随着经济的快速增长和社会生产的顺利进行，物流活动也在日益扩大，同时伴随着的还有对生态环境的巨大压力。为了降低环境污染，减少资源消耗，实现长期可持续发展，发展绿色物流已是刻不容缓。“丝绸之路经济带”和“一带一路”倡议的提出给西北地区物流发展提出更深层次的要求，西北地区物流必须转变发展方式，向绿色化转型。对我国西北地区绿色物流发展水平进行评价研究，有利于客观认识其绿色物流发展水平，把握其绿色物流发展动态，为西北地区绿色物流发展水平的提高提供一定的决策依据。

本文首先对国内外绿色物流、区域物流、物流发展水平评价研究现状进行了梳理，并对绿色物流、区域物流、区域绿色物流相关概念以及绿色发展理论、数据挖掘理论进行了阐述，为后续研究的展开奠定了基础。之后根据区域物流、绿色物流概念及区域绿色物流发展影响因素，将评价指标体系划分为绿色物流发展环境、绿色物流供应能力、绿色物流需求水平、绿色物流发展潜力四个准则层和经济环境、生态环境、基础设施、服务能力、产业规模、营运效率、绿色消费七个因素层。在借鉴与参照现有研究成果的基础上对各因素层指标进行选择，并运用相关分析法和粗糙集法对指标进行了筛选，构建了西北地区绿色物流发展水平评价指标体系。运用基于加速遗传的投影寻踪法，从时间维度和空间维度对2011-2019年西北地区绿色物流发展水平进行评价。结果发现西北地区绿色物流发展水平稳步提升，但依然存在区域绿色物流发展不均衡、绿色物流发展环境存在短板、绿色物流供应能力不足、绿色物流需求水平较低、绿色物流发展潜力有待挖掘等问题。针对上述问题，从加强区域物流合作关系、区别管理优劣势区域、建立良好生态环境、大力发展区域经济、提高物流服务能力、完善物流基础设施建设、扩大物流需求规模、提高物流营运效率、降低绿色物流消费等方面提出了西北地区绿色物流发展建议。

With the rapid economic growth and the smooth progress of social production, logistics activities are also expanding, accompanied by great pressure on the ecological environment. In order to reduce environmental pollution, reduce resource consumption and achieve long-term sustainable development, it is urgent to develop green logistics. The proposal of the Silk Road Economic Belt and the Belt and Road Initiative puts forward deeper requirements for the development of logistics in the northwest region. The logistics in the northwest region must change its development mode and transform to green. The evaluation and research on the development level of green logistics in Northwest China is conducive to the objective understanding of its development level of green logistics, the grasp of its development trend of green logistics certain decision-making basis for the improvement of the development level of green logistics in Northwest China.

This paper first reviews the research status of green logistics, regional logistics and logistics development level evaluation at home and abroad, and expounds the related concepts of green logistics, regional logistics, regional green logistics, green development theory and data mining theory. Then, according to the concepts of regional logistics, green logistics and the influencing factors of regional green logistics development, the evaluation index system is divided into four criteria layers, namely, green logistics development environment, green logistics supply capacity, green logistics demand level and green logistics development potential, and seven factors layers, namely, economic environment, ecological environment, infrastructure, service capacity, industrial scale, operational efficiency and green consumption. On the basis of drawing on and referring to the existing research results, the indicators of each factor level are selected, and the indicators are screened by using the correlation analysis method and rough set method, and the evaluation index system of green logistics development level in Northwest China is constructed. Based on the accelerated genetic projection pursuit method, the development level of green logistics in Northwest China from 2011 to 2019 was evaluated from the time dimension and space dimension. The results show that the development level of green logistics in Northwest China has steadily improved, but there are still problems such as unbalanced development of regional green logistics, short board of green logistics development environment, insufficient supply capacity of green logistics, low demand level of green logistics, and untapped development potential of green logistics. In view of the above problems, this paper puts forward some suggestions for the development of green logistics in northwest China from the aspects of strengthening inter-provincial logistics cooperation, distinguishing advantages and disadvantages of management, establishing a good ecological environment, vigorously developing regional economy, improving logistics service ability, perfecting logistics infrastructure construction, expanding logistics demand scale, improving logistics operation efficiency and reducing green logistics consumption.

[1]Aldakhil A M, Nassani A A, Awan U, et al. Determinants of green logistics in BRICS countries: An integrated supply chain model for green business[J]. Journal of Cleaner Production, 2018, 195(05): 861-868.

[2]Ali S S , Kaur R , F Ersöz, et al. Measuring carbon performance for sustainable green supply chain practices: a developing country scenario[J]. Central European Journal of Operations Research, 2020,28(04):1389-1416.

[3]Agrawal S , Singh R K , Murtaza Q . Prioritizing critical success factors for reverse logistics implementation using fuzzy-TOPSIS methodology[J]. Journal of Industrial Engineering International, 2016, 12(01):15-27.

[4]Euchi J, Bouzidi D, Bouzid Z . Interpretive structural modeling technique to analyze the interactions between the factors influencing the performance of the reverse logistics chain[J]. Global Journal of Flexible Systems Management, 2018, 20(01):1-13.

[5]Du W , Zhou X , Wang C , et al. Research on ecological logistics evaluation model based on BCPSGA-BP neural network[J]. Multimedia Tools & Applications, 2019,78(21):30271-30295.

[6]王娟娟,杜佳麟.“一带一路”区域绿色物流体系构建及路径探索[J].中国流通经济,2017,31(06):27-36.

[7]刘战豫,孙夏令,薛金礼.我国绿色物流发展面临的突出问题及应对策略[J].经济纵横,2018(05):97-101.

[8]姜旭,王雅琪,胡雪芹.以四方联动机制推动我国绿色物流发展——日本绿色物流经验与启示[J].环境保护,2019,47(24):62-67.

[9]成灶平,张小洪.农产品物流企业绿色物流关键影响因素实证研究[J].中国农业资源与区划,2020,41(05):43-49.

[10]郭跃,张永新.电商绿色物流生态体系评价模型研究[J].经济问题,2019(02):48-57.

[11]张瑞,孙夏令.中国省域物流业绿色全要素生产率的演进及溢出[J].商业研究,2020(03):29-38.

[12]Lan S L , Zhong R Y . Coordinated development between metropolitan economy and logistics for sustainability[J]. Resources Conservation & Recycling, 2016,128(08):345-354.

[13]Munim Z H , Schramm H J . The impacts of port infrastructure and logistics performance on economic growth: the mediating role of seaborne trade[J]. Journal of Shipping & Trade, 2018, 3(01):1-2.

[14]Ekici S O,Kabak O,Ulengin F. Linking to compete: Logistics and global competitiveness interaction[J]. Transport Policy, 2016, 48(05):117-128.

[15]Srisawat P , Kronprasert N , Arunotayanun K . Development of decision support system for evaluating spatial efficiency of regional transport logistics[J]. Transportation Research Procedia, 2017, 25(05):4836-4855.

[16]傅为忠,李孟雨.基于改进ISM模型的区域物流与区域经济协同发展影响因素分析[J].管理现代化,2016,36(03):23-25.

[17]郭湖斌,邓智团.长江经济带区域物流与区域经济耦合协调发展研究[J].当代经济管理,2019,41(05):41-48.

[18]王博,祝宏辉,刘林.我国“一带一路”沿线区域物流效率综合评价——基于三阶段DEA模型[J].华东经济管理,2019,33(05):76-82.

[19]张晓锋,曹占伟.丝绸之路经济带中国段物流竞争力评价及金融支持研究[J].商业经济研究,2020(23):111-113.

[20]徐晓敏,谷晓燕.基于DEA-熵权法的区域物流环境综合评价模型[J].公路交通科技,2021,38(05):144-151.

[21]Özceylan E, Çetinkaya C, Erbaş M and Kabak M. Logistic performance evaluation of provinces in Turkey: A GIS-based multi-criteria decision analysis[J]. Transportation Research Part A: Policy and Practice,2016, 94(09): 323-337.

[22]Rodriguez-Aguilar R . Proposal for a comprehensive environmental key performance index of the green supply chain[J]. Mobile Networks and Applications, 2020,25(06):2161-2171.

[23]Ozmen M . Logistics competitiveness of OECD countries using an improved TODIM method[J]. Sadhana, 2019, 44(5):108-109.

[24]Yildirim B F , Mercangoz B A . Evaluating the logistics performance of OECD countries by using fuzzy AHP and ARAS-G[J]. Eurasian Economic Review, 2020, 10(01):27-45.

[25]弓宪文.基于信息熵的区域物流业综合评价实证研究[J].铁道运输与经济,2016,38(01):14-20.

[26]朱芳阳,谭保华,王婷婷.生态位视角下区域物流产业竞争力评价——以"一带一路"重点省份为例[J].经济与管理,2019,33(01):30-35.

[27]周泰,袁波.基于TOPDIS的区域物流发展水平提升方法研究[J].工业技术经济,2016,35(11):73-77.

[28]刘叶,黄菲,钱康.长江经济带物流水平评价及空间关联格局分析[J].管理现代化,2017,37(01):26-28.

[29]魏国辰,冀雪华.京津冀地区物流发展水平综合评价[J].商业经济研究,2019(16):101-103.

[30]杜罟,杨向飞.我国西部地区区域物流竞争力分析[J].商业经济研究,2020(19):151-154.

[31]陈蓝荪.绿色物流的双绿特性构建研究[J].中国流通经济,2008(11):17-20.

[32]谢泗薪,王文峰.绿色物流路径:物流绿色化改造的战略选择[J].中国流通经济,2010,24(05):15-18.

[33]王长琼.绿色物流(第2版)[M].北京:中国物资出版社,2011:2-8.

[34]王剑涛,贾勇.我国绿色物流发展对策[J].物流技术,2013,32(05):59-62.

[35]Robeson J F, Copacino W C. The Logistics Handbook[M].New York: Free Press,1994:3-13.

[36]靳伟.最新物流讲座[M].北京:中国物质出版社,2003:81-85.

[37]董千里.高级物流学[M].北京:人民交通出版社,2006:117-119.

[38]王伟,封学军,黄莉.区域物流系统演化机理及其布局优化[M].北京:电子工业出版社,2011:13-15.

[39]张良卫,黄建明,曾亮兵.区域物流学——发展与管理[M].武汉:武汉大学出版社,2012:1-10.

[40]Stenfan K, Jozef M. Using the Safety Method and the FMEA Method for Evaluation of Constraints in Logistics Chain[M].Procedia Engineering, 2018: 33-35.

[41]郭强.可持续发展思想与可持续发展政策[J].社会治理,2019(01):26-34.

[42]胡江霞.生态经济学若干理论问题研究综述[J].西部经济管理论坛,2019,30(05):66-72.

[43]李英姿.生态经济与循环经济[J].求索,2007(05):71-73.

[44]韩璞庚,陈瑶.生态理性的出场语境、本质内涵及当代价值——基于生态伦理学视角[J].学术界,2021(11):119-124.

[45]周涛,陆惠玲,任海玲,霍兵强.基于粗糙集的属性约简算法综述[J].电子学报,2021,49(07):1439-1449.

[46]翟俊海,张垚,王熙照.相容粗糙模糊集模型[J].山东大学学报(理学版),2014,49(08):73-79.

[47]郭梅,朱金福.基于模糊粗糙集的物流服务供应链绩效评价[J].系统工程,2007(07):48-52.

[48]周戎星,陈梦璐,金菊良,崔毅,周玉良,宁少尉.基于文献计量分析的投影寻踪法在水问题中应用的研究进展[J].灌溉排水学报,2021,40(04):137-146.

[49]周振民,管财,范秀,李延峰.基于投影寻踪聚类模型的水务系统评价——以郑州市为例[J].中国农村水利水电,2016(01):16-20.

[50]金菊良,杨晓华,丁晶.标准遗传算法的改进方案——加速遗传算法[J].系统工程理论与实践,2001(04):8-13.

[51]苏屹,于跃奇.基于加速遗传算法投影寻踪模型的企业可持续发展能力评价研究[J].运筹与管理,2018,27(05):130-139.

[52]姜玮.区域低碳物流能力评价研究[D].江西:华东交通大学,2016.

[53]胡慧慧.城市物流绿色度评价研究[D].安徽:合肥工业大学,2016.

[54]狄安安.基于模糊物元的长江三角洲区域绿色物流水平研究[D].江西:华东交通大学,2018.

[55]迟泽航.区域低碳物流竞争力差异分析研究[D].吉林:延边大学,2018.

[56]汪亚丽.基于模糊物元的京津冀绿色物流水平分析[D].山西:山西大学,2019.

[57]郑金.江西省区域绿色物流发展的评价研究[D].江西:南昌大学,2019.

[58]赵蕾.区域绿色物流绩效评价及提升策略研究[D].山东:山东理工大学,2020.

[59]伍莉.江西省绿色物流发展对策研究[D].江西:南昌大学,2011.

[60]李丽.京津冀低碳物流能力评价指标体系构建——基于模糊物元法的研究[J].现代财经(天津财经大学学报),2013,33(02):72-81.

[61]汪欣.区域物流低碳化发展机理及路径研究[D].天津:天津大学,2017.

[62]吴昊龙,杨金云,蔺士文,谢桂芳,开吉.基于熵权-TOPSIS的综合低碳物流能力评价研究——以徐州市为例[J].物流工程与管理,2019,41(03):15-17.

[63]江纯霞.基于DPSIR模型的城市低碳物流竞争力评价研究[D].安徽:安徽理工大学,2020.

[64]周泰.低碳视角下区域物流与生态环境协调发展研究[J].统计与信息论坛,2021,36(06):62-72.

[65]康浩然.考虑属性间关联的区域低碳物流发展水平评价研究[D].河北:河北大学,2021.

[66]邢晓梦.大连市城市绿色物流与经济增长协同发展研究[D].辽宁:大连交通大学,2020.

[67]张林强.区域绿色物流绩效评价及影响因素分析[D].江西:江西财经大学,2017.

[68]刘旻哲.内陆型城市物流低碳化发展指数研究[D].河南:郑州大学,2015.

[69]田洪燕.绿色物流绩效评价及其影响因素分析[D].江西:江西财经大学,2018.

[70]王娜.区域物流与生态环境协调发展研究[D].天津:天津理工大学,2018.

[71]兰兰.区域绿色物流能力评介研究[D].辽宁:大连理工大学,2018.

[72]苏俊英.武汉城市圈两型社会建设下的绿色物流发展研究[D].湖北:武汉理工大学,2009.

[73]张昆,迟国泰.基于相关分析-粗糙集理论的生态评价指标体系构建[J].系统工程学报,2012,27(01):119-128.

[74]于惊涛,张艳鸽.中国绿色增长评价指标体系的构建与实证研究[J].工业技术经济,2016,35(03):109-117.

[75]刘媛媛,陶长琪.中国31省份数字贸易发展水平测算分析——基于RAGA投影寻踪模型[J].价格月刊,2021(04):69-76.