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Demographic marine-economics potential

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Methodological aspects

The above-stated method of comprehensive estimation for coastal regions condition requires the big informational base, and besides, the ingredients are represented rather hard problem with ambiguous algorithms of parameterization and the accounts. However in some cases probably to simplify the decision of a task, having applied methods of the preliminary analysis (so-called express analysis or the express-estimation), promoting setting off the basic priority regions.

The basic difficulty in usage of this method consists in search and substantiation of choice of such labeling indicator. For research of a social and economic significance and sustainability of development of coastal regions, as such parameter can be usage the parameter of relative population in coast human settlements. As the indicator for spend the common analysis of demographic aspects of coastal regions it’s possible to use a demographic marine-economics potential (DMEP).

Considering the characteristics defining the given parameter for conditions, it is possible to present its expression as aggregate of following numerical complexes:

~DMEP=f({\frac  {P_{R}}{S_{R}}},{\frac  {P_{R}}{L}},{\frac  {n}{H}},{\frac  {D_{R}}{D}}),

where PR - population of coastal areas of region, thousand;

SR - the total area of coastal areas of region, thousand km2;

L - extent of shore line of coastal region, km;

H - the weighted-mean distance of living of inhabitants of human settlements up to shore line, km;

n - quantity of cities, towns and other urban settlements, and also administrative centers of local municipalities of coastal areas of the region;

D - population density of coastal region, in general, inh/km2;

DR - population density of coastal areas of the region, inh/km2.

As human settlements it’s possible to understand all cities, towns and other urban settlements and also administrative centers of coastal region of more low level of governance (i.e. local municipalities, as more low level of governance of province, for example).

Proceeding from kinds of associations (direct or inverse) of required function and parameters, it can receive functional expression for DMEP parameter in the form of:

 ~DMEP={\sqrt  {{\frac  {P_{R}^{2}\cdot n}{S_{R}\cdot LH}}}}\cdot {\frac  {D_{R}}{D}}={\sqrt  {{\frac  {n}{S_{R}\cdot LH}}}}\cdot P_{R}\cdot {\frac  {D_{R}}{D}},

Thus the value of the weighted-mean distance H is as:

~H={\frac  {\sum _{{i=1}}^{{n}}{P_{i}\cdot H_{i}}}{\sum _{{i=1}}^{{n}}{P_{i}}}},

where Pi - population of human settlement, thousand;

Hi - distance from human settlement up to shore line, km.

Total DMEP value is the complex magnitude with dimensional inh/km2, i.e. dimension of population density. Thus, the given parameter reflecting a degree of possible security of considered coastal region by labor forces for realization of marine activity, in the further it’s possible to name as coastal population density (CPD).


Opportunity of application of indicator techniques for the coastal zones on the regional level (examples of the Russian Federation)

For the analysis of coastal regions of the Russian Federation we shall enter following assumptions.

First, as coastal regions of the Russian Federation we shall understand coastal Subjects of the Russian Federation.

Secondly, for more correct analysis we shall consider the following aggregates of Subjects as one region:

  • The Arkhangelsk region, as aggregate of the Arkhangelsk District and Nenets Autonomous Area.
  • The Leningrad region, as aggregate of Leningrad District and St. Petersburg.

Thirdly, Taimyr (Dolgano-Nenets) Autonomous Area is considered as separate region, not as the constituent of Krasnoyarsk Territory which he is since January, 1st, 2007.

So, there were viewed 19 coastal regions of the Russian Federation.


General analysis of demographic aspects of coastal regions of the Russian Federation

Parameters and values of coastal population density are showed in table 1 and in figure 1.

Table 1. Distribution of values of coastal population density (CPD) on regions of the Russian Federation
Figure 1. Distribution of coastal population density (CPD) values on regions of the Russian Federation

By results of the accounts of coastal population density values the marking of following groups of regions is possible:

  • Regions with high values of coastal population density (Murmansk District, Primorye Territory, Dagestan Republic, Krasnodar Territory, Rostov District, Kaliningrad District and Leningrad Region), for which the value of coastal population density more than 1 inh/km2 (more than 0 on a logarithmic scale);
  • Regions with significant values of coastal population density (Arkhangelsk Region, Sakhalin District and Astrakhan District), for which the values of coastal population density more than 0.3 inh/km2 (more than -1 on a logarithmic scale);
  • Regions with negligible values of coastal population density (Magadan District, Kamchatka Region and Kalmykia Republic), for which the values of coastal population density more than 0.1 inh/km2 (more -2 on a logarithmic scale);
  • Regions with low values of coastal population density (Kareliya Republic, Yamal-Nenets Autonomous Area, Taimyr (Dolgano-Nenets) Autonomous Area, Sakha Republic, Chukotski Autonomous Area and Khabarovsk Territory), for which the values of coastal population density less than 0.1 inh/km2 (less -2 on a logarithmic scale).

As a result, it is possible to conclude that the most perspective for regional development of marine activity from the demographic point of view present regions with high and significant values of coastal population density, and partially regions with negligible values of coastal population density for which the development of the concentrated branches of marine activity is possible. It’s mean that only 13 coastal regions of the Russian Federation have really possibilities to develop of the marine activity policy. Regions with low coastal population density have low perspectives for development of marine activity, firstly because their demographic weakness.


References

  1. Гогоберидзе Г.Г. Индикаторные методы как инструмент комплексного анализа и оценки приморских территорий. // Вестник ИНЖЕКОНА. Серия «Экономика». – № 3. – 2008. (Gogoberidze G. Indicator methods as a tool for comprehensive analysis and estimation of the coastal territories, 2008., on Russian).
  2. Гогоберидзе Г.Г. Комплексное регионирование приморских территорий Мирового океана. Монография. – СПб.: Изд. РГГМУ, 2007. – 396 с. (Gogoberidze G. Comprehensive regionalization of the coastal territories of the World ocean, 2007., on Russian).
  3. Гогоберидзе Г.Г. Понятие и сущность морехозяйственного потенциала прибрежных зон и приморских территорий. // Проблемы современной экономики. – № 3. – 2008. (Gogoberidze G. Conception of the marine economy potential of the coastal zones, 2008., on Russian).
  4. Гогоберидзе Г.Г. Оценка демографического морехозяйственного потенциала приморских регионов Российской Федерации. // Экономика и организация (ЭКО). – № 3. – 2008. (Gogoberidze G. Estimation of the Conception of the demographic marine-economics potential for coastal regions of the Russian Federation, 2008., on Russian).


The main author of this article is Gogoberidze, Georgy
Please note that others may also have edited the contents of this article.