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59,1400

-24,7971

1,7006

3,0610

20

0,8183

0,6671

260,8588

39,8132

-27,6955

6,6355

3,4232

21

0,7882

0,6184

211,1093

38,0055

-24,7917

4,4061

3,4812

22

0,8233

0,6753

270,6728

40,3855

-28,2198

7,1804

3,3135

23

0,8317

0,6894

288,7392

42,9451

-29,1227

7,4353

3,2421

24

0,8285

0,6840

281,6506

41,5372

-28,7934

7,9018

3,1906

25

0,8249

0,6780

274,0093

39,5946

-28,4320

8,0279

3,3102

Therefore, the ranking of the objects underobservation (regions of Russia in 1995 through 1999) as concerns the degree ofregional investment activity set by their>

Table 4.4 displays values of the index ofinvestment activity in accordance with these three functions.

Visualdifferences of the three indices we have built are insignificant. Moreover,mean-squared deviation of one index from another make 2,3825 for φ4 andφ14. At the same time the deviation of the third index from first twoare rather significant. In this case the mean-squared deviation of one indexfrom another make: 12,5595 for φ4 and φ5, and12,2911 for φ14 and φ5. In casethe objects are ranked in accordance with indices set by the functions we havebuilt, the mean deviation in object numbers set by φ4 andφ14 is equal to 15,2; φ4 and φ5 makes16,5; φ14 and φ5 is 5,7. In the first case 16 objectshave the same position; in the second case 16; in the third case 41. Only 6 of390 objects keep their positions in all three rankings. In this case thesensitivity of the indicator to measurement errors is even higher than in thepreceding case. It might be expected proceeding from the fact that statisticalcharacteristics of the built indicators in this case are worse.

4.1.3. Indicator of the regional economicpotential

The information collected across the regionsof Russia (excluding the Chechen and Ingush Republics, and autonomous entitieswithin larger regions) in 1997 through 1999 was used as initial data.Therefore, we have 237 objects, which in terms of the degree of investmentactivity are characterized by three indicators, i.e. N = 237, n = 3.

Using the algorithm described in paragraph1.2, let us build the function of the index of regional economic potentialmeeting the >

φ2 = 0,8306 + 0,9666GRP + 0,0917UL - 0,0816FI;

φ3 = - 3,1379 +0,8989GRP + 0,1620UL + 0,1953FI;

φ4 = - 2,0880 +0,7847GRP + 0,0845UL + 0,2980FI;

φ5 = - 4,0701 +0,8721GRP + 0,2144UL + 0,2224FI;

φ6 = - 3,4075 +0,8737GRP + 0,1749UL + 0,2193FI;

φ7 = - 2,6960 +0,8063GRP + 0,1237UL + 0,2796FI;

φ8 = - 3,1392 +0,8555GRP + 0,1565UL + 0,2354FI;

φ9 = - 2,9948 +0,8363GRP + 0,1454UL + 0,2527FI;

φ10 = - 2,7956 +0,8201GRP + 0,1314UL + 0,2671FI;

φ11 = - 3,4061 +0,8392GRP + 0,1704UL + 0,2511FI;

φ12 = - 2,5889 +0,8523GRP + 0,1231UL + 0,2368FI;

φ13 = - 2,8553 +0,8420GRP + 0,1378UL + 0,2471FI;

φ14 = - 3,1114 +0,8291GRP + 0,1515UL + 0,2597FI;

φ15 = - 3,1287 +0,8162GRP + 0,1508UL + 0,2717FI;

φ16 = - 3,0768 +0,8107GRP + 0,1470UL + 0,2766FI;

φ17 = - 3,3985 +0,8320GRP + 0,1690UL + 0,2577FI;

φ18 = - 3,0247 +0,8439GRP + 0,1482UL + 0,2458FI;

φ19 = - 2,8067 +0,8418GRP + 0,1348UL + 0,2471FI;

φ20 = - 2,6631 +0,8410GRP + 0,1261UL + 0,2475FI;

φ21 = - 2,6909 +0,8288GRP + 0,1262UL + 0,2588FI;

φ22 = - 2,6483 +0,8164GRP + 0,1221UL + 0,2702FI;

φ23 = - 2,7032 +0,8109GRP + 0,1247UL + 0,2754FI;

φ24 = - 2,9249 +0,8133GRP + 0,1383UL + 0,2737FI;

φ25 = - 2,9267 +0,8053GRP + 0,1374UL + 0,2812FI.

For statistical characteristics ofrespective regression see Table 4.5.

Table 4.5.

Number of clusters

Multiple R

Adjusted R2

F-statistics

t-statistics

1

GRP

UL

FI

2

0,8798

0,7712

266,0895

12,3324

28,1867

1,2663

-1,6405

3

0,8629

0,7414

226,4877

0,3509

25,5653

2,1826

3,8285

4

0,8597

0,7358

220,0731

-1,2568

24,6768

1,2590

6,4591

5

0,8689

0,7518

239,3210

-5,3624

26,0216

3,0303

4,5742

6

0,8995

0,8067

329,2361

-0,3286

30,6452

2,9065

5,3013

7

0,9189

0,8423

421,2131

-0,9546

34,2469

2,4886

8,1857

8

0,9210

0,8463

434,0503

-4,2370

35,1059

3,0427

6,6572

9

0,9238

0,8515

451,9910

-5,5026

35,6961

2,9403

7,4340

10

0,9262

0,8559

468,3976

-5,6976

36,2304

2,7502

8,1334

11

0,9217

0,8477

438,7825

-7,3124

35,1136

3,3779

7,2403

12

0,9191

0,8428

422,7225

-7,7889

34,7174

2,3765

6,6487

13

0,9174

0,8396

412,6785

-8,6715

34,1793

2,6497

6,9134

14

0,9255

0,8547

463,6944

-8,4441

36,0675

3,1216

7,7858

15

0,9269

0,8572

473,3624

-8,7344

36,3138

3,1797

8,3310

16

0,9351

0,8727

540,3699

-7,9430

38,7520

3,3299

9,1116

17

0,9346

0,8718

535,8777

-9,0591

38,7370

3,7284

8,2697

18

0,9330

0,8688

521,7337

-9,4626

38,4134

3,1953

7,7110

19

0,9367

0,8758

555,5127

-7,2433

39,6637

3,0101

8,0266

20

0,9341

0,8709

531,8900

-7,6288

38,8328

2,7595

7,8757

21

0,9351

0,8729

541,1534

-7,9227

39,0509

2,8172

8,4051

22

0,9355

0,8736

544,5075

-8,1171

39,0559

2,7676

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