College of Tourism, Huaqiao University, Quanzhou 362021, China.
School of Geographical Sciences, Southwest University, Chongqing 400715, China.
Int J Environ Res Public Health. 2021 Jan 29;18(3):1218. doi: 10.3390/ijerph18031218.
China has grown into the world's largest tourist source market and its huge tourism activities and resulting greenhouse gas (GHG) emissions are particularly becoming a concern in the context of global climate warming. To depict the trajectory of carbon emissions, a long-range energy alternatives planning system (LEAP)-Tourist model, consisting of two scenarios and four sub-scenarios, was established for observing and predicting tourism greenhouse gas peaks in China from 2017 to 2040. The results indicate that GHG emissions will peak at 1048.01 million-ton CO equivalent (Mt CO) in 2033 under the integrated (INT) scenario. Compared with the business as usual (BAU) scenario, INT will save energy by 24.21% in 2040 and reduce energy intensity from 0.4979 tons of CO equivalent/10 yuan (TCO/10 yuan) to 0.3761 Tce/10 yuan. Although the INT scenario has achieved promising effects of energy saving and carbon reduction, the peak year 2033 in the tourist industry is still later than China's expected peak year of 2030. This is due to the growth potential and moderate carbon control measures in the tourist industry. Thus, in order to keep the tourist industry in synchronization with China's peak goals, more stringent measures are needed, e.g., the promotion of clean fuel shuttle buses, the encouragement of low carbon tours, the cancelation of disposable toiletries and the recycling of garbage resources. The results of this simulation study will help set GHG emission peak targets in the tourist industry and formulate a low carbon roadmap to guide carbon reduction actions in the field of GHG emissions with greater certainty.
中国已发展成为全球最大的旅游客源国,其庞大的旅游活动及其产生的温室气体(GHG)排放尤其受到全球气候变暖背景下的关注。为了描绘碳排放轨迹,建立了一个包含两个情景和四个子情景的远程能源替代规划系统(LEAP-Tourist)模型,用于观察和预测中国 2017 年至 2040 年旅游业温室气体排放峰值。结果表明,在综合情景(INT)下,2033 年中国旅游业 GHG 排放将达到 10.4801 亿吨二氧化碳当量(Mt CO)。与基准情景(BAU)相比,INT 情景在 2040 年将节约 24.21%的能源,能源强度将从 0.4979 吨二氧化碳当量/10 元降低到 0.3761 吨二氧化碳当量/10 元。尽管 INT 情景在节能和减排方面取得了显著成效,但旅游业的峰值年份 2033 仍晚于中国预期的峰值年份 2030 年。这是由于旅游业具有增长潜力和适度的碳控制措施。因此,为了使旅游业与中国的峰值目标保持同步,需要采取更严格的措施,例如推广清洁能源穿梭巴士、鼓励低碳旅游、取消一次性洗漱用品和回收垃圾资源。本模拟研究的结果将有助于设定旅游业温室气体排放峰值目标,并制定低碳路线图,以更有把握地指导温室气体排放领域的减排行动。