Title Study on the Coordinated Development of Regional Economy in Fujian Name Wang Guochang Major Economics School Xiamen University Study on the Coordinated Development of Regional Economy in Fujian [Abstract] In the situation of building a Harmonious Society, the coordinated development of regional economy arouses vast concerns among politicians and economists. Fujian has ever achieved a rapid economic development, which also causes many social and environmental problems since the reform and opening up. Whether its development is coordinated or not is under discussion in this paper. The author established a comprehensive evaluation index system, then used the analytic hierarchy process, the principal components analysis method and SPSS software to measure the degree of coordinated development of regional economy in Fujian, and finally gave corresponding explanations. [Key Words] Regional Economy Coordinated Degree the Analytic Hierarchy Process the Principal Components Analysis Method 1. INTRODUCTION Fujian, situated in the southeast China on the coast of the East China Sea, covers a land of 540 km from east to west and 550 km from north to south and faces Taiwan Province across the Taiwan Straits, comprising nine cities: Fuzhou, Xiamen, Putian, Sanming, Quanzhou, Zhangzhou, Nanping, Longyan and Ningde. Mountains and hilly areas constitute over 80% of Fujian's land area. Plains are concentrated in its southeast coastal areas. The particular geography and inconvenient traffic restrict local regional development. During the Fourth Session of the Tenth NPC, the Prime Minster Wen Jiabao said the government would support the development of the economic zone on the west side of the Taiwan Straits. Take time when time is, for time will be away. How to seize the opportunity to promote the development of Fujian? As you know, only coordinated development could last for long. Therefore, we shall first confirm whether the development is coordinated which will be discussed in this paper. Regional economy is usually described as the human economic activities in one region. The coordinated development of regional economy is couched in two terms: one is the coordinated development of the subsystems in the regional compound system; the other is the coordinated development of the associated regions. The regional compound system covers a broad range of subsystems, including population, resource, environment, development and etc. So it’s also called PRED system. In my opinion, we should also concentrate on the modern economic level and economic structure, scientific and technological development, the quality of education and social development. Thus, this paper studies the regional coordinate development from the aspects of population, economy, technology & education, society and resource & environment. 2. THE SETTING UP OF THE EVALUATION INDEX SYSTEM 2.1 Choosing suitable indices Because the regional compound system contains plenty of elements, it’s significant to choose suitable indices to reflect this system comprehensively. Based on personal research and other papers, I decided to choose the indices according to the principles as follows: a) Independent. Those indices which indicate the regional development conditions may have some identical information. Thus it’s quite necessary to choose those independent indices to form the index system. b) Comprehensive. One can’t use several unilateral indices to describe the regional economy development. When stating to choose the indices, one ought to consider all the aspects and try to represent the elements of regional compound system as comprehensive as possible. c) Feasible. It’s possible that some indices play important parts in forming the index system theoretically but the data of these indices can not be found in forthcoming materials. In the case, one has to choose similar indices instead. Observing these principles, I chose 20 indices of population, economy, technology & education, society and resource & environment to form the comprehensive index system as Figure 1. Figure 1 1.Total Population at the Year-end (10000 persons) Population 2. Natural Growth Rate of Population (%) 3. Level of Urbanization (%) 4. Per Capita GDP (Yuan) 5. Proportion of Value-added of Tertiary Industry to GDP (%) The evaluation index system of regional coordinated development Economy 6. Foreign Capital Actually Used(100 million USD) 7. Total Exports (100 million USD) 8. Per Capita Payment of Employed Persons (Yuan) 9. Number of R&D Personnel Per 10000 Persons Technology & Education 10. Proportion of Total R&D Expenditure to GDP (%) 11. Student Promotion Rate of Junior Middle School Students 12. Number of Full-time Teachers By Regular Secondary Schools Per 10000 Persons 13. Number of Medical Technical Personnel Society Per 10000 Persons 14.Rate of Juvenile Non-Criminalization Illegal action 15. Proportion of Total Expenses of Varied Insurance to GDP (%) 16. Rate of Urban Registered Unemployment (%) 17.Per Capita Public Green Areas (Sq m) Resource& Environment 18.Proportion of Investment on Environmental Infrastructure Construction to GDP (%) 19. Rate of Industrial Waste Water up to the Discharge Standards (%) 20. Proportion of Investment on the Treatment of Industrial Pollution to GDP (%) 2.2Determination of weight values by AHP The weight values vary depending on different indices. AHP method can be used to determine the weight values of the evaluation index system with its special advantages. It needs four steps: firstly to set up the hierarchy structure of the evaluation index system; secondly to solve the estimated matrix; thirdly to compute the weight value through the estimated matrix; at last to confirm whether the matrix satisfies the consistency condition. I adopt the 5 scale method and divide the 20 indices into 5 levels: extremely important indices, strongly important indices, obviously important indices, slightly important indices and important indices. These 5 levels are represented respectively by value 5, 4, 3, 2, 1. The extremely important index is: per capita GDP; the strongly important indices are: proportion of total R&D expenditure to GDP, rate of juvenile non-criminalization illegal action, proportion of total expenses of varied insurance to GDP, proportion of investment on the treatment of industrial pollution to GDP; the obviously important indices are: total population at the year-end, foreign capital actually used, per capita payment of employed persons; the slightly important indices are: natural growth rate of population, total exports, number of medical technical personnel per 10000 persons, proportion of investment on environmental infrastructure construction to GDP; the important indices are: level of urbanization, proportion of value-added of tertiary industry to GDP, number of R&D personnel per 10000 persons, student promotion rate of junior middle school students, number of full-time teachers by regular secondary schools per 10000 persons, rate of urban registered unemployment, per capita public green areas, proportion of investment on the treatment of industrial pollution to GDP. The estimated matrix A is: X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X1 1 3/2 3/1 3/5 3/1 3/3 3/2 3/3 3/1 3/4 3/1 3/1 3/2 3/4 3/4 3/1 3/1 3/2 3/1 3/4 X2 2/3 1 2/1 2/5 2/1 2/3 2/2 2/3 2/1 2/4 2/1 2/1 2/2 2/4 2/4 2/1 2/1 2/2 2/1 2/4 X3 1/3 1/2 1 1/5 1/1 1/3 1/2 1/3 1/1 1/4 1/1 1/1 1/2 1/4 1/4 1/1 1/1 1/2 1/1 1/4 X4 5/3 5/2 5/1 1 5/1 5/3 5/2 5/3 5/1 5/4 5/1 5/1 5/2 5/4 5/4 5/1 5/1 5/2 5/1 5/4 X5 1/3 1/2 1/1 1/5 1 1/3 1/2 1/3 1/1 1/4 1/1 1/1 1/2 1/4 1/4 1/1 1/1 1/2 1/1 1/4 X6 3/3 3/2 3/1 3/5 3/1 1 3/2 3/3 3/1 3/4 3/1 3/1 3/2 3/4 3/4 3/1 3/1 3/2 3/1 3/4 X7 2/3 2/2 2/1 2/5 2/1 2/3 1 2/3 2/1 2/4 2/1 2/1 2/2 2/4 2/4 2/1 2/1 2/2 2/1 2/4 X8 3/3 3/2 3/1 3/5 3/1 3/3 3/2 1 3/1 3/4 3/1 3/1 3/2 3/4 3/4 3/1 3/1 3/2 3/1 3/4 X9 1/3 1/2 1/1 1/5 1/1 1/3 1/2 1/3 1 1/4 1/1 1/1 1/2 1/4 1/4 1/1 1/1 1/2 1/1 1/4 X10 4/3 4/2 4/1 4/5 4/1 4/3 4/2 4/3 4/1 1 4/1 4/1 4/2 4/4 4/4 4/1 4/1 4/2 4/1 4/4 X11 1/3 1/2 1/1 1/5 1/1 1/3 1/2 1/3 1/1 1/4 1 1/1 1/2 1/4 1/4 1/1 1/1 1/2 1/1 1/4 X12 1/3 1/2 1/1 1/5 1/1 1/3 1/2 1/3 1/1 1/4 1/1 1 1/2 1/4 1/4 1/1 1/1 1/2 1/1 1/4 X13 2/3 2/2 2/1 2/5 2/1 2/3 2/2 2/3 2/1 2/4 2/1 2/1 1 2/4 2/4 2/1 2/1 2/2 2/1 2/4 X14 4/3 4/2 4/1 4/5 4/1 4/3 4/2 4/3 4/1 4/4 4/1 4/1 4/2 1 4/4 4/1 4/1 4/2 4/1 4/4 X15 4/3 4/2 4/1 4/5 4/1 4/3 4/2 4/3 4/1 4/4 4/1 4/1 4/2 4/4 1 4/1 4/1 4/2 4/1 4/4 X16 1/3 1/2 1/1 1/5 1/1 1/3 1/2 1/3 1/1 1/4 1/1 1/1 1/2 1/4 1/4 1 1/1 1/2 1/1 1/4 X17 1/3 1/2 1/1 1/5 1/1 1/3 1/2 1/3 1/1 1/4 1/1 1/1 1/2 1/4 1/4 1/1 1 1/2 1/1 1/4 X18 2/3 2/2 2/1 2/5 2/1 2/3 2/2 2/3 2/1 2/4 2/1 2/1 2/2 2/4 2/4 2/1 2/1 1 2/1 2/4 X19 1/3 1/2 1/1 1/5 1/1 1/3 1/2 1/3 1/1 1/4 1/1 1/1 1/2 1/4 1/4 1/1 1/1 1/2 1 1/4 X20 4/3 4/2 4/1 4/5 4/1 4/3 4/2 4/3 4/1 4/4 4/1 4/1 4/2 4/4 4/4 4/1 4/1 4/2 4/1 1 Then I calculate the mean of every line. After that, I calculate the weight value of each index. The calculation formula is: n ai ai1 ai 2 ... ain n aij n j 1 i,j=1,2,...,n wi ai i 1, 2,..., n n a i i 1 Results are shown in Table 1 as follows. Table 1 Index Geometric Average Weight Vector Xi Ai Wi X1 1.548769 X2 Vector Ratio (AW) i (AW)i/Wi 0.065217 1.304348 20.000000 1.032512 0.043478 0.869565 20.000000 X3 0.516256 0.021739 0.434783 20.000000 X4 2.581281 0.108696 2.173913 20.000000 X5 0.516256 0.021739 0.434783 20.000000 X6 1.548769 0.065217 1.304348 20.000000 X7 1.032512 0.043478 0.869565 20.000000 X8 1.548769 0.065217 1.304348 20.000000 X9 0.516256 0.021739 0.434783 20.000000 X10 2.065025 0.086957 1.739130 20.000000 X11 0.516256 0.021739 0.434783 20.000000 X12 0.516256 0.021739 0.434783 20.000000 X13 1.032512 0.043478 0.869565 20.000000 X14 2.065025 0.086957 1.739130 20.000000 X15 2.065025 0.086957 1.739130 20.000000 X16 0.516256 0.021739 0.434783 20.000000 X17 0.516256 0.021739 0.434783 20.000000 X18 1.032512 0.043478 0.869565 20.000000 X19 0.516256 0.021739 0.434783 20.000000 X20 2.065025 0.086957 1.739130 20.000000 Total 23.747787 1.000000 —— 400.000000 Finally, I come to confirm whether the estimated matrix satisfies the consistency condition. 1. Calculate the maximum feature root of the estimated matrix max : max 1 ( AW )i 1 400 20 m Wi 20 2. Calculate the value of the consistency index of the estimated matrix CI: CI max m m 1 20 20 0 20 1 3. By looking up the tables, we know the average random consistency index of the estimated matrix RI’s value is 1.45. 4. The random consistency ratio of the estimated matrix is: CR CI 0 0.10 RI The random consistency ratio is less than 0.10, so the estimated matrix satisfies the consistency condition well. The weight values of the extremely important indices, strongly important indices, obviously important indices, slightly important indices and important indices are 0.108696, 0.086957, 0.065217, 0.043478 and 0.021739 respectively. 3. THE COORDINATED DEVELOPMENT OF FUJIAN REGIONAL SUBSYSTEMS 3.1 The evaluation standard of the regional coordinated development. In the paper, I adopt coordinated degree to evaluate the coordinated development of Fujian regional subsystems. Wang Bo and Fang Li used the formula B = 1-S/Y to compute the coordinated degree B. Y represents the average of the subsystems’ values which can be calculated by the values and weights of the indices of the subsystem. S represents the standard error of the subsystems’ values. However, in my opinion, S/Y is meaningless for the standardization transformation data which has no dimension. Thus, I adopt a new formula B=1-S to compute the coordinated degree, because S just has the power to explain the coordinated conditions of the subsystems. If S is 0, the subsystems’ values are the same. It means they are completely coordinated. In the case, B gets 1. The bigger S is, the smaller B is and vice versa. I divide the coordinated degree into 5 conditions as shown in Table 2. Table 2 Coordinated Degree Coordinated Conditions Ⅰ 0.8~1 Strongly coordination Ⅱ 0.6~0.8 Slightly coordination Ⅲ 0.5~0.6 Coordination Ⅳ 0.4~0.5 In-coordination Ⅴ 0.2~0.4 Slightly In-coordination 3.2 Standardization of original data The dimensions vary depending on different indices. Before computing the coordinated degree, we need make indices being dimensionless. There are several methods. In this paper, I adopt the method of standardization transformation. The standardization transformation formula is as follows: Yij Xij Xi Si j 1, 2,......, n In this formula, Xij represents the j th data of the i th index. Xi represents the mean of the i th index. Si represents its standard error. The mean of the standardization transformation data of each index is 0 and its standard error is 1. Because the dimension of the standard error is the same as the original data, the standardization transformation data is dimensionless. 3.3 Calculating the coordinated degree I looked up the data from Fujian Statistical Yearbook (2003~2006) and Fujian Economic and Social Statistical Yearbook (2003~2006), then make the standardization transformation of the data and finally calculate the coordinated degree. Results are shown from Table3 to Table 6. Table 3 Fujian’s original data of the evaluation index system Index 2002 2003 2004 2005 1.Total Population at the Year-end (10000 persons) 3466 3488 3511 3535 2. Natural Growth Rate of Population (%) 5.78 5.85 5.96 5.98 3. Level of Urbanization (%) 44.6 45.1 46 47.3 4.Per Capita GDP(Yuan) 13510 15006 16469 18646 39.71 38.93 38.41 38.21 6.Foreign Capital Actually Used(100 million USD) 42.5 49.93 53.18 62.3 7.Total Exports(100 million USD) 173.73 211.4 293.97 348.45 8.Per Capita Payment of Employed Persons(Yuan) 13333 14343 15627 17190 9.Number of R&D Personnel Per 10000 Persons 0.6197 0.5897 0.5736 0.6122 10. Proportion of Total R&D Expenditure to GDP (%) 0.1002 0.1055 0.0926 0.0881 58.7 65.6 69.42 77.66 37.87 38.93 39.75 40.82 27.43 27.78 28.62 28.55 55.29 55.95 55.27 55.75 1.7230 1.6966 1.6983 1.4024 16. Rate of Urban Registered Unemployment (%) 4.2 4.1 4 4 17.Per Capita Public Green Areas (Sq m) 5.04 7.14 8.12 9.17 1.2835 1.2898 1.1922 1.3859 95.65 97.2 97.19 97.66 0.1353 0.2458 0.3709 0.5266 5. Proportion of Value-added of Tertiary Industry to GDP (%) 11.Student Promotion Rate of Junior Middle School Students 12.Number of Full-time Teachers By Regular Secondary Schools Per 10000 Persons 13.Number of Medical Technical Personnel Per 10000 Persons 14.Rate of Juvenile Non-Criminalization Illegal action 15. Proportion of Total Expenses of Varied Insurance to GDP (%) 18. Proportion of Investment on Environmental Infrastructure Construction to GDP (%) 19. Rate of Industrial Waste Water up to the Discharge Standards (%) 20. Proportion of Investment on the Treatment of Industrial Pollution to GDP (%) Table 4 Fujian’s standardization transformation data of the evaluation index system Index 2002 2003 2004 2005 1.Total Population at the Year-end (10000 persons) -1.1448 -0.4041 0.3704 1.1785 2. Natural Growth Rate of Population (%) -1.1931 -0.4507 0.7158 0.9279 3. Level of Urbanization (%) -0.9708 -0.5487 0.2110 1.3084 4.Per Capita GDP(Yuan) -1.0954 -0.4119 0.2564 1.2509 1.3353 0.1751 -0.6043 -0.9061 6.Foreign Capital Actually Used(100 million USD) -1.1550 -0.2495 0.1465 1.2579 7.Total Exports(100 million USD) -1.0521 -0.5755 0.4692 1.1584 5. Proportion of Value-added of Tertiary Industry to GDP (%) 8.Per Capita Payment of Employed Persons(Yuan) -1.0738 -0.4680 0.3022 1.2396 9.Number of R&D Personnel Per 10000 Persons 0.9925 -0.4308 -1.1951 0.6333 10. Proportion of Total R&D Expenditure to GDP (%) 0.4617 1.1497 -0.5168 -1.0945 -1.1568 -0.2840 0.1992 1.2416 -1.1759 -0.3318 0.3232 1.1844 -1.1404 -0.5359 0.8988 0.7775 0.8108 -1.1351 0.8698 -0.5455 0.6103 0.4368 0.4481 -1.4953 16. Rate of Urban Registered Unemployment (%) 1.3056 0.2611 -0.7834 -0.7834 17.Per Capita Public Green Areas (Sq m) -1.3231 -0.1293 0.4278 1.0246 -0.0553 0.0250 -1.2087 1.2391 -1.4525 0.3133 0.3019 0.8373 -1.0959 -0.4391 0.3049 1.2301 11.Student Promotion Rate of Junior Middle School Students 12.Number of Full-time Teachers By Regular Secondary Schools Per 10000 Persons 13.Number of Medical Technical Personnel Per 10000 Persons 14.Rate of Juvenile Non-Criminalization Illegal action 15. Proportion of Total Expenses of Varied Insurance to GDP (%) 18. Proportion of Investment on Environmental Infrastructure Construction to GDP (%) 19. Rate of Industrial Waste Water up to the Discharge Standards (%) 20. Proportion of Investment on the Treatment of Industrial Pollution to GDP (%) Table 5 the coordinated degree of Fujian regional subsystems Technology Population Economy (0.130434) (0.304347 ) 2002 -1.1319 -0.9237 0.0724 -0.1616 2003 -0.4437 -0.3706 0.5075 2004 0.4590 0.2116 2005 1.1166 1.0827 &Education Society Resource& Y S B=1-S -0.9087 -0.6144 0.4471 0.5529 0.4979 -0.1903 -0.0075 0.4150 0.5850 -0.3914 -0.0611 -0.0585 0.0399 0.2536 0.7464 -0.1884 -0.2752 1.1576 0.5820 0.6612 0.3388 (0.152174 ) (0.239131) Environment (0.173913) Table 6 the coordinated conditions of Fujian regional subsystems Year 2002 2003 2004 2005 B 0.5529 0.5850 0.7464 0.3388 Coordination Coordination Slightly Slightly coordination In-coordination Coordinated Conditions 4. THE COORDINATED DEVELOPMENT OF THE ASSOCIATED REGIONS IN FUJIAN As described above, Fujian comprises nine cities: Fuzhou, Xiamen, Putian, Sanming, Quanzhou, Zhangzhou, Nanping, Longyan and Ningde. Regional coordinated development is couched in two terms. I have discussed the coordinated development of the regional subsystems then I’ll introduce the coordinated development of the nine cities in Fujian. Instead of AHP, this time I used the principal components analysis method. It can not only eliminate the correlation of evaluation indices, but also create weighting coefficient automatically according to the given information Further more, it can give the ranking of the coordinated development of the nine cities. First of all, I will study the case of 2002. Data is also from Fujian Statistical Yearbook (2003~2006) and Fujian Economic and Social Statistical Yearbook (2003~2006). Results are shown from Table 7 to Table 8. Table 7-1 the original data of the evaluation index system of 9 cities in 2002 Index Fuzhou Xiamen Putian Sanming 1.Total Population at the Year-end (10000 persons) 652 214 275 260 2. Natural Growth Rate of Population (%) 5.9 4.7 6.1 5.7 3. Level of Urbanization (%) 54.2 74.2 45.6 40.7 4.Per Capita GDP(Yuan) 16901 30297 8265 10233 42.11 43.42 36.02 38.60 6.Foreign Capital Actually Used(100 million USD) 12.02 8.92 2.41 0.61 7.Total Exports(100 million USD) 35.34 87.93 7.68 1.18 8.Per Capita Payment of Employed Persons(Yuan) 14125 18167 11448 12442 9.Number of R&D Personnel Per 10000 Persons 1.9463 2.4486 0.1455 0.1346 10. Proportion of Total R&D Expenditure to GDP (%) 0.2959 0.1848 0.0226 0.0216 62.1 93.4 56.5 68.7 34.02 30.88 43.23 44.53 34.16 40.43 19.67 33.83 57.12 50.65 57.48 53.64 1.6764 1.8724 0.9975 3.2500 16. Rate of Urban Registered Unemployment (%) 3 4.1 2.5 6.5 17.Per Capita Public Green Areas (Sq m) 5.64 5.39 3.24 7.02 1.8903 2.0909 1.5850 0.7565 98.31 97.57 89.71 89.83 0.3460 0.0250 0.0089 0.2722 5. Proportion of Value-added of Tertiary Industry to GDP (%) 11.Student Promotion Rate of Junior Middle School Students 12.Number of Full-time Teachers By Regular Secondary Schools Per 10000 Persons 13.Number of Medical Technical Personnel Per 10000 Persons 14.Rate of Juvenile Non-Criminalization Illegal action 15. Proportion of Total Expenses of Varied Insurance to GDP (%) 18. Proportion of Investment on Environmental Infrastructure Construction to GDP (%) 19. Rate of Industrial Waste Water up to the Discharge Standards (%) 20. Proportion of Investment on the Treatment of Industrial Pollution to GDP (%) Table 7-2 the original data of the evaluation index system of 9 cities in 2002 Quanzhou Zhangzhou Nanping Longyan Ningde 747 462 284 270 302 2. Natural Growth Rate of Population (%) 6.4 6.2 6 5.3 6 3. Level of Urbanization (%) 46 35.4 44.6 34.2 35.3 4.Per Capita GDP(Yuan) 14713 9074 8373 9025 7938 35.92 38.22 40.73 37.19 41.04 8.21 7.14 2.2 0.3 0.69 15.35 7.78 1.43 0.48 1.47 12140 10319 10875 12364 11808 0.0268 0.1948 0.1761 0.1556 0.2583 0.0076 0.0283 0.0159 0.0307 0.0320 56.7 40.6 68.8 64.9 52.8 35.40 34.02 38.63 50.88 40.19 21.42 18.98 30.54 29.46 28.25 48.53 62.75 58.46 58.26 58.2 0.6866 1.6044 3.0396 2.5423 1.2931 1.1 4 6.9 7.4 4.4 4.1 3.38 5.63 6.34 4.25 0.0969 0.7150 1.1315 0.3675 0.5004 95.66 99.35 95.22 95.99 92.38 0.0942 0.0142 0.2122 0.1384 0.0058 Index 1.Total Population at the Year-end (10000 persons) 5. Proportion of Value-added of Tertiary Industry to GDP (%) 6.Foreign Capital Actually Used(100 million USD) 7.Total Exports(100 million USD) 8.Per Capita Payment of Employed Persons(Yuan) 9.Number of R&D Personnel Per 10000 Persons 10. Proportion of Total R&D Expenditure to GDP (%) 11.Student Promotion Rate of Junior Middle School Students 12.Number of Full-time Teachers By Regular Secondary Schools Per 10000 Persons 13.Number of Medical Technical Personnel Per 10000 Persons 14.Rate of Juvenile Non-Criminalization Illegal action 15. Proportion of Total Expenses of Varied Insurance to GDP (%) 16. Rate of Urban Registered Unemployment (%) 17.Per Capita Public Green Areas (Sq m) 18. Proportion of Investment on Environmental Infrastructure Construction to GDP (%) 19. Rate of Industrial Waste Water up to the Discharge Standards (%) 20. Proportion of Investment on the Treatment of Industrial Pollution to GDP (%) Table8-1 the results of the principal components analysis by SPSS Total Variance Explained Comp Initial Eigenvalues Total % of Variance Rotation Sums of Squared Loadings Cumulative % Total % of Variance Cumulative % 1 9.326 46.629 46.629 8.623 43.116 43.116 2 4.948 24.740 71.370 3.917 19.585 62.700 3 2.136 10.679 82.048 3.647 18.237 80.937 4 1.607 8.035 90.084 1.829 9.147 90.084 5 .950 4.751 94.834 6 .550 2.750 97.584 7 .400 1.998 99.583 8 .083 .417 100.000 9 5.73E-016 2.87E-015 100.000 10 3.41E-016 1.71E-015 100.000 11 2.83E-016 1.42E-015 100.000 12 1.71E-016 8.55E-016 100.000 13 1.02E-016 5.11E-016 100.000 14 3.70E-017 1.85E-016 100.000 15 -5.26E-017 -2.63E-016 100.000 16 -2.10E-016 -1.05E-015 100.000 17 -2.63E-016 -1.32E-015 100.000 18 -4.61E-016 -2.30E-015 100.000 19 -6.60E-016 -3.30E-015 100.000 20 -1.71E-015 -8.53E-015 100.000 Extraction Method: Principal Component Analysis. Table8-2 the results of the principal components analysis by SPSS Component Score Coefficient Matrix Component 1 2 3 4 1.Total Population at the Year-end(10000 persons) -.122 .305 .121 -.163 2. Natural Growth Rate of Population (%) -.126 .159 .021 -.016 3. Level of Urbanization (%) .104 -.012 -.052 -.093 4.Per Capita GDP(Yuan) .097 .001 -.041 -.116 5. Proportion of Value-added of Tertiary Industry to GDP (%) .107 .019 .035 .236 6.Foreign Capital Actually Used(100 million USD) .012 .222 .024 .011 7.Total Exports(100 million USD) .122 -.022 -.084 -.025 8.Per Capita Payment of Employed Persons(Yuan) .106 -.043 -.021 -.114 9.Number of R&D Personnel Per 10000 Persons .108 .049 .000 .085 10. Proportion of Total R&D Expenditure to GDP (%) .054 .156 .089 .116 11.Student Promotion Rate of Junior Middle School Students .089 -.106 .038 -.163 12.Number of Full-time Teachers By Regular Secondary -.056 -.127 .072 -.088 .068 -.015 .141 -.027 .025 -.007 -.038 .521 -.008 -.032 .215 .079 16. Rate of Urban Registered Unemployment (%) .015 -.107 .138 .166 17.Per Capita Public Green Areas(Sq m) -.035 .036 .285 -.130 .122 -.019 -.057 .181 .028 .171 .036 .230 -.104 .234 .354 -.080 Schools Per 10000 Persons 13.Number of Medical Technical Personnel Per 10000 Persons 14.Rate of Juvenile Non-Criminalization Illegal action 15. Proportion of Total Expenses of Varied Insurance to GDP (%) 18. Proportion of Investment on Environmental Infrastructure Construction to GDP (%) 19. Rate of Industrial Waste Water up to the Discharge Standards (%) 20. Proportion of Investment on the Treatment of Industrial Pollution to GDP (%) Thus, there’re four factors F1, F2, F3, F4 representing almost 90.084% information of all the data. F1=-0.122 X1-0.126 X2+0.104 X3+0.097 X4+0.107 X5+0.012 X6+0.122 X7+ 0.106 X8+0 .108 X9+0.054 X10+0.089 X11-0.056 X12+0.068 X13+0.025 X14-0.008 X15 +0.015 X16-0.035 X17+0.122 X18+0.028 X19-0.104 X20; F2=0.305 X1+0.159 X2-0.012 X3+0.001 X4+0.019 X5+0.222 X6-0.022 X7-0.043 X8 +0.049 X9+0.156 X10-0.106 X11-0.127 X12-0.015 X13-0.007 X14-0.032 X15-0.107 X16 +0.036 X17-0.019 X18+0.171 X19+0.234 X20; F3=0.121 X1+0.021 X2-0.052 X3-0.041 X4+0.035 X5+0.024 X6-0.084 X7-0.021 X8+ 0 X9+0.089 X10+0.038 X11+0.072 X12+0.141 X13-0.038 X14+0.215 X15+0.138 X16 +0.285 X17-0.057 X18+0.036 X19+0.354 X20; F4=-0.163 X1-0.016 X2-0.093 X3-0.116 X4+0.236 X5+0.011 X6-0.025 X7-0.114 X8+ 0.085 X9+0.116 X10-0.163 X11-0.088 X12-0.027 X13+0.521 X14+0.079 X15+0.166 X16 -0.13 X17+0.181 X18+0.23 X19-0.08 X20 According to the contribution rate of variance, I conclude a statistic F: 46.629 24.740 10.679 8.035 F1 F2 F3 F4 90.084 90.084 90.084 90.084 0.5176 F1 0.2746 F 2 0.1185 F 3 0.0892 F 4 F F is just the integrate score of 9 cities. The value of F is in Table 9. Table 9 the integrate score and ranking of nine cities in 2002 F1 F2 F3 F4 F Ranking Fuzhou 0.56396 1.95379 0.9423 0.49804 0.984504 2 Xiamen 2.47263 -0.39984 -0.45943 -0.4351 1.076784 1 Putian -0.3287 -0.71639 -1.38313 -0.13572 -0.54286 9 Sanming -0.40155 -0.75199 1.41008 -0.82357 -0.32071 5 Quanzhou -0.82974 1.12606 -0.65957 -1.94332 -0.37176 8 Zhangzhou -0.55488 0.6087 -0.90037 1.52935 -0.09033 4 Nanping -0.2126 -0.30114 0.83705 0.71114 -0.03011 3 Longyan -0.40833 -0.93413 0.82437 0.11885 -0.35957 7 Ningde -0.30079 -0.58507 -0.61129 0.48033 -0.34594 6 With the same steps, I calculate the integrate scores and rankings of nine cities from 2003 to 2005 as follows. Table 10 the integrate score and ranking of nine cities from 2003 to 2005 2003 2004 2005 F Ranking F Ranking F Ranking Fuzhou 0.36860 2 0.8107 2 0.6772 2 Xiamen 1.2175 1 1.1744 1 1.1402 1 Putian -0.2746 6 -0.4827 8 0.0585 3 Sanming 0.1657 4 -0.0023 3 -0.4169 7 Quanzhou -0.5765 8 -0.3619 7 0.0071 4 Zhangzhou -0.727 9 -0.1721 5 -0.0959 5 Nanping 0.0074 5 -0.1613 4 -0.4655 8 Longyan 0.2113 3 -0.2492 6 -0.5368 9 Ningde -0.3924 7 -0.5555 9 -0.3680 6 5. CONCLUDING REMARKS This paper has analyzed the coordinated development of regional economy in Fujian. From the aspect of the coordinated development of Fujian regional subsystems, we discover that during 2002 and 2005, three of Fujian’s regional subsystems got steady improvements except Technology & Education and Society. Because the index proportion of total R&D expenditure to GDP which played an important part in the technology & education subsystem dropped in the last two years, the value of this subsystem decreased inevitably. Turn to the Society subsystem. Data of its indices changed without a clear tendency, so we couldn’t judge whether it got better or not. With the economy developing, the coordinated degree of the whole regional compound system improved during 2002 and 2004 and dropped greatly in 2005. While the others developed with good conditions, the subsystems of Technology & Education and Society still struggled in their funk. It directly restricted the coordinated development of the whole Fujian regional economy. The study also suggested what the Fujian government should do if it wants to receive a more coordinated development. From the aspect of the coordinated development of the nine cities in Fujian, we find that Xiamen and Fuzhou are the top two most coordinated cities of all. Xiamen is the main force of Fujian economy. As a highly modernized city, its development exceeds the other ones obviously. Fuzhou is the province capital. It has the innate advantages and also has the potentiality to play this role better. Besides, Zhangzhou and Sanming got relatively high scores. Here I have to mention the city Quanzhou which is also a powerful economic body in Fujian. As its development of the resource & environment and technology & education dropped far behind its economy, its integrate scores aren’t as good as expected. Putian, Nanping, Longyan and Ningde are the relatively undeveloped areas in this province. Some careful readers may have found that the development of Fujian presents a step-state. The relatively developed cities concentrate in the southeast coastal areas of Fujian where there are superior geography, abundant natural resource, convenient traffic and good economic and technological environment. In comparison, the west and central regions are underdeveloped and waiting for the rise. Generally, Fujian lacks of strong modern cities. It’s really difficult to make a promotion if only relying on two cities. 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