It is of great significance to achieve the carbon peak and carbon neutrality of tourism industry for the realization of the national "carbon peaking and carbon neutrality goals" and the high-quality development of tourism industry. Firstly,tourism carbon emissions and ecosystem carbon sinks in Hainan Province from 2000 to 2020 were calculated. Then,GDIM,Monte Carlo simulation and scenario analysis were used to decompose and predict the carbon peak path of domestic and inbound tourism. Meanwhile,grey model and Markov chain were used to predict the allocated carbon sinks of tourism industry. Finally,based on the forecast results of tourism carbon emissions and carbon sinks,this paper explore the realization of carbon neutrality under different scenarios and different tourist markets. The results showed that: 1) From 2000 to 2020,both tourism carbon emissions and ecosystem carbon sinks increased in Hainan. The proportion of domestic tourism carbon emissions and allocated carbon sinks in domestic tourism gradually increased,while the proportion of inbound tourism carbon emissions gradually decreased and was significantly affected by the COVID-19. 2) The most important driving factors of tourism carbon emissions in domestic and inbound tourism are tourism economy scale and investment scale,which are absolute factors. While the factors contributing to the reduction of tourism carbon emissions are tourism economy carbon intensity and investment carbon intensity,which are relative factors. 3) The carbon peak time of domestic tourism in Hainan is 2035 as the baseline development scenario,2030 as the sustainable development scenario,2026 as the low-carbon development scenario. The peaks under the three scenarios were 3470.74×104 tons,359.02×104 tons and 326.84×104 tons respectively. The peak value of inbound tourism carbon emissions is at 7.38×104 tons in 2035 under the baseline development scenario,while it has already peaked under other scenarios. 4) The carbon sink that can be allocated to tourism increases year by year,the carbon sink that can be allocated to domestic tourism increases,while the carbon sink that can be allocated to inbound tourism decreases. Domestic tourism in Hainan Province will realize the carbon neutral goal in 2044,while inbound tourism already realize the carbon neutral goal. This study can optimize the low-carbon development policy of tourism industry,provide a reference for realizing the "carbon peaking and carbon neutrality goals" in Hainan Province and help build the Hainan Free Trade Port and the national ecological civilization pilot zone.
[1] 金准. 碳达峰、碳中和与旅游业高质量转型[J]. 旅游学刊,2021,36(9):3-5.
[2] UNWTO and UNEP. Climate Change and Tourism:Responding to Global Challenges[R]. Madrid,2008.
[3] Luo Y,Mou Y,Wang Z,et al. Scenario-based planning for a dynamic tourism system with carbon footprint analysis:A case study of Xingwen Global Geopark,China[J]. Journal of Cleaner Production,2020,https://doi.org/10.1016/j.jclepro.202 0.119999.
[4] 黄和平,乔学忠,张瑾,等. 绿色发展背景下区域旅游业碳排放时空分异与影响因素研究——以长江经济带为例[J]. 经济地理,2019,39(11):214-224.
[5] 查建平,戴家权,刘珂吉,等. 旅游增长与碳排放脱钩状态及其驱动因素研究——一个新的脱钩分析框架[J]. 旅游学刊,2022,37(4):13-24.
[6] 唐承财,查建平,章杰宽,等. 高质量发展下中国旅游业“双碳”目标:评估预测、主要挑战与实现路径[J]. 中国生态旅游,2021,11(4):471-497.
[7] 朱海,王立国,贺焱,等. 多情景下中国省域旅游业碳达峰的时空特征研究[J]. 干旱区资源与环境,2023,37(1):169-176.
[8] 朱海,王立国. 江西省旅游业碳达峰与碳中和研究[J]. 中国生态旅游,2022,12(4):617-631.
[9] 刘自敏,张娅. 中国碳排放的时空跃迁特征、影响因素与达峰路径设计[J]. 西南大学学报:社会科学版,2022,48(6):99-112.
[10] Huo T F,Ma Y L,Cai W G,et al.Will the urbanization process influence the peak of carbon emissions in the building sector?A dynamic scenario simulation[J]. Energy and Buildings,2020,doi:10.1016/j.enbuild.2020.110590.
[11] 廖祖君,张剑宇,陈诗薇. 碳排放影响因素及达峰路径研究——基于四川省的分析[J/OL]. 软科学:1 - 11[2022 - 12 - 27]. http://kns.cnki.net/kcms/detail/51.1268.G3.20221109.1 110.004.html.
[12] 蒋惠琴,李奕萱,陈苗苗,等. 碳中和愿景下浙江省工业部门碳达峰预测与实现策略[J]. 地域研究与开发,2022,41(4):157-161,168.
[13] 刘自敏,崔志伟,朱朋虎,等. 中国电力消费的动态时空特征及其驱动因素[J]. 中国人口·资源与环境,2019,29(11):20-29.
[14] Vaninsky A.Factorial decomposition of CO2 emissions:A generalized divisia index approach[J]. Energy Economics,2014,45:389-400.
[15] Liu D,Yang D,Huang A.LEAP-based greenhouse gases emissions peak and low carbon pathways in China’s tourist industry[J]. International Journal of Environmental Research and Public Health,2021,8(3):1-15.
[16] 胡剑锋,杨宜男,路世昌. 碳赤字型省份碳中和模式选择与生态成本比较——以辽宁省为例[J]. 经济地理,2021,41(11):193-200.
[17] 沈镭. 面向碳中和的中国自然资源安全保障与实现策略[J]. 自然资源学报,2022,37(12):3037-3048.
[18] 刘泽淼,黄贤金,卢学鹤,等. 共享社会经济路径下中国碳中和路径预测[J]. 地理学报,2022,77(9):2189-2201.
[19] 禹湘,娄峰,谭畅. 基于CIE-CEAM模型的中国工业“双碳”路径模拟[J]. 中国人口·资源与环境,2022,32(7):49-56.
[20] Ritchie B W,Kemperman A,Dolnicar S.Which types of product attributes lead to aviation voluntary carbon offsetting among air passengers?[J]. Tourism Management,2021,85:1-11.
[21] Ma T,Min Q,Xu K,et al.Resident willingness to pay for ecotourism resources and associated factors in Sanjiangyuan National Park,China[J]. Journal of Resources and Ecology,2021,12(5),693-706.
[22] Heather Z,Narelle B.Assessing motivations for carbon offsetting by environmentally certified tourism enterprises[J]. Anatolia,2013,24(3):297-318.
[23] Zhang J K,Zhang Y.Carbon tax,tourism CO2 emissions and economic welfare[J].Annals of Tourism Research,2018,69:18-30.
[24] 曹辉,吴慧珍,沈珊珊,等. “国家的碳源”抑或“国家的碳汇”?——基于武夷山国家公园碳均衡分析[J]. 自然资源学报,2023,38(4):934-950.
[25] 石培华,吴普. 中国旅游业能源消耗与CO2排放量的初步估算[J]. 地理学报,2011,66(2):235-243.
[26] 陶玉国,黄震方,吴丽敏,等. 江苏省区域旅游业碳排放测度及其因素分解[J]. 地理学报,2014,69(10):1438-1448.
[27] 鲁丰先,张艳,秦耀辰,等. 中国省级区域碳源汇空间格局研究[J]. 地理科学进展,2013,32(12):1751-1759.
[28] 石铁矛,王迪,汤煜,等. 城市生态系统碳汇固碳能力计算方法与影响因素研究进展[J]. 应用生态学报,2023,34(2):555-565.
[29] 杨林,郝新亚,沈春蕾,等. 碳中和目标下中国海洋渔业碳汇能力与潜力评估[J]. 资源科学,2022,44(4):716-729.
[30] 单永娟,张颖. 我国陆地生态系统碳汇核算研究[J]. 林业经济,2015,37(6):102-107.
[31] 涂玮,刘钦普. 华东地区旅游碳排放与碳承载力关系研究[J]. 生态经济,2021,37(11):144-149,155.
[32] 马创,袁野,尤海生. 基于灰色——马尔可夫模型的农产品产量预测方法[J]. 计算机科学,2020,47(S1):535-539.
[33] 刘璞,王萌,马苓,等. 灰色马尔可夫预测模型和加权加增长率移动平均法预测精度的比较[J]. 统计与决策,2018,34(22):11-15.