PROGRESS IN GEOGRAPHY ›› 2021, Vol. 40 ›› Issue (8): 1284-1297.doi: 10.18306/dlkxjz.2021.08.003
• Articles • Previous Articles Next Articles
GUO Lijia1(), LI Chang1, PENG Hongsong1,*(
), ZHONG Shi'en1, ZHANG Jinhe2, YU Hu3
Received:
2020-12-01
Revised:
2021-01-10
Online:
2021-08-28
Published:
2021-10-28
Contact:
PENG Hongsong
E-mail:guolijia1231@163.com;penghongsongahsd@163.com
Supported by:
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.
Tab.1
Tourism eco-efficiency evaluation system at Chinese provincial level in the context of energy conservation and carbon emission reduction
指标类别 | 指标内涵 | 指标表征 |
---|---|---|
投入指标 | 旅游资源投入 | 省域旅游资源禀赋(分) |
旅游劳动力投入 | 省域旅游从业人数(人) | |
旅游资本投入 | 省域旅游固定资产净值(亿元) | |
旅游能源消耗 | 省域旅游能源消耗(PJ) | |
期望产出指标 | 旅游经济收入 | 省域旅游总收入(亿元) |
非期望产出指标 | 旅游碳排放 | 省域旅游碳排放(万t) |
Tab.2
Tourism eco-efficiency at Chinese provincial level in the context of energy conservation and carbon emission reduction, 2000-2017
省区 | 2000年 | 2002年 | 2004年 | 2006年 | 2008年 | 2010年 | 2012年 | 2014年 | 2016年 | 2017年 |
---|---|---|---|---|---|---|---|---|---|---|
北京 | 0.322 | 0.409 | 0.250 | 0.337 | 0.310 | 0.262 | 0.230 | 0.256 | 0.235 | 0.237 |
天津 | 1.402 | 1.393 | 1.455 | 1.374 | 1.290 | 1.287 | 1.294 | 1.245 | 1.149 | 1.096 |
河北 | 0.345 | 0.285 | 0.185 | 0.203 | 0.141 | 0.242 | 0.203 | 0.270 | 0.397 | 0.463 |
山西 | 0.153 | 0.149 | 0.094 | 0.247 | 0.284 | 0.335 | 0.363 | 0.522 | 0.760 | 1.188 |
内蒙古 | 0.147 | 0.221 | 0.215 | 0.325 | 0.423 | 0.436 | 0.352 | 0.464 | 0.576 | 0.598 |
辽宁 | 0.130 | 0.319 | 0.170 | 0.260 | 0.388 | 0.543 | 0.524 | 0.627 | 0.363 | 0.431 |
吉林 | 0.087 | 0.198 | 0.158 | 0.221 | 0.256 | 0.305 | 0.354 | 0.508 | 0.682 | 1.030 |
黑龙江 | 0.272 | 0.288 | 0.231 | 0.271 | 0.371 | 0.444 | 0.414 | 0.267 | 0.312 | 0.320 |
上海 | 1.598 | 1.479 | 1.564 | 1.551 | 1.505 | 1.563 | 1.588 | 1.468 | 1.444 | 1.449 |
江苏 | 0.547 | 0.690 | 0.444 | 1.006 | 1.068 | 1.019 | 0.582 | 0.667 | 0.582 | 0.582 |
浙江 | 0.468 | 1.059 | 1.012 | 1.130 | 1.194 | 0.569 | 0.398 | 0.547 | 0.468 | 0.482 |
安徽 | 0.188 | 0.206 | 0.156 | 0.213 | 0.301 | 0.311 | 0.457 | 0.433 | 0.503 | 0.543 |
福建 | 0.342 | 0.509 | 0.414 | 0.569 | 0.417 | 0.314 | 0.275 | 0.314 | 0.371 | 0.432 |
江西 | 0.420 | 0.390 | 0.221 | 0.259 | 0.218 | 0.242 | 0.275 | 0.371 | 0.585 | 0.742 |
山东 | 0.287 | 0.365 | 0.303 | 0.373 | 0.463 | 0.495 | 0.440 | 0.539 | 0.586 | 0.455 |
河南 | 1.382 | 1.096 | 0.365 | 1.022 | 0.481 | 0.490 | 0.491 | 0.515 | 0.437 | 0.411 |
湖北 | 0.365 | 0.436 | 0.259 | 0.292 | 0.294 | 0.461 | 0.479 | 1.015 | 0.422 | 0.407 |
湖南 | 0.272 | 0.329 | 0.282 | 0.279 | 0.312 | 0.305 | 0.303 | 0.318 | 0.343 | 0.513 |
广东 | 1.057 | 1.131 | 1.031 | 1.055 | 0.439 | 0.388 | 0.442 | 0.732 | 1.021 | 0.727 |
广西 | 0.220 | 0.328 | 0.237 | 0.207 | 0.218 | 0.298 | 0.359 | 1.008 | 1.009 | 0.647 |
海南 | 0.173 | 0.195 | 0.136 | 0.136 | 0.150 | 0.148 | 0.150 | 0.179 | 0.133 | 0.161 |
重庆 | 0.068 | 0.445 | 0.257 | 0.182 | 0.272 | 0.322 | 0.318 | 0.355 | 0.367 | 0.428 |
四川 | 0.206 | 0.273 | 0.172 | 0.245 | 0.233 | 0.303 | 0.358 | 0.445 | 0.587 | 0.580 |
贵州 | 0.336 | 1.039 | 1.048 | 0.075 | 0.434 | 0.423 | 0.501 | 1.002 | 1.027 | 1.067 |
云南 | 0.313 | 0.333 | 0.181 | 0.170 | 0.171 | 0.216 | 0.223 | 0.231 | 0.371 | 0.520 |
陕西 | 0.282 | 0.233 | 0.210 | 0.244 | 0.251 | 0.274 | 0.314 | 0.350 | 0.408 | 0.444 |
甘肃 | 0.063 | 0.058 | 0.061 | 0.065 | 0.071 | 0.088 | 0.120 | 0.154 | 0.182 | 0.211 |
青海 | 0.114 | 0.116 | 0.082 | 0.105 | 0.083 | 0.077 | 0.099 | 0.113 | 0.143 | 0.109 |
宁夏 | 0.133 | 0.080 | 0.050 | 0.077 | 0.073 | 0.089 | 0.074 | 0.084 | 0.088 | 0.102 |
新疆 | 0.122 | 0.148 | 0.104 | 0.108 | 0.096 | 0.091 | 0.110 | 0.092 | 0.149 | 0.178 |
均值 | 0.394 | 0.473 | 0.378 | 0.420 | 0.407 | 0.411 | 0.403 | 0.503 | 0.523 | 0.552 |
标准差 | 0.410 | 0.399 | 0.407 | 0.414 | 0.367 | 0.334 | 0.315 | 0.345 | 0.328 | 0.330 |
Tab.3
Global Moran's I test of tourism eco-efficiency at Chinese provincial level in the context of energy conservation and carbon emission reduction, 2000-2017
指标 | 2000年 | 2001年 | 2002年 | 2003年 | 2004年 | 2005年 | 2006年 | 2007年 | 2008年 |
---|---|---|---|---|---|---|---|---|---|
Moran's I | 0.080 | 0.101 | 0.174 | 0.088 | 0.134 | 0.171 | 0.307 | 0.329 | 0.398 |
Z值 | 1.047 | 1.194 | 1.750 | 1.109 | 1.473 | 1.767 | 2.826 | 2.994 | 3.634 |
P值 | 0.139 | 0.110 | 0.050** | 0.138 | 0.078* | 0.052* | 0.015** | 0.008*** | 0.004*** |
指标 | 2009年 | 2010年 | 2011年 | 2012年 | 2013年 | 2014年 | 2015年 | 2016年 | 2017年 |
Moran's I | 0.374 | 0.257 | 0.209 | 0.058 | 0.022 | 0.032 | 0.063 | 0.025 | -0.007 |
Z值 | 3.440 | 2.553 | 2.153 | 0.876 | 0.545 | 0.570 | 0.811 | 0.485 | 0.236 |
P值 | 0.006*** | 0.018** | 0.034** | 0.152 | 0.241 | 0.274 | 0.197 | 0.299 | 0.372 |
Tab.4
Cluster pattern of tourism eco-efficiency at Chinese provincial level in the context of energy conservation and carbon emission reduction, 2000, 2006, 2011, and 2017
年份 | 高—高集聚模式 | 低—高集聚模式 | 低—低集聚模式 | 高—低集聚模式 |
---|---|---|---|---|
2000 | 江苏、浙江、江西、上海 | 北京、山西、山东、河北、安徽、湖北、湖南、福建、广西、海南 | 黑龙江、内蒙古、吉林、新疆、甘肃、宁夏、青海、陕西、四川、贵州、重庆、云南、辽宁 | 河南、广东、天津 |
2006 | 江苏、浙江、福建、上海 | 北京、山西、山东、河北、安徽、江西、海南 | 黑龙江、内蒙古、吉林、新疆、甘肃、宁夏、青海、陕西、湖北、四川、贵州、重庆、湖南、云南、广西、辽宁 | 河南、广东、天津 |
2011 | 山东、江苏、浙江、上海 | 北京、河北、安徽、海南 | 黑龙江、内蒙古、吉林、新疆、山西、甘肃、宁夏、青海、陕西、四川、重庆、江西、湖南、云南、福建、广西 | 河南、湖北、贵州、广东、天津、辽宁 |
2017 | 江苏、广西、广东 | 黑龙江、北京、河北、河南、浙江、重庆、湖南、云南、福建、辽宁、海南 | 新疆、山东、甘肃、宁夏、青海、陕西、安徽、湖北 | 内蒙古、吉林、山西、四川、贵州、江西、天津、上海 |
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