《五台山旅游酒店碳排放效果提升探讨,旅游管理论文.docx》由会员分享，可在线阅读，更多相关《五台山旅游酒店碳排放效果提升探讨,旅游管理论文.docx（12页珍藏版）》请在taowenge.com淘文阁网|工程机械CAD图纸|机械工程制图|CAD装配图下载|SolidWorks_CaTia_CAD_UG_PROE_设计图分享下载上搜索。
1、五台山旅游酒店碳排放效果提升探讨,旅游管理论文本篇论文目录导航：【题目】 五台山旅游酒店碳排放效果提升讨论【第一章】【第二章】【第三章】【第四章】【第五章】【第六章】【结论/以下为参考文献】摘 要随着生态环境恶化、气候变暖、全球能源浪费等问题的层出不穷，碳排放问题越来越引起国内外学者的广泛关注。在不久前闭幕的巴黎气候会中，又一次强调了温室气体排放和高碳排放能源大量使用的危害，希望各国能共同采取措施控制气候变暖。酒店作为旅游业的 碳排放大户 ,怎样通过科学有效的措施来降低能源消耗和减少温室气体排放，进而提高能源利用效率和碳排放效率已经迫在眉睫，亟需引起广大学者的关注。因而，研究酒店碳排放效率和低
2、碳途径意义重大。首先，本文以酒店建筑面积、客房数和从业人员数作为投入指标，以酒店消耗的主要能源和资源，即酒店每年耗水量、耗电量和秏煤量作为产出指标，利用数据包络分析方式方法测算景区 28 家酒店 2020 年的碳排放效率。结果表示清楚：1规模效率与纯技术效率相对较高，且规模效率水平略高于纯技术效率水平；技术效率水平总体偏低。2发展处于规模收益递增阶段、规模收益递减阶段和规模收益不变阶段的酒店数基本持平。3比拟纯技术效率和规模效率对技术效率的奉献可知，纯技术效率对技术效率的影响，略大于规模效率的影响。其次，结合双向指示种分析和典范对应分析研究了 7 种重要指标对不同酒店类型以及三种效率类型的影响
3、程度。结果表示清楚：1利用 28 家酒店的技术效率、规模效率和纯技术效率值组成 28 3 维的数据矩阵，运用双向指示种分析可将 28家酒店划分为四类，第组属于碳排放效率完全型酒店，第组属于碳排放效率较高型酒店，第组属于纯技术效率最低型酒店，第组属于规模效率最低型酒店。2然后结合酒店耗水量、耗电量、耗煤量、注册资本、建筑面积、从业人数和客房数 7 种指标值组成 28 7 维的数据矩阵，进行 CCA 分析可发现，沿第二象限和第四象限的对角线，酒店碳排放效率的类型在由纯技术效率最低的第组酒店逐步向规模效率最低的第组酒店、碳排放效率较高的第组酒店、碳排放效率完全的第组酒店过渡的经过中，酒店碳排放效率逐
4、步增大。3第组酒店的影响指标不明显；第组中的 7 家酒店需要在耗煤量、耗水量、耗电量和注册资本上下功夫；另外 2 家酒店和第组中的酒店主要需要在酒店客房数、从业人员数和建筑面积上作出调整。最后，利用数学统计方式方法和问卷调查分析研究其它相关影响因素对酒店碳排放效率和碳排放量的影响。结果表示清楚：1酒店的碳排放效率与碳排放量之间存在关系，但不明显，即较高的能源效率并不等同于较低的碳排放量。但一定意义上，提高碳排放效率却有利于降低碳排放量。2从对酒店经营碳排放经过存在问题的调查研究中能够得出下面一些结论：第一，景区大多酒店都意识到节能减排的重要性，但由于企业资金限制、短期成本提高以及客流量影响等多
5、方面原因，较少有酒店采取了切实而有效地低碳措施。第二，在一些投入较低的低碳设施上，不同等级规模酒店间并无大的区别。当前，对于酒店碳排放效率的研究相当欠缺，而关于五台山景区酒店碳排放效率的研究更是空白，这也是本文的一大创新之处；但同时由于前期研究的不成熟，本文在众多方面尚存在缺陷，有待于进一步完善。本文关键词语：碳排放效率，技术效率，纯技术效率，规模效率，影响因素ABSTRACTAs ecological deterioration,climate change,global energy waste problems emergein endlessly,carbon emissions is
6、 more and more aroused wide attention of scholars athome and abroad. In the recently concluded climate conference in Paris,the greenhousegas emissions and the harm of high carbon energy use was stressed once again.It hopeall the countries to jointly take measures to control climate change.As hotel w
7、as bigcarbon emissions enterprise of tourism,how to use scientific and effective measures toreduce the energy consumption and reduce greenhouse gas emissions,so as to improvethe efficiency of energy efficiency and carbon emissions,is imminent.It needs to causethe attention of many scholars.So the st
8、udy of the hotel efficiency and low carbonemissions path is of great significance.First,this paper takes the hotel buildings area, rooms and staff number as inputindicators,and the main hotel consumption energy and resources,such as the annualwater consumption,power consumption and coal consumption,
9、as output indicators.Then it uses DEA model to calculate the carbon emissions efficiency of 28 hotels in2020.The results show that:1Pure technical efficiency and scale efficiency is relativelyhigh,and pure technical efficiency level is slightly higher than the scale efficiencylevel;technical efficie
10、ncy is low.2The number of the hotel in the stage of increasingreturn to scale,the scale of diminishing returns and constant return to scale were littlechanged.3In the contribution of decomposition efficiency to the overall efficiency,thepure technical efficiency influence to the technical efficiency
11、 is slightly bigger than theeffect of the scale efficiency to technical efficiency.Second,two-way indicator species analysis and model combining correspondenceanalysis are used to study the influence of the seven important index to different kindsof hotel the three types of efficiency.Results show t
12、hat:1It uses technical efficiency,pure technical efficiency and scale efficiency of 28 hotels to constitute a value of 28 x 3d data matrix,and uses two-way indicator species analysis to divide 28 hotels into fourcategories,hotels of the group belongs to the carbon efficiency completely hotel,thehote
13、ls of the group have high carbon efficiency,the group s pure technicalefficiency is the lowest,and the group s scale efficiency is the lowest.2Thencombined with the hotel water,electricity,coal consumption,registered capital,buildingarea,and the number of rooms and workers to constitute a index of 2
14、8 x 7 d datamatrix.According to Canonical Correspondence Analysis,it can find that:as the diagonalof the second quadrant and the fourth quadrant,the type of hotel carbon efficiencytransforms the pure technical efficiency with the lowest first group gradually to thehotel of the group hotel whose scal
15、e efficient is least,and transforms the high carbonemissions efficiency of the first group hotel to the complete carbon efficiency of thefirst group hotel.The hotel carbon efficiency increases gradually.3The influenceindex of the first group hotel is not obvious; The first seven hotels in group need
16、to adjust coal consumption, water consumption,power consumption, and registeredcapital;The other 2 hotels and the hotels in group mainly need to adjust hotelrooms,staff number and construction area.Finally,It uses the method of mathematical statistics and questionnaire analysis tostudy other related
17、 influencing factors of the hotel carbon efficiency and carbonemissions.Results show that:1The relationship between the hotel s carbon emissionsefficiency and the carbon emissions is not obvious.The higher energy efficiency is notthe same as low carbon emissions,but by improving the efficiency of ca
18、rbon emissionsis beneficial to reducing carbon emissions.2From the study about the problems existedin the process of hotel management of carbon emissions in the investigation,it can drawthe following conclusion:firstly,the mostly hotels in scenic spot are aware of theimportance of energy conservatio
19、n and emissions reduction,but owing to the rise in thecost of enterprise capital limited,short-term and traffic influence etc.,only a few hotelstaking effectively low carbon measures.Secondly,on some lower low carboninfrastructure,there is no big difference between different rating scale of the hote
20、l.At present,the study of the carbon efficiency is lacking for the hotel, and the studyof the carbon emissions efficiency in wutai mountain scenic area is blank,which is agreat innovation of this article;Immature,but at the same time,due to previous studies isstill flawed,this paper remains to be fu
21、rther improved in many respects.Keywords:Carbon emissions efficiency,Technical efficiency,Pure technicalefficiency,Scale efficiency,affecting factors目录摘 要ABSTRACT第 1 章 绪论1.1 选题背景1.2 研究意义1.2.1 理论意义1.2.2 现实意义1.3 文献综述1.3.1 国外研究综述1.3.2 国内研究综述1.4 研究方式方法与技术道路1.4.1 研究方式方法1.4.2 技术道路图第 2 章 低碳旅游相关理论2.1 低碳旅游理论
22、2.2 旅游碳排放理论2.2.1 碳排放相关概念2.2.2 旅游碳排放2.3 旅游碳排放效率理论2.3.1 生产前沿面的界定2.3.2 旅游碳排放效率的定义第 3 章 指标体系选择与研究施行3.1 投入产出指标与样本选择3.1.1 指标选取遵循原则3.1.2 投入产出指标体系的选择3.1.3 数据来源与数据描绘叙述3.2 研究施行3.2.1 研究区大概情况3.2.2 研究施行经过第 4 章 酒店碳排放效率的测算4.1 引言4.2 研究方式方法4.2.1 DEA 方式方法的基本原理4.2.2 传统 DEA 模型4.3 结果分析4.3.1 酒店碳排放效率计算结果4.3.2 发展阶段特征4.3.3
23、分组分布特征4.3.4 分解效率对技术效率的奉献第 5 章 酒店碳排放效率的典范对应分析5.1 引言5.2 研究方式方法5.3 结果分析5.3.1 TWINSPAN 结果5.3.2 CCA 结果第 6 章 酒店碳排放影响因素分析6.1 引言6.2 研究方式方法6.3 结果分析6.3.1 酒店碳排放量估算及结果分析6.3.2 酒店经营与管理存在的碳排放问题分析第 7 章 结论与建议7.1 结论7.1.1 关于酒店碳排放效率的测算7.1.2 关于酒店碳排放效率的典范对应分析7.1.3 关于酒店碳排放的影响因素7.2 建议7.2.1 酒店碳排放效率的提升途径7.2.2 酒店减少碳排放的措施7.2.3 酒店碳补偿机制的构建7.3 讨论以下为参考文献致谢