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自然保护区生态旅游业碳排放估算方法研究
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  • 英文篇名:Study on Estimation Method of Carbon Emission from Ecotourism in Nature Reserve
  • 作者:肖鹰
  • 英文作者:Xiao Ying;Guangdong Nanfang Institute of Technology;
  • 关键词:自然保护区 ; 生态旅游业 ; 碳排放 ; 估算 ; 减排环保
  • 英文关键词:nature reserve;;ecotourism;;carbon emission;;estimation;;emission reduction and environmental protection
  • 中文刊名:环境科学与管理
  • 英文刊名:Environmental Science and Management
  • 机构:广东南方职业学院;
  • 出版日期:2019-09-15
  • 出版单位:环境科学与管理
  • 年:2019
  • 期:09
  • 语种:中文;
  • 页:178-183
  • 页数:6
  • CN:23-1532/X
  • ISSN:1674-6139
  • 分类号:F592.7;X36
摘要
旅游业碳排放已经成为自然保护区生态旅游业重要因素之一,针对以往碳排放估算方法存在的估算精准度低的问题,按照测度-因素分解-调控逻辑线索,提出了全方位、多角度、多层次碳排放估算方法。依据旅游业碳排放特征分析技术路线,构建指数分解分析模型。依据该模型,确定旅游业碳排放层级,并初步估算旅游消耗部分所释放的二氧化碳总量,为剔除伪数据,分别从旅游交通、住宿和旅游活动三个重点领域估算旅游业碳排放量。通过研究近十年旅游业碳排放情况可知,该方法估算精准度较高,依据该方法可为减排环保计划的实施提供技术支持。
        Carbon emission from tourism has become one of the important factors of eco-tourism in nature reserves. Aiming at the problem of low accuracy of carbon emission estimation methods in the past, a comprehensive, multi-angle and multi-level carbon emission estimation method is put forward according to the logical clue of measure-factor decomposition-regulation. According to the analysis technology route of carbon emission characteristics of tourism industry, an index decomposition analysis model is constructed. Based on the model, the carbon emission levels of tourism industry are determined, and the total carbon dioxide released by tourism consumption is estimated preliminarily. To eliminate false data, the carbon emissions of tourism industry are estimated from three key areas: tourism transportation, accommodation and tourism activities. By studying the carbon emissions of tourism industry in the past ten years, it can be seen that this method has a high accuracy in estimating carbon emissions, and can provide technical support for the implementation of emission reduction and environmental protection plans.
引文
[1]刘军,马勇.旅游可持续发展的视角:旅游生态效率的一个综述[J].旅游学刊,2017,32(9):47-56.
    [2]赵先超,滕洁,谭书佳.基于投入产出法的湖南省旅游业碳排放测算及GRA关联度分析[J].世界地理研究,2018,27(3):164-174.
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    [5]宋权礼,陈玲玲.区域旅游产业碳排放动态及驱动因素研究——以江苏省旅游业为例[J].生态经济,2018,34(5):44-49.
    [6]赵宇.江苏省农业碳排放动态变化影响因素分析及趋势预测[J].中国农业资源与区划,2018,31(5):18-21.
    [7]张文.中国黑色金属行业能源消费碳排放因素分解研究[J].中国矿业,2018,40(9):58-62.
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