青藏铁路对西藏各经济部门发展影响的定量评估

doi:10.7522/j.issn.1000-0240.2018.0313

冰川冻土 ›› 2018, Vol. 40 ›› Issue (5): 1047-1055.doi: 10.7522/j.issn.1000-0240.2018.0313

青藏铁路对西藏各经济部门发展影响的定量评估

杨吉萍¹, 钟方雷^1,2, 徐晓明³, 吴青柏³

1. 兰州大学经济学院, 甘肃兰州 730000;
2. 中国科学院西北生态环境资源研究院内陆河流域生态水文重点实验室, 甘肃兰州 730000;
3. 中国科学院西北生态环境资源研究院冻土工程国家重点实验室, 甘肃兰州 730000

收稿日期:2018-04-12 修回日期:2018-07-12 出版日期:2018-10-25 发布日期:2018-12-10
通讯作者: 钟方雷,E-mail:flzhong@lzb.ac.cn. E-mail:flzhong@lzb.ac.cn
作者简介:杨吉萍(1994-),女,甘肃金昌人,2016年在西北师范大学获学士学位,现为兰州大学在读硕士研究生,从事区域经济学研究.E-mail:yangjp16@lzu.edu.cn
基金资助:
国家自然科学基金重大项目“中国冰冻圈服务功能形成机理及其综合区划研究”第四课题“冻土和积雪的工程服役功能”（41690144）；国家自然科学基金项目（41571516）

Quantitative evaluation of the impact of the Qinghai-Tibet Railway on the development of various economic sectors in Tibet

YANG Jiping¹, ZHONG Fanglei^1,2, XU Xiaoming³, WU Qingbai³

1. School of Economic, Lanzhou University, Lanzhou 730000, China;
2. Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
3. State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environmental and Resources, Chinese Academy of Science, Lanzhou 730000, China

Received:2018-04-12 Revised:2018-07-12 Online:2018-10-25 Published:2018-12-10

摘要/Abstract

摘要： 青藏铁路对西藏经济发展影响重大，定量评估其对各经济部门发展的影响程度，是全面评价铁路交通基础设施效益、分析未来冰冻圈变化对线性工程及经济社会重大影响的基础。将灰色关联分析法与投入产出法相结合，既填补了关联度分析的黑箱式缺陷，又弥补了西藏投入产出调查缺乏长时间序列数据的问题，以此来认识青藏铁路对西藏经济发展的影响机理与路径。以2006-2016年统计数据为基础，采用灰色关联度模型计算青藏铁路与西藏各经济部门发展的灰色关联度值，表明铁路运输水平与西藏地区生产总值（GDP）、第三产业高度相关，其中与货运邮电业、住宿餐饮业两个部门关联度达到了0.9以上。在灰色关联度结果的基础上，运用西藏2012年投入产出表及投入产出模型计算铁路的直接作用，以及对各经济部门的间接波及作用，研究发现：青藏铁路建设及运营的劳动密集程度高，且通过灰色关联度较高行业的产品及服务影响其他行业，以直接作用、后向和前向波及作用、消费波及作用三种路径对区域经济的发展产生重要影响，扣除消费波及作用的总体贡献达到41.7亿元，相当于2012年西藏GDP的5.95%。由于铁路交通基础设施重要的直接作用及间接波及作用，建议在工程条件适宜地区加快铁路运输网络建设，同时，将工程设施的社会经济效益纳入冰冻圈服务功能核算中。

关键词: 青藏铁路, 西藏各经济部门, 灰色关联度模型, 投入产出模型, 定量评估

Abstract: Qinghai-Tibet Railway has a significant impact on Tibet's economic develop. Quantitative assess the correlation of the railway and the development of various economic sectors in Tibet is the basis of comprehensive evaluation of the benefit of railway transportation and is helpful to analyze the impact on linear engineering and economics by future cryosphere change. Combining the gray correlation analysis way with input-output way can fill the black box defect of the correlation degree analysis and make up the problem that the Tibet input-output survey lacks long time series data, and then to understand the influence mechanisms and path. Based on the Tibet's statistical data from 2006 through 2016, gray correlation degree has been evaluated through gray correlation model. It is revealed that Qinghai-Tibet Railway has played an important role in driving up the GDP and tertiary industry, especially in freight and postal service, as well as in lodging and catering industry, of which the gray correlation even overpass 0.9. Based on grey relational degree, through the Tibet's input-output table of 2012 and using input-output model, the direct and indirect effects between railway and economic sectors have been calculated. It was found that the construction and operation of Qinghai-Tibet Railway is larger labor intensive and labor consumption; other industries are affected by the related industries' products and services with higher gray degree; it serves the other correlative industry through "the directly-generated action", "the backward and forward wave actions" and "the consumption wave action and its effect" to promote the growth of economic, with the whole contribution of 417.08 million, accounting for 5.95 percent of Tibet's GDP in 2012, except the action of consumption wave. Based on the insistent demands of Tibet's development of economic and other social benefit, it is advised to accelerate the construction of Tibet railway transportation network deeply in suitable area. At the same time, when calculating the service function in cryosphere, it is necessary to comprehensively consider the huge social and economic benefits of cryosphere as a foundation of engineering facilities.

Key words: Qinghai-Tibet Railway, various economic sectors in Tibet, gray correlation model, input-output model, quantitative assessment

中图分类号:

F127

杨吉萍, 钟方雷, 徐晓明, 吴青柏. 青藏铁路对西藏各经济部门发展影响的定量评估[J]. 冰川冻土, 2018, 40(5): 1047-1055.

YANG Jiping, ZHONG Fanglei, XU Xiaoming, WU Qingbai. Quantitative evaluation of the impact of the Qinghai-Tibet Railway on the development of various economic sectors in Tibet[J]. Journal of Glaciology and Geocryology, 2018, 40(5): 1047-1055.

参考文献

[1] Xiao Cunde, Wang Shijin, Qin Dahe. A preliminary study on cryosphere service function and its value estimation[J]. Climate Change Research, 2016, 12(1):45-52.[效存德, 王世金, 秦大河. 冰冻圈服务功能及其价值评估初探[J]. 气候变化研究进展, 2016, 12(1):45-52.]
[2] Rietveld P, Nigkamp P. Transport infrastructure and regional development[M]//Polak J B, Heertje A. Analytical transport economics:an international perspective. Cheltenham:Edward Elgar Pub, 2000.
[3] Banister D, Berechman J. Transport investment and economic development[M]. London:UCL Press, 2000.
[4] Liu Shenglong, Hu Angang. Transport infrastructure and economic growth:perspective from China's regional disparities[J]. China Industrial Economics, 2010(4):14-23.[刘生龙, 胡鞍钢. 交通基础设施与经济增长:中国区域差距的视角[J]. 中国工业经济, 2010(4):14-23.]
[5] Wang Boli, Zhang Xiaolei. The contribution of highway traffic infrastructure construction to economic growth in Xinjiang based on I-O and ESDA[J]. Acta Geographica Sinica, 2010, 65(12):1522-1533.[王伯礼, 张小雷. 新疆公路交通基础设施建设对经济增长的贡献分析[J]. 地理学报, 2010, 65(12):1522-1533.]
[6] Yang Ping. Development study on Dalian "port and shipping industry support the city" based on input-output theory[D]. Dalian:Dalian Maritime University, 2008.[杨萍. 基于投入产出理论的大连市港航立市发展研究[D]. 大连:大连海事大学, 2008.]
[7] Li Weidong, Zhang Yue. The impact of the operation of Qinghai-Tibet Railway on the Tibet's economic development[J]. China Railway, 2016(5):12-16.[李卫东, 张玥. 青藏铁路运营对西藏经济发展的影响[J]. 中国铁路, 2016(5):12-16.]
[8] Zong Gang, Li Jing. An empirical study on the positive interaction between traffic and economy in Tibet[J]. China Tibetology, 2013(3):113-120.[宗刚, 李婧. 西藏交通与经济良性互动发展实证研究[J]. 中国藏学, 2013(3):113-120.]
[9] Wang Yang, Wu Binzhen. Can transportation investment stimulate local economy? The case of Qingzang Railway[J]. China Journal of Economics, 2014, 1(1):55-80.[王洋, 吴斌珍. 基础交通建设能否促进当地经济的发展?——以青藏铁路为例[J]. 经济学报, 2014, 1(1):55-80.]
[10] Cheng Guodong, Sun Zhizhong, Niu Fujun. Application of roadbed cooling methods in the Qinghai-Tibet Railway construction[J]. Journal of Glaciology and Geocryology, 2006, 28(6):797-808.[程国栋, 孙志忠, 牛富俊. "冷却路基"方法在青藏铁路上的应用[J]. 冰川冻土, 2006, 28(6):797-808.]
[11] Wang Jinchang, Wu Qingbai. Settlement analysis of embankment-bridge transition in the permafrost regions of Qinghai-Tibet Railway[J]. Journal of Glaciology and Geocryology, 2017, 39(1):79-85.[王进昌, 吴青柏. 青藏铁路冻土区路桥过渡段沉降原因分析[J]. 冰川冻土, 2017, 39(1):79-85.]
[12] Ma Mingguo, Wang Xuemei, Lin Xin. Design of the Qinghai-Tibet Railway information system[J]. Journal of Glaciology and Geocryology, 2002, 24(5):652-658.[马明国, 王雪梅, 李新. 青藏铁路信息系统数据库设计[J]. 冰川冻土, 2002, 24(5):652-658.]
[13] Tibet Autonomous Region Bureau of Statistics. Tibet statistical yearbook (2001-2017)[M]. Beijing:China Statistics Press, 2001-2017.[西藏统计局编. 西藏统计年鉴(2001-2017)[M]. 北京:中国统计出版社, 2001-2017.]
[14] The State Statistics Bureau. China statistical yearbook (2001-2017)[M]. Beijing:China Statistics Press, 2001-2017.[国家统计局编. 中国统计年鉴(2001-2017)[J]. 北京:中国统计出版社, 2001-2017.]
[15] Zhang Yan, Wang Chang, Han Shaoxuan. The application of gray relational degree analysis in industrial economic benefit evaluation[J]. Hebei Enterprise, 2014(4):6-7.[张燕, 王畅, 韩绍轩. 灰色关联度分析在工业经济效益评价中的应用[J]. 河北企业, 2014(4):6-7.]
[16] Li Rui, Dai Mingrui, Li Fengzi. Study on selection methods of key influence factors of railway freight transport volume based on gray correlation[J]. Railway Freight Transport, 2015, 33(11):11-14.[李瑞, 代明睿, 李凤资. 基于灰色关联度的铁路货运量关键影响因子选取方法研究[J]. 铁道货运, 2015, 33(11):11-14.]
[17] Wang Bo. The gray correlation analysis of Sichuan railway transportation and regional economic development[J]. Transportation, 2013(18):103-104.[王波. 四川铁路运输与区域经济发展的灰色关联分析[J]. 交通运输, 2013(18):103-104.]
[18] Wang Fengxue. Study on the influence of China high-speed railway on regional economic development[D]. Jilin:Jilin University, 2012.[王凤学. 中国高速铁路对区域经济发展影响研究[D]. 吉林:吉林大学, 2012.]
[19] Yu Pei, Du Wen, Chi Maoru. Quantitative evaluation of correlation between railway transportation and regional economy[J]. Railway Transport and Economy, 2009, 32(12):14-17.[余沛, 杜文, 池茂儒. 铁路运输与区域经济系统相关性与协调性定量评价[J]. 铁道运输与经济, 2009, 32(12):14-17.]
[20] Zhou Xiaolong, Kuang Zhijun, Dai Quancai. Research on regional rail transportation and economic development of the correlation[J]. Logistics Engineering and Management, 2011, 33(2):44-46.[周小龙, 况志军, 戴全才. 区域铁路运输与经济发展相关性研究[J]. 物流工程与管理, 2011, 33(2):44-46.]
[21] Su Fan. The gray related analysis of development that the railway goods transported of our country[J]. Mathematics in Practice and Theory, 2005(10):71-75.[苏帆. 我国铁路货物运输发展的灰色关联分析[J]. 数学的实践与认识, 2005(10):71-75.]
[22] Tang Jianqiao, Wang Ciguang. Optimization of regional freight structure based on an improved analytical model of grey correlation[J]. Journal of Highway and Transportation Research and Development, 2012, 29(12):153-158.[唐建桥, 王慈光. 基于一种改进灰色关联分析模型的区域货运结构优化[J]. 公路交通科技, 2012, 29(12):153-158.]
[23] Liu Rui. Research on the impact of Qinghai-Tibet Railway on the Tibet's economic development[D]. Beijing:Minzu University of China, 2011.[刘睿. 青藏铁路对西藏经济发展影响研究[D]. 北京:中央民族大学, 2011.]
[24] Wang Xiaoyan. Research on coordinated development between railway infrastructure and regional economy[D]. Beijing:Beijing Jiaotong University, 2016.[王晓艳. 铁路基础设施与区域经济协调发展研究[D]. 北京:北京交通大学, 2016.]
[25] Ren Ming. Identifying the contribution of Chinese railway to national economy in the last three years during "the 9th Five Year Plan" period[J]. Railway Economics Research, 2001(2):39-41.[任民. "九五"前三年铁路产业对国民经济贡献的度量[J]. 铁道经济研究, 2001(2):39-41.]
[26] Fan Junjun, Zhang Liangyong, Zhong Fanglei. Grey correlation analysis on economy growth and population factors in Gannan district[J]. Pratacultural Science, 2009, 26(11):51-56.[范君君, 张良勇, 钟方雷. 基于灰色关联分析的甘南州经济增长与人口特征分析[J]. 草业科学, 2009, 26(11):51-56.]

青藏铁路对西藏各经济部门发展影响的定量评估

Quantitative evaluation of the impact of the Qinghai-Tibet Railway on the development of various economic sectors in Tibet

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