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CONCLUSION

The objective set for this chapter is to character­ize the major trends related to production and trade besides their links to different components of the knowledge economy in the context of the Arab economies.

Using descriptive methods and regression analysis, important results are attained. They concern the limited diversification of each of the Arab economies where most of the time few sectors form the basis of the economies. North African countries are mainly agricultural, natural resource and service based economies while Gulf countries are based mainly on oil and gas. This is directly expressed in their trading patterns with the rest of the world where concentration and limited diversification are also observed. These results say that the economic portfolio appears to be reduced in its composition implying that vulnerability to shocks is an element that needs to be considered.

Besides, the prior, a specific focus is placed on the role of one knowledge component that is information and communication technologies

Table 9.

bgcolor=white>10.416548
Country Name/2010 Internet Users HEPC 2009 GDP pc 2009 GDP 2009 TLEB 2009
Bahrain 13.4502406 6.64720009 9.77615575 23.7483093 4.31780579
Egypt, Arab Rep. 16.8924438 4.73286191 7.77094524 25.9649287 4.29012059
Iran, Islamic Rep. 16.0789984 5.65999502 8.41758247 26.5254294 4.28705439
Iraq 13.5820512 5.30038866 7.648192 24.9006133 4.22663006
Israel 15.421977 7.60306129 10.1697806 25.9982724 4.40066287
Jordan 14.6704135 5.92235 8.35282637 23.9458284 4.29441951
Kuwait 13.8612484 7.36438929 10.6301829 25.4188506 4.31220393
Lebanon 14.0859613 6.42508207 9.02658227 24.2764604 4.28232723
Libya 13.6986572 6.05733754 9.20608035 24.856197 4.31419098
Morocco 16.566377 5.02067202 7.94726086 25.2331183 4.27478427
Oman 14.3608012 6.25455796 9.75731067 24.5705596 4.29216497
Qatar 14.1767974 7.38532093 11.0273076 25.311424 4.35795914
Syrian Arab Republic 15.2565287 4.55850061 7.89789022 24.7110368 4.32681199
Tunisia 15.165396 5.49120906 8.33541631 24.4965331 4.31214051
Turkey 17.1817705 6.35522189 9.05412406 27.1441625 4.29995746
United Arab Emirates 15.5835097 7.44076882 10.5702859 26.3229275 4.3382525
Yemen, Rep. 14.904236 4.14946995 6.98215763 23.9473317 4.17485583
Middle East & North Africa (all income levels) 18.3863509 5.72469811 8.66963342 28.4131307 4.2834117
Middle East & North Africa (developing only) 18.0548753 5.24328284 8.09201963 27.6932757 4.27668379
OECD members 20.5541726 8.33941434 31.3458743 4.37353794
World 21.4355512 6.80247614 9.05020117 31.6927407 4.24315576

Table 10.

Country Name/2010 Investment in

Telecoms 2010

Health Exp PC 2009 GDP pc 2009 GDP 2009 Total Life Expectancy at Birth 2009
Egypt, Arab Rep. 2113000000 113.620268 2370.71111 1.8898E+11 72.9752683
Iran, Islamic Rep. 486000000 287.147214 4525.94861 3.3101E+11 72.7518537
Iraq 456000000 200.414688 2096.85105 6.5193E+10 68.4860488
Jordan 301000000 373.287909 4242.1537 2.5092E+10 73.2896585
Morocco 1124000000 151.51309 2827.81855 9.0908E+10 71.8646341
Syrian Arab Republic 65000000 95.44027 2691.59766 5.3935E+10 75.702561
Tunisia 966000000 242.550288 4168.93675 4.3522E+10 74.6
Turkey 1682980000 575.490023 8553.74145 6.1455E+11 73.6966585
Yemen, Rep. 59000000 63.4003858 1077.24014 2.513E+10 65.0304634
Middle East & North Africa (developing only) 5854000000 189.290494 3268.28162 1.0642E+12 72.0012722

Table 11.

Country Name/2010 Ln(Investment in

Telecoms 2010)

Ln(Health Exp PC 2009) Ln(GDP 2009) Ln(GDP pc 2009) Ln(Total Life Expectancy at Birth 2009)
Egypt, Arab Rep. 21.4713746 4.73286191 25.9649287 7.77094524 4.29012059
Iran, Islamic Rep. 20.0017192 5.65999502 26.5254294 8.41758247 4.28705439
Iraq 19.9380034 5.30038866 24.9006133 7.648192 4.22663006
Jordan 19.5226208 5.92235 23.9458284 8.35282637 4.29441951
Morocco 20.8401596 5.02067202 25.2331183 7.94726086 4.27478427
Syrian Arab Republic 17.9898978 4.55850061 24.7110368 7.89789022 4.32681199
Tunisia 20.6886744 5.49120906 24.4965331 8.33541631 4.31214051
Turkey 21.2438319 6.35522189 27.1441625 9.05412406 4.29995746
Yemen, Rep. 17.893048 4.14946995 23.9473317 6.98215763 4.17485583
Middle East & North Africa (developing only) 22.490391 5.24328284 27.6932757 8.09201963 4.27668379

Table 12.

DETAILED REPORT ANALYSIS OF VARIANCE
Statistical Regression Degree of

Freedom

Sum of

Squasss

Mean

Ssuares

d Critical Value of d
Coefficient of Multiple Determination 0.6764 Regression 1 10.072 10.072 12.653 0.0029
Coefficient of Determination R2 0.4576 Residues 15 11.941 0.796
Coefficient of Determination R2 0.4214 Total 16 22.013
Error-Type 0.8922
Observations 17
Ln(Internet Users 2010)
Coefficients Error­

Type

Statistical t Probability Lower Limit for a Confidence Level = 95% Upper Limit for a Confidence Level = 95%
Constant -5.295 5.7087 -0.928 0.3683 -17.46 6.8725
Ln(GDP 2009) 0.8072 0.2269 3.5571 0.0029 0.3235 1.2908

Table 13.

bgcolor=white>Mean

Ssuares

DETAILED REPORT ANALYSIS OF VARIANCE
Statistical Regression Degree of

Freedom

Sum of

Squares

F Critical Value of F
Coefficient of Multiple Determination 0.8373 Regression 2 15.431 7.7157 16.413 0.0002
Coefficient de Determination R2 0.701 Residues 14 6.5815 0.4701
Coefficient de Determination R2 0.6583 Total 16 22.013
Error-Type 0.6856
Observations 17
Ln(Internet Users)
Coefficients Error-Type Statistical t Probability Lower Limit for a Confidence Level = 95% Upper Limit for a Confidence Level = 95%
Constant -6.295 4.397 -1.432 0.1742 -15.73 3.1359
Ln(GDP 2009) 0.9827 0.182 5.4006 9E-05 0.5925 1.373
Ln(HEPC 2009) -0.567 0.1679 -3.376 0.0045 -0.927 -0.207

Table 14.

DETAILED REPORT ANALYSIS OF VARIANCE
Statistical Regression Degree of Freedom Sum of Ssuares nean

Ssuares

F Critical Value of F
Coefficient of Multiple Determination 0.76967 Regression 2 11.4764 5.73822 5.08658 0.04324
Coefficient de Determination R2 0.59239 Residues 7 7.89678 1.12811
Coefficient de Determination R2 0.47593 Total 9 19.3732
Error-Type 1.06213
Observations 10
Ln(Investment in Telecoms)
Coefficients Error­

Type

Statistical t Probability Lower Limit for a Confidence Level = 95% Upper Limit for a Confidence Level = 95%
Constant -1.1267 6.84712 -0.1646 0.87394 -17.318 15.0641
Ln(HEPC 2009) 0.44691 0.58076 0.76951 0.46676 -0.9264 1.82019
Ln(GDP 2009) 0.74604 0.29035 2.56942 0.03704 0.05946 1.43262

Table 15.

DETAILED REPORT ANALYSIS OF VARIANCE
Statistical Regression Degree of

Freedom

Sum of Squares Mean

Squares

F Critical Value of F
Coefficient of Multiple Determination 0.62631 Regression 1 5.3289 5.3289 4.51818 0.07113
Coefficient of Determination R2 0.39226 Residues 7 8.25606 1.17944
Coefficient of Determination R2 0.30545 Total 8 13.585
Error-Type 1.08602
Observations 9
Ln(Investment in Telecoms)
Coefficients Error-Type Statistical t Probability Lower Limit for a Confidence Level = 95% Upper Limitfor a Confidence Level = 95%
Constant 1.63331 8.62684 0.18933 0.85521 -18.766 22.0325
Ln(GDP pc 2009) 0.72681 0.34193 2.1256 0.07113 -0.0817 1.53534

(ICTs). The analysis conducted in the second part of this chapter shows clearly how important improvements could be ICT based and how the different ICT components are enhancing the levels of production and services. This confirms again

the roles of ICTs in enhancing not just the pro­duction and trading processes but also the other welfare components such as health and education. These effects are again translated into impacts on production and trade.

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KEY TERMS AND DEFINITIONS

Economic Sectors: Mainly traditional levels of aggregation used to show how each economy is producing and trading different goods and services.

Dominant Sectors: Those aggregates that ensure the highest economic outcomes as mea­sured through different economic variables as they appear in the chapter.

ICTs: Information and Communication Technologies refer to the large array of means and technologies used in telecommunication, information, and media but that are increasingly mobilized in different economic and social sectors.

Production and Trading Systems: Used to express the major trends occurring in Arab coun­tries where oil and gas play an important role in the trading patterns of some Middle Eastern countries.

Trade Concentration: In terms of the num­ber of commodities and services, a measure of concentration refers to how trade is based on a small or larger number of goods and services. The concept and the measure of concentration are generally used to show how an economy could be vulnerable to international market shocks in com­modities and services. An economy with a limited number of export goods is generally vulnerable to any sudden price decrease for these goods.

Trade Diversification: Represents and mea­sures the level of multiplicity of commodities and services that are included in both imports and exports. By opposition to concentration, a larger diversification of trade is economically preferred.

Value Added per Sector: As a measure of production, this is used in the context of this chapter to better show the contribution of the most important sectors and aggregates in each economy.

This work was previously published in Knowledge-Based Economic Policy Development in the Arab World, edited by Ahmed Driouchi, pages 147-171, copyright 2014 by Business Science Reference (an imprint of IGI Global).

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