Disentangling scale approaches in governance research: comparing monocentric, multilevel, and adaptive governance

The question of how to govern the multiscale problems in today’s network society is an important topic in the fields of public administration, political sciences, and environmental sciences. How scales are defined, studied, and dealt with varies substantially within and across these fields. This paper aims to reduce the existing conceptual confusion regarding scales by disentangling three representative approaches that address both governance and scaling: monocentric governance, multilevel governance, and adaptive governance. It does so by analyzing the differences in (1) underlying views on governing, (2) assumptions about scales, (3) dominant problem definitions regarding scales, and (4) preferred responses for dealing with multiple scales. Finally, this paper identifies research opportunities within and across these approaches

R&D cooperation and spillovers: Some empirical evidence

This paper provides some first empirical evidence on the relationship between R&D spillovers and R&D cooperation. The results suggest disentangling different aspects of know-how flows. Firms which rate incoming spillovers more importantly and who can limit outgoing spillovers by a more effective protection of know-how, are more likely to cooperate in R&D. Our analysis also finds that cooperating firms have higher incoming spillovers and higher protection of know- how, indicating that cooperation may serve as a vehicle to manage information flows. Our results thus suggest that on the one hand the information sharing and coordination aspects of incoming spillovers are crucial in understanding cooperation, while on the other hand, protection against outgoing spillovers is important for firms to engage in stable cooperative agreements by reducing free-rider problems. Distinguishing different types of cooperative partners reveals that while managing outgoing spillovers is less critical in alliances with non-commercial research partners than between vertically related partners, the incoming spillovers seem to be more critical in understanding the former type of R&D cooperation.Research and development, cooperation, spillovers

R&D cooperation and spillovers: some empirical evidence.

This paper provides some first empirical evidence on the relationship between R&D spillovers and R&D cooperation. The results suggest disentangling different aspects of know-how flows. Firms which rate incoming spillovers more importantly and who can limit outgoing spillovers by a more effective protection of know-how, are more likely to cooperate in R&D. Our analysis also finds that cooperating firms have higher incoming spillovers and higher protection of know-how, indicating that cooperation may serve as a vehicle to manage information flows. Our results thus suggest that on the one hand the information sharing and coordination aspects of incoming spillovers are crucial in understanding cooperation, while on the other hand, protection against outgoing spillovers is important for firms to engage in stable cooperative agreements by reducing free-rider problems. Distinguishing different types of cooperative partners reveals that while managing outgoing spillovers is less critical in alliances with non-commercial research partners than between vertically related partners, the incoming spillovers seem to be more critical in understanding the former type of R&D cooperation.Cooperation; R&D; R&D cooperation; Spillovers;

Family Values: Ownership Structure, Performance and Capital Structure of Canadian Firms

This study examines how family ownership affects the performance and capital structure of 613 Canadian firms using a panel dataset from 1998 to 2005. In particular, we distinguish the effect of family ownership from the use of control-enhancing mechanisms. We find that freestanding family-owned firms with a single share class have similar market performance than other firms based on Tobin's q ratios, superior accounting performance based on ROA, and higher financial leverage based on debt-to-total assets. By contrast, family-owned firms that use dual-class shares have valuations that are lower by 17% on average relative to widely-held firms, despite having similar ROA and financial leverage. Finally, concentrated ownership by either a corporation or a financial institution does not significantly affect firm performance.Financial markets; International topics

PRACTICAL CHALLENGES TO ESTIMATING THE BENEFITS OF AGRICULTURAL R&D: THE CASE OF PLANT BREEDING RESEARCH

Interest in the economics of plant breeding first emerged during the late 1960s and early 1970s following the well-known green revolutions in wheat and rice. Since that time, few branches of agricultural research have been subjected to as much scrutiny as plant breeding. Impacts assessment studies consistently conclude that the economic benefits generated by successful plant breeding programs are large, positive, and widely distributed. Case studies repeatedly find that investment in crop genetic improvement generates attractive rates of return compared to alternative investment opportunities. Similarly, case studies consistently show that the welfare benefits resulting from the adoption of modern varieties (MVs) are broadly shared by producers and consumers in both favored and marginal environments. Swayed by the large body of empirical evidence that supports these findings, governments, lending agencies, philanthropic organizations, and private corporations have invested millions in plant breeding research. But how reliable are the results of studies that estimate the benefits of plant breeding research? Are the methods used to conduct such studies theoretically sound? And are the data sufficiently complete and accurate? This paper reviews methods used to estimate the benefits of plant breeding research and discusses methodological issues and practical challenges that often receive inadequate attention in applied impacts work. Our goal is not to question the validity of the broad conceptual frameworks used to estimate the benefits of plant breeding research (e.g., economic surplus approach, production function approach). Nor is it our intention to examine theoretical issues that complicate research evaluation in general. Rather, the objectives of the paper are to examine problems that may arise during empirical evaluation of plant breeding research, to discuss what can happen if those problems are ignored or overlooked, and to propose workable solutions. The problems that affect the empirical evaluation of plant breeding research can be grouped into three general categories: measuring the adoption of MVs; estimating the benefits associated with adoption of MVs; and assigning credit for plant breeding research. In principle, estimating the area planted to MVs should be relatively easy. In practice, it is often very difficult. Important issues in estimating the benefits associated with MV adoption include the relationship between experimental and farm level yields; the relative effects of improved germplasm and improved crop management practices; maintenance research; non-yield benefits; and constructing counterfactual scenarios. The existence of spillovers in plant breeding research increases the overall benefits generated by the global plant breeding system, but it also complicates the task of assigning credit among individual breeding programs. CIMMYT researchers, working in collaboration with colleagues from national agricultural research organizations, have conducted a series of studies designed to document and quantify the impacts of international maize and wheat breeding research. Drawing on lessons learned from the CIMMYT studies, each of these three sets of problems that can affect the empirical evaluation of plant breeding research are discussed in detail, and practical guidelines are presented to help those interested in conducting applied impacts studies avoid common pitfalls that if ignored may lead to incorrect empirical results.Research and Development/Tech Change/Emerging Technologies,

Exports and FDI motivations: empirical evidence from US foreign subsidiaries

The expected indirect benefits Foreign Direct Investments (FDI) are supposed to bring into the host countries are drawn mainly from studies at the microeconomic level. Empirical analyses examine whether FDI may be the source of productivity spillover effect on local firms and a new emerging literature analyses the effect with regard to the their export performance. However, conclusive results have not been reached so far. Two main shortcomings affect this literature: firstly, it is difficult to generalize results valid across countries; secondly, the role played by FDI motivations is largely disregarded. For these reasons, the aim of the paper is that of testing the effects of US FDI on export intensity at the sectoral level in 16 OECD countries over the period 1990-2001. Through these data, we are able to disentangle asset seeking and asset exploiting motivations and especially we are able to distinguish the channels through which the effect is going to occur. The findings show that taking into consideration the different motivations for which Multinational Enterprises (MNEs) invest abroad is relevant. The asset exploiting motivations, and in particular market seeking FDI, are those that affect export intensity to a greater extent.

Are non-use values distance-independent? Identifying the market area using a choice modelling experiment

This article tests for the effect of distance on non-use values using a Choice Modelling (CM) experiment. Estimating a distance decay relationship for non-use values (NUVs) is important because it would define the market area for an environmental good, i.e. identify the limits for aggregating individual benefit estimates. In contrast to the common definition of NUVs as non-usersÕ values, the CM experiment designs the environmental attributes so that NUV changes can be disentangled from Use Value (UV) changes. The experiment also allows for testing different specification of the distance covariates. Data are obtained from a geographically representative sample. Results show that NUVs do not depend on distance. Aggregation of NUVs is based on income and individualsÕ environmental attitudes.choice modelling, non-use values, aggregation, distance, geographical sampling.

European Mixed Forests: definition and research perspectives

peer-reviewedAim of study: We aim at (i) developing a reference definition of mixed forests in order to harmonize comparative research in mixed forests and (ii) briefly review the research perspectives in mixed forests. Area of study: The definition is developed in Europe but can be tested worldwide. Material and methods: Review of existent definitions of mixed forests based and literature review encompassing dynamics, management and economic valuation of mixed forests. Main results: A mixed forest is defined as a forest unit, excluding linear formations, where at least two tree species coexist at any developmental stage, sharing common resources (light, water, and/or soil nutrients). The presence of each of the component species is normally quantified as a proportion of the number of stems or of basal area, although volume, biomass or canopy cover as well as proportions by occupied stand area may be used for specific objectives. A variety of structures and patterns of mixtures can occur, and the interactions between the component species and their relative proportions may change over time. The research perspectives identified are (i) species interactions and responses to hazards, (ii) the concept of maximum density in mixed forests, (iii) conversion of monocultures to mixed-species forest and (iv) economic valuation of ecosystem services provided by mixed forests. Research highlights: The definition is considered a high-level one which encompasses previous attempts to define mixed forests. Current fields of research indicate that gradient studies, experimental design approaches, and model simulations are key topics providing new research opportunities.The networking in this study has been supported by COST Action FP1206 EuMIXFOR

Combining the conservation of biodiversity with the provision of ecosystem services in urban green infrastructure planning. Critical features arising from a case study in the metropolitan area of Rome

A large number of green infrastructure (GI) projects have recently been proposed, planned and implemented in European cities following the adoption of the GI strategy by the EU Commission in 2013. Although this policy tool is closely related to biodiversity conservation targets, some doubts have arisen as regards the ability of current urban GI to provide beneficial effects not only for human societies but also for the ecological systems that host them. The aim of this work is to review the features that should be considered critical when searching for solutions that simultaneously support biodiversity and guarantee the provision of ecosystem services (ES) in urban areas. Starting from a case study in the metropolitan area of Rome, we highlight the role of urban trees and forests as proxies for overall biodiversity and as main ecosystem service providers. We look beyond the individual functional features of plant species and vegetation communities to promote the biogeographic representativity, ecological coherence and landscape connectivity of new or restored GI elements