Exploring a theoretical framework to structure the public policy implications of open innovation

Open innovation is increasingly popular among practitioners and scholars, but its implications for public policy making have not yet been analysed in detail. This paper explores a theoretical framework to structure the debate about public policy making that facilitates open innovation. We first define open innovation in terms of firms’ open innovation practices and external conditions that encourage enterprises to practice open innovation. We show that policies for open innovation are legitimate as traditional arguments like market and system failures continue to apply. Next, we identify several guidelines for policymaking. Rather than just offering R&D and interaction-oriented policies, we conclude that open innovation warrants attention in a broader range of policy areas, including entrepreneurship, education, science, labour markets and competition. Developing truly horizontal policies is a major challenge to facilitate open innovation in developed economies.     

On the empirical distribution of the Balassa index

On the Empirical Distribution of the Balassa Index. — The concept of revealed comparative advantage as measured by the Balassa index is widely used in practice to determine a country’s weak and strong sectors. Interpreting the Balassa index is difficult, however, in view of the limited knowledge to date on the distribution of this index. We analyze theempirical distribution of the Balassa index and its stability and properties over time, using Japan-European Union trade data. It appears that the distribution is relatively stable over time and that the widely used rule that “a Balassa index above one” identifies a strong sector, selects about one-third of all industries. On the other hand, the distribution appears to differ markedly across countries.     

NUSAP: a method to evaluate the quality of assumptions in quantitative microbial risk assessment

The Numeral Unit Spread Assessment Pedigree (NUSAP) system was implemented to evaluate assumptions in a quantitative microbial risk assessment (QMRA) model for Salmonella spp. in minced pork meat. This QMRA model allows the testing of mitigation strategies for the reduction of human salmonellosis and aims to serve as a basis for science‐based policy making. The NUSAP method was used to assess the subjective component of assumptions in the QMRA model by a set of four pedigree criteria: ‘the influence of situational limitations’, ‘plausibility’, ‘choice space’ and ‘the agreement among peers’. After identifying 13 key assumptions relevant for the QMRA model, a workshop was organized to assess the importance of these assumptions on the output of the QMRA. The quality of the assumptions was visualized using diagnostic and kite diagrams. The diagnostic diagram pinpointed assumptions with a high degree of subjectivity and a high ‘expected influence on the model results’ score. Examples of those assumptions that should be dealt with care are the assumptions regarding the concentration of Salmonella on the pig carcass at the beginning of the slaughter process and the assumptions related to the Salmonella prevalence in the slaughter process. The kite diagrams allowed a clear overview of the pedigree scores for each assumption as well as a representation of expert (dis)agreement. The evaluation of the assumptions using the NUSAP system enhanced the debate on the uncertainty and its communication in the results of a QMRA model. It highlighted the model’s strong and weak points and was helpful for redesigning critical modules. Since the evaluation of assumptions allows a more critical approach of the QMRA process, it is useful for policy makers as it aims to increase the transparency and acceptance of management decisions based on a QMRA model.     

Can People Value Protection against Invasive Marine Species? Evidence from a Joint TC–CV Survey in the Netherlands

Harmful algal-bloom species (HABs) are invasiveexotic species that are primarily introduced inNorth European waters through ballast water ofships. Some produce important damages to themarine ecosystem such as the red tides thatcause a massive destruction of marine livingresources, including fish and bottom-livinganimals. Others are responsible for theproduction of thick foams with repellent odorsand the coloration of the beach water, causingimportant damages on beach recreation. Thisarticle reports a monetary valuation study of amarine protection program. This program focuseson the prevention of HABS along the coastlineof the Netherlands. It entails the constructionof a ballast water disposal treatment in theRotterdam harbor and the implementationof a monitoring program of the water quality inthe open sea along the North-Holland beaches.The valuation study is based on a questionnaireundertaken at Zandvoort, a famous Dutchbeach resort. The economic value of the marineprotection program includes non-market benefitsassociated with beach recreation, human healthand marine ecosystem impacts. Both contingent-valuation and travel-cost methods are used.These valuation techniques have not yet beenapplied to value HABs damages. The valuationresults indicate that the protection programmakes sense from an economic perspective aslong as its cost is, in any case, less than 225 millioneuro, and possibly less than 326 million euro, depending on how survey refusals are dealt with.     

Economic valuation of habitat defragmentation: A study of the Veluwe, the Netherlands

This paper offers an economic value assessment of a nature protection programme in the Veluwe, the Netherlands. This programme involves two defragmentation scenarios: the first scenario connects the central part of the Veluwe with river forelands in a north-eastern direction (i.e. the meadows of the IJssel river), while the second scenario is focussed on defragmentation in a south-western direction (i.e. the meadows of the Rhine river). The valuation is based on a questionnaire that was administered during face-to-face interviews in the area and through the Internet. We employ a contingent valuation approach to assess the respondents' willingness to pay for the realisation of the defragmentation scenarios. It appears that the mean willingness to pay (WTP) for the two defragmentation scenarios is € 162.2 (lognormal distribution) per respondent. Because the Veluwe is considered a nature park of national importance, we performed an aggregation of individual WTP estimates over Dutch households. With the resulting aggregate estimates we can compare the total costs and benefits of the two scenarios for habitat defragmentation in the Veluwe. In addition, we test whether respondents value the two scenarios equally. We also check whether the methods of data collection (face-to-face interviews and Internet questionnaires) have distinct influences on the stated WTP responses.     

How behavioural science can improve financial advice services

Evidence from the behavioural sciences, notably economics and psychology, has profoundly changed the way policymakers and practitioners view expert advice to consumers. In this article, we take stock of the behavioural science evidence on financial advice and explore its implications for the profession. We organise the evidence in a comprehensive theoretical framework that also serves a practical purpose: the design of behaviour change interventions. We suggest various ways in which financial advisers can use the insights from behavioural science to improve the take-up and effectiveness of their advice. Finally, we discuss ethical and practical considerations for the financial advisor wishing to put behavioural science knowledge to use.     

Earthquakes and Economic Outcomes: Does Central Bank Independence Matter?

Open Economies Review - This study explores whether the degree of central bank independence influences the economic performance in the period immediately following an earthquake. Earthquakes create...     

Complementarity between water pricing, water rights and local water governance: A Bayesian analysis of choice behaviour of farmers in the Krishna river basin, India

To ensure efficient water allocation and use, policy designers have adopted various strategies, including price setting, decentralising irrigation water management or improving water rights. Most of these strategies have been applied individually, without considering the complementary relationships between them. This paper uses a discrete choice model to analyse the scope for combinations of tools for irrigation water demand management and farmers' acceptance of these. In terms of local irrigation water governance, the presence or absence of collective irrigation water management, in the form of a Water Users Association, is considered. Water rights are specified in terms of the duration and quality of the entitlement and its transferability. Finally, four types of water pricing methods (area, crop, block and volumetric pricing) are considered. Using a choice experiment, we elicit the most preferred water pricing method, under different water rights situations, at different price levels and under various contexts for local irrigation water governance. Our results indicated that under conditions of improved water rights, preference for volumetric pricing increases, whilst the presence of a Water Users Association reduces this preference. Furthermore, it was found that using an appropriate combination of water demand management tools considerably increases the willingness to pay for a change in scenario.     

An evolutionary model of energy transitions with interactive innovation-selection dynamics

We develop a stylized application of a new evolutionary model to study an energy transition in electricity production. The framework describes a population of boundedly rational electricity producers who decide each period on the allocation of profits among different energy technologies. They tend to invest in below-average cost energy technologies, while also devoting a small fraction of profits to alternative technological options and research on recombinant innovation. Energy technologies are characterized by costs falling with cumulative investments. Without the latter, new technologies have no chance to become cost competitive. We study the conditions under which a new energy technology emerges and technologies coexist. In addition, we determine which investment heuristics are optimal in the sense of minimizing the total cost of electricity production. This is motivated by the idea that, while diversity contributes to system adaptability (innovation) and resilience to unforeseen contingencies (keeping options open), a high cost will discourage investments in it.