Journal of Northeastern University(Natural Science) ›› 2025, Vol. 46 ›› Issue (4): 115-123.DOI: 10.12068/j.issn.1005-3026.2025.20230287
• Resources & Civil Engineering • Previous Articles
Xi-jing QI, Meng-xing ZHANG, Sheng-jin ZHANG
Received:
2023-10-11
Online:
2025-04-15
Published:
2025-07-01
CLC Number:
Xi-jing QI, Meng-xing ZHANG, Sheng-jin ZHANG. Evaluation and Optimization of Green Development Efficiency of Construction Industry in China[J]. Journal of Northeastern University(Natural Science), 2025, 46(4): 115-123.
指标类型 | 一级指标 | 二级指标 |
---|---|---|
投入 | 人员投入 | 建筑业从业人员数 |
材料投入 | 建筑业钢材、水泥、木材、玻璃、铝材消耗量等 | |
机械投入 | 年末自有施工机械设备总功率、年末自有施工机械设备台数等 | |
期望产出 | 实物产出 | 房屋竣工面积、房屋施工面积、房屋新开工面积等 |
经济效益 | 建筑业总产值、建筑业利税总额、建筑业利润总额、建筑业税金总额等 | |
非期望产出 | 污染强度 | 建筑业CO2排放量 |
Table 1 Preliminary selection of evaluation indicators
指标类型 | 一级指标 | 二级指标 |
---|---|---|
投入 | 人员投入 | 建筑业从业人员数 |
材料投入 | 建筑业钢材、水泥、木材、玻璃、铝材消耗量等 | |
机械投入 | 年末自有施工机械设备总功率、年末自有施工机械设备台数等 | |
期望产出 | 实物产出 | 房屋竣工面积、房屋施工面积、房屋新开工面积等 |
经济效益 | 建筑业总产值、建筑业利税总额、建筑业利润总额、建筑业税金总额等 | |
非期望产出 | 污染强度 | 建筑业CO2排放量 |
指标类型 | 一级指标 | 二级指标 |
---|---|---|
投入 | 人员投入 | X1建筑业从业人员数 |
材料投入 | X2建筑业钢材和水泥消耗总量 | |
机械投入 | X3年末自有施工机械设备总功率 | |
资金投入 | X4建筑业固定资产投资额 | |
技术投入 | X5科学技术支出占公共预算支出的比重 | |
期望产出 | 实物产出 | Y1房屋竣工面积 |
经济效益 | Y2建筑业总产值 | |
社会效益 | Y3常住人口城镇化率 | |
非期望产出 | 污染强度 | Z1建筑业CO2排放量 |
Table 2 Selection and interpretation of evaluation indicators
指标类型 | 一级指标 | 二级指标 |
---|---|---|
投入 | 人员投入 | X1建筑业从业人员数 |
材料投入 | X2建筑业钢材和水泥消耗总量 | |
机械投入 | X3年末自有施工机械设备总功率 | |
资金投入 | X4建筑业固定资产投资额 | |
技术投入 | X5科学技术支出占公共预算支出的比重 | |
期望产出 | 实物产出 | Y1房屋竣工面积 |
经济效益 | Y2建筑业总产值 | |
社会效益 | Y3常住人口城镇化率 | |
非期望产出 | 污染强度 | Z1建筑业CO2排放量 |
指标 | X1 | X2 | X3 | X4 | X5 | Y1 | Y2 | Y3 | Z1 |
---|---|---|---|---|---|---|---|---|---|
X1 | 1 | 0.578* | 0.795** | 0.924** | 0.591* | 0.887** | 0.969** | 0.957** | 0.932** |
X2 | 0.578* | 1 | 0.668* | 0.544* | 0.543* | 0.696* | 0.614* | 0.557* | 0.723* |
X3 | 0.795** | 0.668* | 1 | 0.617* | 0.352 | 0.905** | 0.789** | 0.687** | 0.812** |
X4 | 0.924** | 0.544* | 0.617* | 1 | 0.658* | 0.749** | 0.940** | 0.985** | 0.917* |
X5 | 0.591* | 0.543* | 0.352 | 0.658* | 1 | 0.576* | 0.535* | 0.610* | 0.554* |
Y1 | 0.887** | 0.696* | 0.905** | 0.749** | 0.576* | 1 | 0.902** | 0.816** | 0.913** |
Y2 | 0.969** | 0.614* | 0.789** | 0.940** | 0.535* | 0.902** | 1 | 0.967** | 0.924** |
Y3 | 0.957** | 0.557* | 0.687** | 0.985** | 0.610* | 0.816** | 0.967** | 1 | 0.917* |
Z1 | 0.932** | 0.723* | 0.812** | 0.917* | 0.554* | 0.913** | 0.924** | 0.917* | 1 |
Table 3 Correlation coefficient of Pearson between input and output variables
指标 | X1 | X2 | X3 | X4 | X5 | Y1 | Y2 | Y3 | Z1 |
---|---|---|---|---|---|---|---|---|---|
X1 | 1 | 0.578* | 0.795** | 0.924** | 0.591* | 0.887** | 0.969** | 0.957** | 0.932** |
X2 | 0.578* | 1 | 0.668* | 0.544* | 0.543* | 0.696* | 0.614* | 0.557* | 0.723* |
X3 | 0.795** | 0.668* | 1 | 0.617* | 0.352 | 0.905** | 0.789** | 0.687** | 0.812** |
X4 | 0.924** | 0.544* | 0.617* | 1 | 0.658* | 0.749** | 0.940** | 0.985** | 0.917* |
X5 | 0.591* | 0.543* | 0.352 | 0.658* | 1 | 0.576* | 0.535* | 0.610* | 0.554* |
Y1 | 0.887** | 0.696* | 0.905** | 0.749** | 0.576* | 1 | 0.902** | 0.816** | 0.913** |
Y2 | 0.969** | 0.614* | 0.789** | 0.940** | 0.535* | 0.902** | 1 | 0.967** | 0.924** |
Y3 | 0.957** | 0.557* | 0.687** | 0.985** | 0.610* | 0.816** | 0.967** | 1 | 0.917* |
Z1 | 0.932** | 0.723* | 0.812** | 0.917* | 0.554* | 0.913** | 0.924** | 0.917* | 1 |
年份 | ML | EC | TC |
---|---|---|---|
均值 | 1.017 | 1.000 | 1.017 |
2008~2009 | 1.014 | 1.000 | 1.014 |
2009~2010 | 1.006 | 1.000 | 1.006 |
2010~2011 | 0.987 | 1.000 | 0.987 |
2011~2012 | 1.023 | 1.000 | 1.023 |
2012~2013 | 1.075 | 1.000 | 1.075 |
2013~2014 | 0.981 | 1.000 | 0.981 |
2014~2015 | 1.081 | 1.000 | 1.081 |
2015~2016 | 0.981 | 1.000 | 0.981 |
2016~2017 | 1.015 | 1.000 | 1.015 |
2017~2018 | 0.976 | 1.000 | 0.976 |
2018~2019 | 1.003 | 1.000 | 1.003 |
2019~2020 | 1.035 | 1.000 | 1.035 |
2020~2021 | 1.046 | 1.000 | 1.046 |
Table 4 Time series calculation results of average green total factor development efficiency in the construction industry
年份 | ML | EC | TC |
---|---|---|---|
均值 | 1.017 | 1.000 | 1.017 |
2008~2009 | 1.014 | 1.000 | 1.014 |
2009~2010 | 1.006 | 1.000 | 1.006 |
2010~2011 | 0.987 | 1.000 | 0.987 |
2011~2012 | 1.023 | 1.000 | 1.023 |
2012~2013 | 1.075 | 1.000 | 1.075 |
2013~2014 | 0.981 | 1.000 | 0.981 |
2014~2015 | 1.081 | 1.000 | 1.081 |
2015~2016 | 0.981 | 1.000 | 0.981 |
2016~2017 | 1.015 | 1.000 | 1.015 |
2017~2018 | 0.976 | 1.000 | 0.976 |
2018~2019 | 1.003 | 1.000 | 1.003 |
2019~2020 | 1.035 | 1.000 | 1.035 |
2020~2021 | 1.046 | 1.000 | 1.046 |
地区 | ML | EC | TC | 地区 | ML | EC | TC |
---|---|---|---|---|---|---|---|
上海 | 1.248 | 1.066 | 1.170 | 四川 | 1.073 | 1.008 | 1.065 |
湖北 | 1.213 | 1.095 | 1.107 | 甘肃 | 1.072 | 1.085 | 0.988 |
安徽 | 1.209 | 1.085 | 1.114 | 云南 | 1.066 | 1.070 | 0.997 |
天津 | 1.206 | 1.122 | 1.075 | 江苏 | 1.063 | 1.085 | 0.980 |
吉林 | 1.190 | 1.091 | 1.092 | 山东 | 1.045 | 1.039 | 1.005 |
陕西 | 1.187 | 1.083 | 1.096 | 福建 | 1.038 | 0.992 | 1.047 |
广东 | 1.178 | 1.141 | 1.032 | 辽宁 | 1.036 | 1.044 | 0.992 |
北京 | 1.134 | 1.089 | 1.041 | 山西 | 1.025 | 1.031 | 0.995 |
广西 | 1.115 | 1.102 | 1.012 | 贵州 | 1.025 | 1.045 | 0.980 |
青海 | 1.111 | 1.081 | 1.027 | 内蒙古 | 1.022 | 1.037 | 0.986 |
海南 | 1.099 | 1.018 | 1.080 | 江西 | 0.989 | 1.019 | 0.971 |
河南 | 1.093 | 1.051 | 1.041 | 黑龙江 | 0.961 | 0.936 | 1.027 |
宁夏 | 1.091 | 1.062 | 1.028 | 湖南 | 0.954 | 1.052 | 0.907 |
重庆 | 1.084 | 1.054 | 1.028 | 浙江 | 0.946 | 0.996 | 0.951 |
河北 | 1.077 | 1.041 | 1.035 | 新疆 | 0.902 | 0.968 | 0.932 |
Table 5 Calculation results of average green total factor development efficiency of the construction industry in
地区 | ML | EC | TC | 地区 | ML | EC | TC |
---|---|---|---|---|---|---|---|
上海 | 1.248 | 1.066 | 1.170 | 四川 | 1.073 | 1.008 | 1.065 |
湖北 | 1.213 | 1.095 | 1.107 | 甘肃 | 1.072 | 1.085 | 0.988 |
安徽 | 1.209 | 1.085 | 1.114 | 云南 | 1.066 | 1.070 | 0.997 |
天津 | 1.206 | 1.122 | 1.075 | 江苏 | 1.063 | 1.085 | 0.980 |
吉林 | 1.190 | 1.091 | 1.092 | 山东 | 1.045 | 1.039 | 1.005 |
陕西 | 1.187 | 1.083 | 1.096 | 福建 | 1.038 | 0.992 | 1.047 |
广东 | 1.178 | 1.141 | 1.032 | 辽宁 | 1.036 | 1.044 | 0.992 |
北京 | 1.134 | 1.089 | 1.041 | 山西 | 1.025 | 1.031 | 0.995 |
广西 | 1.115 | 1.102 | 1.012 | 贵州 | 1.025 | 1.045 | 0.980 |
青海 | 1.111 | 1.081 | 1.027 | 内蒙古 | 1.022 | 1.037 | 0.986 |
海南 | 1.099 | 1.018 | 1.080 | 江西 | 0.989 | 1.019 | 0.971 |
河南 | 1.093 | 1.051 | 1.041 | 黑龙江 | 0.961 | 0.936 | 1.027 |
宁夏 | 1.091 | 1.062 | 1.028 | 湖南 | 0.954 | 1.052 | 0.907 |
重庆 | 1.084 | 1.054 | 1.028 | 浙江 | 0.946 | 0.996 | 0.951 |
河北 | 1.077 | 1.041 | 1.035 | 新疆 | 0.902 | 0.968 | 0.932 |
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