Assessing the efficiency gains of improved spatial targeting of policy interventions; the example of an agri-environmental scheme

Horst, Dan van der

doi:10.1016/j.jenvman.2006.11.034

Cited by 40 publications

(16 citation statements)

References 34 publications

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“…Under the (Figure 4). This is consistent with relevant findings in the literature that identified benefit-cost targeting as the most efficient, or cost effective, targeting strategy to allocate limited agri-environmental subsidy funds (e.g., Van der Horst 2007;Crossman and Bryan 2009;Hansen et al 2015). For all targeting strategies, the average cost of TP removal increased with increases in the budget (Figure 4).…”

Section: Pond Establishment Under Targeting Strategiessupporting

confidence: 88%

Economic Targeting of Agricultural Beneficial Management Practices to Address Phosphorus Runoff in Manitoba

Kelly

Belcher

Khakbazan

2017

Canadian J Agri Economics

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Section: Pond Establishment Under Targeting Strategiessupporting

confidence: 88%

Economic Targeting of Agricultural Beneficial Management Practices to Address Phosphorus Runoff in Manitoba

Kelly

Belcher

Khakbazan

2017

Canadian J Agri Economics

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“…Farmers' participation in AEMs is a basic requirement to achieve any environmental effect at all [5]. Increasing participation rates will specifically provide higher levels of environmental benefits (environmental effectiveness) if AEMs are targeted [8,[12][13][14][15]. Spatial targeting can be conducted at two levels.…”

Section: Introductionmentioning

confidence: 99%

How Local Intermediaries Improve the Effectiveness of Public Payment for Ecosystem Services Programs: The Role of Networks and Agri-Environmental Assistance

et al. 2015

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Large governmental payments for ecosystem services programs (PES) have frequently been criticized for their limited environmental effectiveness. The use of local intermediaries has been considered as one possibility for improving the environmental effectiveness of such programs. German Landcare Associations (LCAs) have been identified as one intermediary that holds the potential to positively influence the implementation of agri-environmental measures (AEMs). This paper empirically assesses the involvement of LCAs in the context of AEM implementation in Germany. An online questionnaire was distributed to all LCAs in Germany. In a first step, we examine if LCAs (1) provide social networks between stakeholders and (2) provide agri-environmental information and assistance to farmers. In a second step, the LCAs assess (3) their perception of how strongly their work influences farmers' participation in PES schemes and (4) if they pursue the spatial targeting of AEMs. In a third step, we relate the relative level of social networks and the provision of agri-environmental information and assistance to their stated influence on farmers' participation in and spatial targeting of AEMs. Finally we derive overall conclusions on how intermediaries can enhance the effectiveness of PES programs in general.

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“…When simplistic assumptions are made on both those parameters, the heterogeneity of the spatial variation of benefits tends to be higher than the one of costs. In such cases benefit targeting tends to deliver better results than cost targeting (van der Horst, 2007).…”

Section: Discussionmentioning

confidence: 99%

Targeting the impact of agri-environmental policy – Future scenarios in two less favoured areas in Portugal

Jones

Fleskens

Stroosnijder

2016

Journal of Environmental Management

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Targeting agri-environmental measures (AEM) improves their effectiveness in the delivery of public goods, provided the necessary coordination with other incentives. In less favoured areas (LFA) measures focusing on the conservation of extensive farming contribute to sustainable land management in these areas. In this paper we investigate the implementation of a possible AEM supporting the improvement of permanent pastures coordinated with the extensive livestock and single farm payments actually in place. Through applying a spatially-explicit mixed integer optimisation model we simulate future land use scenarios for two less favoured areas in Portugal (Centro and Alentejo) considering two policy scenarios: a 'targeted AEM', and a 'non-targeted AEM'. We then compare the results with a 'basic policy' option (reflecting a situation without AEM). This is done with regard to landscape-scale effects on the reduction of fire hazard and erosion risk, as well as effects on farm income. The results show that an AEM for permanent pastures would be more costeffective for erosion and fire hazard mitigation if implemented within a spatially targeted framework. However when cost-effectiveness is assessed with other indicators (e.g. net farm income and share of grazing livestock) 'non-targeted AEM' implementation delivers the best outcome in Alentejo. In Centro the implementation of an AEM involves important losses of income compared to the 'basic policy'. 'Targeted AEM' tends to favour farms in very marginal conditions, i.e. targeting is demonstrated to perform best in landscapes where spatial heterogeneity is higher. The results also show the risk of farm abandonment in the two studied less favoured areas: in all three scenarios more than 30% of arable land is deemed to be abandoned.

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Assessing the efficiency gains of improved spatial targeting of policy interventions; the example of an agri-environmental scheme

Cited by 40 publications

References 34 publications

Economic Targeting of Agricultural Beneficial Management Practices to Address Phosphorus Runoff in Manitoba

Economic Targeting of Agricultural Beneficial Management Practices to Address Phosphorus Runoff in Manitoba

How Local Intermediaries Improve the Effectiveness of Public Payment for Ecosystem Services Programs: The Role of Networks and Agri-Environmental Assistance

Targeting the impact of agri-environmental policy – Future scenarios in two less favoured areas in Portugal

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