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1 GEOGRAPH ICALRESEARCH Vol124, No11 Jan1, , 2, 2, 3, 2, 2 (11, ; 21, ; 31, ) : 11 ( ) 20 90,,, 2010,,, ( ),, : ; ; ; ; : (2005) , [ 1 ] 30, , ( 4% ), 816% ; ,, ; 2000, 21 ; , [ 2 ],, 20,, () 1314%, 40%, 60% GDP,, , : ; : : ( ) : (19342),,,

[ 1 ] 30, 19802500, 2001 113 ( 4% ), 816% 19952005 ; 1990 6,, ; 2000, 21 ; 19811985, [ 2 ],,

2 1 : 47, 26%,, GDP, % %, % %,,, , , %, 1617%, 1311%715% [ 3 ],, [ 4 ] (), 80, 11 () :,,,,, [ ], [ 12, 13 ], ( ),,, 2 () 11 ( ) ( ) (1),,, (1) 1 Fig11The increase of marine econom ic output value in various p rovinces of China

() :,,,,, [ 3 511 ], [ 12, 13 ], ( ),,, 2 () 11 ( ) ( ) 211 19952001 (1),,,

3 ( %) Tab11The mar ine econom ic developm en t in var ious prov inces of Ch ina ( %) GDP GDP : (2002), (2002) 1 1: (1), 10%, 20%(2), GDP (3) GDP, , , 212,, 11(2) 2 ( 2001) Tab12The loca tion order of output of ma in mar ine products in var ious prov inces of Ch ina ( % ) (2218) (1819) (1519) 5716 (2312) (1915) (1417) 5714 (2710) (2411) (1518) 6619 (5711) (2910) (1010) 9411 (7312) (1317) (718) 9417 (8511) (918) (214) 9713 (3915) (2111) (1310) 7319 (5016) (2210) (810) 8016 (3114) (2012) (1119) 6315 (1611) (1510) (1413) 4514 (4815) (2111) (1013) 7919 (6315) (1019) (717) 8211 : (2002), 213 ( % ) (1) (2) (, ), (W eaver), (3) 2 3 4

1112 1018 1213 1114 1210 1214 516 710 : (2002), (2002) 1 1: (1), 10%, 20%(2), GDP (3) GDP, 1995 01779, 2001 01839, 212,, 11(2) 2 ( 2001) Tab12The loca tion order of output of ma in mar ine products

4 1 : 49 :, : ( % ) Fig12Proportions of marine industry in various p rovinces of China ( % ) : ( 2) 3 Fig13The m inimum variance of industrial structure in various p rovinces of China, 2 = ( x i - gx) 2 n,

5 50 24, 0,, 0, : T ij = W ij ; T = W i1 + W i2 + W in n n n n j = 1 W ij j = 1 W ij j = 1 W ij j = 1 W ij : W ij ij, j = 12n; T ij ij, Ti n, 100% [ 14 ],,,,, (), 3 2, 7, () () ; ( ) ; ( ) (2),,,, , 6,, X i (123) X 1 X 2 X 3 6 4, [ 15 ] 4 Fig14D iagram showing trend of evolution p rocess of the marine industrial structure in various p rovinces of China 120,, 1 23,,,,

(2),,,, 123 36060 16, 6,, X i (123) X 1 X 2 X 3 6 4, [ 15 ] 4 Fig14D iagram showing trend of

6 1 : 51 (3) (Lorenz Curve),,,,, [ ], (5), (3 4) 3 Tab13The concen tra ted indexes and changes of every mar ine industry Tab14The change of mar ine industry concen tra ted index of var ious prov inces of Ch ina G (G 01, G1,, G0, ) 4, 3,,, 2010 [ 18 ] 5 Fig15Lorenz curve of marine industry

727 4 Tab14The change of mar ine industry concen tra ted index of var ious prov inces of Ch ina 1995 1996 1997 1998 1999 2000 2001 0. 5589 0. 5423 0. 5168 0. 5682 0. 5892 0. 5633 0. 5849 0. 6184 0.

7 (1),,, (2),,,, , 910, GDP %718% [ 8 ] (3),,,, [ 19 ] (4),, 312 (1),, 1998 ; ; ; 2034,, GDP,,,, (2) 2005GDP 8%, , GDP 10% 313 (1) ,, (6), A, B, 4 :, : y t = L / ( 1 + ae 2bt ), : y t t, Ly, a, b, b, t : 1 /y t + 1 = [ 1 - exp ( 2b) ] / [L + exp ( 2b) /y ( t) ], exp ( 2b)[ 1 - exp ( 2b) ] /L, 1 / y t /y( t),l y( t)

201011,, (6), A, B, 4 :, : y t = L / ( 1 + ae 2bt ), : y t t, Ly, a, b, b, t : 1 /y t + 1 = [ 1

8 1 : 53 C, 4, D, 6 Fig16The level and structure for building marine econom ically strong p rovinces,,, (5) 5 Tab15The we ight order of bu ild ing mar ine econom ica lly strong prov inces (2),, ( ) GDP ;,, 1, 2( 6),,,, ; 2010 ;

ica lly strong prov inces 1 011471 4 011131 7 010684 10 010568 2 011278 5 011073

9 Tab16The type2d iv ide of bu ild ing mar ine econom ica lly strong prov inces ( ) GDP ( % ) ,, 2010, ; ;,, ;, ; ;, 412,,, 2001,, 7 13( 20 ),, 7, ,, , 40%7, , ,, (7), ; ;,,,,

0112 01080112 0108 1 2 4 411,, 2010, ; ;,, ;, ; ;, 412,,, 2001,, 7 13(

10 1 : 55 7 ( ) ( %) 2001 Tab17The com postiona l changes of trad itiona l industry and new industry , (1996, 2002) 413,,,, 30%, 3040%, 50%, 7080% [ 20 ],, 30% 50% %,, [ 21 ],,,,, 414,, 1992, [ 22 ] 21,,,,, : [1 ] Hnace D Sm ith1 Newsletter1 International Geographical Union Comm ission on Marine Geography, 1998, (8) : 23. [2 ] 1 1, [3 ], 1 1 :, [4 ],, , 1998, (1) : [5 ] 1 1, 2001, (5) : 1011, 181 [6 ] 11, 2003, (2) : [7 ] 11, 2002, (5) : 791 [8 ] 1 1, 2003, (1) : [9 ] 1 1, 2001, (1) : [ 10 ] 1,, 2003, (2) : 891 [ 11 ],,. 1, 2002, (4) : [ 12 ] 1 1, 2003, (3) : [ 13 ] 1 1 :, [ 14 ] 1( ) 1, 1986, (6) : 49541

3040%, 50%, 7080% [ 20 ],, 30% 50%2015 60%,, [ 21 ],,,,, 414,, 1992, [ 22 ] 21,,,,, : [1 ] Hnace D Sm ith1 Newsletter1 International Geographical Union Comm ission on Marine Geography, 1998, (8) : 23.

11 56 24 [ 15 ] 11, 1995, (4) : 591 [ 16 ],,. 1, 2003, (3) : [ 17 ],1 1, 2001, (3) : [ 18 ] 1, 1, 2003, (5) : 351 [ 19 ], 11, 2003, (4) : [ 20 ],,1 1, 2002, (3) : [ 21 ],,.. :, [ 22 ] Adalberto Vallage, Sastain ocean governance, a geographical perspective, simultaneously published in the USA and Cana2 da by Routtedge1 Analysis of interprovincial space difference in marine economy and the building of marine econom ically strong provinces in China ZHANG Yao2guang,W E I Dong2lan,WANG Guo2li, ZHAO Bo, SONG Xin2ru,WANG Sheng2yun ( 11Center for Studies on Sustainable Development of the Marine Economy, L iaoning Normal University, Dalian , China; 21The City and Environment Institute, L iaoning Normal University, Dalian , China; 31 Institute of Tourism, Guangzhou University, Guangzhou , China) Abstract: The spatial distribution of marine econom y in China includes 11 p rovinces having lit2 toral zones, islands and vast expanse of sea areas. China has taken m arine resources developm ent as an important content in the national development strategies and regarded marine econom ic de2 velopment as a great action to revitalize the national economy since the 1990 s1 China has p roposed the p lan of form ing several marine econom ically strong p rovinces by 2010, which can p rovide rele2 vant conditions not only for building China into a well2to2do society, accommodating workforce, alleviating the emp loym ent p roblem s but also for develop ing western regions and revitalizing old industrial base in Northeast so as to p romote overall developm ent of the national economy and quicken the pace of econom ic growth1 In the research, some quantitiative methods and models for analysing regional space differentiations are used to analyse the spatial agglom eration and diffusion degree of m arine industry and marine tertiary industrial structure of various p rovinces for the pur2 pose of revealing the mechanism s and laws for the formation of the marine economy of every p rov2 ince1 Countermeasures for building marine econom ically strong p rovinces in China are put for2 ward. Key words: m arine econom y; marine industry; strong p rovince construction; China interp rovincial difference; marine econom ically

2821 [ 22 ] Adalberto Vallage, Sastain ocean governance, a geographical perspective, simultaneously published in the USA and Cana2 da by Routtedge1 Analysis of interprovincial space difference in

1 75,? : ( ), ( )? ( )?,,,, 1987,, ,,,,, ;,, ( ) 50,,,,, 20 60,,,,,,,,,, 70,,,,,, ( ) , 124, :,,, ;, ;,,,,,,, 16,,, ,, 1

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