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Dynamic Analysis of Policy Priorities

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Title: Dynamic Analysis of Policy Priorities


1
Dynamic Analysis of Policy Priorities
  • Andrzej M.J. Skulimowski
  • OR Department, AGH University of Science
    Technology,
  • Centre for Decision Sciences and Forecasting
  • Progress Business Foundation, Kraków, Poland
  • www.foresight.pl, ams_at_agh.edu.pl

2
Foresight and Multicriteria Analysis
  • - A relevant application area of the MCDM
    methods
  • Source of additional preference information for
    solving MCDM problems
  • Priority rankings as one of the key issues
  • An ad hoc definition from the OR analyst point of
    view
  • An approach to explore the future by defining
    scenarios, eliciting expert knowledge, and
    planning conditional (rule-based) future actions

3
Multicriteria rankings in foresight
  • What is to be ranked
  • Technologies
  • Scenarios
  • Policies (policy strategies)
  • Policy areas (as superordinated to policies)
  • Research areas
  • Research, economic, policy subjects and objects
  • NOTE usually indicators are imposed by law or
    are standardised
  • Ranking criteria
  • lifetime, costs of acquisition and maintenance,
    environmental impact
  • Probability of occurrence
  • c) and d) Aggregated economical (GDP pc),
    sustainability (total emmission) and social
    (unemployment etc.) indicators informally
    expected image at the voters
  • e) Value of expected technology transfer, chnace
    to take part in international research
    programmes, number of patents, publications etc.

4
Building a ranking in a foresight exercise 1.
Classical approach
  • Step 1. Define the objects to be ranked (this may
    be a part of the previous stages of a foresight
    exercise)
  • Step 2. Associate the criteria to the objects
  • Step 3. Gather and represent the knowledge about
    the future (trends, scenarios, experts
    assessments, forecasts, and their mutual
    relations)
  • Step 4. Build the ranking NOW to be applied in
    FUTURE (a playground for outranking methods)
  • Step 5. Translate the quantitative results into
    the experts recommendations to be presented to
    the decision-makers
  • Repeat Steps 3-5 after every change of
    decision-makers or external circumstances

5
Building a ranking in a foresight exercise 2.
Dynamic approach
  • Step 1. Define the objects to be ranked and their
    transformation dynamics during the foresight
    period
  • Step 2. Associate the criteria (as functions of
    time) to the objects
  • Step 3. Assign the Initial Relative Importance
    Factors to the policy areas
  • Step 4. Gather and represent the knowledge about
    the future (trends, scenarios, experts
    assessments, forecasts, and their mutual
    relations, and describe quantitatively the
    dependence of (n1)th moment policy priorities on
    the n-th)
  • Step 5. Build the ranking NOW to be applied in
    FUTURE (a playground for outranking methods) and
    UPDATED according to predefined policy rules
    every time after an intermediate goal is attained
    or when external circumstances occur
  • Step 6. Translate the quantitative results into
    the experts recommendations to be presented to
    the decision-makers, including the potential
    results of the prior attainment of certain policy
    goals
  • Step 6a. Present the temporal preference
    structure for the policy targets to be attained

6
A case study Building the regional dynamic
policy rankings for the Malopolska Voivodship,
Poland
7
(No Transcript)
8
Foresight objectives
  • Explore the results of the economic and
    technology-related data acquisition performed
    within the exercise
  • Verify the expert indications concerning the role
    of the region until 2020
  • Show the ways (i.e. build scenarios) of
    integrating the Malopolska region in Europe
  • Extrapolate the goals defined in the Regional
    Development Strategy until 2020 and beyond
  • Define the dynamic policy rankings for the
    Regional Government until 2020

9
Strategic goals of the region as implied by the
Regional Development Strategy
  • Education and enterpreunership
  • Environmental problems sustainably solved
  • Durable economic development
  • Better accessibility of the region by air,
    motorways, and rail
  • Intra-regional co-operation for sustainable
    development of Europe

10
SWOTC ANALYSIS FOR MALOPOLSKA
  • Strenghts
  • Major tourist attractions in Poland
  • A. Cultural Wawel Castle, Old Kraków,
    Wieliczka Salt Mine and Museum, regularly
    organised festivals and other cultural events
  • B. Natural Tatra, Beskidy and Pieniny
    Mountains, Dunajec Gorge
  • Rich traditions in the classic, jazz and pop
    music
  • Well-known theaters
  • Well-developed infrastructure for winter sports
  • Well-developed phonographic industry and
    distribution sector
  • Weaknesses
  • Low attractiveness of the region as the site of
    publishers, media groups and related companies
  • Low level of foregn investment in the media and
    tourism sectors
  • Insufficient promotion of cultural events by
    local media
  • Lack of co-ordinated culture support policy
    (Voivodship vs. Municipal authorities)
  • Insufficient or inadequate promotion of the
    region abroad
  • Lack of tourism promotion co-ordination between
    the regional and municipal authorities
  • Insufficient tourist information

11
  • Opportunities
  • Development of small specialised publishers based
    on the local academic infrastructure
  • Active promotion in the web
  • Kraków as a friendly place of living of a number
    of well-known authors and artists and its
    multiplicative effect
  • Development of small cultural-sector enterprises
    based on commercial principles and targeted
    subventions
  • Emergence of high-quality and affordable tourist
    services
  • Low-cost airlines make visists in the region
    affordable
  • Threats
  • Subvention-mentality hinders enterpreunership in
    tourism and culture
  • Too-high taxes and labour costs slow-down the
    development of tourism
  • The number of active artists and authors
    decreases, which leads to the desertification of
    cultural life
  • The incompetence of local government officials
    leads to systematic loosing of opportunities
  • Rising criminality, homeless dogs in villages,
    and illegal waste deposits become hampering
    factors for tourism in some areas

12
Quantitative foresight analysis
  • The targets elicited during the first steps of
    the exercise had to be ranked using three
    multicriteria analysis methods REFSET,
    Controlled Goal Attainment and Contracting
    (Trade-off) Cone
  • Relative importance factors have been assigned
  • Target ranking dynamics has been considered,
    taking into account the momentary state of
    development of the region and cross-impact
    analysis of targets.
  • (Nb. these targets were adjusted with the
    Regional Development Strategy)
  • Forecasts of the regions population, human
    resources development, economic growth and social
    preferences until 2020 have been taken into
    account

13
Results of the dynamic priority analysis for the
Malopolska region
14
B. Indications for the authorities
  • The tourism marketing strategies of the whole
    region and individual municipalities should be
    effective and mutually co-ordinated
  • Investment strategy in tourism should aim at a
    affordable, attractive and complementary system
    of services
  • Better promotion of less-known attractions of the
    region
  • Better inclusion of the needs of tourism in the
    regional (spatial) planning
  • Assuring better accessibility of the region from
    abroad
  • Development of information systems about tourism
    in the region, web-based as well as personal
    on-site information

15
C. Development of the economic potential of the
region Indications to the authorities (an
output of a dynamic ranking)
  • Better exploring the benefits provided by the
    advanced technologies sector
  • Active lobbying for attracting large companies to
    establish their research, management and logistic
    centres in Kraków and other cities in the region
  • Assuring better co-operation of the RD sector
    and industry
  • Development of the higher learning sector (from
    over 100 ths. of students in 2006 to 120 ths. in
    2020)

16
Development of specialised services
  • Preferred services to be supported by the local
    policies (as a result of dynamic ranking)
  • Economic, legal and managerial consulting
  • Specialised medical services
  • Financial services and investment intermediary
  • Organisation of exhibitions, conventions,
    conferences
  • Professional and specialised training and adult
    education
  • Public relations, media etc.

17
Results of foresight analysis the dynamics of
the demografic structure of Malopolska until 2020
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