The participation of farmers in innovative contract solutions based on secondary data analyses (M34)

D3.1 The participation of farmers in innovative contract solutions based on secondary data analyses (M34)

Author/ s: Dupraz, P., Hamunen, K., Issanchou, A., Kurttila, M., Le Gloux, F., Raina, N., Viaggi, D., Viitala, E.-J.

Contributors: 

All partners

Summary

Secondary data analyses are useful to understand ex-post the participation of farmers in innovative contract solutions and then to assess the expected supply of the targeted public goods (PGs). This is important to assess the possibilities of PG demand and supply matching. Moreover, analysis of secondary data may provide strategic information about the consequences of innovative contracts in terms of commodity production changes, farm labour/land/input demand changes and some environmental side effects. These are pieces of information always requested by public authorities, especially local ones since production often means labour demand in local downstream industry. They are also requested by private organizations willing to finance payments for environmental services (PES), e.g. carbon sequestration, to communicate on the bundle of PGs they pay for. The participation of CONSOLE partner teams in secondary data analysis first depends on the availability of relevant data in their country or Case Study Region (CSR). Innovative contract indicators must correspond to the data base variables or data base variables should be good proxies of the relevant indicators governing the innovative contracts. Where sufficient information is available, it is expected to retrieve these data and to analyse them using econometric tools, in order to estimate ex-post features affecting supply of agri- environmental climate public goods (AECPGs) and the effect of policy design, location and selection criteria on this supply.
The work carried out in the period has focused on understanding the availability of secondary data and in discussing the role they could have in the project. In particular, attention has been focused on the contribution they could give to WP4 in terms of e.g. cost, that could support model implement

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