绿色施工条件下铁路弃渣场的综合效益分析
|
摘要
[目的]研究铁路弃渣场施工"资源效率—环境效率—经济效率"的"三位一体动态施工综合效益率",为"四节一环保"应用于铁道弃渣场施工带来的水土保持及长远效益提供依据。[方法]基于绿色施工理念和最大化水土保持带来的多维效益,以传统Malmquist模型为基础,以弃渣场施工为研究主体,引入施工所致的非期望产出,充分考虑资源的投入利用率以及动态投入的长远效应,构建铁路弃渣场施工Malmquist模型(QMPI)。[结果]QMPI模型充分解释了铁路弃渣场"资源效率—环境效率—经济效率"三位一体的动态施工综合效益。基于DEA-SOLVER PRO软件平台进行了QMPI施工全要素生产率及其分解效率的测算,得出了各要素的冗余率。[结论]施工综合效益率与资效效率(REC)和环效效率(EEC)呈整体正相关,即绿色施工会促进施工综合效益率。同时,提升"四节"会促进"一环保",从而共同作用提高施工效益。
[Objective]To study the trinity dynamic construction comprehensive efficiency rate of "resource efficiency-environment efficiency-economic efficiency" in the construction of railway dregs field,in order to provide the basis for the study of soil and water conservation and long-term benefit brought by the application of "four sections and one environmental protection" in the construction of railway dregs field.[Methods]The green construction concept and the multidimensional benefits of soil and water conservation was considered.The traditional Malmquist model was employed as a foundation.The construction of dregs field was taken as the research subject,the Malmquist model(QMPI) for construction of railway dregs field was established by introducing the unexpected production caused by construction,with the fully consideration of the utilization of resources and the long-term effects of dynamic investment.[Results]QMPI fully explained the dynamic construction comprehensive benefits of the "resource efficiency-environmental efficiency-economic efficiency" of the railway dregs field.The construction total factor productivity and decomposition efficiency of QMPI were calculated based on the DEA-SOLVER PRO software platform.Meanwhile,the redundancy rate of each element was analyzed.[Conclusion]The construction comprehensive efficiency rate is positively correlated with resource efficiency change(REC) and environment efficiency change(EEC),that is,green construction will promote the comprehensive benefit rate of construction.At the same time,the promotion of the "four savings" will promote "one environmental protection" and thus work together for higher construction benefits.
[Objective]To study the trinity dynamic construction comprehensive efficiency rate of "resource efficiency-environment efficiency-economic efficiency" in the construction of railway dregs field,in order to provide the basis for the study of soil and water conservation and long-term benefit brought by the application of "four sections and one environmental protection" in the construction of railway dregs field.[Methods]The green construction concept and the multidimensional benefits of soil and water conservation was considered.The traditional Malmquist model was employed as a foundation.The construction of dregs field was taken as the research subject,the Malmquist model(QMPI) for construction of railway dregs field was established by introducing the unexpected production caused by construction,with the fully consideration of the utilization of resources and the long-term effects of dynamic investment.[Results]QMPI fully explained the dynamic construction comprehensive benefits of the "resource efficiency-environmental efficiency-economic efficiency" of the railway dregs field.The construction total factor productivity and decomposition efficiency of QMPI were calculated based on the DEA-SOLVER PRO software platform.Meanwhile,the redundancy rate of each element was analyzed.[Conclusion]The construction comprehensive efficiency rate is positively correlated with resource efficiency change(REC) and environment efficiency change(EEC),that is,green construction will promote the comprehensive benefit rate of construction.At the same time,the promotion of the "four savings" will promote "one environmental protection" and thus work together for higher construction benefits.
引文
[1]石杨子.成兰铁路弃渣场生态修复技术方案初步研究[D].成都:西南交通大学,2014.
[2]朱艳玲.山丘区铁路工程弃渣场分类及防护措施[J].安徽农业科学,2012,40(10):6142-6144.
[3]王明慧,蒋树平,张桥,等.山区高速铁路弃渣场选址分析[J].铁道工程学报,2013,30(4):18-20.
[4]王冠琪.铁路工程沟道弃渣场选址及工程措施布设分析[J].四川建筑,2015,35(4):133-135.
[5]鲍学英,杨姝,王起才.基于灰色聚类法的铁路绿色施工等级评价研究[J].铁道工程学报,2016,33(7):106-110.
[6]杨立中,贺玉龙,熊春梅,等.绿色铁路理论及评价[M].成都:西南交大出版社,2014.
[7]戚湧,张明,李太生.基于Malmquist指数的江苏创新资源整合共享效率评价[J].中国软科学,2013(10):101-110.
[8]潘丹,应瑞瑶.中国农业生态效率评价方法与实证:基于非期望产出的SBM模型分析[J].生态学报,2013,33(12):3837-3845.
[9]郭亚军.综合评价理论、方法与应用[M].北京:科学出版社,2002:44-51.
[10]Lv Wendeng,Hong Xiaoxin,Fang Kuangnan.Chinese regional energy efficiency change and its determinants analysis:Malmquist index and Tobit model[J].Annals of Operations Research,2015,228(1):9-22.
[11]Jia Zhengyuan,Li Chuancai,Yuan Di.Analysis of total factor energy efficiency of manufacturing Industry in Shandong Province based on Malmquist Index Empirical study[J].Applied Mechanics&Materials,2011,84/85:747-751.
[12]Hadad M D,Hall M J B,Kenjegalieva K A,et al.Productivity changes and risk management in Indonesian banking:A Malmquist analysis[J].Applied Financial Economics,2011,21(12):847-861.
[13]Oh D H.A global Malmquist-Luenberger productivity index[J].Journal of Productivity Analysis,2010,34(3):183-197.
[14]Tone K.A slacks-based measure of efficiency in data envelopment analysis[J].European Journal of Operational Research,2001,130(3):498-509.
[15]张建辉.基于定向技术距离函数和Malmquist指数的全要素生产率研究[D].成都:四川大学,2005.
[2]朱艳玲.山丘区铁路工程弃渣场分类及防护措施[J].安徽农业科学,2012,40(10):6142-6144.
[3]王明慧,蒋树平,张桥,等.山区高速铁路弃渣场选址分析[J].铁道工程学报,2013,30(4):18-20.
[4]王冠琪.铁路工程沟道弃渣场选址及工程措施布设分析[J].四川建筑,2015,35(4):133-135.
[5]鲍学英,杨姝,王起才.基于灰色聚类法的铁路绿色施工等级评价研究[J].铁道工程学报,2016,33(7):106-110.
[6]杨立中,贺玉龙,熊春梅,等.绿色铁路理论及评价[M].成都:西南交大出版社,2014.
[7]戚湧,张明,李太生.基于Malmquist指数的江苏创新资源整合共享效率评价[J].中国软科学,2013(10):101-110.
[8]潘丹,应瑞瑶.中国农业生态效率评价方法与实证:基于非期望产出的SBM模型分析[J].生态学报,2013,33(12):3837-3845.
[9]郭亚军.综合评价理论、方法与应用[M].北京:科学出版社,2002:44-51.
[10]Lv Wendeng,Hong Xiaoxin,Fang Kuangnan.Chinese regional energy efficiency change and its determinants analysis:Malmquist index and Tobit model[J].Annals of Operations Research,2015,228(1):9-22.
[11]Jia Zhengyuan,Li Chuancai,Yuan Di.Analysis of total factor energy efficiency of manufacturing Industry in Shandong Province based on Malmquist Index Empirical study[J].Applied Mechanics&Materials,2011,84/85:747-751.
[12]Hadad M D,Hall M J B,Kenjegalieva K A,et al.Productivity changes and risk management in Indonesian banking:A Malmquist analysis[J].Applied Financial Economics,2011,21(12):847-861.
[13]Oh D H.A global Malmquist-Luenberger productivity index[J].Journal of Productivity Analysis,2010,34(3):183-197.
[14]Tone K.A slacks-based measure of efficiency in data envelopment analysis[J].European Journal of Operational Research,2001,130(3):498-509.
[15]张建辉.基于定向技术距离函数和Malmquist指数的全要素生产率研究[D].成都:四川大学,2005.