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Classification of regional development modeling studies
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| bet | 2/4 | | Sana | 21.06.2023 | | Hajmi | 30.99 Kb. | | #74837 |
Bog'liq Sattorov\'s article Indiya 9.-Конфликтология-, Avloniy Konferensiya materiallari to`plami 22.06.2022, 2.01...MATN LINGVISTIKASI, FIZIKA FANIDAN TEST SAVOLLARI, Assalom fizika, Mustaqil ish, MOXLAROYIM, Malaka oshirgan o\'qituvchilar, Geografik joylashuvi, ilhom, 4, Документ Microsoft Word (3), test, 2Kurs ishi tayyori Tursunova UmidaClassification of regional development modeling studies
o/n
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Spatial coverage
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Model type
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Explain and predict
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Planning and Policy
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1.
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Interregional or multiregional
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Input/output
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Multi-regional scheduling
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Spatial General Equilibrium
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Economic Growth
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Central location
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Minimize transportation and/or investment
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Migration
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2.
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Regional
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Check in/out
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Mathematical programming
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Major/non-major
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Spatial competition
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Growth pole
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Availability
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3.
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Interregional
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The balance of urban land
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Optimizing transport/land use
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Transportation
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Spatial interaction
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Cost-benefit
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All regional development studies use the models presented in the table, but this classification is not isolated and in no way limited to scientific research. Following Leontev's early work on national input-output modeling[16], Isard formulated a general interregional input-output model[17]. However, although this model was developed in the 1950s, it is still not widely used. A direct reformulation of the Leontev model as a regional input-output model has achieved great success.
It has been used in different countries at all geographic levels, often supplemented by independent econometric estimates of import, export, and consumption functions. Spatial general equilibrium models have been little used due to the lack of theories and the lack of statistical data to support or refute them. To overcome this problem, Lefebvre developed a spatial general equilibrium model, but the brief approach to the transport sector led to some problems[18]. The theoretical analysis of location by Koopmans and Beckmann[19], as well as classical studies by Hotelling, suggest various reasons why market equilibrium cannot be maintained even theoretically in a multi-regional system[20].
Studying these models, Koopmans and Beckmann highlight the indivisibility of some factors as one of the possible explanations, while Hotelling emphasizes the small number of factors. Although both of these results have been questioned in recent studies, they are recognized as practical general equilibrium models of interregional development. However, recent research suggests that many econometric regional models rely on equilibrium concepts.
The past decade has seen significant development in the use of equilibrium models to study regional land use patterns. These models, often called "new models of the urban economy", derive from the work of Alonso[21] and Muth[22] on the functioning of the urban housing market. They have reached the stage of application in many cities, especially in combination with balanced urban transport models. There has been increased interest in integrated land use and transport models at the regional and interregional scale, as well as in disequilibrium or partial equilibrium. The first major models of urban and regional processes belong to this category.
Some of them, for example, the non-core model developed by Lowry, have been very successful and have led to the development of a new class of models, which are currently called "spatial interaction models" [23]. Wilson[24] is the most prominent representative of this modeling approach. Of course, other models have been developed, including the very large scale transport models developed by Forrester in the US[25] that have not been successful and have not even reached the application stage.
The main criticism was related to the "overly optimistic" view of the usefulness of computer techniques in regional planning. Nevertheless, spatial interaction models provided planners with computer-based tools for quantitative modeling that were not available in the early 1960s. Very slow progress was observed in the modeling of regional production models. Urban land allocation is generally seen as a matter of dividing land between residential and transport uses, which assumes that manufacturing always takes precedence over other activities in central locations.
Studying these models, Koopmans and Beckmann highlight the indivisibility of some factors as one of the possible explanations, while Hotelling emphasizes the small number of factors. Although both of these results have been questioned in recent studies, they are recognized as practical general equilibrium models of interregional development. However, recent research suggests that many econometric regional models rely on equilibrium concepts.
It can be seen that the approval and application of the concept of "central place" in regional development planning is based on a certain rule. Rather than dealing with territorial units, such approaches assume that territorial development takes place in a network of interconnected villages, towns and cities that form a hierarchy. The concept is somewhat related to the idea of growth poles, which was developed by Perroux in relation to the French spatial planning system[26], although growth poles usually refer to a non-spatial system, the concepts of centrality are theoretically understandable and have not played a very important role in the development of quantitative models.
Nevertheless, the conceptual importance of the centrality and growth pole models should not be underestimated. These ideas have been used as a basis for policy formulation as well as for policy evaluation in a number of European countries. In many cases, the same conditions can be derived from programming and simulation models. The primal-dual relationship of linear programming provides a framework by which the results of the optimization approach can be interpreted as market equilibrium. Alternatively, the basic problem expressed in terms of quantity allocation can be used to optimize the allocation of resources in a planned economy. If this similarity in the structure of the model reflects the similarity in real economic processes, then the planned and market economies are indeed dual, and both approach the same stationary state.
In general, the same mathematical theories are not applied in different economic systems. Western economic planners believe that programming models apply only to planned economies, while Eastern economic planners consider the shadow-price system invalid. Multi-regional planning models were developed by Tinbergen[27] and Aganbegyan, Bagrinovski, and Granbergs[28]. it is assumed that planning models should be used sequentially.
Although Tinbergen's models were established on a comprehensive basis, they were still based on cost minimization by linear models. They were followed by a number of other planning models with minimization of transport and/or investment costs as the main objective.
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