资源科学 ›› 2018, Vol. 40 ›› Issue (12): 2461-2474.doi: 10.18402/resci.2018.12.13
收稿日期:
2017-11-07
修回日期:
2018-07-20
出版日期:
2018-12-20
发布日期:
2018-12-10
作者简介:
作者简介:查建平,男,安徽安庆人,博士,副教授,主要研究方向为低碳经济、产业经济、旅游经济与管理。E-mail:
基金资助:
Jianping ZHA(), Xingbao QIAN, Qianqian ZHAO, Haoyu SHU(
)
Received:
2017-11-07
Revised:
2018-07-20
Online:
2018-12-20
Published:
2018-12-10
摘要:
为更为有效测算旅游全要素生产率,弥补传统效率测算方法的局限,本文将超效率数据包络构造思路引入到双前沿面下的DEA-Malmquist指数计算之中,构建了基于双前沿面的超效率数据包络分析模型,并补充规模报酬可变的条件约束,构建出更具可信性的基于双前沿面的中国旅游全要素生产率测度及分解模型,进而对2000—2015年中国30个省(直辖市、自治区)旅行社、星级酒店与旅游景区三种类型企业的全要素生产率进行比较与分析,结论显示:三类旅游企业的全要素生产率整体呈现增长趋势,但其演化态势与增长的决定因素亦存在较大差异;同类旅游企业全要素生产率增长的决定因素存在区域异质性;同区域旅游企业全要素生产率增长的决定因素存在行业异质性。其可能的原因是现代信息技术对旅游企业资源配置的影响存在行业差异,制度供给对旅游细分行业发展的影响存在差异,以及三类旅游企业自身发展过程中演化形成不同的行业特质。
查建平, 钱醒豹, 赵倩倩, 舒皓羽. 中国旅游全要素生产率及其分解研究[J]. 资源科学, 2018, 40(12): 2461-2474.
Jianping ZHA, Xingbao QIAN, Qianqian ZHAO, Haoyu SHU. Estimation and decomposition of total factors productivity of China’s tourism[J]. Resources Science, 2018, 40(12): 2461-2474.
表1
2000—2015年中国三类旅游企业总体Malmquist生产率指数及其分解"
时段 | 景区 | 星级酒店 | 旅行社 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
RMMI | RPTE | RSE | RTP | RMMI | RPTE | RSE | RTP | RMMI | RPTE | RSE | RTP | |
2000—2001 | 0.912 | 0.959 | 0.966 | 0.984 | 1.120 | 1.079 | 1.034 | 1.003 | 1.080 | 1.012 | 1.198 | 0.890 |
2001—2002 | 1.221 | 1.055 | 1.156 | 1.001 | 0.964 | 0.954 | 1.008 | 1.002 | 1.137 | 1.032 | 1.058 | 1.041 |
2002—2003 | 0.864 | 0.894 | 0.811 | 1.192 | 0.960 | 0.931 | 0.947 | 1.089 | 0.895 | 0.900 | 0.943 | 1.055 |
2003—2004 | 0.973 | 0.931 | 1.045 | 0.999 | 1.139 | 1.052 | 1.057 | 1.024 | 1.410 | 1.237 | 1.102 | 1.035 |
2004—2005 | 0.997 | 1.129 | 0.887 | 0.996 | 1.161 | 1.094 | 1.047 | 1.014 | 1.113 | 1.044 | 1.018 | 1.048 |
2005—2006 | 0.896 | 0.930 | 1.097 | 0.879 | 1.016 | 0.996 | 1.017 | 1.002 | 1.092 | 0.969 | 1.043 | 1.080 |
2006—2007 | 0.956 | 0.894 | 1.062 | 1.007 | 0.987 | 0.988 | 1.001 | 0.999 | 1.046 | 1.019 | 1.019 | 1.008 |
2007—2008 | 1.289 | 1.232 | 1.046 | 0.999 | 1.100 | 1.083 | 1.015 | 1.000 | 0.939 | 0.931 | 0.977 | 1.032 |
2008—2009 | 1.012 | 1.021 | 0.992 | 0.998 | 1.032 | 1.023 | 1.007 | 1.001 | 1.107 | 1.036 | 1.018 | 1.049 |
2009—2010 | 1.070 | 1.187 | 0.902 | 0.999 | 1.064 | 1.029 | 0.995 | 1.040 | 1.731 | 0.947 | 0.999 | 1.831 |
2010—2011 | 1.114 | 1.393 | 0.799 | 0.999 | 1.111 | 1.070 | 1.032 | 1.007 | 1.011 | 0.965 | 1.047 | 1.002 |
2011—2012 | 1.041 | 0.973 | 1.069 | 0.999 | 1.018 | 1.005 | 1.012 | 1.000 | 1.136 | 1.100 | 1.032 | 1.001 |
2012—2013 | 1.054 | 1.006 | 1.048 | 0.999 | 0.880 | 0.934 | 0.941 | 1.001 | 0.927 | 0.879 | 0.992 | 1.063 |
2013—2014 | 0.953 | 0.958 | 0.995 | 1.000 | 0.920 | 0.966 | 0.948 | 1.003 | 1.042 | 1.014 | 1.011 | 1.016 |
2014—2015 | 0.992 | 0.917 | 1.082 | 1.000 | 0.949 | 0.958 | 0.987 | 1.004 | 1.040 | 1.016 | 1.015 | 1.009 |
均值 | 1.017 | 1.023 | 0.992 | 1.002 | 1.025 | 1.009 | 1.003 | 1.012 | 1.098 | 1.003 | 1.030 | 1.063 |
表2
2000—2015年中国三类旅游企业全要素生产率指数及其分解"
地区 | 景区 | 星级酒店 | 旅行社 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
RMMI | RPTE | RSE | RTP | RMMI | RPTE | RSE | RTP | RMMI | RPTE | RSE | RTP | |
北京 | 0.996 | 1.026 | 0.961 | 1.010 | 1.009 | 1.012 | 0.978 | 1.020 | 1.095 | 1.004 | 1.064 | 1.024 |
天津 | 0.946 | 0.981 | 0.938 | 1.029 | 1.036 | 1.024 | 1.004 | 1.008 | 1.130 | 1.033 | 1.038 | 1.054 |
河北 | 0.939 | 0.975 | 0.953 | 1.009 | 0.951 | 0.949 | 0.989 | 1.013 | 1.039 | 0.959 | 1.023 | 1.058 |
山东 | 1.047 | 1.036 | 0.998 | 1.013 | 1.040 | 0.997 | 1.025 | 1.018 | 1.066 | 0.973 | 1.036 | 1.057 |
福建 | 1.062 | 1.045 | 1.009 | 1.008 | 1.040 | 1.019 | 1.020 | 1.001 | 1.113 | 1.008 | 1.055 | 1.047 |
上海 | 0.925 | 1.027 | 0.889 | 1.013 | 1.050 | 1.034 | 1.003 | 1.013 | 1.112 | 1.022 | 1.061 | 1.025 |
辽宁 | 1.022 | 1.054 | 0.963 | 1.008 | 1.009 | 0.990 | 1.004 | 1.016 | 1.155 | 1.020 | 1.055 | 1.073 |
江苏 | 1.037 | 1.039 | 0.986 | 1.013 | 1.023 | 1.010 | 0.993 | 1.020 | 1.055 | 0.978 | 1.066 | 1.012 |
浙江 | 0.990 | 0.945 | 1.034 | 1.014 | 1.019 | 1.015 | 0.995 | 1.008 | 1.107 | 0.986 | 1.055 | 1.064 |
广东 | 0.809 | 1.053 | 0.989 | 0.777 | 0.992 | 0.983 | 0.991 | 1.018 | 1.146 | 1.002 | 1.067 | 1.071 |
海南 | 1.045 | 1.023 | 1.015 | 1.006 | 1.058 | 1.022 | 1.019 | 1.016 | 1.141 | 1.026 | 1.035 | 1.076 |
东部均值 | 0.981 | 1.018 | 0.975 | 0.988 | 1.020 | 1.005 | 1.002 | 1.014 | 1.105 | 1.001 | 1.050 | 1.051 |
吉林 | 0.961 | 1.008 | 0.944 | 1.010 | 1.072 | 1.059 | 0.995 | 1.017 | 1.070 | 0.984 | 1.003 | 1.084 |
黑龙江 | 1.034 | 0.995 | 1.031 | 1.009 | 1.007 | 1.016 | 0.979 | 1.013 | 1.080 | 1.002 | 1.012 | 1.066 |
山西 | 1.044 | 1.085 | 0.952 | 1.011 | 0.986 | 0.970 | 1.007 | 1.009 | 1.096 | 0.991 | 1.019 | 1.086 |
内蒙古 | 1.065 | 1.007 | 1.050 | 1.008 | 0.993 | 0.981 | 1.001 | 1.010 | 1.057 | 0.981 | 0.999 | 1.078 |
安徽 | 1.204 | 1.091 | 1.100 | 1.004 | 1.039 | 1.025 | 1.004 | 1.009 | 1.070 | 0.977 | 1.023 | 1.071 |
江西 | 1.000 | 1.024 | 0.967 | 1.010 | 1.027 | 0.980 | 1.036 | 1.012 | 1.101 | 0.985 | 1.025 | 1.090 |
河南 | 1.152 | 1.048 | 1.086 | 1.012 | 0.999 | 0.989 | 1.000 | 1.010 | 1.064 | 0.982 | 1.014 | 1.068 |
湖北 | 1.029 | 1.034 | 0.982 | 1.014 | 1.022 | 1.015 | 0.996 | 1.012 | 1.088 | 1.030 | 1.036 | 1.020 |
湖南 | 1.251 | 1.180 | 1.057 | 1.003 | 1.003 | 0.989 | 1.004 | 1.010 | 1.148 | 1.002 | 1.046 | 1.095 |
广西 | 1.038 | 1.059 | 0.971 | 1.010 | 1.073 | 1.057 | 1.004 | 1.012 | 1.109 | 1.004 | 1.038 | 1.065 |
中部均值 | 1.075 | 1.052 | 1.012 | 1.009 | 1.022 | 1.008 | 1.002 | 1.011 | 1.088 | 0.994 | 1.022 | 1.072 |
重庆 | 0.921 | 0.901 | 1.011 | 1.011 | 1.032 | 1.004 | 1.015 | 1.012 | 1.172 | 1.044 | 1.064 | 1.054 |
四川 | 1.015 | 1.029 | 0.976 | 1.010 | 1.010 | 1.006 | 0.991 | 1.013 | 1.105 | 1.016 | 1.012 | 1.074 |
贵州 | 0.992 | 1.035 | 0.945 | 1.014 | 1.028 | 0.993 | 1.024 | 1.010 | 1.115 | 1.021 | 1.023 | 1.067 |
云南 | 1.022 | 0.965 | 1.047 | 1.011 | 0.999 | 0.995 | 0.991 | 1.013 | 1.155 | 1.047 | 1.049 | 1.052 |
陕西 | 1.151 | 1.072 | 1.063 | 1.010 | 1.050 | 1.022 | 1.016 | 1.011 | 1.055 | 0.975 | 1.007 | 1.074 |
甘肃 | 0.965 | 0.966 | 0.987 | 1.011 | 1.007 | 0.989 | 1.007 | 1.011 | 1.063 | 1.014 | 0.989 | 1.061 |
青海 | 0.881 | 0.940 | 0.925 | 1.014 | 1.158 | 1.167 | 0.984 | 1.009 | 1.093 | 1.039 | 0.969 | 1.085 |
宁夏 | 0.999 | 1.018 | 0.969 | 1.013 | 1.017 | 0.993 | 1.012 | 1.012 | 1.112 | 1.007 | 1.016 | 1.087 |
新疆 | 1.082 | 1.076 | 0.993 | 1.013 | 1.010 | 0.994 | 1.001 | 1.015 | 1.061 | 0.997 | 1.005 | 1.059 |
西部均值 | 1.000 | 0.999 | 0.990 | 1.012 | 1.034 | 1.017 | 1.004 | 1.012 | 1.103 | 1.018 | 1.014 | 1.068 |
全国均值 | 1.017 | 1.023 | 0.992 | 1.002 | 1.025 | 1.009 | 1.003 | 1.012 | 1.099 | 1.003 | 1.030 | 1.063 |
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