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CPS2259 Florabela Carausu et al.



                             Functional Areas: opportunities for “Leave no
                             one behind’ agenda and statistical challenges
                                                                     1
                                    Florabela Carausu , Ibtissam Sahir
                                                     1
                                          1 GOPA Luxembourg S.a r.l
               Abstract
               It  is  widely  recognised  that  reliable  data  are  the  cornerstone  of  evidence-
               based decision making, and in particular it is at the local or regional level
               where concrete and reliable data remain scarce. The call for more focus on the
               geographical breakdown can serve – among others - to monitor Sustainable
               Development Goals (SDGs) at sub-national level, in line with the commitment
               to Leave no one behind, envisaged by the SDG Agenda 2030.
                      If  it  is  commonly  agreed  that  the  effectiveness  of  policy  making
               requires a lower level of analysis and intervention, the selection of the sub-
               national level is key for its efficiency. A lower level is needed for policy making,
               and data is needed for analysing and interpreting adequately the social and
               economic interactions within the territory, so as to ensure that those staying
               behind do not get left behind. An analogy in the approach to development
               planning  and  monitoring,  with  the  shift  from  regional  policy  to  territorial
               cohesion, and the current targeting of functional areas instead of the classical
               regions,  in  the  European  context,  is  done  with  the  aim  to  promote  this
               approach in different contexts.
                      The territorial interdependencies and interaction imply that almost any
               development  issue  has  to  extend  beyond  the  administrative  borders.  The
               examples  are  diverse,  from  social  inclusion  to  industrial  and  economic
               synergies, to environmental challenges or infrastructure provision, etc. This
               improved orientation to policy making establishes a real challenge from the
               statistical point of view. On one side, data should be available for the definition
               or  delineation  of  functional  areas,  and  furthermore,  the  methods  for  the
               delineation of functional areas, as the Labour Market Areas case study showed,
               are sensitive to the quality of the input data. On the other side, once defined
               the functional areas, data and indicators at their level should be produced with
               certain regularity in order to allow for the monitoring and evaluation of the
               targeted  measures.  The  necessity  of  continuation  makes  the  difference
               between action oriented analysis and decision oriented analysis.

               Keywords
               functional areas; Leave no one behind; regional and territorial statistics; official
               statistics; SDGs


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