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| 节能减排约束下中国省域旅游生态效率评估及空间格局研究 | |
| 引用本文： | 郭丽佳,李畅,彭红松,钟士恩,章锦河,虞虎.节能减排约束下中国省域旅游生态效率评估及空间格局研究[J].地理科学进展,2021,40(8):1284-1297. |
| 作者姓名： | 郭丽佳 李畅 彭红松 钟士恩 章锦河 虞虎 |
| 作者单位： | 1.南京财经大学工商管理学院,南京 210046 2.南京大学地理与海洋科学学院,南京 210023 3.中国科学院地理科学与资源研究所,北京 100101 |
| 基金项目： | 国家自然科学基金青年项目(41801129);教育部人文社会科学研究青年基金项目(18YJC790124);江苏省第十六批“六大人才高峰”高层次人才选拔培养项目(2019-YJ-020);江苏省研究生科研创新计划项目(KYCX20_1371) |
| 摘 要： | 旅游生态效率评估及空间格局研究是揭示中国省域旅游业发展质量与态势的重要基础。论文以“自下而上”法核算中国省域旅游能源消耗与碳排放为基础,综合运用考虑非期望产出的Super-SBM模型、Malmquist指数及探索性空间数据分析等方法,探究节能减排约束下2000—2017年中国省域旅游生态效率及其空间分异、收敛和关联格局。结果表明：① 旅游能源消耗与碳排放总体呈先增长、后下降的倒“U”形演化趋势,支持环境库兹涅茨曲线(EKC)假说;② 旅游生态效率总体呈波动增长趋势,并有较大增长潜力,纯技术效率驱动生态效率优化发展;③ 旅游生态效率在省域、地区尺度上均呈现空间分异格局,但趋向收敛平衡发展;④ 旅游生态效率呈现由强到弱的正向空间关联格局,其发展模式以低—低集聚为主,低—高集聚次之,空间集聚模式待优化。各省区应以生态效率水平较高的地区为基准,通过要素流动、规模效应、技术进步及环境规制等手段,实现旅游业高质量协调发展。 |
| 关 键 词： | 旅游生态效率评估 空间分异 空间收敛 空间关联 节能减排 中国省域 |
| 收稿时间： | 2020-12-01 |
| 修稿时间： | 2021-01-10 |
Tourism eco-efficiency at the provincial level in China in the context of energy conservation and emission reduction |
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| GUO Lijia,LI Chang,PENG Hongsong,ZHONG Shi'en,ZHANG Jinhe,YU Hu.Tourism eco-efficiency at the provincial level in China in the context of energy conservation and emission reduction[J].Progress in Geography,2021,40(8):1284-1297. | |
| Authors: | GUO Lijia LI Chang PENG Hongsong ZHONG Shi'en ZHANG Jinhe YU Hu |
| Institution: | 1. School of Business Administration, Nanjing University of Finance and Economics, Nanjing 210046, China 2. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China 3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China |
| Abstract: | The study on the evaluation and spatial pattern of tourism eco-efficiency is an important basis for revealing the quality and state of tourism development at the provincial level in China. Based on a bottom-up approach to calculate tourism energy consumption and carbon emissions at the provincial level in China, this study used the Super-SBM (slacks-based measure) model, Malmquist index, and exploratory spatial data analysis to explore the spatial differentiation, convergence, and correlation patterns of tourism eco-efficiency at the provincial level in China in the context of energy conservation and emission reduction. The results show that: 1) Tourism energy consumption and carbon emissions generally show an inverted U-shaped trend that first increases and then decreases, which supports the environmental Kuznets curve (EKC) hypothesis. 2) The overall tourism eco-efficiency shows a fluctuating growth trend, and has great growth potential. Pure technical efficiency drives the optimized development of eco-efficiency. 3) At the provincial and regional scales, tourism eco-efficiency presents a spatial differentiation pattern, but tends to convergence and reach balanced development. 4) Tourism eco-efficiency presents a positive spatial correlation pattern from strong to weak, and its development model is dominated by low-low agglomeration, followed by low-high agglomeration, and the spatial agglomeration model needs to be optimized. All provinces and regions should take the areas with higher eco-efficiency as the benchmark, and realize the coordinated development of tourism with high quality by means of factor flow, scale effect, technological progress, and environmental regulation. |
| Keywords: | tourism eco-efficiency evaluation spatial differentiation spatial convergence spatial correlation energy conservation and emission reduction provinces of China |
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