Full text: Proceedings International Workshop on Mobile Mapping Technology

Migration is the phenomenon, which include the 
economic decision, social consequences and spatial 
relation. Thus the process of the migration and 
individual decision to migrate is not so simple. While 
formulating the policy to address migration, all these 
factors should be considered. The literatures in the 
field of migration are mostly related to the economic 
factors along with some social consideration. May 
literature are found since long back, but Todaro 
(1969) has given the theoretical formulation on 
migration by including the rural urban wage gap and 
probability of getting urban job. This model became 
popular after Harris (Harris and Todaro, 1970) 
modified the original model by keeping the basic 
essence of the Todaro model. The lack of spatial 
consideration in the Todaro model is main constraint. 
The ignorance of the spatial or geographical factors 
might be due to the lack of data in developing 
countries. It can be also pointed out that the subject 
of migration is considered as only the matter of 
socioeconomic. 
With this background, the present study is proposed 
with the following objectives: 
General objective of this study is to define and 
address the migration problem by considering the 
socioeconomic and geo-spatial aspect of the rural as 
well as urban sector. The specific objectives are: 
• To generate the geo-spatial data for the 
estimation of possible rural wage pattern over 
time. 
• To establish the relationship among the 
migration, estimated resources parameters, wage, 
amenities and the RDP. 
• To validate and propose alternative migration 
model and policy along with alternative scenario. 
2 THE TODARO MODEL 
and thus inversely related to the urban 
unemployment rate. 
4) Migration rate in excess of urban job 
opportunity growth rates is not only possible but 
also rational and even likely in the face of wide 
urban-rural expected-income differentials. High 
rates of urban unemployment are therefore 
inevitable outcomes of the serious imbalance of 
economic opportunities between urban and rural 
areas in most underdeveloped countries. 
Thus the Todaro Model is written as 
M, = a * (p * W u - W r ) (1) 
Where, 
M,: Migrants in time t 
a: Responsiveness parameters (varies by 
culture, cost of moving) 
p: Probability of finding a job in urban area 
and given by: 
E U /(E U +U U ) 
Where, 
E u: Urban employment 
U u: Urban unemployment 
W u : Expected urban wage 
W r : Rural wage known with certainty 
In earlier version of Todara Model the flow of 
migration concept was taken and discounted present 
value was calculated for the planned time span of 
migrant, which he had decided to live in the urban 
area. The equation was written as (Todaro, 1969) 
K(0) = J[p(0K,(f) - Yr(t)]e' rt dt - C(0) ( 2 ) 
(-0 
This model considers two basic factors, that are 
expected wage difference and probability to get the 
job in urban area, which are responsible for the rural- 
urban migration even in the light of urban 
unemployment or underemployment. The model has 
the four basic characteristics (Todaro, 1997): 
1) Migration is stimulated primarily by rational 
economic considerations of relative benefits and 
costs, mostly financial but also psychological. 
2) The decision to migrate depends on expected 
rather than actual urban-rural real wage 
differentials, where the expected differential is 
determined by the interaction of two variables, 
the actual urban-rural wage differential and the 
probability of successfully obtain employment 
in the urban sector. 
3) The probability of obtaining an urban job is 
directly related to the urban employment rate 
and the migration will take place if it is positive. 
Where, 
V (0): 
№ 
Y u & Y r : 
C (0): 
Discounted present value 
Probability of job in period t 
Urban and Rural real wage 
Number of time period in migrants 
planning horizon 
Discount rate 
Cost of migration 
Probability is calculated as: say probability in x 
period after migration, p (x), is: 
p(l) = Jt(l) and p(2) = n (1) + [1 - Jt (1)] k (2), so 
p{x)=Ji{ 1) + 
X 
* (Ojjt 1 
-;r(s)] 
(3) 
Pl-5-2
	        
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