We present a statistical-economic approach based on the integration between the literature on local development and the human development perspective


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- We present a statistical-economic approach based on the integration between the literature on local development and the human development perspective.

  • - We present a statistical-economic approach based on the integration between the literature on local development and the human development perspective.

  • - This integration focuses on local opportunities and it applies an innovative interpretative framework to sub-regional development paths of Tuscany provinces which jointly analyses the economic and the social dimensions at local level.

































Rationales for unit of analysis and data base

  • Rationales for unit of analysis and data base

  • Characteristics of the analysis:

  • Dynamic (1998-2010): medium-term analysis with 4-years intervals

  • Multidimensional: economic and social dimensions with 5 sub-dimensions each



- 1998

  • - 1998

  • - 2002

  • - 2006

  • - 2010 (or most recent data: 2008-2009)

  •  4-years intervals are needed to observe significant movements on Local Human Development trajectories





- Missing data in panel series

  • - Missing data in panel series

  • e.g. Institutional structures and processes (e.g. start up new enterprises, corruption, …); GDP per capita corrected by inequality; Renewable energy; Job-training for persons with disability.

  • - Change in some statistical indicators

  • - Poor territorial disaggregation of data (province level)

















- Most units follow routes quite close to a synergic pattern in Tuscany during the first period

  • - Most units follow routes quite close to a synergic pattern in Tuscany during the first period

  • - Similar trajectory 1998-2002 except for Livorno and Massa-Carrara (decline ED)

  • - Impact of recent financial crisis: immediate dramatic decline in SD in all provinces

  • - ED seems to diminish sensitively its level



The sensitivity analysis confirmed our results (not driven by a unique group of variables).

  • The sensitivity analysis confirmed our results (not driven by a unique group of variables).

  • The disaggregate analysis in the ED indicates a more diffused attention towards variables affecting wealth, employment and credit opportunities.

  • - The disaggregate analysis in the SD indicates a general tendency towards a more synergistic path before the crisis.

  • - The economic and social dimensions interactions



- Relevance of changing perspective and objective with an integrated framework focused on ED-SD synergies

  • - Relevance of changing perspective and objective with an integrated framework focused on ED-SD synergies

  • - Benefit of path analysis with an evolutionary medium-term view:

  • Replicable to other case studies

  • Easy to be continuously updated

  • Policy implications



Improving data selection and collection

  • Improving data selection and collection

  • On-going discussion on dimensions, opportunities and variables

  • - Application to different regions and to different unit of analysis (e.g. local development systems and/or local labour systems)

  • Systematic cross-validation with other reports and empirical analyses












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