基于SWOT-AHP模型的西塘古镇旅游产业发展策略研究

西塘古镇素有"生活着的千年古镇"之名,其旅游产业的发展存在众多优势的同时也面临严峻内外部挑战。对影响西塘古镇发展的各因素进行SWOT定性分析,并在此基础上采用AHP定量模型分析限制和促进古镇旅游业发展因素,按照AHP分析结果,从域内景点布局升级优化、区位优势挖潜、过度商业开发控制以及文化与产业融合等角度提出了对应的改进策略建议。     

Digital competency evaluation of low-cost airlines using an integrated IVIF AHP and IVIF VIKOR methodology

Recently, low-cost airline (LCA) companies have become more attractive. However, emerging digital technologies have transformed the passengers’ profiles. Digital competency has become a crucial matter to capture digital passenger expectations. Hence, the purpose of the study is to introduce a new digital competency evaluation (DCE) model. The proposed model comprises technology transformation & implementation, and also transformation & adaptation management dimensions, with ten criteria and thirty sub-criteria. Criteria weights are calculated using the IVIF AHP method. The results show that the most significant dimension is transformation and adaptation management. The most digitally competent airline is selected through the IVIF VIKOR method. A case study concerning the LCAs is conducted in Turkey to verify the validity of the proposed model.     

黔东南山地生态农业发展评价及预测研究

[目的]对2012~2016年黔东南州山地生态农业发展做出评价,并预测其2018~2027年的发展情况,以期了解黔东南地区农业可持续发展能力及未来趋势的变化规律。[方法]以黔东南及贵州《2013~2017年统计年鉴》为数据来源,通过构建评价指标体系,利用层次分析法及加权评分法对2012~2016年山地生态农业发展做出评价;并运用灰色模型,借助Matlab工具,对黔东南山地生态农业发展做出预测。[结果]2010~2016年黔东南州山地生态农业的经济、生态、社会效益处于发展上升阶段,协调度良好,但生态效益发展最低,其中2015年经济、社会、生态系统可持续发展良好,但由于持续保护,2016年出现生态保护过度,经济和综合效益下降现象,因此发展模式有待于向发展经济和社会效益方面倾斜;黔东南州山地生态农业在2018~2027年将会处于发展上升阶段,但其发展缓慢,仍存在一定限制因素。[结论]政府应积极调整农业产业结构,转变农业发展思路,可将部分生态农业与旅游相结合,发挥区位特色的同时,提升品牌的知名度。加大力度引导农业园区和重点产业的发展,推进农业农村改革试点的运行,加大新型农人的培育,促进高效、现代、特色生态农业的发展。     

Factors influencing the adoption of ICT tools in Kerala marine fisheries sector: an analytic hierarchy process approach

Adoption of a new ICT tool in the fisheries sector depends on several factors such as ease of use, affordable cost, information, and time. All these factors determine the preference of an existing tool over others for productivity enhancement. Which ICT tool is more beneficial than others is a continuing debate among researchers. However, the literature currently lacks detailed studies of fishermen criteria for selecting the best ICT tools in the marine fisheries sector. This paper is based on a framework which explains the factors influencing the adoption of ICT tools for the better fish catch, with the help of a multi-criteria decision making approach, called Analytic Hierarchy Process. Also, in the study we have compared the results of analysis using AHP with popular method TOPSIS and the obtained results were validated. The Study also assesses scientifically, which is the most important ICT tool for fishing through a case study in Northern and Southern parts of Kerala, a state in the southern India. The Study finds that Global Positioning System (GPS) is the most beneficial and important ICT tool in marine fishing. In contrast to the earlier studies, the results show that wireless set is important than other tools like mobile phone and echo-sounder for multi-day fishing. The cost-benefit analysis also supports findings of the study.     

Multi-criteria analysis of economic complexity transition in emerging economies: The case of Paraguay

Like many emerging economies, the productive structure of the Paraguayan economy is not complex. It relies extensively on low value-added activities in the primary sector such as agriculture and cattle ranching. These activities have a lower return in terms of economic and social benefits than other potential productive activities and do not contribute to increasing capability accumulation. In this paper we present a tool to support the identification of strategic sectors and products which if taken advantage of, could leverage development through the accumulation of productive capabilities. Our guiding question is: Which productive sectors should be promoted to foster economic development in Paraguay through a transition towards a more complex economy? To answer this question, we use concepts from the Economic Complexity theory to identify new products and cluster them based on the Product Space methodology for the determination of potential products and combine it with the Analytic Hierarchy Process (AHP) for multicriteria analysis considering multiple criteria. In doing so, our proposed methodology contributes to both the Economic Complexity and the AHP literature. Through this combination, we tackle the multiplicity of juxtaposed criteria, which should be considered at the prioritization stage in the crafting of economic restructuring measures according to the country's capabilities. Our evaluation showed that the combination of the approaches is useful, and for Paraguay's case, it helped identify sectors, which, if promoted by policymakers, could help boost economic development through complexity and capability accumulation.     

低山丘陵区高标准基本农田建设限制性因子识别与建设方向

[目的]识别低山丘陵区高标准基本农田建设的限制性因素。[方法]基于GIS平台,运用AHP-熵权法,以重庆市高标准基本农田建设的6个典型项目区为例,从田块禀赋、设施配套、投入产出水平、社会经济水平及生态环境等5方面选取15项指标,识别低山丘陵区高标准基本农田建设的限制性因素。[结果](1)低山丘陵区高标准基本农田建设限制性因素依次存在中低山缓坡区丘陵宽谷区河谷平坝区的趋势,且不同微地貌条件下的限制性因素存在一定差异。(2)从项目区评价分值来看,河谷平坝区耕地质量分值最高,为高标准基本农田重点建设区域;丘陵宽谷区建设条件与耕地质量较好,是高标准基本农田建设次重点区域;而中低山缓坡区限制性因子较多,高标准基本农田建设适宜性较差。(3)文章研究的AHP-熵权法可以适用于其他地貌类型单元下高标准基本农田建设限制性因素识别研究。[结论]因地制宜,科学合理安排低山丘陵区微地貌类型下的高标准基本农田建设内容与整治任务。     

An integrated SWOT based fuzzy AHP and fuzzy MARCOS methodology for digital transformation strategy analysis in airline industry

Driven by business strategies, digital transformation (DT) facilitates dramatic change in air passenger behavior. This study aims to determine and analyze different DT strategies (DTSs) with the help of an integrated SWOT-based fuzzy AHP-MARCOS methodology that is proposed for the first time in the literature for this purpose. This methodology is validated with a case study concerning the airline industry in Turkey. The weights of the SWOT factors are determined with the fuzzy AHP method. The fuzzy MARCOS approach is used to select the most suitable DTS. The most appropriate strategy is obtained as “focusing on differentiated digital customer experience and service quality by the adaptation of business models to DT to provide benefits”.     

广西农业生态脆弱性评价及区划研究

［目的］随着经济的快速发展，我国各地区都面临着不同程度的农业生态脆弱性，通过研究特殊地形和气候下的农业生态脆弱性，有助于为农业生态环境的综合治理提供参考。［方法］文章以广西为例，通过构建评价指标体系，采用层次分析法和熵权法确定综合权重，通过构建综合评价模型对广西农业生态脆弱性程度进行评价，利用ArcGIS对生态脆弱性进行分级，以期探究广西农业生态脆弱性的空间分布情况。［结果］权重分析结果表明水蚀面积的权重值最高为0134，年平均降水量的权重值为0113，自然环境指标相对于农业生产和经济指标对农业生态脆弱性的影响更大。区划研究结果表明广西农业生态脆弱性区域大致可分为5个区域，分别是桂西峰丛洼地带、桂东山地丘陵地带、桂中低山丘陵地带、桂东北山地、桂南沿海丘陵地带。［结论］广西农业生态环境整体来看较为脆弱，处于轻度和中度脆弱等级，但生态环境问题仍不容忽视。为了改善农业生态脆弱性，政府应实行区域的联合防治，加大对农业生态环境的监督和治理，积极探寻生态、环保的农业发展方式，调整产业结构，改善农业生态环境的状态，促进广西农业的可持续发展。     

黑龙江省农业旅游资源分布及其价值分析

[目的]对黑龙江省农业旅游资源分布及其价值进行分析和评价,以期为黑龙江省农业旅游的可持续发展提供参考和借鉴。[方法]文章对黑龙江省农业旅游资源进行分类型论述,采用层次分析法(AHP)建立黑龙江省农业旅游资源价值评价体系,根据农业旅游经营者和管理者对指标的打分值与指标权重值加权计算各类型农业资源价值指数并分析资源价值。[结果](1)根据农业资源分布、地理环境、气候天象、人文特色,将黑龙江省农业旅游资源划分为地文农业旅游区、水文农业旅游区、气候天象农业旅游区、生物生态农业旅游区、人文农业旅游区5个区域,各区域各有特色,差异性明显。(2)根据各区域资源价值指数分析看出,气候天象农业旅游区的资源价值最大,其次是地文农业旅游区,然后是水文农业旅游区和生物生态农业旅游区,人文农业旅游区的资源价值最小。[结论]黑龙江省农业旅游资源非常丰富,能够形成一个相对完整的农业旅游资源体系,具有较强的可持续发展潜力。在黑龙江省农业旅游的五大发展区域中,气候天象农业旅游区和地文农业旅游区的旅游资源价值较大。黑龙江省可以持续开发建设这一类农业旅游项目,并根据季节性与地理环境特征着力打造冰雪农业旅游。     

电子政务成效评价模型及实证研究——以湖南省部分地级市为例

本文旨在研究电子政务是否及怎样作用于信息时代建立高效、公开、正义、廉洁服务型政府的机制。以公众和公务员为研究视角,综合电子政务的内部与外部绩效,构建以顾客满意度、电子政务应用实效、可持续保障机制、基础设施完备度等为指标体系的电子政务成效层次结构模型,并以长沙、株洲和郴州市政府的调查数据进行实证研究,揭示电子政务的成效。结果表明:电子政务成效总体属于中等水平,电子政务的功能性应用处于建设性阶段,对政务信息共享和电子化有较好的促进作用,但电子政务提高政务的执行效率有限。提出了各级政府应加大电子政务的功能性应用建设力度,协同创新政务管理策略,以此提高政务执行效率,实现服务型政府。