Transcript Transition to Market Economy

TRANSITION TO MARKET
ECONOMY
IN CASE OF GI ?
By Katalin Tóth
6th EC-GIS Institute of Geodesy, Cartography and Remote
WORKSHOP
Sensing, Budapest
1989
H
I
S
T
O
R
Y
TRANSITION OF ECONOMY
PLANIFICATION
MARKET ECONOMY
GI
M
A
R
K
E
T
TURNOVER OF HUNGARIAN GI
RELATED COMPANIES (kHUF)
3500
3000
2500
2000
1500
1000
500
0
1990 1991 1992 1993 1994 1995 1996 1997 1998
DEMAND
GI
M
A
R
K
E
T
• Government (planning, monitoring,
self governments)
• Private sector (utilities, telecom
companies, infrastructure)
OFFER
• NMA (Basic & derived data,
only 2% of total turnover of the
sector)
• Private companies (some 60-70
mainly SME)
TRENDS OF DEVELOPMENT
GI
M
A
R
K
E
T
GIS
1996-97
30%
1997-98
10%
GDP
4,8%
Concentration of the market
5 companies cover
1998
44% of the market
15 companies cover
72% of the market
GI
M
A
R
K
E
T
I
N
G
MARKET RESEARCH
•In every 2 years - limited mainly to the offer
• No sufficient interactions with the users the GI products do not always correspond
to the needs o users
•The Hungarian user is price sensitive
• For sustaining the growth wide
promotion activities are required
WHAT IS SOLD?
•Data?
•Product?
The role of NMA
P
R
O
D
U
C
T
S
• Prepare and enable a general data policy
•Elaborate a coherent pricing system
• Define the legal framework for the use
of data
•(Control the use of the data)
E
X
A
M
P
L
E
MKH - HUNGARIAN ADMINISTRATIVE
BOUNDARY DATABASE
TECHNICAL CHARACTERISTICS
•Source: cadastral data
• Input: co-ordinates of directly measured
points
• Derived products: databases of different
resolution compiled by generalisation
E
X
A
M
P
L
E
MKH - HUNGARIAN ADMINISTRATIVE
BOUNDARY DATABASE
PRICING OF THE PRODUCT
•For original data: ministerial directives:
1 point: HUF 80 + VAT
Full country:
•Derived products: price-list
Polygon-based hybrid system with
„monetary” generalisation
E
X
A
M
P
L
E
MKH - HUNGARIAN ADMINISTRATIVE
BOUNDARY DATABASE
DERIVED PRODUCTS: PRICE-LIST
Resolution
Data source
level
1m
2m
5m
10 m
20 m
50 m
70 m
100 m
200 m
500 m
Approximate Accuracy of
scale
co-ordinates
--1 cm
1 : 5 000
1 : 10 000
1 : 25 000
1 : 50 000
1 : 100 000
1 : 250 000
1 : 350 000
1 : 500 000
1 : 1 000 000
1 : 2 500 000
1m
1m
1m
1m
10 m
10 m
10 m
10 m
100 m
100 m
Price for the Number of
whole country sales (1999)
1 933 000 (1)
0
1 740 000
1 353 000
773 000
386 000
193 000
97 000
77 000
58 000
39 000
19 000
2
0
1
3 (1)
1 (1)
1
0
5
0
5
TRANSITION…
IS IT REALLY
POSSIBLE?
C
O
N
C
L
U
S
I
O
N
NO
•In case of basic data
YES
•In case o derived data
WHAT’S NEXT?
• Persuade the competent organisations that
the tasks in this field should be solved
• Elaborate numeric examples of pricing, for
demonstration of different methods
F
I
N
A
L
L
Y
[email protected]