线在制品积压、交付周期长等问题，通过现状价值流图分析其原因，提出在考虑改善效益大于投入成本的条件下，选择合适的自动化水平，以克服物料供应不及时、工艺特性等制约因素。从工艺流程、布局、工装等方面进行改善并绘制未来价值流图，创建生产线连续流。生产线连续流创建后，生产周期缩短了13天、搬运距离减少41m、车间面积节省约168m2、作业人数减少6人，为企业降本增效打下了坚实基础。     

Street-level new public governances in integrated services-as-a-system

The paper explores the emergence of street-level public service integration in eight cities, in five countries using a new framework: services-as-a-system to explore new public governances in health and social care integration. Data is analysed from eight cities in six countries (Australia, Canada, The Netherlands, Spain, UK, and USA) gathered in over 100 semi-structured interviews with key agents. We show that whilst culture and context shape the form and processes of governances there are underlying processual drivers of new public governances, in particular where users are involved in the co-design and co-production of integrated services.     

农村集体经营性建设用地流转模式再审视：基于产权让渡与市场化的视角

研究目的:厘清集体经营性建设用地流转模式,推进集体建设用地入市改革。研究方法:以产权让渡及市场化为视角,采用矩阵分类法划分集体经营性建设用地流转模式,剖析不同流转模式特征与演进路径。研究结果:基于本研究视角可将集体经营性建设用地流转划分为6种模式,不同模式具有不同特征、运行条件、优缺点及收益分配格局,且其存在关联并遵循一定的演进规律。研究结论:规范市场下农地发展权及使用权流转模式将是当前改革的方向,需从法律法规上明确农地发展权相关规定;不同地区需因地制宜地选择流转模式及类型,探索具体实施办法,循序渐进推进流转改革与创新。     

Developing smart service concepts: morphological analysis using a Novelty-Quality map

Among many techniques for generating new service ideas, morphological analysis has been used due to the advantage of decomposing the system into dimensions and shapes and bringing creative results in the process of recombining them. However, with the rise of smart service systems, the determination of dimensions and shapes has become a critical problem, particularly as both their structure and components become complex. This research focuses on a data-driven approach by incorporating mobile app service documents to increase objectivity and diversity in the construction of a morphology matrix. To this end, firstly, the novelty-quality map is developed to identify innovative data based on quantitative indicators. Secondly, morphological analysis is employed along with experts’ judgment in order to generate new smart service concepts. Finally, the feasibility and effectiveness of the proposed approach are shown based on a comparative analysis with conventional approaches and real services through a case study of smart home.