Journal of Chemical and Pharmaceutical Research, 2014, 6(5): Research Article

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1 Avalable onlne Journal of Chemcal and Pharmaceutcal Research, 214, 6(5: Research Artcle ISSN : CODEN(USA : JCPRC5 Chnese ndustr chan health development strateg research based on gre relatonal analss Shaobng Yu Insttute of Phscal Educaton, Chuzhou Unverst, Chuzhou, Anhu, Chna ABSTRACT Sports ndustr nearl 6 ears rapd development has begun to take shape n worldwde. Sports ndustr brngs nto enormous economc benefts, especall for lots of developed countres n Europe and Amerca, sports ndustr has alread become core ndustr that occupes bg advantage and belongs to economc sstem n natonal econom. B comparng, Chnese sports ndustr started later, though sports ndustr proporton of econom s constantl ncreasng, t stll falls behnd developed countres. Make use of sports ndustr relatve statstcal data from 26 to 28, startng from perspectve of econom, t makes research on sports ndustr chan and ts economc development relatons, and researches sports relatve ndustr and natonal econom s correlatons. Take economc development as reference; adopt mathematc method pursung sports ndustres mutual relatons. B establshng sports ndustr and economc gre mathematcal model, t solves correlaton degree, and carres out research on sports and ts relatve ndustres correlatons and ts correlatons wth econom, t concludes that Chnese sports ndustr chan sports leadng ndustr tems can better promote economc development and drve other sports ndustres development. Ke words: sports econom, economc development, gre correlaton, sports ndustr chan INTRODUCTION Sports ndustr as sunrse ndustr, ts development prospect s consderable, under new perod; Chnese econom should proceed wth ndustral structure adjustment and promote economc health development. No doubt, sports development surel propels to economc development, and economc growth surel wll also have huge effects on sports ndustr development. Approved b Natonal Bureau of Statstcs, State General Admnstraton of Sports organzed natonal sports and relatve ndustres data specal nvestgaton n Jul, 28 [1-5]. From September, 28 to June, 29, the specal nvestgaton world carred out n 16 provnces (ctes, and obtaned Chnese sports ndustr added values and emploees core data from 26 to 28, whch bult data bass for comprehensve, correctl graspng Chnese sports ndustr development basc nformaton [6-8]. The specal nvestgaton s overall descrpton on Chnese sports ndustr development overall status, s authortatve. Correctl solve the problem has mportant practcal sgnfcances n plannng scentfc reasonable sports ndustral polces, desgnng reasonable laers sports ndustr structure and rapdl propellng to sports ndustr development [9-11]. In sports ndustr and economc correlatons, scholars have made a great deal researches. Among them, Yang Qan (211 researched sports ndustr and economc relatons b gre relatve analss method, she ponted out that sports ndustr sub-factor ftness entertanment had hghest correlaton degree wth econom, and natonal econom plaed strong leadng role n sports ndustr development. Tong Yng-Juan (212 appled growth factors analss method to deepl research on sports ndustr development eternal factors and economc factors; she got laout pattern and laout economc means based on eastern regon sports ndustr. Hu Cheng-Hong etc. based on gre mathematcal theor, establshed evaluaton model for sports ndustr structure, and carred out sports ndustr structural research wth Schuan provnce as an eample; the thought t should lead relatve ndustral development 188

2 Shaobng Yu J. Chem. Pharm. Res., 214, 6(5: on the bass of sports ndustr. Yu Shou-Wen nvestgated developed countres sports ndustr structural form and economc structural effects b collectng nformaton, he thought that sports ndustr was economc growth newl-developed part, t could drve sports ndustr chan and economc rapdl development b mutual correlatons.zhu Je appled factor analss, on the bass of Chnese eastern each provnce practcal stuatons, she dd research on sports ndustr development nfluence factors and put forward sports ndustr development promotng methods and suggestons. Zhou Y etc. (212 n the artcle Sports ndustr correlatons dnamcal features research, accordng to sports ndustr nput and output, the analzed sports ndustr and relatve ndustres correlatons. Lu Han-Sheng (211 b analzng natonal sports and relatve ndustres data, he appled gre mathematcal theor researchng on relatve ndustres nternal connectons, whch provded references for sports ndustr sustanable development. The paper on the bass of prevous researches, b referencng, t apples gre correlaton mathematcal model to make further research on sports ndustr and econom relatons. Calculate correlaton degree, b comparng correlaton degrees, t fnds out promotng sports and relatve ndustres as well as economc levels of ntmac. It provdes quanttatve sports ndustr data for sports ndustr structural laout and health development. SPORTS AND RELATIVE INDUSTRY INDICATOR Relatons between sports ndustr and econom are ntrcate, mutuall effected, ther each knd of economc ndcator and sports ndustr nner relatons, structure, as well as features conform to gre mathematcal model. Due to sports ndustr and econom detaled parameters correlaton form s not eactl, t belongs to gre sstem. Gre sstem s the sstem that ts nformaton s mperfect and ncomplete, onl knows partal and not know the entt. Ths paper starts from gre sstem orgnal feature gre, researches on nformaton greatl lackng of clear correlatons sstem. Gre sstem can better ft and fnd out thngs gre relatons, establsh sports and relatve ndustres as well as economc correlatons, and hereb solve sports ndustr and economc correlatons. Indcator selecton There are man sports ndustr development status ndcator factors, accordng to sports and relatve ndustres nvestgaton; t has data as followng Table 1: Table 1: Man ndcators data overvew Year 26 Year 27 Year 28 GDP added GDP added GDP added Emploees Emploees Tpe value value value Emploees (Unt:bllon Yuan (Unt: ten thousand people (Unt:bllon Yuan (Unt: ten thousand people (Unt:bllon Yuan (Unt: ten thousand people Organzatonal management Stadum management Recreaton and bod buldng Sports ntermedar Sports tranng Sports lotter Goods manufacturng Goods sale Stadum constructon Total Durng 26 to 28, sports and relatve ndustres each ndcator s n rsng trend, economc effcenc growth s especall obvous, meanwhle t drves emploment for more people, sports ndustr emploees show lnear growth trend, whch ndcates sports ndustr stll have great development space, and can rapdl promote emploment and drve economc development. Meanwhle sports ndustr strong growth shows future sports ndustr and relatve ndustres wll further develop. Accordng to above Table data sports GDP added values and emploees quanttes changes n three ears, t draws Fgure 1 as t shows. 1881

3 Shaobng Yu J. Chem. Pharm. Res., 214, 6(5: values number GDP ear Fgure1: Emploees quantt change n three ears Take 28 data as an eample, t can get that mamum proporton n sport GDP added value s sports manufacturng (ncludes sports goods, clothes, shoes and caps, the net s ts closel connected sports sales. Larger proportons can deduce Chnese sports manufacturng s well-developed wth regard to other sports ndustres, t can larger promote GDP growth, but whether manufacturng can become sports ndustr leadng ndustr or not that stll needs to further analze ts correlaton degree wth econom. It generates huge effcenc, meanwhle manufacturng and sales emploees quanttes also le n the top of each relatve ndustres. The quantt of emploees reflect the ndustr development level, ts net ear annual growng number of emploees ndcates manufacturng rapdl development. Relatve ndustres emploees quanttes, sports and relatve ndustres GDP added values n 28 such bar chart s as Fgure 2 show values Organzaton Management Venue Management Lesure Ftness Sports agent Sports Tranng Sports Lotter Manufacturng Sports Sell Stadum buldngs categor GDP sttaf number Fgure 2: Relatve ndustres change values bar chart Correlaton analss and soluton Relatonal degree analss method s put forward b gre sstem theor. Comparng wth mathematcal statstcs, lnear regresson and other mathematcal methods, gre mathematcs has obvous advantages n handlng wth poor data nformaton, fewer samples sstem. Gre correlaton mathematcal calculaton, b handlng and dmnshng data randomness on orgnal data, t carres out ntalze transformaton on sequence rule unobvous a group of data sequence, makes t regular. Correlaton degree geometrc sgnfcance s smlart degree after factor converted nto functon mages. Its calculated amounts are less and not prone to appear correlaton degree quantzaton result and qualtatve analss nconsstent status. Reference ndcator orgnal data sequence selecton Accordng to 26 to 28 natonal sports and relatve ndustres statstcal data, t takes annual GDP added values, per capta GDP, sports emploees respectvel as reference sequences, rest sequences as comparson sequences, and establshes orgnal data table as followng Table

4 Shaobng Yu J. Chem. Pharm. Res., 214, 6(5: Table 2: Sequence orgnal data table Tpe GDP GDP GDP Sports organzatonal management( Sports stadum management( Recreaton and bod buldng( Sports ntermedar( Sports tranng( Sports lotter( Sports manufacturng( Sports sales( Sports stadum constructon( GDP added value( Per capta GDP( Number of sports emploees( Correlaton degree soluton Defne A as orgnal data comparson matr. In matr A ( 1,2, L9, row represents sequence =, column represents ear. Adopt gre mathematcal model solvng correlaton degree, convert sports ndustr and economc development correlaton nto mathematcal problems, n Table 2 sports ndustr data epressed b matr A, t gets: A = Defne B as orgnal data comparson matr. In matr B, row represents sequence 1 represents ear. In Table 2, economc development factors data s epressed b matr B as: 2 3, column B = At frst carr out data transformaton Because collected orgnal data wth dfferent dmensons that have no comparablt, to ensure modelng result accurac, t should proceed wth data transformaton. Method s as followng: Defne 1 Ordered sequence: = ( (1, (2, L( n And then call map f : 1883

5 Shaobng Yu J. Chem. Pharm. Res., 214, 6(5: f ( ( k = ( k, k = 1,2, Ln It s nformaton sequence to dmensonless sequence data transformaton relatonshp, ts data transformaton has: ntalzaton transformaton, mean transformaton, percentage transformaton, multple transformaton, normalzaton transformaton, mamum range transformaton, nterval values transformaton and so on. ( k f ( ( k = = ( k, k = 1,2, Lnand(1 (1 f That s ntalzaton transformaton. Make ntalzaton transformaton on matr A, adopt matr form transformaton. Defne transformaton matr C : Let matr that converts ntal sequence matr A nto dmensonless ntal value matr D s called transformaton matr. Mathematcal epresson s: C A = D Matr C general epresson s: 1/ a C = M 11 1/ a M 21 L L O L M 1/ a n 1 So make ntalzaton transformaton on A B b transformaton matr C, t can get matr: D = C A = E = C B = Matr D s comparson sequence matr after gre theoretcal data ntalzaton that s after elmnatng dmensons, E s reference matr after gre theoretcal orgnal data ntalzaton, n matr, row represents D one reference sequence. Column represents values from 26 to 28. Draw Fgure 3 wth data after ntalzaton; observe sports ndustr and relatve ndustres comparson sequences and reference sequences geometrc fgure, ntall judge ther correlatons, and correlaton degree szes. 1884

6 Shaobng Yu J. Chem. Pharm. Res., 214, 6(5: values ear Fgure 3: Factor trend correlaton fgure B above qualtatve analss curve Fgure 3, t s clear that sports ndustr GDP added values and sports relatve ndustres GDP as well as other sequences trends appromate to consstenc, there s smlart n fgure, but each smlar degree s dfferent, whch can roughl judge factors nteracton szes, but cannot make quanttatve judgment on mutual correlaton degrees szes. (2 Correlaton coeffcent soluton Select reference sequence. Reference sequence n the paper s factor. Other sequences are comparson sequence. Reference sequence: { k k = 1,2, L n} = ( (1, (2 L ( = ( n Among them, k s number of economc development factors, assume t has m peces of comparson sequence: = { ( k k = 1,2, L n} = ( (1, (2 L ( n, = 1,2, Lm Then t calls mn mn ( t s ( t + ρ ma ma ( t s ( t s t s t ξ ( k = ( k ( k + ρ ma ma ( t ( t s t s (1 It s comparson sequence coeffcent, from whch [ ] ma ma ( t ( t s t s to reference sequence economc development sub factors at t moment correlaton ρ,1 mn mn ( t s ( t s resoluton coeffcent. In above formula, s t are respectvel two-level mnmum dfference and two-level mamum dfference. Generall speakng, the bgger resoluton rato s, then the bgger resoluton coeffcent ρ would be; the smaller resoluton rato s, and then the smaller ρ ρ =.5 would be, here the calculaton takes. Correlaton degree soluton, correlaton coeffcent s a knd of ndcator descrbng reference sequence and comparson sequence correlaton degree at some tme, due to each pont has a correlaton coeffcent, t s not convenent to compare, so gve correlaton degree defnton: n 1 r = ξ ( k n k = 1 to reference sequence It s sequence correlaton degree. Correlaton degree s concentratng each tme correlaton coeffcent nto an average value, whch s also do collectve handlng wth ecess scatterng nformaton. Utlze correlaton degree the concept, t can analze and research sports ndustr and economc development correlaton. The soluton, nput ntalzed Table 3 data nto formula(1 (2, t can get each sequence correlaton degree b (2 1885

7 Shaobng Yu J. Chem. Pharm. Res., 214, 6(5: calculatng, smlarl nput Table 4 data for calculatng. Calculated MATLAB program s as followng: clc, clear load.tt for =1:9 (, :=(, :/(, 1; end for =6: 7 (, :=(, 1./(, :; end data=; n=sze(data, 1; ck=data(1, :;m1=sze(ck, 1; bj=data(2:n, :;m2=sze(bj, 1; for =1:m1 for j=1:m2 t(j, :=bj(j, :-ck(, :; end jc1=mn(mn(abs(t';jc2=ma(ma(abs(t'; rho=.5; ks=(jc1+rho*jc2./(abs(t+rho*jc2; rt=sum(ks'/sze(ks, 2; r(, :=rt; end r [rs, rnd]=sort(r, 'descend' (3Correlaton degree result Accordng to above gre mathematcal correlaton degree computatonal method, the paper respectvel takes sports GDP added value, per capta GDP, number of ndustr staff as reference sequences, and calculates nne comparson sequences correlaton degrees, dfferent reference sequences correspondng correlaton degrees epressed wth table, ts result as followng Table 3: Correlaton degree Table 3: Correlaton degree value RESULT ANALYSIS (1 In sports relatve ndustres, t s sports tranng ndustr that has mamum correlaton degree wth sports GDP added values, correlaton degree r =. 982, ncrease sports tranng ndustr nput can promote sports ndustr rapd development; t s sports stadum management ndustr that has hghest correlaton degree wth per capta GDP, correlaton degree r =. 982, strengthen sports stadums management plas mportant roles n mprovng per capta 1886

8 Shaobng Yu J. Chem. Pharm. Res., 214, 6(5: GDP; t s sports stadum buldng ndustr that has hghest correlaton degree wth emploees, correlaton degree r =.959, ncrease sports stadums constructon can mprove emploment rate. (2 Sports lotter ndustr correlaton degrees overall s the mnmum one, whch ndcates lotter s out of step wth Chnese current sports ndustr development, whch needs to be further developed. (3 Sports ndustr chan composton should use sports ndustr mode led b sports tranng, stadum management and sports stadum buldng developng sports ndustr, use leadng ndustres drvng relatve ndustres development, and forms nto closel connected, prmar and secondar ordered sports ndustr chan. REFERENCES [1] ZHANG Ln, LIU We, LIN Xan-peng, ZHANG L, YANG Yue, HUANG Ha-an. Chna Sport Scence, 28, 28(1. [2] ZHANG L, WANG L-uan, XU Xao-juan, LIU Chang. Journal of Shangha Phscal Educaton Insttute, 27, 31(1, [3] MEI Xao-bng, LIU Xang. Journal of Chengdu Phscal Educaton Insttute, 212, 38(9, [4] Ln Xan-peng. Chna Sport Scence, 2, 2(4, 1-5. [5] LUO Le, ZHANG Ln, HUANG Ha-an. Chna Sport Scence, 212, 32(11. [6] DONG Feng, WU Xang-zh, ZHANG Ln. Journal of Nanjng Insttute of Phscal Educaton, 212, 26(1, [7] CHEN Po School of Phscal Educaton, Chongqng. Chna Sport Scence and Technolog, 21, 46(2. [8] Zhang B.; Zhang S.; Lu G.. Journal of Chemcal and Pharmaceutcal Research, 213, 5(9, [9] Zhang B.; Internatonal Journal of Appled Mathematcs and Statstcs, 213, 44(14, [1] Zhang B.; Yue H.. Internatonal Journal of Appled Mathematcs and Statstcs, 213, 4(1, [11] Zhang B.; Feng Y.. Internatonal Journal of Appled Mathematcs and Statstcs, 213, 4(1,