

International loumal of Mining Science and Technology 22(2012)317-321Contents lists available at Sciverse Science DirectInternational Journal of Mining Science and TechnologyELSEVIERjournalhomepagewww.elsevier,com/locate/ijmstSelection of leading industries for coal resource cities basedon coupling coordination of industry's technological innovationDu Jiming, Yu Bo, Yao XilongSchool of Management Harbin Institute of Technoiog, Harbin 150001, ChinaARTICLE INFOA BSTRACTReceived 25 October 2011Accepted 12 December 207May2012sent of coale cities. Formineral productsnfluence poteand low carmissions should be attached much impoo 2012 Published by Elsevier B V. on behalf of China University of Mining Technology.1 Introductionand the latter proposed increasing rate of productivity, incomeelasticity and industrial connections [4, 5 Meng and Dang preation, Forcality formmm20mm年hmpaal proposed income elastilished by Hirschman, Rostow and Shinohara, respectively[1-3) They Ithat the leading industries had to haventageal features, i. e. one with greater outpurith a strong industrial connection, with referenoduction rate, income elasticity of demand, industrial conned. elasticity of sction standard of ented labor, and stronger driving effect on correlation industriading industries cavided into 3-7 different steps. Zhou [12]. Zhang et al. proposed seven selection standards of leadi中国煤化工 I production rate, industrial conntution elasticity benchmark and the bottleneck berparison of the production factors.C DevelopCorresponding author. TeL: +86 18745135376of the alternative industry and itsinfluence were more considered in the above selection standards2095-2686/s-see front matter a 2012 Published by Elsevier B.V. on behalf of China University of Mining Technology.J Du er a/Intemational Joumal of Mini Sience and Technoiog 22(2012)317-321of leading industries, however, the reality of cities and areas is the ratio of carbon dioxide emissions caused by consumptionnot considered roundly. of primary energy to the gross domestic product(GDP)3. Coupling coordination model for technologlcal innovatiovestigated as subjects in this paper and the model and methodTo select a new leading industry, we need to consider the 4saE N Mop Selecting leading industries, promote industrial transfor- ditions of its development fouelection oftries with development potential and is suitable for the develop-cities [14-17) This model is used to evaluatFirst, the selected industry should have great dindustries Efficacy functions, degree of coupling model and evalation indication system are the three essential parts of coupling31. Eficacy functionnrough income elasticity of demand, growth elasticity industryelected industryhave great influence, castry i, xy is itsnd loweoymentelected industryFourth, the selected industry should be carbon saving, in which resources cities.other newarce-dependent development pattern. Theentering into According to the above two definitions, the efficacy functions ofry and coal rerbon standard should be measured by carbon intensity which cities can be receiveddemand growh clasticityAlternative industrycoefficient of indutryH中国煤化工CNMHGFg. 1. standard system of alternative industry clustJ Du rt al/ntemahonal Joumal of Mining Sarno and iechncog 22(2012)317-32为≥丙x=-)-即)叫≤为≤(1) En indian index sysrem for coupling coordinaton of the technological inovation frinnovation for an industry (T,v=-)/(一)A≤x≤为≤AThe funding intensity of new productsX and Y are the respective reflection level of satisfaction for theinput in GDPwhen X, and Y, tend to 1. most dissatisfactory results can be ob-the coal resource city(Ta) The number of parentstained when X and Yy tend to OThe naumber of ralue added of high technology1.2. Coupling degree modelindustryDefinition 3. Suppose that X is synthesis contributiontem t theIn order to compare thearce city, a couplingndustry(k-1.2,,. n) A is its eigenvalue, Ea is its perpD=(CL x T'(11)33 Indicator system of coupling and coordination degreeF废+In order to evaluate the degree of coupling between them, cornation index system can be expressed in the fol-on value for lof, F is the First, the index selected should be representative and hierarchy.system of the which reflects coupling rules of the technological innovation abilindustry(k-1.2..m), x is its eigenvalue, E, is its perpendicular ity of the industry and technological innovation environment ofSecond, the index should be broadly adaptable so the twF= EYThird, the index should be dealt with, which can be collected+…+四F+and creAccording to the above principle, 10 indexes as shown inTable 1 measure the status of the two systems for integration with5. Suppose T, and T2 are the altemative technological the reality in this paperresource city resp4. Empirical study: leading industry of Qitaihealternative technological innovation system for thetechnological Qitaihe, which was studied as an example, is China's typical coalsource city: therefore, other coal resource cities can draw reflec-denotes variation value of altemative technological innova- tions ontion for the industry and coal resource city. which is the relativedeviation coefficient of T, and T24. 1. Altermative chester of leading industry2r(+1obtained were normalized after the weight setgestions from experts.4Tn(xt)×T0yCoking and nuclear fuel processing industriest-T20, tin accordance with the size of the developT,(x, t)-T2,中国煤化工al products, machinery for special-CL can be maximum if and only if cCNMH Gashing oftechnological innovation for the industry and resourwhich reflects their whole innovation ability level.power and heat power, paper and paper products manufacturing.I=d(x, t)+ pT20, t)(10) plastics, production and distribution of water, smelting and press-ing of ferrous metals.j, Dw et al/internanonal joumal of Miming Science and Trchmolop 22 (2012)317-321Mining and washing of coal was the most appropriate according of raw chemical materials and chemical products, manufacture ofnon-metallic mineral products, smelting and pressing of ferrometals, manufacture of metal products, manufacture of specialdlpoturpose machinery and manufacture of electrical machinery andocessing of petroleum, coking processing of nuclearwith reference to the size of comparative advantage. mining and 4.3 Selection of leading industryindustriesmaterials productswith reference to size of carbon intensity, furnitureture was the most appropriate, followed by tobaccoprocessing of food from agricultural produce and manufacture of agricultural produce, rubber manufaelectrical machinery and equied,and high technology innovation coupling and coordination degremanufacture of raw chemical materials and chemical products, petroleum, coking, processing of nuclear fuel. manufactureanufacture of rubber. etc.42 Calcuiation of technology innovation coupling and coordination development potential, great influence, no comparative advantage,of altermative industriesThe technology innovation coupling and coordination degree of equipment, mterials and chemicaalternative industries were calculated. The resulown in Table 2Accorgani little infadvantage, non-low carbonalternative industries werelow technology innovation coupling and coordination degreedegree of more than 0.7, including mining and washing of coal, The industries in the first group are suitable for leading indus-ofwwhgotries in group four with low indexes are not suitable for the leadingless than 0.7 were put in the second group induding manufacture industry.Table 2cupling coordination of alternative industry dusters for Qilihefood from agricultural producew chemical materials and chemcal productsof non-metallic mineral productsH中国煤化工器CNMHGDu er al/intemational Journal of Minng Science and TechnoNogy 22(2012)317-321empirical results, there are two types of Acknowleading industry development plans: the near future andnancial support for this work, provided by thnear future, such as coking industry, chemical and mediate ral Science Foundation of China(No. 70972098).dustry and manufacture of non-metallic miand processing of food from agricultural produce should betached considerable importance to in the futurem单哪4是明bm(1)The index system for alternativeustries wasm则mof area leading industry selection. Econemic Problems22-4(n chineselof the industry, locationZhen s: l t ico mesan inz principle and benchmark. Theererial Exploration12] GuanTechndosy Progress and, Policy 2004(927-9 (in Chinese, newsy Sence aand ecological emvironment. journal of China University o Mining aervation in Chin. Resources Science 2008:30(1E:25-30resource cities; for example, the average degree of process. (6)HaoS, Yu Bing of food from the agricultural products industry is 0.9.twork capaciry and technology capacity, Studies in Science of scicnce20027(2:250=4( n chineseries related to coal industry in theh as\dustries with greater market potential, greaand low carbon should be attached much importance inH中国煤化工CNMHG
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