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旅游导刊 ›› 2023, Vol. 7 ›› Issue (3): 37-57.DOI: 10.12054/lydk.bisu.231
收稿日期:
2022-09-30
修回日期:
2023-04-10
出版日期:
2023-06-30
发布日期:
2023-07-21
作者简介:
冀雁龙(1989— ),男,山西大同人,山西大同大学云冈学学院助教,新疆大学经济与管理学院博士研究生,研究方向:旅游经济学。E-mail:jiyanlong1989@163.com;基金资助:
Received:
2022-09-30
Revised:
2023-04-10
Online:
2023-06-30
Published:
2023-07-21
摘要:
旅游业作为绿色经济与品质化服务业的典型代表,是城市绿色经济效率提升的有效途径。本文选取2006—2019年我国279个地级及以上城市作为研究样本,在使用EBM模型测算各城市绿色经济效率基础上,采用系统GMM方法实证检验旅游发展对城市绿色经济效率的影响。研究发现:旅游发展总体上有助于城市绿色经济效率提升,这一过程呈现倒U形特点;地区与旅游经济规模异质性表明,倒U形关系仅出现在东部、西部以及低旅游经济规模地区;产业结构升级、技术创新会强化旅游发展的绿色经济效率提升效应,发挥显著的正向调节作用。本研究为旅游发展驱动城市绿色经济效率提升提供了重要的现实依据。
中图分类号:
冀雁龙, 夏青. 旅游发展如何影响城市绿色经济效率——兼论产业结构、技术创新的调节作用[J]. 旅游导刊, 2023, 7(3): 37-57.
JI Yanlong, XIA Qing. The Effect of Tourism Development on the Efficiency of Urban Green Economy: A Discussion on the Regulatory Role of Industrial Structure and Technological Innovation[J]. Tourism and Hospitality Prospects, 2023, 7(3): 37-57.
目标层 Goal layer | 维度层 Dimensional layer | 因子层 Factor layer | 指标层 Indicator layer |
---|---|---|---|
绿色经济效率 Green economic efficiency | 非资源投入 | 劳动投入 | 全市年末单位从业人数(万人) 规模以上工业企业数(个) |
资本投入 | 固定资产投资(亿元) | ||
资源投入 | 能源投入 | 供气总量(万立方米) 供水总量(万立方米) 用电总量(亿千瓦时) | |
土地投入 | 土地投入 | 城市建设用地面积(万平方公里) | |
期望产出 | 经济产出 | 城市绿地面积(万平方公里) 国内生产总值(亿元) | |
非期望产出 | 废水排放 | 工业废水排放量(万吨) | |
废气排放 | 工业二氧化硫排放量(万吨) | ||
固体废弃物排放 | 工业固体废弃物排放量(万吨) |
表1 绿色经济效率指标体系
Tab.1 Green economic efficiency index system
目标层 Goal layer | 维度层 Dimensional layer | 因子层 Factor layer | 指标层 Indicator layer |
---|---|---|---|
绿色经济效率 Green economic efficiency | 非资源投入 | 劳动投入 | 全市年末单位从业人数(万人) 规模以上工业企业数(个) |
资本投入 | 固定资产投资(亿元) | ||
资源投入 | 能源投入 | 供气总量(万立方米) 供水总量(万立方米) 用电总量(亿千瓦时) | |
土地投入 | 土地投入 | 城市建设用地面积(万平方公里) | |
期望产出 | 经济产出 | 城市绿地面积(万平方公里) 国内生产总值(亿元) | |
非期望产出 | 废水排放 | 工业废水排放量(万吨) | |
废气排放 | 工业二氧化硫排放量(万吨) | ||
固体废弃物排放 | 工业固体废弃物排放量(万吨) |
变量类型 Variable type | 变量符号 Variable symbol | 变量名称 Variable name | 样本数 Sample number | 代理变量 Proxy variable | 均值 Mean | 标准差 Standard |
---|---|---|---|---|---|---|
被解释变量 Explained variables | gee | 绿色经济 效率 | 3 906 | 城市旅游经济效率 | 1.029 1 | 1.991 6 |
解释变量 Explanatory variables | tour | 旅游发展 | 3 906 | 人均旅游总收入 | 0.694 1 | 0.905 6 |
控制变量 Control variables | pgdp | 经济发展 | 3 906 | 人均GDP | 4.268 3 | 3.238 6 |
fdi | 外商投资 | 3 906 | 外商直接投资总额 | 7.992 5 | 19.277 2 | |
fin | 金融发展 | 3 906 | 金融机构存款与贷款余额之和 | 5.751 9 | 14.121 6 | |
evn | 环境规制 | 3 906 | 工业固定废弃物综合利用率 | 0.802 0 | 22.680 1 | |
调节变量 Regulated variables | ind | 产业结构 | 3 906 | 第二产业增加值占GDP比重 | 0.484 9 | 11.965 0 |
tech | 技术创新 | 3 906 | 科技支出 | 2.966 7 | 11.548 6 |
表2 各变量描述性统计
Tab.2 Descriptive statistics of variables
变量类型 Variable type | 变量符号 Variable symbol | 变量名称 Variable name | 样本数 Sample number | 代理变量 Proxy variable | 均值 Mean | 标准差 Standard |
---|---|---|---|---|---|---|
被解释变量 Explained variables | gee | 绿色经济 效率 | 3 906 | 城市旅游经济效率 | 1.029 1 | 1.991 6 |
解释变量 Explanatory variables | tour | 旅游发展 | 3 906 | 人均旅游总收入 | 0.694 1 | 0.905 6 |
控制变量 Control variables | pgdp | 经济发展 | 3 906 | 人均GDP | 4.268 3 | 3.238 6 |
fdi | 外商投资 | 3 906 | 外商直接投资总额 | 7.992 5 | 19.277 2 | |
fin | 金融发展 | 3 906 | 金融机构存款与贷款余额之和 | 5.751 9 | 14.121 6 | |
evn | 环境规制 | 3 906 | 工业固定废弃物综合利用率 | 0.802 0 | 22.680 1 | |
调节变量 Regulated variables | ind | 产业结构 | 3 906 | 第二产业增加值占GDP比重 | 0.484 9 | 11.965 0 |
tech | 技术创新 | 3 906 | 科技支出 | 2.966 7 | 11.548 6 |
变量 Variable | gee (1) | gee (2) | gee (3) | gee (4) |
---|---|---|---|---|
gee | -0.100 5*** (0.023 6) | -0.137 9** (0.071 2) | -0.101 2*** (0.024 2) | -0.134 1* (0.080 7) |
tour | 0.017 8** (0.007 0) | 0.540 0* (0.297 6) | 0.160 9*** (0.056 1) | 0.741 6* (0.535 6) |
tour | -0.061 2** (0.026 4) | -0.056 1 (0.195 9) | ||
控制变量 | 未控制 | 控制 | 未控制 | 控制 |
cons | 1.152 5*** (0.025 1) | -1.798 3 (1.852 3) | 1.196 7*** (0.032 5) | -2.330 9 (2.294 6) |
Hansen-p值 | 0.105 0 | 0.853 0 | 0.773 0 | 0.813 0 |
AR(2)-p值 | 0.352 0 | 0.207 0 | 0.963 0 | 0.359 0 |
表3 基准回归结果
Tab.3 Benchmark regression results
变量 Variable | gee (1) | gee (2) | gee (3) | gee (4) |
---|---|---|---|---|
gee | -0.100 5*** (0.023 6) | -0.137 9** (0.071 2) | -0.101 2*** (0.024 2) | -0.134 1* (0.080 7) |
tour | 0.017 8** (0.007 0) | 0.540 0* (0.297 6) | 0.160 9*** (0.056 1) | 0.741 6* (0.535 6) |
tour | -0.061 2** (0.026 4) | -0.056 1 (0.195 9) | ||
控制变量 | 未控制 | 控制 | 未控制 | 控制 |
cons | 1.152 5*** (0.025 1) | -1.798 3 (1.852 3) | 1.196 7*** (0.032 5) | -2.330 9 (2.294 6) |
Hansen-p值 | 0.105 0 | 0.853 0 | 0.773 0 | 0.813 0 |
AR(2)-p值 | 0.352 0 | 0.207 0 | 0.963 0 | 0.359 0 |
变量 Variable | gee (1) | gee (2) |
---|---|---|
tour | 0.021 7* (0.026 5) | 0.002 5* (0.002 7) |
tour2 | -0.002 8* (0.003 3) | -0.013 6* (0.009 6) |
控制变量 | 控制 | 控制 |
cons | 1.029 3*** (0.026 6) | 1.043 4*** (0.025 5) |
R2 | 0.957 5 | 0.958 8 |
N | 3 348 | 3 069 |
Kleibergen-Paap rk LM statistic-p值 | 0.000 0 | 0.005 6 |
Cragg-Donald Wald F statistic-p值 | 19.93 | 19.93 |
Kleibergen-Paap rk Wald F statistic-p值 | 19.93 | 19.93 |
Hansen J statistic-p值 | 0.546 7 | 0.236 7 |
表4 工具变量二阶段回归结果
Tab.4 Two-stage regression results of instrumental variables
变量 Variable | gee (1) | gee (2) |
---|---|---|
tour | 0.021 7* (0.026 5) | 0.002 5* (0.002 7) |
tour2 | -0.002 8* (0.003 3) | -0.013 6* (0.009 6) |
控制变量 | 控制 | 控制 |
cons | 1.029 3*** (0.026 6) | 1.043 4*** (0.025 5) |
R2 | 0.957 5 | 0.958 8 |
N | 3 348 | 3 069 |
Kleibergen-Paap rk LM statistic-p值 | 0.000 0 | 0.005 6 |
Cragg-Donald Wald F statistic-p值 | 19.93 | 19.93 |
Kleibergen-Paap rk Wald F statistic-p值 | 19.93 | 19.93 |
Hansen J statistic-p值 | 0.546 7 | 0.236 7 |
变量 Variable | gee (1) | gee (2) | gee (3) |
---|---|---|---|
L.gee | -0.120 7* (0.069 4) | -0.119 6* (0.066 3) | -0.085 9* (0.074 1) |
tour | 4.318 9* (3.111 0) | 0.806 0** (0.382 1) | 1.208 3* (0.838 7) |
tour2 | -0.719 5 (5.684 8) | -0.128 2 (0.414) | -0.098 8 (0.272 5) |
控制变量 | 控制 | 控制 | 控制 |
cons | -1.438 9 (1.869 9) | 0.203 1 (1.288 3) | -2.025 5 (1.604 0) |
AR(2)-p值 | 0.707 0 | 0.948 0 | 0.727 0 |
Hansen-p值 | 0.561 0 | 0.108 0 | 0.680 0 |
表5 稳健性检验
Tab.5 Robustness test
变量 Variable | gee (1) | gee (2) | gee (3) |
---|---|---|---|
L.gee | -0.120 7* (0.069 4) | -0.119 6* (0.066 3) | -0.085 9* (0.074 1) |
tour | 4.318 9* (3.111 0) | 0.806 0** (0.382 1) | 1.208 3* (0.838 7) |
tour2 | -0.719 5 (5.684 8) | -0.128 2 (0.414) | -0.098 8 (0.272 5) |
控制变量 | 控制 | 控制 | 控制 |
cons | -1.438 9 (1.869 9) | 0.203 1 (1.288 3) | -2.025 5 (1.604 0) |
AR(2)-p值 | 0.707 0 | 0.948 0 | 0.727 0 |
Hansen-p值 | 0.561 0 | 0.108 0 | 0.680 0 |
变量 Variable | 东部地区 Eastern region | 中部地区 Central region | 西部地区 Western region |
---|---|---|---|
L.gee | -0.132 8* (0.085 0) | -0.077 3* (0.059 4) | -0.118 5 (0.011 0) |
tour | 1.039 6* (0.864 6) | -0.452 2* (0.296 2) | 2.754 4* (2.593 0) |
tour2 | -0.148 3* (0.123 6) | 0.141 8* (0.097 6) | -0.391 1 (0.396 9) |
cons | -2.908 7 (4.452 9) | 1.570 2* (0.960 6) | 0.203 8 (0.236 3) |
控制变量 | 控制 | 控制 | 控制 |
AR(2)-p值 | 0.429 0 | 0.198 0 | 0.620 0 |
Hansen-p值 | 0.808 0 | 0.791 0 | 0.724 0 |
表6 区域异质性分析
Tab.6 Regional heterogeneity analysis
变量 Variable | 东部地区 Eastern region | 中部地区 Central region | 西部地区 Western region |
---|---|---|---|
L.gee | -0.132 8* (0.085 0) | -0.077 3* (0.059 4) | -0.118 5 (0.011 0) |
tour | 1.039 6* (0.864 6) | -0.452 2* (0.296 2) | 2.754 4* (2.593 0) |
tour2 | -0.148 3* (0.123 6) | 0.141 8* (0.097 6) | -0.391 1 (0.396 9) |
cons | -2.908 7 (4.452 9) | 1.570 2* (0.960 6) | 0.203 8 (0.236 3) |
控制变量 | 控制 | 控制 | 控制 |
AR(2)-p值 | 0.429 0 | 0.198 0 | 0.620 0 |
Hansen-p值 | 0.808 0 | 0.791 0 | 0.724 0 |
变量 Variable | 高旅游经济规模地区 High scale area | 中旅游经济规模地区 Medium scale area | 低旅游经济规模地区 Low scale area |
L.gee | -0.106 9 (0.114 8) | -0.206 5*** (0.085 3) | -0.088 2* (0.011 0) |
tour | -0.061 9 (0.980 4) | -1.329 6* (0.686 0) | 0.175 9** (0.081 3) |
tour2 | -0.108 3 (0.907 7) | 0.586 3** (0.286 8) | -0.012 9 (0.023 3) |
cons | -0.195 5 (1.612 2) | 0.601 0 (2.083 0) | 0.622 8 (1.266 5) |
控制变量 | 控制 | 控制 | 控制 |
AR(2)-p值 | 0.891 0 | 0.526 0 | 0.737 0 |
Hansen-p值 | 0.326 0 | 0.968 0 | 0.939 0 |
表7 旅游经济规模异质性分析
Tab.7 Tourism economic scale heterogeneity analysis
变量 Variable | 高旅游经济规模地区 High scale area | 中旅游经济规模地区 Medium scale area | 低旅游经济规模地区 Low scale area |
L.gee | -0.106 9 (0.114 8) | -0.206 5*** (0.085 3) | -0.088 2* (0.011 0) |
tour | -0.061 9 (0.980 4) | -1.329 6* (0.686 0) | 0.175 9** (0.081 3) |
tour2 | -0.108 3 (0.907 7) | 0.586 3** (0.286 8) | -0.012 9 (0.023 3) |
cons | -0.195 5 (1.612 2) | 0.601 0 (2.083 0) | 0.622 8 (1.266 5) |
控制变量 | 控制 | 控制 | 控制 |
AR(2)-p值 | 0.891 0 | 0.526 0 | 0.737 0 |
Hansen-p值 | 0.326 0 | 0.968 0 | 0.939 0 |
变量 Variable | gee (1) | gee (2) |
L.gee | -0.146 2** (0.067 8) | -0.166 0** (0.065 6) |
tour | 0.562 4* (0.572 2) | 0.316 7* (0.194 2) |
ind | 0.035 3** (0.034 7) | |
ind×tour | 0.026 6* (0.031 0) | |
tech | -0.001 7* (0.001 6) | |
tech×tour | 0.000 4* (0.000 5) | |
AR(2)-p值 | 0.104 0 | 0.100 0 |
Hansen-p值 | 0.326 0 | 0.211 0 |
表8 调节作用检验回归结果
Tab.8 Moderating effect test regression results
变量 Variable | gee (1) | gee (2) |
L.gee | -0.146 2** (0.067 8) | -0.166 0** (0.065 6) |
tour | 0.562 4* (0.572 2) | 0.316 7* (0.194 2) |
ind | 0.035 3** (0.034 7) | |
ind×tour | 0.026 6* (0.031 0) | |
tech | -0.001 7* (0.001 6) | |
tech×tour | 0.000 4* (0.000 5) | |
AR(2)-p值 | 0.104 0 | 0.100 0 |
Hansen-p值 | 0.326 0 | 0.211 0 |
[1] | Asadi S, Pourhashemi O S, Nilashi M, et al. Investigating influence of green innovation on sustainability performance:A case on Malaysian hotel industry[J]. Journal of Cleaner Production, 2020(258):120860. |
[2] | Brahmasrene T, Lee J W. Assessing the dynamic impact of tourism,industrialization,urbanization,and globalization on growth and environment in southeast Asia[J]. International Journal of Sustainable Development & World Ecology, 2017, 24(4):362-371. |
[3] | Croes R, Ridderstaat J, Bąk M, et al. Tourism specialization,economic growth,human development and transition economies:The case of Poland[J]. Tourism Management, 2021(82):104181. |
[4] | D’Amato D, Droste N, Allen B, et al. Green,circular,bio economy:A comparative analysis of sustainability avenues[J]. Journal of Cleaner Production, 2017(168):716-734. |
[5] | Dimitri L, Debbage K. The Economic Geography of the Tourist Industry[M]. London:Routledge: Routledge,1998. |
[6] | Durbarry R. The economic contribution of tourism in Mauritius[J]. Annals of Tourism Research, 2002, 29(3):862-865. |
[7] | Lee C C, Chang C P. Tourism development and economic growth:A closer look at panels[J]. Tourism Management, 2008, 29(1):180-192. |
[8] | Lee J W, Kwag M. Green growth and sustainability:The role of tourism,travel and hospitality service industry in Korea[J]. Journal of Distribution Science, 2013, 11(7):15-22. |
[9] | Marsiglio S. Economic growth and environment:Tourism as a trigger for green growth[J]. Tourism Economics, 2015, 21(1):183-204. |
[10] | Pan S Y, Gao M Y, Kim H, et al. Advances and challenges in sustainable tourism toward a green economy[J]. Science of the Total Environment, 2018(635):452-469. |
[11] | Pearce D W, Markandya A, Barbier E B. Blueprint for a Green Economy:A Report[M]. London: Earthscan Publication Limited,1989. |
[12] | Shan J, Wilson K. Causality between trade and tourism:Empirical evidence from China[J]. Applied Economics Letters, 2001, 8(4):279-283. |
[13] | Tang C F, Tan E C. Does tourism effectively stimulate Malaysia’s economic growth?[J]. Tourism Management, 2015(46):158-163. |
[14] | Tong C, Ding S, Wang B, et al. Assessing the target-availability of China’s investments for green growth using time series prediction[J]. Physica A:Statistical Mechanics and its Applications, 2020(537):122724. |
[15] | Zhang H, Geng Z R, Yin R S, et al. Regional differences and convergence tendency of green development competitiveness in China[J]. Journal of Cleaner Production, 2020(254):119922. |
[16] | 丁玉龙. 城市规模对绿色经济效率的影响及空间效应研究——基于我国285个地级及以上城市数据的实证分析[J]. 城市问题, 2021(12):58-68. |
[DING Yulong. Study on the influence of city scale on the efficiency of green economy and its spatial effect:Empirical evidence from 285 prefecture-level and above cities in China[J]. Urban Problems, 2021(12):58-68.] | |
[17] | 丰晓旭. 全域旅游和区域绿色发展的关联度[J]. 改革, 2018(2):122-131. |
[FENG Xiaoxu. The correlation between universal tourism and regional green development[J]. Reform, 2018(2):122-131.] | |
[18] | 管宁, 何皛彦, 李博雅. 京津冀数字服务经济对绿色经济效率的影响研究[J]. 宏观经济研究, 2022(7):105-119. |
[GUAN Ning, HE Xiaoyan, LI Boya. A study on the impact of Beijing-Tianjin-Hebei digital service economy on the efficiency of green economy[J]. Macroeconomics, 2022(7):105-119.] | |
[19] | 何敏, 殷平. 信息技术对北京市旅游经济增长的贡献度研究[J]. 旅游导刊, 2017, 1(5):17-27. |
[HE Min, YIN Ping. An analysis of the impact of information technology on tourism economy growth in Beijing[J]. Tourism and Hospitality Prospects, 2017, 1(5):17-27.] | |
[20] | 冀雁龙. 旅游发展对我国产业结构升级的影响——基于中介效应、调节效应分析[J]. 经济论坛, 2022(4):66-81. |
[JI Yanlong. Impact of tourism development on the industrial structure upgrading in China:An analysis based on intermediary effect and moderating effect[J]. Economic Tribune, 2022(4):66-81.] | |
[21] | 江小涓. 理解科技全球化——资源重组、优势集成和自主创新能力的提升[J]. 管理世界, 2004(6):4-13,155. |
[JIANG Xiaojuan. Comprehension of technical globalization[J]. Management World, 2004(6):4-13,155.] | |
[22] | 柯善咨, 赵曜,. 产业结构、 城市规模与中国城市生产率[J]. 经济研究, 2014, 49(4):76-88,115. |
[KE Shanzi, ZHAO Yao. Industrial structure,city size and urban productivity in China[J]. Economic Research Journal, 2014, 49(4):76-88,115.] | |
[23] | 李金林, 陈立泰, 刘梅. 互联网发展对中国区域绿色经济效率的影响[J]. 中国人口·资源与环境, 2021, 31(10):149-157. |
[LI Jinlin, CHEN Litai, LIU Mei. Influence of Internet development on the efficiency of China’s regional green economy[J]. China Population,Resources and Environment, 2021, 31(10):149-157.] | |
[24] | 李涛, 李国平, 薛领. 生产性服务业集聚对绿色经济效率的影响研究[J]. 科学学研究, 2022, 40(11):1968-1978. |
[LI Tao, LI Guoping, XUE Ling. Research on the impact of producer services agglomeration on the efficiency of green economy[J]. Studies in Science of Science, 2022, 40(11):1968-1978.] | |
[25] | 李天元. 旅游学[M]. 3版. 北京: 高等教育出版社, 2011:33. |
[LI Tianyuan. Tourism[M]. 3rd ed. Beijing: Higher Education Press, 2011:33.] | |
[26] | 李彦, 王鹏, 梁经伟. 生态旅游示范区对区域经济绿色发展的影响研究——基于准自然实验的视角[J]. 经济问题探索, 2020(2):21-30. |
[LI Yan, WANG Peng, LIANG Jingwei. Research on the impact of eco-tourism demonstration area on the green development of regional economy:Based on the quasi-natural experimental study[J]. Inquiry into Economic Issues, 2020(2):21-30.] | |
[27] | 李治国, 王杰, 王叶薇. 经济集聚扩大绿色经济效率差距了吗?——来自黄河流域城市群的经验证据[J]. 产业经济研究, 2022(1):29-42. |
[LI Zhiguo, WANG Jie, WANG Yewei. Does economic agglomeration widen the efficiency gap in green economic efficiency? Evidence from urban agglomerations in the Yellow River Basin[J]. Industrial Economics Research, 2022(1):29-42.] | |
[28] | 林伯强, 谭睿鹏. 中国经济集聚与绿色经济效率[J]. 经济研究, 2019, 54(2):119-132. |
[LIN Boqiang, TAN Ruipeng. Economic agglomeration and green economy efficiency in China[J]. Economic Research Journal, 2019, 54(2):119-132.] | |
[29] | 刘强, 马彦瑞, 徐生霞. 数字经济发展是否提高了中国绿色经济效率?[J]. 中国人口·资源与环境, 2022, 32(3):72-85. |
[LIU Qiang, MA Yanrui, XU Shengxia. Has the development of digital economy improved the efficiency of China’s green economy?[J]. China Population,Resources and Environment, 2022, 32(3):72-85.] | |
[30] | 罗伯特·M,. 索洛. 经济增长理论:一种解说[M]. 胡汝银,译. 上海: 上海人民出版社, 1994:3-5. |
[ Robert·M,. Solow. Growth Theory:An Exposition[M]. HU Ruyin,trans. Shanghai: Shanghai People’s Publishing House, 1994:3-5.] | |
[31] | 钱争鸣, 刘晓晨. 中国绿色经济效率的区域差异与影响因素分析[J]. 中国人口·资源与环境, 2013, 23(7):104-109. |
[QIAN Zhengming, LIU Xiaochen. Regional differences in China’s green economic efficiency and their determinants[J]. China Population,Resources and Environment, 2013, 23(7):104-109.] | |
[32] | 佘硕, 王巧, 张阿城,. 技术创新、 产业结构与城市绿色全要素生产率——基于国家低碳城市试点的影响渠道检验[J]. 经济与管理研究, 2020, 41(8):44-61. |
[SHE Shuo, WANG Qiao, ZHANG Acheng. Technological innovation,industrial structure and urban GTFP:Channel test based on national low-carbon city pilots[J]. Research on Economics and Management, 2020, 41(8):44-61.] | |
[33] | 舒小林, 高应蓓, 张元霞, 等. 旅游产业与生态文明城市耦合关系及协调发展研究[J]. 中国人口·资源与环境, 2015, 25(3):82-90. |
[SHU Xiaolin, GAO Yingbei, ZHANG Yuanxia, et al. Study on the coupling relationship and coordinative development between tourism industry and eco-civilization city[J]. China Population,Resources and Environment, 2015, 25(3):82-90.] | |
[34] | 宋晓玲, 李金叶. 双向FDI协调发展是否促进了绿色经济效率增长——基于技术创新视角[J]. 国际商务(对外经济贸易大学学报), 2021(2):126-140. |
[SONG Xiaoling, LI Jinye. Does the coordinated development of two-way FDI promote green economic efficiency?From the perspective of technological innovation[J]. International Business, 2021(2):126-140.] | |
[35] | 孙景兵, 薛倩. 科技创新提高碳排放效率了吗?[J]. 生态经济, 2022, 38(6):22-28,34. |
[SUN Jingbing, XUE Qian. Does scientific and technological innovation improve carbon emission efficiency?[J]. Ecological Economy, 2022, 38(6):22-28,34.] | |
[36] | 田坤, 行伟波, 黄坤. 交通基础设施升级与旅游经济高质量发展——基于高铁开通的实证研究[EB/OL].(2022-10-14)[2023-01-10]. https://doi.org/10.16513/j.cnki.cje.20221013.001. |
[TIAN Kun, XING Weibo, HUANG Kun. Transportation infrastructure upgrading and high-quality development of tourism economy:An empirical study based on the opening of high-speed railway[EB/OL].(2022-10-14)[2023-01-10]. https://doi.org/10.16513/j.cnki.cje.20221013.001.] | |
[37] | 童昀, 刘海猛, 马勇, 等. 中国旅游经济对城市绿色发展的影响及空间溢出效应[J]. 地理学报, 2021, 76(10):2504-2521. |
[TONG Yun, LIU Haimeng, MA Yong, et al. The influence and spatial spillover effects of tourism economy on urban green development in China[J]. Acta Geographica Sinica, 2021, 76(10):2504-2521.] | |
[38] | 童昀, 何彪. 旅游经济的绿色发展效应及其形成机制——中国92个旅游依赖型城市的实证[J]. 中国人口·资源与环境, 2022, 32(4):134-144. |
[TONG Yun, HE Biao. Green development effect of tourism economy and its formation mechanism:Evidence from 92 tourism-dependent cities in China[J]. China Population,Resources and Environment, 2022, 32(4):134-144.] | |
[39] | 汪彬, 阳镇, 陈洋毅, 等. 绿色经济效率影响机制[J]. 上海经济杂志, 2022(6):62-77. |
[WANG Bin, YANG Zheng, CHEN Yangyi, et al. Influence mechanism of green economic efficiency[J]. Shanghai Journal of Economics, 2022(6):62-77.] | |
[40] | 汪克亮, 刘悦, 史利娟, 等. 长江经济带工业绿色水资源效率的时空分异与影响因素——基于EBM-Tobit模型的两阶段分析[J]. 资源科学, 2017, 39(8):1522-1534. |
[WANG Keliang, LIU Yue, SHI Lijuan, et al. Yangtze River economic zone spatial and temporal disparities in industrial green water resource efficiency and influencing factors:Based on two-step analysis of EBM-Tobit model[J]. Resources Science, 2017, 39(8):1522-1534.] | |
[41] | 王林辉, 王辉, 董直庆. 经济增长和环境质量相容性政策条件——环境技术进步方向视角下的政策偏向效应检验[J]. 管理世界, 2020, 36(3):39-59. |
[WANG Linhui, WANG Hui, DONG Zhiqing. Policy conditions for compatibility between economic growth and environmental quality:A test of policy bias effects from the perspective of the direction of environmental technological progress[J]. Management World, 2020, 36(3):39-59.] | |
[42] | 杨龙, 胡晓珍. 基于DEA的中国绿色经济效率地区差异与收敛分析[J]. 经济学家, 2010(2):46-54. |
[YANG Long, HU Xiaozhen. Analysis on regional difference and convergence of the efficiency of China’s green economy based on DEA[J]. Economist, 2010(2):46-54.] | |
[43] | 张建鹏, 陈诗一. 金融发展、环境规制与经济绿色转型[J]. 财经研究, 2021, 47(11):78-93. |
[ZHANG Jianpeng, CHEN Shiyi. Financial development,environmental regulations and green economic transition[J]. Journal of Finance and Economics, 2021, 47(11):78-93.] | |
[44] | 张幼文, 薛安伟. 要素流动对世界经济增长的影响机理[J]. 世界经济研究, 2013(2):3-8,87. |
[ZHANG Youwen, XUE Anwei. Factor mobility and its impact on world economic growth[J]. World Economy Studies, 2013(2):3-8,87.] | |
[45] | 赵磊. 旅游发展与经济增长——来自中国的经验证据[J]. 旅游学刊, 2015, 30(4):33-49. |
[ZHAO Lei. Tourism development and economic growth:Empirical evidence from China[J]. Tourism Tribune, 2015, 30(4):33-49.] |
[1] | 保继刚. 将尺度观引入旅游统计工作的几点思考[J]. 旅游导刊, 2019, 3(1): 1-8. |
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