The Use of Behavioural Additionality in Innovation Policy-Making

Gök, Abdullah; Edler, Jakob

doi:10.2139/ssrn.1980648

Cited by 9 publications

(6 citation statements)

References 15 publications

(18 reference statements)

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“…Limiting our analysis to the agro-food sector, 5 the aim of the PRD is to promote diversification of cultures and eventually shifting the production from arboreal cultures (where international competitors are strengthening market positions) to a more entrepreneurial vision of the local agricultural economy. In pursuing this objective the regional policy is concentrating its effort in promoting development paths consistent with the renovation of the sector and providing services to agricultural companies and entrepreneurs willing to adhere to this vision.…”

Section: Policy Frameworkmentioning

confidence: 99%

“…More often these activities are carried out to build new knowledge in evaluation conceptualisation, practices and methods [1][2][3]. Increasingly, evaluation effort is also deployed in the phases of designing policy measures and programmes (a priori or ex-ante evaluation) in order to learn on the probable/ possible effects of policies and programmes, to gain hindsight and provide valuable input into the policy design at the decision making stage [4,5]. 1 In a recent paper Farmer and Foley [6], after highlighting how modern policy evaluation is still strongly anchored on classical econometric models, the more advanced of which can be traced to the family of dynamics stochastic general equilibrium modelsand the serious drawbacks when employed for longer terms policy evaluationstrongly advocate in favour of Agent Based models (ABM).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation and design of innovation policies in the agro-food sector: An application of multilevel self-regulating agents

Gagliardi

Niglia²,

Battistella

2014

Technological Forecasting and Social Change

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The aim of this paper is to explore the possibilities offered by agent-base modelling techniques in evaluating the impact of alternative sets of innovation policies on the system where these are implemented and on its actors. The policies selected for this exercise are inspired by the Regional Government's policy document - the Programme for Rural Development (2007-2013) of the Puglia Region, Italy. These regard, inter alia, the promotion of organic agriculture and GMO-free cultivar, the introduction of a zero-food-miles strategy and new regulations and controls to prevent food adulterations. The paper presents and discusses the results of the simulations showing a trade-off between alternative growth paths and the overall structure of the sector. A "light-touch approach" affects positively smallholdings, associations of micro-small enterprises and the local retail sector by promoting shorter and more rewarding routes to markets for food products. Pursuing the policies more aggressively, will shift the focus of economic activities towards larger enterprises in the primary sector, manufacturing and business services and towards the large distribution for retail, while smallholdings and associations of micro-small enterprises will be increasingly marginalised. © 2013 Published by Elsevier Inc

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Section: Policy Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation and design of innovation policies in the agro-food sector: An application of multilevel self-regulating agents

Gagliardi

Niglia²,

Battistella

2014

Technological Forecasting and Social Change

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“…In particular, different approximations of additionality seek to capture the changes in behavior among agents in a system that policies under evolutionary rationales are trying to provoke. Commonly grouped together under the broad concept of ''behavioural additionality'' (Buisseret et al, 1995), several different interpretations have been employed, ranging from an extension of input additionality to cover scale, scope, acceleration, and the like, to changes in the general conduct of the firm (Gok and Edler, 2012). While the growing use of this concept, particularly in the innovation policy field, demonstrates the importance attached to understanding the changes in behavior sought by today's competitiveness policies, Gok and Edler (2012) maintain that it remains a fuzzy concept with both theoretical and methodological shortcomings.…”

Section: Reflecting On Theory: Why Transformative Evaluation? Challenmentioning

confidence: 99%

“…Commonly grouped together under the broad concept of ''behavioural additionality'' (Buisseret et al, 1995), several different interpretations have been employed, ranging from an extension of input additionality to cover scale, scope, acceleration, and the like, to changes in the general conduct of the firm (Gok and Edler, 2012). While the growing use of this concept, particularly in the innovation policy field, demonstrates the importance attached to understanding the changes in behavior sought by today's competitiveness policies, Gok and Edler (2012) maintain that it remains a fuzzy concept with both theoretical and methodological shortcomings. In particular, their analysis of its use in a large number of innovation policy evaluations finds that ''the methods used are not appropriate and the multiple dimensions of behaviour and the cascade effects of changes in behaviour on innovation performance and management more generally are not conceptualised'' (p. 315).…”

Section: Reflecting On Theory: Why Transformative Evaluation? Challenmentioning

confidence: 99%

Regional competitiveness policy evaluation as a transformative process: From theory to practice

Aranguren

Wilson

2016

Environment and Planning C: Politics and Space

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Regional competitiveness policy evaluation is at an interesting juncture. Increasing demand for evaluation is emerging at a time when policy complexity is highlighting the limits of existing techniques. Moreover, widespread use of the concept of policy learning in conceptual analysis is not matched by experimentation and reflection that can articulate what policy learning means in practice. This paper explores the transformative role that evaluation can play in policy learning, in theory, and in practice. It analyses experience with three different competitiveness policy evaluations in the same regional and institutional setting. It finds that explicit demand for evaluation, decisions around the appropriate mode of knowledge generation, the existence of dialogue spaces where relevant policy–stakeholders (including researchers) frequently meet, and the development of trust and cognitive proximity within these meeting places, are all critical factors if evaluation is to be transformative.

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“…It must be added that in economic literature a significant portion of innovative development problems lies in the features of economic agents innovative behavior: lack of responsiveness to new knowledge, low level of cooperative activities etc. (Gok, Edler 2011). Thus, behavioral additionality should be considered more closely.…”

Section: Introductionmentioning

confidence: 99%

Assessing the impact of public funding and tax incentives in Russia: Recipient analysis and additionality effects evaluation

Simachev

Kuzyk²,

Zudin³

2017

JRTPE

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of methodologies concerning the assessment of science-technology and innovation policies (Crespi et al. 2011). Objectives of the innovation policy evaluation have become more complex due to the need of recording a substantial amount of different factors and effects, including non-economic ones. The evolution of evaluation techniques develops in several directions (OECD 2012):(1) establishment of frameworks and conditions, formation of the evaluation culture, and -sometimes -the development of assessment legislation; (2) expansion of assessing institutions and their coordination, distribution and improvement of assessment practices; (3) formation of the base and infrastructure for evaluation -determination of standards and methodologies, combining assessment with Key Performance Indicators (KPI), accumulation of policy implementation data, support for the evaluation expert community. The following features of a modern evaluation practice of innovative instruments can be distinguished:(1) regular assessment, cross-country comparison of results; (2) long observation periods (over 10 years), maintenance of extensive detailed statistical databases used for performance evaluations; openness of assessment procedures to capture new effects. (3) the complexity and ambiguity of estimates (e.g. considering substitution effect), presence of significant time lags over output effects (4-6 years), high heterogeneity of the impact of incentive mechanisms; substantial econometric problems; preparation and submission of guidelines on principles and problems of evaluation; (4) openness, publicity of assessment results; practical use of the assessment results for decision-making at government level -the spread of best practices; drawing lessons: in particular, making decisions to stop, clarify or expand various programs, mechanisms and instruments aimed at fostering innovation activity It must be admitted that the Russian public innovation policy evaluation system in comparison with the best foreign examples turns out to be quite imperfect and unbalanced -due to the excessive emphasis on direct results of support and lack of attention to the process of drawing lessons. ASSESSING THE IMPACT OF PUBLIC FUNDING AND TAX INCENTIVES IN RUSSIA: RECIPIENT ANALYSIS AND ADDITIONALITY EFFECTS EVALUATION 1 YURI SIMACHEV , MIKHAIL KUZYK AND NIKOLAY ZUDIN ABSTRACT So far a considerable number of studies have used the concept of additionality as basic evaluation approach but none of them paid attention to additionality effects of the Russian innovation policy yet. In this study we performed a microeconomic evaluation of the industrial firms' public innovation support in Russia focusing on its two key toolbox elements: direct funding and tax incentives. Based on the data from a questionnaire survey of top executives of Russian manufacturing firms from 2015 we identified and evaluated the profiles and the performance of recipients of direct funding and tax incentives. We also assessed the "relative" additionality -the additionality of a concrete ins...

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The Use of Behavioural Additionality in Innovation Policy-Making

Cited by 9 publications

References 15 publications

Evaluation and design of innovation policies in the agro-food sector: An application of multilevel self-regulating agents

Evaluation and design of innovation policies in the agro-food sector: An application of multilevel self-regulating agents

Regional competitiveness policy evaluation as a transformative process: From theory to practice

Assessing the impact of public funding and tax incentives in Russia: Recipient analysis and additionality effects evaluation

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