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MYRDAL’S MODEL OF CUMULATIVE CAUSATION AND SPATIAL INTERACTION KAT AND SIMON

Evaluation of Myrdal’s model of cumulative causation and spatial interaction

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Page 1: Evaluation of Myrdal’s model of cumulative causation and spatial interaction

MYRDAL’S MODEL OF CUMULATIVE CAUSATION AND SPATIAL INTERACTION

KAT AND SIMON

Page 2: Evaluation of Myrdal’s model of cumulative causation and spatial interaction

MYRDAL’S BELIEFS

Over time, economic forces increase regional inequalities rather than reduce them.

Page 3: Evaluation of Myrdal’s model of cumulative causation and spatial interaction
Page 4: Evaluation of Myrdal’s model of cumulative causation and spatial interaction

COMPARATIVE ADVANTAGES

Location

Natural Resources

Labor

Improvements in Infrastructure

Skilled Workforce

Increased tax revenues

ACQUIRED ADVANTAGES

Page 5: Evaluation of Myrdal’s model of cumulative causation and spatial interaction

ANALYSIS

Good: Does not group development status by country

• Looks at areas geographically and more specifically

Good: Measures development by more than 1 factor of production

• Labor • Capital

Page 6: Evaluation of Myrdal’s model of cumulative causation and spatial interaction

ANALYSIS

Bad: Doesn’t consider measures taken by certain governments to alleviate economic disparity between regions

Applicable to Chinese Rural-Urban Migration

• Large development disparity between rural areas and cities like Shanghai/Beijing

• Developed areas in China (LEDC) are sporadic

Inapplicable to Poland – UK Migration

• Poland government has realized problem and is enforcing new rules/policies to prevent a stagnation in development• Higher wages• Maternal Leave