Clustering as a factor of increasing investment attractiveness of the Islamic Republic of Iran

The role of investment policy in a giving new job opportunities, realizing structural changes in different industries and other sectors of management on the basis of using new equipment and technologies and raising various forms of capital in Iran.

Рубрика Экономика и экономическая теория
Вид статья
Язык английский
Дата добавления 05.10.2020
Размер файла 229,4 K

Отправить свою хорошую работу в базу знаний просто. Используйте форму, расположенную ниже

Студенты, аспиранты, молодые ученые, использующие базу знаний в своей учебе и работе, будут вам очень благодарны.

CLUSTERING AS A FACTOR OF INCREASING INVESTMENT ATTRACTIVENESS OF THE ISLAMIC REPUBLIC OF IRAN

M.B. Trachenko, O.D. Gaisha, V.A. Dzhioev

Investment policy is the basis of the formation and development of national economy.

It aims at giving new job opportunities, realizing structural changes in different in-dustries and other sectors of management on the basis of using new equipment and technologies as well as raising various forms of capital. The main objective of the present research is adjustment of the previously developed authorial methodology of express analysis of the investment attractiveness of the regions to analyze the Middle East & North Africa (MENA) countries investment attractiveness and clustering expe-rience dissemination in the innovation activity field. In the framework of the present research, an analysis of the MENA countries was conducted and the advantages and disadvantages of the MENA countries were identified. The analysis of the investment attraction of the MENA countries can be helpful in making decisions by investors, governments, and everyone concerned. Developed countries such as the USA, Japan, Germany, and France show their experience in the implementation of cluster concep-tion as an effective instrument contributing to enterprise development, innovation and competitiveness boost among the cluster-based regions as well as the country on the whole. As a result of the research, the authors give their recommendations on the im-plementation and spread of innovative clusters on the territories of the Islamic Repub-lic of Iran, corresponding to the world trends of accelerating introduction and in-crease of technological innovation economic influence on the world market. The sys-temic approach and synthesis, methods of bibliographic and logical analysis were used within the framework of the present research.

Keywords: investment, investment attractiveness, investment climate, investment at-tractiveness index, analysis of investment attractiveness, cluster, industrial cluster, innovation cluster, economic efficiency, competitiveness

Introduction

In today's context, the most important condition for the functioning and sta-ble development of the territory (of the country, province or region in particular) is realization of its socioeconomic potential with the investment part being one of the key elements of the process. It becomes the indicator for the business ac-tivity on the territory and includes formation of the favorable investment cli-mate, the degree of attractiveness of which contributes to formation of manage-ment subjects' activity aimed at seeing a lasting social-economic effect.

Investments can be one of the major factors of positive changes of the coun-try's economy through investment into the regional management sectors where greater potential has been identified. Today, investment prominence has risen on the country, region and enterprise levels, as it gives opportunities for manufac-turing and infrastructure development, for creating new workplaces, which is one of the principal factors of improving the quality of life in the region as well as in the country on the whole.

Evaluation of investment attractiveness enables to reveal the current situation in the economic activity and its investment support, to find out characteristic problems and regularities on the current stage of development, and to mark pos-sible areas for the regional adjustment program.

At present, integration processes represent a special driving force of the economy, and they foster the creation and improvement of competitiveness of enterprises, regions, and countries on the whole, promoting their investment attractiveness at the international level. Representatives of business, science, authorities are interested in the integrated forms of bringing together economic entities, which is conditioned by the scientific and technological progress, com-petitiveness, and the increased importance of intangible assets.

One of the forms of such integration is clusters representing a group of inter-related companies and associated organizations, concentrated in a particular ter-ritory and a particular sector [1]. Territorial closeness is not the only characteris-tic of clusters. Clusters presuppose cooperation of participants in the production, with their effective interaction contributing to the synergy effect achievement.

Review of Works on Investment Attractiveness

Investments are the basis for the development of both separate enterprises and regions on the whole. They guide the effective functioning of socioeconom-ic systems. Investments are considered to be the central factor of growth and development, expanding productive capacity of the economy and stimulating new job opportunities [2]. Different types of investments from physical assets to intellectual capital can contribute to both quality changes (power increase and efficient use of resources) and quantity changes (output growth through the ac-cumulation of production factors or process optimization).

The major part of investments is made by local investors, but only international ones can provide additional benefits apart from the fixed capital. Such investments can serve as a channel for the local spread of technology and expert knowledge by creating links with local providers and access to international markets.

A cause and effect relationship between investments and economic growth is generally recognized. D. Keynes defined investments as the economic growth factor [3]. The functioning of the economy sector of the country is impossible without investments contributing to the elaboration and development of indus-trial, innovative, social programmes and projects, enabling to increase produc-tion and improve the functioning efficiency of social production.

Investment attractiveness in its turn represents complex characteristics which can be applied both to a particular investment object and a region on the whole and reflects conformity between the region, the investment object and the objec-tives of a particular investor [4].

Investment attractiveness issues are widely discussed by researchers, the main problems being the comparison of “investment attractiveness” and “in-vestment climate” [5-6], economic growth factors of the territories [7-12]. Lots of assessment of investment attractiveness nowadays [13-17] differ in indicators for assessment, mechanisms of information gathering and processing, in national peculiarities of the development of territories under analysis.

While making decisions even at a high expected return of an investment pro-ject, investors take into consideration a favourable investment climate. Yenchzhao Lu, T.V. Pekna & Sun Vei [12] mark out four groups of factors tak-en into account while making decisions:

- macro- and meso-economic rate dynamics (GDP, GNI, GRP, level of in-dustrial development, inflation rate, development of the banking sector, etc.);

- national investment policy (state support of foreign investments, participa-tion in international treaties, stability and effectiveness of the state policy, etc.);

- legal and regulatory basis for the investment activity (tax legislation, cus-toms regulation, regulation and oversight of organization activities, disputes and differences settlement, etc.);

- data (facts, statistics, general framework for investment, etc.).

A favourable investment climate contributes to the accumulation of capital, skills, technology and resources of industry, which encourages the expansion of organizations, productive use, effectiveness growth due to competitiveness crowding out inefficient industry. Besides investments have an economic and social influence on improving living standards in the long term.

On the regional level, organization and regulation mechanisms of the investment activity are rather complicated and dynamic because of their dependence on the mi-cro-level. Goals and objectives of the regional investment policy must meet the main directions of the socioeconomic development of the country [18].

Researchers have different points of view concerning investment processes in the region being state-influenced. Thus, A. Haletska [19] thinks that the influ-ence of regional authorities on the investment processes should foster effective functioning, resolution of socioeconomic, ecological and other problems. T. Bova [20] points out the significance of the state influence on reducing territori-al development inequality. T. Misikova [21] states the necessity of state support development in the activities which can play the role of “points of growth” in the region economy.

Investment attraction presents a very significant task to the territorial units of the countries (regions, provinces), which explains the importance of defining the most effective mechanisms for increasing investment attractiveness and makes it topical within the framework of the present research.

Mechanisms For Increasing the Investment Attractiveness of the Regions

The investment activity development of the most significant spheres of the socioeconomic development must become the major priority of the socioeco-nomic development of a territory. To a great extent, the high level of the eco-nomic activity of the territories and the significant growth of investment flows into the economy are conditioned by the result of the longstanding and success-ful work of the executive power aimed at the investment attractiveness growth.

All the mechanisms of influencing the authorities with a view to increasing the investment attractiveness of the territory can be divided into legal, regulatory and infrastructural [22].

Removing any barriers to the capital market access, the implementation of effective legislative and practical mechanisms, the protection of interests and rights of investors, the simplification of procedures via “one-window” principle are worth mentioning among other legal instruments of investment attractive-ness increase.

In the formation of an effective market infrastructure, it is worthwhile to note accessibility to information on the organisations for the purpose of analysis and choice of investment objects and improvement of information support of the business on the whole, for the balancing of competitive conditions and devel-opment of investment institutions.

Integration mechanisms, contributing to the cooperation and mutually bene-ficial co-partnership are also worth mentioning. Representatives of business, science, and power take an interest in integrated forms of bringing together eco-nomic entities, which is conditioned by the development of science and technol-ogy progress, competitiveness and increased significance of intangible assets [23]. One of such integration forms is the clustering conception which was test-ed by such developed countries as the USA, Japan, Germany, and the Nether-lands.

Cluster is a group of organisations, joined economic subjects, and institutions closely located and large enough to develop special knowledge, services, and resources to find common suppliers.

The experience of other countries proved the effectiveness of cooperation on a particular territory of scientific-educational organizations for the purpose of achieving the synergetic effect of cooperation, thus supporting the development of the regions. M. Porter [1] formulated advantages of such integrations, namely the overcoming of the science and technology gap, the upgrading of the indus-try, and, consequently, the development of the territories and the living stand-ards increase.

Clusters influence competitiveness of the regions via:

- productivity improvement at the level of firms and branches;

- creation of opportunities for innovation and industry growth;

- stimulation and facilitation of new business establishment, supporting in-novations and expansion of the cluster.

Cluster core comprises big enterprises of several branches (extracting and manufacturing), closely connected by the same technological chain. A whole group of small enterprise forms is formed at each venture. They support differ-ent stages of innovative and manufacturing processes.

In cluster management, special emphasis is placed on small and medium-sized businesses, making more than 50% of the whole number of participants characterized by flexibility and adaptability to implementation of innovations. In fact, the number of people belonging to the specialty branch of the cluster is not less than 30 to 50 participants.

The development of a cluster presupposes interaction of business, power, science, and education. Such partnership is called Triple Helix [24], and it im-plies participation of all the key participants--state authorities, business, and science-education complex with the leadership of each of them. As the main problem is harmonization of interests of the participating representatives of edu-cational and scientific institutions, business and government bodies, only those associations in which interests of both sides correlate with common objectives can succeed.

Cluster structures have specific characteristics:

- geographical closeness, contributing to the spread of knowledge and main-taining a relatively cheap access to the necessary factors of the enterprise;

- accumulation of information and interaction experience between the cluster entities;

- maintainance of interchangeability of the cluster participants;

- functioning of large amounts of representatives of small and medium-sized businesses, characterized by flexibility and adaptability to the implementation of innovations [25-26].

Functioning of the territorially close innovative businesses stimulates and supports industry development. Establishment of innovative territorial clusters contributes to the realisation of business initiatives, and work of scientific re-search institutes, all this resulting in the creation of new work places and im-proving skills. Innovative clusters technologically influence other spheres, which results in the improvement of their international competitive position.

Innovative territorial clusters are characterized by a full production cycle of a scientific organisation; production of innovative technologies, production and services.

The problems of cluster competitiveness and its effectiveness were investi-gated by many researchers [27-33], quite a big number of works deal with the assessment of potentially effective clusters and its participants [34-37]. In the framework of the previous research, the authors developed a three-staged as-sessment system of effectiveness of territorial cluster funding, which includes indicators showing how the cluster influences the economy in the region, indica-tors of the development of the cluster itself, and indicators of the financial posi-tion of the enterprises-cluster participants [38]. This system can be used in deci-sion-making in the distribution of investments.

The implementation of a sound investment policy requires a precise and ra-ther objective analysis of the investment climate, determination of criteria for assessing the investment situation in the country and in the region, elaboration of a methodology basis, adequate to the economic situation. Informative meth-odology on data collecting and processing is necessary to get information con-cerning data on investment attractiveness of the territories. We give an adapted methodology of assessment of investment attractiveness of the MENA countries.

Methodology and Data Explanation

The Technique of Assessment of Investment Attractiveness
of the MENA Countries

The purpose of assessment of investment attractiveness of the MENA coun-tries according to different criteria was to reveal strong and weak points of the Islamic Republic of Iran. The assessment covered 20 indicators, characterising the region with regard to basic (stable) indicators such as economic and geo-graphical position, as well as changing data, characterising the dynamics of the investment climate level in the region and the level of investment risks.

Within the framework of the present investigation, we assessed the invest-ment attractiveness of the MENA countries (Middle East and South Africa countries, including Algeria, Bahrain, Djibouti, Egypt, Iran, Iraq, Israel, Jordan, Kuwait, Lebanon, Libya, Malta, Morocco, Oman, Qatar, Saudi Arabia, Syria, Tunisia, and the United Arab Emirates).

The countries have enough oil and natural gas resources, which is a very im-portant source of global stability. About 6% of the world population lives in the investigated geographical region (according to the World Bank). The dynamics of the economic development of the MENA countries is positive and is on the level of 1.4% (according to the 2017 International Bank official information), and further growth is expected.

As part of the previous studies [4], we developed an authorial methodology of assessment of investment attractiveness of the regions, which is more oriented towards the Russian Federation and its regions. As part of the present research, we modified and adapted the previously elaborated the methodology of calcula-tion of basic conditions ratio, investment climate of the territory and investment risks, which became the basis for the calculation of the integral indicator of in-vestment attractiveness assessment of the MENA countries.

Information for the calculation of the investment attractiveness index based on the present methodology is available to anyone interested in it, and this is its significance.

As part of the present research, we made calculations of investment attrac-tiveness of the MENA countries based on three groups of indexes, characterising basic conditions, investment climate, and investment risk (Table 1).

Table 1. System of rate to calculate investment attractiveness index

1. Basic conditions ratio

2. Investment climate ratio

3. Investment risk ratio

Economic and geograph-ical position (EGP). Existence of natural gas. Existence of oil fields. Existence of farmlands. Existence of forest fund.

Expenses on research and develop-ment.

Gross indicator of coverage of higher education.

State budget expenditures on educa-tion.

Gross investments in fixed capital. Standard of living.

Rate of the needy popula-

tion with income of 3.10 US dollars a day in terms of purchasing power pari-ty in shares of total em-ployment.

Debt level.

Unemployment rate.

1. Basic conditions ratio

2. Investment climate ratio

3. Investment risk ratio

The level of development of the ex-tracting and processing productions. Privileges on taxes/rent for business. Index of covering import by export. Index of attracted foreign direct in-vestments.

Mortality per 1,000 live births.

Crime level.

Potential/ongoing military conflicts

The investment attractiveness index elaborated for the analysis reflects the factors presented in Table 1 and equals to an algebraic sum of the weighted ratio of basic conditions, investment climate, and investment risk.

Index of IA = 0.2 * BC ratio + 0.6 * IC ratio + 0.2 * IR ratio. (1)

It is worth mentioning that as a result of the conducted calculations, statistic information was rather complicated as either it was not available or it did not exist (Djibouti, Libya, Yemen). Exclusion of some parameters from the general index is considered to be inappropriate, that is why those countries were not in-cluded into the general chart.

The cost-of-living standard within the present methodology is calculated as the ratio of average monthly wages (1 person) to the fixed minimal wages in the country. As state fixed minimum wages do not exist in some countries, the cost- of-living standard is not determined.

The authors believe that war conflicts and business benefits are important in choosing countries for investment and developing business. Thus, these data are rather significant as part of methodology - from 0 to 1. Index is 0 if there are no conflicts and it equals 1 if there are any (potential). While calculating tax/rent incentives for business in the country, index is 1 in case of the war conflict, in some countries taking into account restrictions of those enterprise activities which can qualify for benefits, the rate is at the level of 0.5.

The results of the tested methodology of the assessment of the investment at-tractiveness of the MENA countries are presented in the Results of Analysis of Investment Attractiveness of MENA Countries section (Figure1 and Table 2).

Existing and Potentially Possible Clusters on the Territory
of the Islamic Republic of Iran

The Islamic Republic of Iran is the second largest oil-producing state among the OPEC countries [39], and has a developed industry. The main export accounts for oil, industrial goods, machinery and equipment, as well as metal products. The main partners of Iran are China, the UAE, India, Turkey, and South Korea.

The committee on export development strategies lays special emphasis on the creation and development of industrial clusters in the country. Thus, indus-trial clusters are actively developing on the territories (ostans) of Iran, for in-stance a building cluster in Teheran.

Industrial clusters of Iran are established and headed by a group for business-cluster development and are implemented together with the Iran Small Industries and Industrial Park Organisation (ISIPO). The latter established their own order of cluster-building, consisting of stages of cluster-development analysis possi-bilities, establishing contractual relations, research, investigation, formation of development plans, and their immediate realisation.

There is a rise in the proportion of export on the world market, as there is strive for competitiveness, though Iran, occupying the 89th position in the global competitiveness index rating, is marked as a less open country than Ethiopia. As it is stated in the report at the World Economic Forum [40], openness of the country is significant for its competitiveness openness of economy contributes to the development of innovations, and markets are competitive.

As a result of the earlier studies based on the method of correlative- regressive analysis of innovative development data and subindex of cluster de-velopment of the global competitiveness index in the countries of the world in 2018, a close connection (correlation rate 0.7086 which is the evidence of a high connection according to Chaddock's scale) was revealed between the investigat-ed factors, which proves the significance of the cluster conception in the devel-opment of innovative systems.

The Islamic state of Iran should not stay behind the transition of strategic im-portance, as the entire leading world economies take the innovative way of devel-opment. For that purpose, the elaboration and implementation of strategies of the innovative development of Iran should be viewed. Priorities should be given to the implementation of knowledge-based manufacturing enterprises, technologies, in-flows of innovative investment, technological modernisation of the enterprises, formation on their basis of competitive innovative and territorial clusters.

The most labour intensive and important process in the cluster formation is its identification. Mapping is one of the most important methods of cluster re-vealing. By means of mapping, information on professional, interdisciplinary connections and clusters in the regions and the level of their development is vis-ualized.

According to the current administrative-territorial division the Islamic Re-public of Iran consists of 31 ostans, the biggest of which according to the num-ber of population and development level are:

- Teheran: it is one of the main economic supports of the country and the biggest industrial center of Iran, where 44% of the workers of workshops of the whole country are employed and more than 50% of textile and electronic goods are produced.

- Isfahan: it hosts the largest metallurgical and petrochemical industries of the country. The stable economic growth of the ostan based on science and tech-nology can be viewed.

- Khuzestan: it is rich in oil and petroleum, it is the locomotive of the south-west of Iran, and it takes the second place in the metallurgic development of the whole country.

It is these kinds of districts that are suitable for cluster policy development due to the concentration of different enterprises, different forms of property, personnel, transportation, and scientific research institutions.

As the authors believe, the main participants of the innovative territorial clus-ters in the Islamic Republic of Iran are:

- state businesses, which, according to Article 44 of the Constitution of the Islamic Republic of Iran [41], include heavy industries, banking and insurance activity, infrastructure companies--the important participants of the cluster in the running and ensuring of the businesses;

- private sector, particularly small and medium-sized businesses, which is supplementary and supportive on each stage of the value chain, and is character-ized by adaptability to the approbation of innovative ways;

- scientific research institutions, such as Royan and SRI of fundamental sci-ences under the Ministry of Science and Technology of the Islamic Republic of Iran, which is the centre of idea development;

- coordinative cluster body, which presents the active group of business-clusters development.

Assessment of the potential possibilities and the overall effect of cluster crea-tion are considered important. There are different methods for it, for instance, the widely spread methodology of the European cluster observatory for the iden-tification and assessment of potential clusters, and many others [42-44], which should be paid more attention to by the executive power bodies during the inno-vative cluster policy formation in the Islamic Republic of Iran.

Results of Analysis of Investment Attractiveness of MENA Countries

The results of the assessment of the investment attractiveness analysis of the MENA countries adapted according to the authorial methodology are presented in Tables 2 and 3 and the figure below.

Figure 1. Index of investment attractiveness of MENA countries

1

EGP

0.3750

0.5000

0.5000

0.5000

0.7500

0.5000

0.5000

0.2500

0.2500

2

Existence of oil fields

0.0053

0.0157

0.0017

0.0001

0.0000

0.1574

0.0570

0.6226

1.6126

3

Existence of natural gas

0.0000

0.0001

0.0000

0.0000

0.0000

0.0000

0.0001

0.0033

0.0002

4

Existence of farmlands

0.1737

0.1110

0.0380

0.2460

0.1200

0.2140

0.2820

0.0578

0.0842

5

Existence of forest fund

0.0082

0.0077

0.0007

0.0189

0.0110

0.0190

0.0656

0.0000

0.0035

Basic conditions ratio

0.5622

0.6345

0.5404

0.7651

0.8810

0.8904

0.9047

0.9338

1.9505

Table 2. Index of investment attractiveness of MENA countries and its components (Part 1)

Indicators| Algeria | Baln ain| Egypt | Israel | Jordan | Iraq | Iran | Qatar | Kuwait

Basic conditions ratio (BC ratio)

Investment climate ratio (IC ratio)

1

Expenses on research and development

0.5300

0.0010

0.0061

0.0425

0.0033

0.0004

0.0030

0.0051

0.0080

2

Gross indicator of coverage of the higher education

0.4300

0.4700

0.3400

0.6400

0.3600

-

0.6900

0.1500

0.3300

3

State budget expenditures on education

0.0450

0.0290

0.0440

0.0540

0.0340

0.0460

0.0360

0.0220

0.0320

4

Gross investments in fixed capital

0.2990

0.2590

0.1480

0.2030

0.2000

0.1740

0.2050

-

-

5

Standard of living

1.8014

-

-

1.8861

-

-

2.0397

-

10.870

6

The level of development of the extracting and processing productions

0.2683

0.3363

0.2863

0.1562

0.2597

0.4377

0.3032

0.4085

0.4644

7

Privileges on taxes/rent for business

1.0

0.5

1.0

0.5

0.0

1.0

1.0

0.0

0.5

8

hidex of covering import by export

0.6758

1.1159

0.5722

1.0608

0.6239

1.5116

1.0463

1.3690

1.0484

9

hidex of attracted foreign direct investments

0.0070

0.0150

0.0310

0.0510

0.0510

-0.026

0.0110

0.0060

0.0010

Investment climate ratio

5.0564

2.7263

2.4276

4.5936

1.5319

3.1437

5.3342

1.9605

13.254

Investment risk ratio (iR ratio)

1

Rate of the needy population with income of 3.10 US dollars a day in terms of purchasing power parity in shares of total employment

0.0970

-

0.4270

-

0.1200

0.3160

0.0110

0.0000

0.0010

2

Debt level

0.6680

0.9090

0.9900

0.8110

1.0830

0.0870

0.7760

1.4720

0.9220

3

Unemployment rate

0.1000

0.0130

0.1210

0.0430

0.1490

0.0820

0.1310

0.0020

0.0210

4

Mortality per 1,000 live births

0.2160

-

0.1940

0.0290

0.1510

0.2590

0.1300

0.0730

0.0720

Indicators

Algeria

Bahrain

Egypt

Israel

Jordan

Iraq

Iran

Qatar

Kuwait

5

Crime level

0.0015

0.0023

0.0011

0.0022

0.0016

0.0012

0.0028

0.0004

0.0015

6

Potential/ongoing military conflicts

0

0

0

1

0

1

0

0

0

Investment risk ratio

1.0825

0.9243

1.7331

1.8852

1.5046

1.7452

1.0508

1.5474

1.0175

Index of investment attractiveness (Index of IA)

2.9298

1.5778

1.2180

2.5322

0.7944

1.7153

3.1713

1.0536

8.1392

Table 2. Index of investment attractiveness of MENA countries and its components (Part 2)

Indicators

Lebanon

Malta

Morocco

UAE

Oman

Saudi

Arabia

Syria

Tunisia

Basic conditions ratio (BC ratio)

1

EGP

0.2500

0.2500

0.5000

0.5000

0.3750

0.5000

0.5000

0.5000

2

Existence of oil fields

0.0000

0.0000

0.0000

0.4759

0.0193

1.1510

0.0059

0.0013

3

Existence of natural gas

0.0000

0.0000

0.0000

0.0002

0.0000

0.0000

0.0000

0.0000

4

Existence of farmlands

0.6327

0.3291

0.6851

0.0465

0.0464

0.8076

0.7518

0.6157

5

Existence of forest fund

0.1321

0.0095

0.1259

0.0387

0.0001

0.0045

0.0265

0.0643

Basic conditions ratio

1.0148

0.5886

1.3110

1.0613

0.4408

2.4633

1.2841

1.1813

Investment climate ratio (IC ratio)

1

Expenses on research and development

-

0.0060

0.0071

0.0096

0.0022

0.0082

0.0001

0.0060

2

Gross indicator of coverage of the higher education

-

0.4900

0.3200

-

0.4500

0.6700

0.3900

0.2700

3

State budget expenditures on education

0.0210

0.0470

0.0520

0.0000

0.0650

0.0720

0.0260

0.0590

4

Gross investments in fixed capital

0.2180

0.2320

0.3050

0.2300

0.3430

0.2270

-

0.1960

5

Standard of living

2.3486

6.5603

3.3948

-

2.2387

-

-

2.0649

6

Level of development of extracting and processing produc-tions

0.1190

0.0919

0.2325

0.3486

0.4039

0.3903

0.2676

0.2035

7

Privileges on taxes/rent for business

1.0

1.0

1.0

0.5

1.0

1.0

0.0

1.0

8

hidex of covering import by export

0.4903

1.1675

0.7960

1.3860

1.0667

1.1920

0.9907

0.7782

9

hidex of attracted foreign direct investments

0.0480

0.2770

0.0240

0.0270

0.0410

0.0020

0.0310

0.0200

Investment climate ratio

4.2449

9.8717

6.1314

2.5012

5.6105

3.5615

1.7054

4.5976

Investment risk ratio (IR ratio)

Indicators

Lebanon

Malta

Morocco

UAE

Oman

Saudi

Arabia

Syria

Tunisia

1

Rate of the needy population with income of 3.10 US dollars i day in terms of purchasing power parity in shares of total em-ployment

0.0040

-

0.0820

0.0050

0.0050

0.0020

0.6250

0.0530

2

Debt level

2.0960

1.1730

1.0940

1.0080

0.6950

0.3910

-

0.9690

3

Unemployment rate

0.0630

0.0430

0.0930

0.0170

0.1600

0.0570

0.1520

0.1520

4

Mortality per 1,000 live births

0.0690

0.0590

-

0.0660

0.0920

0.1110

0.1420

0.1170

5

Crime level

0.0010

0.0013

0.0023

0.0010

0.0003

0.0019

0.0006

0.0018

6

Potential/ongoing military conflicts

1

0

0

0

0

0

0

0

Investment risk ratio

3.2330

1.2763

1.2713

1.0970

0.9523

0.5629

0.9196

1.2928

Index of investment attractiveness (Index of IA)

2.1033

5.7855

3.6868

1.4936

3.2640

2.5170

1.0962

2.7362

Source: Table 2 is made by the authors from open access materials (data belong to the last year of the period of 2014-2017 for which there is statis-tics).

The investment attractiveness of the Islamic Republic of Iran is 3.1713, max-imum level being 8.1392 (Figure 1). At the same time Iran has a rather low level of investment activity risks (1.0508) among the MENA countries under analysis.

Among the revealed negative factors of Iran, difficult climate, high children mortality rate and high level of criminality should be mentioned.

The Islamic Republic of Iran has the highest rate of people with higher edu-cation (69% of the population), high rates on oil-production, mining and pro-cessing businesses on the whole (a high proportion of land and wood funds, a favourable economic and geographical position due to the developed transporta-tion system--railways and ports). Tax privileges for foreign investors presup-pose the authorities' interest in the attraction of foreign capital into the country, which decreases unemployment and contributes to rising living standards on the whole.

Conclusions and Discussion

The analysis of the investment attraction of the MENA countries can be help-ful in making decisions by investors and everyone concerned. The methodology of the assessment of the investment attractiveness of the territories elaborated by the authors and adapted for the MENA countries can be available due to the simplicity of its algorithm and transparency of the data basis, and it can be rec-ommended for the assessment of the investment attractiveness of the territorial units of countries.

As a result of the research, the authors give their recommendations on the implementation and spread of innovative territorial clusters on the territories of the Islamic Republic of Iran, corresponding to the world trends of accelerating introduction and increase of economic influence of technological innovations on the world market.

References

1. Porter, M.E. (2018) Clusters and the New Economics of Competition. Harvard Busi-ness Review. 76 (6). pp. 77-90.

2. OECD. (2015) Policy FrameworkforInvestment. Paris: OECD Publishing.

3. Keynes, J.M. (1933) The Means to Prosperity. London: MacMillan and Co.

4. Trachenko, M.B., & Dzhioev, V.A. (2018) Express Analysis of Investment Appeal of Regions. Finansy I Kredit - Finance and Credit. 24 (9). pp. 2151-2165. (In Russian).

5. Litvinova, V.V. (2013) Investitsionnaya privlekatel'nost' i investitsionnyy klimat re- giona [Investment Attractiveness and Investment Climate of the Region]. Moscow: Financial University.

6. Podshivalenko, G.P. (2010) Investitsionnyy klimat i investitsionnaya privlekatel'nost' [Investment Climate and Investment Attractiveness]. Finansovaya analitika: problemy I resh- eniya - Financial Analytics: Problems and Solutions. 15 (39). pp. 7-10.

7. Ayres, R. & Voudouris, V. (2014) The Economic Growth Enigma: Capital, Labour and Useful Energy? Energy Policy. 64. pp. 16-28.

8. Bassanini, A., & Scarpetta, S. (2001) The Driving Forces of Economic Growth: Panel Data Evidence for the OECD Countries. OECD Economic Studies. 33.

9. Boiko, P.S., Kazantseva D.A. (2016) Economic Growth and Its Factors, Parameters, Types of Economic Growth. Aktual'nye problemy aviatsii i kosmonavtiki - Actual Problems of Aviation and Cosmonautics. 12. pp. 1134-1135. (In Russian).

10. OECD (2003) The Sources of Economic Growth in OECD Countries. Paris: OECD Publishing.

11. Vasiliev M. P. (2017) Analysis of the influence of external factors on efficiency of use of resource potential and economic growth of the region. Vestnik VGUIT - Proceedings of the Voronezh State University of Engineering Technologies. 1 (71). pp. 422-425. (In Russian). DOI: 10.20914/2310-1202-2017-1-422-425

12. Yenchzhao, Lu, Pekna, T.V. & Sun Vei, (2012) Direct Investment of Chinese Enter-prises in Regions of Ukraine. Actual problems of economy. 8. pp. 413-419.

13. Damborsky, M., & Rihova, G. (2009) Investment Attractiveness of the Czech Repub-lic Regions in a Period of Economic Crisis. 3rd Central European Conference in Regional Science - CERS. pp. 951-962.

14. Kharlamova, G. (2014). Investment Attractiveness of Ukrainian Regions: Rating As-sessment and Marketing Promotion. Journal of International Studies. 7 (1). pp. 9-26.

15. Montalto, V. et al. (2017) The Cultural and Creative Cities Monitor. Publications Office of the European Union.

16. Nowicki, M. (2014) The Investment Attractiveness of the Regions and the Sub-regions of Poland. DOI: 10.13140/2.1.2752.0803

17. Razuvaev, V. V. (2011) Otsenka investitsionnoy privlekatel'nosti regionov Ros- siyskoy Federatsii [Assessment of Investment Attractiveness of Russian Regions]. Vestnik Permskogo universiteta. Seriya: Ekonomika - Perm University Herald: Economy. 3 (10). pp. 45-53.

18. Khymych, O. V. (2016) Mechanism of Planning and Regulation of Investment Opera-tions at Meso Level. Ekonomika: realii vremeni - Economy: Realities of Time. 4 (26). pp. 168-175.

19. Haletska, A.A. (2012) Scientific Approaches as for the Determination of Regulation Mechanism of Investment Operations. Public Administration: Improvement and Develop-ment. 2. pp. 168-175.

20. Bova, T.V. (2011) State Innovation and Investment Policy of Ukraine: Theory, Devel-opment Directions. Donetsk: Yuho-Vostok. (In Ukrainian)

21. Misikova, T. E. (2009) Gosudarstvennoe vozdeystvie na regional'nuyu investitsion- nuyu deyatel'nost' [State Impact on Regional Investment Activities]. Terra Economicus. 2-3. pp. 248-250. (In Russian).

22. Gladkaya, S.V. (2013) Mekhanizmy povysheniya investitsionnoy privlekatel'nosti re- giona [Mechanisms to Increase the Investment Attractiveness of the Region]. Terra Economi-cus. 4-3. pp. 226-230. (In Russian).

23. Pronyaeva, L. I. & Pavlova, A. V. (2016) Development of Integration Processes in the Modern Economy Based on the Creation of Clusters. Srednerusskiy vestnik obshchestvennykh nauk - Central Russian Journal of Social Sciences. 3. pp. 137-149. (In Russian). DOI: 10.12737/20395

24. Etzkovitz, H., & Leydcsdorff, L. (2000) The Dynamic of Innovations: from National System and “Mode 2” to a Triple Helix of University-Industry-Government Relations Re-search Policy. Research Policy. 29. pp. 109-129.

25. Korableva, A.A., Karpov, V.V. & Kapoguzov, E.A. (2018) Correlation between territorial innovative clusters and sustainable development of a region. Aktual'nye roblem ekonomiki i prava - Actual Problems of Economics and Law. 4 (48). pp. 800-815. (In Rus-sian).

26. Voronov, A.S. & Leont'eva, L.S. (2016) About the Types of Regional Innovation Clusters. Statistika i Ekonomika - Statistics and Economics. 3. pp. 8-12. (In Russian).

27. Brabec, E. (2001). An Evaluation of the Effectiveness of Cluster Development in the Town of Southampton, New York. Urban Ecosystems. 5(1). pp. 27-47.

28. Klepikova, N.I. (2013) The Assessment of Effectiveness of the Formation of an In- dusty-Based Cluster. Fundamental'nye issledovaniya - Fundamental Research. 4. pp. 934-939. (In Russian).

29. Lisenko, I.V. (2012) Analysis of Clustering Processes in the Regions of Ukraine. Visnik Chernigivs kogo derzhavnogo tekhnologichnogo universitetu - Visnyk of Chernihiv State Technological University, series "Economic sciences”. 4. pp. 209-217. (In Ukraimian)

30. Shkarlet, S.M. Ilchuk, V.P. & Lysenko, I.V. (2014) Methodological approaches to de-termination of economic efficiency of clusters' functioning. Visnik Chernigivs'kogo Derzhavnogo Tekhnologichnogo Universitetu Seriya "Ekonomichni nauki” - Visnyk of Chernihiv State Technological University, series "Economic sciences”. 2. pp. 25-34. (In Ukrainian)

31. Solvell, O. (2009) Clusters. Balancing Evolutionary and Constructive Forces. Stock-holm: Ivory Tower Publishers.

32. Sukhanova, P.A. (2017) Topical issues of research on the effectiveness of territorial development: new concepts of cluster development in Europe. Ekonomika: vchera, segodnya, zavtra - Economics: Yesterday, Today and Tomorrow. 7 (7A). pp. 120-133. (In Russian).

33. Tyukavkin, N. M. (2013) Methods of estimate of effectiveness of functioning of clus-ters in industry. Osnovy ekonomiki, upravleniia i prava - Economy, Governance and Law Basis. 3 (9). pp. 109-113. (In Russian).

34. Battalova, A.A. (2013). Assessment of the Clustering Potential of the Industry. Vest- nik evraziyskoy nauki - Bulletin of Eurasian Science. 6 (19). pp. 1-8. (In Russian).

35. Belles, R. J., & Omitaomu O. A. (2014) Evaluation of Potential Locations for Siting Small Modular Reactors Near Federal Energy Clusters to Support Federal Clean Energy Goals. Tennessee: Oak Ridge National Laboratory.

36. Dyrdonova, A.N. (2016) Methodological Approach to Evaluation of Clustering Poten-tial and Efficiency Improvement Management for Development of the Regional Industry Clusters. International Journal of Economics and Financial Issues. 6 (S1). pp. 243-248.

37. Shvakov, E.E. & Klepikova, N.I. (2012) Assessment of the economic entities in the creation of the cluster: A system of indicators and methodological approach to its implemen-tation. Mir Nauki, Kul'tury, Obrazovaniya - World of Science, Culture, Education. 6 (37). pp. 114-117. (In Russian).

38. Trachenko, M.B. & Gaisha, O.D. (2018) Control over Funding for Innovation Territo-rial Clusters in Russia. Finansy i Kredit - Finance and Credit. 24 (8). pp. 1938-1952. (In Russian).

39. Organization of the Petroleum Exporting Countries. (2017) Annual Statistical Bulle-tin. 148.

40. Schwab, K. (2018) The Global Competitiveness Report. [Online] Available from: http://reports.weforum.org/global-competitiveness-report-2018/country-economy- profiles/#economy=IRN. (Accessed: 24.03.2020).

41. Embassies of the Islamic Republic of Iran in Moscow. (2019) Constitution of the Is-lamic Republic of Iran. [Online] Available from: http://www.ru.moscow.mfa.ir/index.aspx? fkeyid=&siteid=410&pageid=12686. (Accessed: 20.11.2019).

42. Directorate-General for Enterprise and Industry (European Commission) (2016) Inno-vation Clusters in Europe: A Statistical Analysis and Overview of Current Policy Support, 65. Publications Office of the EU.

43. Korchagina, I.V. (2017) Formirovanie i funktsionirovanie klasterov malykh i srednikh predpriyatiy regiona: metodika otsenki i klyuchevye tendentsii [Formation and Functioning of Clusters of Small and Medium-Sized Enterprises in the Region: Methods of Assessment and Key Trends]. Regional'nye roblempreobrazovaniya ekonomiki. 3 (77). pp. 53-59.

44. Mantaeva, E.I. & Mancaeva, A.A. (2017) Algorithm for Identifying the Prospects of Creating a Regional Economic Cluster.

Траченко МБ., Гайша О.Д., Джиоев В. А.

«КЛАСТЕРИЗАЦИЯ КАК ФАКТОР ПОВЫШЕНИЯ ИНВЕСТИЦИОННОЙ ПРИВЛЕКАТЕЛЬНОСТИ ИСЛАМСКОЙ РЕСПУБЛИКИ ИРАН»

Инвестиционная политика является прочной основой формирования и развития наци-ональной экономики - она направлена на создание новых рабочих мест, осуществление структурных изменений в отраслях промышленности и иных сфер хозяйствования на основе внедрения новой техники и технологий, привлечения различных форм капитала. Целью настоящей работы является адаптация разработанной ранее авторской ме-тодики проведения экспресс-анализа инвестиционной привлекательности регионов для проведения анализа инвестиционной привлекательности стран Ближнего Востока и Северной Африки (БВСА), а также распространении международного опыта класте-ризации в сфере инновационной деятельности. В рамках настоящего исследования был проведен анализ стран БВСА и выявлены преимущества и недостатки стран. Анализ инвестиционной привлекательности стран БВСА может быть полезен при принятии решений инвесторами, правительствами и всеми заинтересованными сторонами. Опыт таких развитых стран как США, Япония, Германия и Франция демонстрирует применение кластерной концепции как эффективного инструмента, способствующего повышению конкурентоспособности как отдельных регионов базирования кластеров, так и страны в целом, развитию предпринимательства и инноваций. В результате исследования авторами предложены мероприятия по внедрению и распространению инновационных кластеров на территории Исламской Республики Иран, соответству-ющие мировым тенденциям ускорения внедрения и усиления экономического влияния технологических инноваций на мировой рынок. В рамках настоящего исследования использовались методы библиографического и логического анализа, а также синтез и системный подход.

Ключевые слова: инвестиции, инвестиционная привлекательность, инвестиционный климат, индекс инвестиционной привлекательности, анализ инвестиционной привле-кательности, кластер, промышленный кластер, инновационный кластер.


Подобные документы

  • Investments as an economic category, and their role in the development of macro- and microeconomics. Classification of investments and their structure. Investment activity and policy in Kazakhstan: trends and priorities. Foreign investment by industry.

    курсовая работа [38,8 K], добавлен 05.05.2014

  • Theoretical aspects of investment climate in Ukraine. The essence of investment climate. Factors that forming investment climate. Dynamics of foreign direct investment (FDI) in Ukraine. Ways of improving the mechanism of attracting foreign investment.

    курсовая работа [155,2 K], добавлен 19.05.2016

  • Government’s export promotion policy. Georgian export promotion agency. Foreign investment promotion. Government’s foreign investment promotion policy. Foreign investment advisory council. Taxation system and tax rates in Georgia.

    курсовая работа [644,0 K], добавлен 24.08.2005

  • The essence of agrarian relations: economic structure and specificity. The land rent, land price as a capitalized rent. History of the formation of agricultural sector of Ukraine, its reforms. Assessment of the investment attractiveness of AIC of Ukraine.

    курсовая работа [1,1 M], добавлен 04.01.2016

  • Establishing a favorable environment for investments, removing administrative barriers. Establishing high-technology parks. Formation of financial mechanisms to attract and support investments, tax stimulation measures. Brand promotion of Russian regions.

    реферат [15,9 K], добавлен 04.06.2013

  • Analysis of the causes of the disintegration of Ukraine and Russia and the Association of Ukraine with the European Union. Reducing trade barriers, reform and the involvement of Ukraine in the international network by attracting foreign investment.

    статья [35,7 K], добавлен 19.09.2017

  • Формирование корпоративных структур. Порядок государственного регулирования деятельности. Мировая практика деятельности холдингов. Финансовые показатели, управление, органы управления, факторы роста, управление рисками в АО "System Capital Management".

    реферат [179,4 K], добавлен 24.01.2014

  • Gas pipeline construction: calculating the pipe diameter, the pressure required for the transportation of natural gas compressors. The definition of capital costs for construction and operation of the pipeline. Financial management of the project.

    статья [774,7 K], добавлен 05.12.2012

  • Antitrust regulation of monopolies. The formation and methods of antitrust policy in Russia. Several key areas of antitrust policy: stimulating entrepreneurship, the development of competition began, organizational and legal support for antitrust policy.

    эссе [39,2 K], добавлен 04.06.2012

  • Short and long run macroeconomic model. Saving and Investment in Italy, small open economy. Government expenditure and saving scatterplot. Loanable market equilibrium in closed economy in the USA. Okun’s Law in the USA and Italy, keynesian cross.

    курсовая работа [1,6 M], добавлен 20.11.2013

Работы в архивах красиво оформлены согласно требованиям ВУЗов и содержат рисунки, диаграммы, формулы и т.д.
PPT, PPTX и PDF-файлы представлены только в архивах.
Рекомендуем скачать работу.