地理研究 ›› 2020, Vol. 39 ›› Issue (6): 1357-1369.doi: 10.11821/dlyj020190471
收稿日期:
2019-06-05
修回日期:
2019-09-30
出版日期:
2020-06-20
发布日期:
2020-08-20
通讯作者:
宋玉祥
作者简介:
于婷婷(1985-),女,吉林长春人,博士,助理研究员,研究方向为旅游经济、区域经济协调发展。E-mail: yutt931@nenu.edu.cn
基金资助:
YU Tingting1, ZUO Bing1, SONG Yuxiang2(), WU Yuanyuan2
Received:
2019-06-05
Revised:
2019-09-30
Online:
2020-06-20
Published:
2020-08-20
Contact:
SONG Yuxiang
摘要:
基于2002—2016年中国283个地级市的面板数据集,利用DEA模型测度各地级市的综合效率、纯技术效率和规模效率。在此基础上,建立空间计量模型,分析旅游业发展对经济综合效率的影响。结果表明:① 中国城市经济综合效率整体水平在研究期内呈现出先升后降的变化趋势,投入产出效率水平较低,仅少数城市实现效率最优。东部和中部地区的综合效率水平相当,西部偏低,不具备明显的梯度特征。② 旅游收入每提高1%,城市综合效率正向变动0.064%,其对城市综合效率的作用强度显著高于人力资本水平、二产产值比重、第二第三产业从业人员数以及政府财政支出占比。③ 旅游业对中国三大区域城市整体综合效率的提高存在区域差异,西部地区的旅游收入水平对经济综合效率的作用强度高于东部和中部地区。
于婷婷, 左冰, 宋玉祥, 吴媛媛. 中国旅游业发展对区域经济效率的影响——基于中国283个地级市的实证证据[J]. 地理研究, 2020, 39(6): 1357-1369.
YU Tingting, ZUO Bing, SONG Yuxiang, WU Yuanyuan. The influence of tourism development on regional economic efficiency: Evidence from 283 prefecture-level cities in China[J]. GEOGRAPHICAL RESEARCH, 2020, 39(6): 1357-1369.
表1
2002—2016年中国东部、中部和西部城市投入产出效率"
效率 | 地区 | 年份 | 均值 | |||||||
---|---|---|---|---|---|---|---|---|---|---|
2002 | 2004 | 2006 | 2008 | 2010 | 2012 | 2014 | 2016 | |||
综合效率 | 东部 | 0.533 | 0.647 | 0.563 | 0.553 | 0.570 | 0.568 | 0.555 | 0.574 | 0.570 |
中部 | 0.499 | 0.605 | 0.580 | 0.578 | 0.591 | 0.614 | 0.557 | 0.558 | 0.573 | |
西部 | 0.440 | 0.461 | 0.470 | 0.497 | 0.510 | 0.502 | 0.436 | 0.475 | 0.474 | |
均值 | 0.490 | 0.571 | 0.538 | 0.543 | 0.557 | 0.561 | 0.516 | 0.536 | - | |
纯技术效率 | 东部 | 0.678 | 0.705 | 0.635 | 0.674 | 0.664 | 0.674 | 0.653 | 0.676 | 0.670 |
中部 | 0.568 | 0.658 | 0.628 | 0.636 | 0.642 | 0.675 | 0.618 | 0.618 | 0.630 | |
西部 | 0.524 | 0.511 | 0.526 | 0.564 | 0.587 | 0.580 | 0.519 | 0.573 | 0.548 | |
均值 | 0.590 | 0.624 | 0.596 | 0.625 | 0.631 | 0.643 | 0.597 | 0.622 | - | |
规模效率 | 东部 | 0.776 | 0.898 | 0.872 | 0.817 | 0.851 | 0.84 | 0.848 | 0.847 | 0.844 |
中部 | 0.844 | 0.895 | 0.903 | 0.886 | 0.898 | 0.889 | 0.887 | 0.890 | 0.887 | |
西部 | 0.827 | 0.891 | 0.879 | 0.873 | 0.867 | 0.863 | 0.852 | 0.843 | 0.862 | |
均值 | 0.816 | 0.894 | 0.885 | 0.859 | 0.872 | 0.864 | 0.862 | 0.859 | - |
表2
2002—2016年中国地级市经济综合效率的Moran's I检验结果"
年份 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 |
---|---|---|---|---|---|---|---|---|
Moran's I | 0.1945 | 0.2370 | 0.2386 | 0.1904 | 0.1679 | 0.1862 | 0.1225 | 0.1170 |
P-value | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
年份 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | |
Moran's I | 0.1229 | 0.1979 | 0.1370 | 0.2951 | 0.2169 | 0.3306 | 0.2904 | |
P-value | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
表3
中国283个地级市经济综合效率与旅游发展的计量估计结果"
解释变量 | OLS | SLM | SEM |
---|---|---|---|
lnTOUR | 0.027***(10.470) | 0.045*** (9.007) | 0.064*** (12.062) |
lnEDU | 0.006*** (4.407) | 0.003 (1.476) | 0.006*** (3.072) |
lnIND | 0.007*** (19.335) | 0.003*** (7.349) | 0.004*** (9.128) |
lnEMP | 0.026*** (8.693) | 0.014*** (5.773) | 0.034*** (6.696) |
lnEXP | 0.002* (1.717) | 0.002*** (3.276) | 0.008* (1.717) |
W*dep.var. | - | 0.804*** (27.415) | - |
spat.aut. | - | - | 0.925*** (68.638) |
LogL | 1259.400 | 3563.811 | 3627.183 |
R2 | 0.334 | 0.711 | 0.564 |
LMLAG | - | 653.618*** | - |
R-LMLAG | - | 27.761*** | - |
LMERR | - | - | 1169.421*** |
R-LMERR | - | - | 543.564*** |
表4
中国东部、中部和西部地区地级市旅游发展与经济综合效率的计量估计结果"
变量 | 东部地区 | 中部地区 | 西部地区 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
OLS | SLM | SEM | OLS | SLM | SEM | OLS | SLM | SEM | |||
lnTOUR | 0.0175*** (3.660) | 0.036*** (4.257) | 0.047*** (5.041) | 0.041*** (10.513) | 0.036*** (4.383) | 0.044*** (5.100) | 0.058*** (13.150) | 0.062*** (6.743) | 0.086*** (9.129) | ||
lnEDU | 0.015*** (5.207) | 0.001 (0.278) | 0.001 (0.231) | 0.010*** (3.851) | 0.005 (1.522) | 0.006* (1.670) | 0.013*** (5.547) | 0.004 (1.378) | 0.005 (1.479) | ||
lnIND | 0.010*** (15.564) | 0.003*** (3.702) | 0.004*** (4.140) | 0.006*** (9.286) | 0.003*** (3.624) | 0.003*** (3.655) | 0.005*** (8.858) | 0.004*** (5.287) | 0.005*** (6.004) | ||
lnEMP | 0.024*** (4.319) | 0.015*** (3.162) | 0.007 (0.716) | 0.040*** (8.120) | 0.017*** (3.997) | 0.016* (1.914) | 0.033*** (6.836) | 0.016*** (3.832) | 0.046*** (5.374) | ||
lnEXP | 0.006*** (4.290) | 0.002** (2.213) | 0.008** (2.256) | 0.002*** (1.331) | 0.001 (0.562) | 0.006 (1.445) | 0.001 (0.855) | 0.003*** (2.596) | 0.017** (2.387) | ||
W*dep.var. | - | 0.761*** (19.543) | - | - | 0.682*** (13.722) | - | - | 0.695*** (14.555) | - | ||
spat.aut. | - | - | 0.819*** (26.017) | - | - | 0.844*** (30.735) | - | - | 0.880*** (41.171) | ||
LogL | 600.331 | 1442.208 | 1450.463 | 567.352 | 1358.182 | 1360.646 | 372.468 | 879.851 | 909.622 | ||
R2 | 0.195 | 0.743 | 0.679 | 0.191 | 0.723 | 0.627 | 0.227 | 0.668 | 0.439 | ||
LMLAG | - | 98.863*** | - | - | 72.991*** | - | - | 75.413*** | - | ||
R-LMLAG | - | 0.487 | - | - | 21.965*** | - | - | 10.611*** | - | ||
LMERR | - | - | 120.070*** | - | - | 52.466*** | - | - | 118.159*** | ||
R-LMERR | - | - | 21.694*** | - | - | 1.439 | - | - | 53.358*** |
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