Abatement and Allocation in the Pilot Phase of the EU ETS

We use historical industrial emissions data to assess the level of abatement and over-allocation that took place across European countries during the pilot phase (2005–2007) of the European Union Emission Trading Scheme. Using a dynamic panel data model, we estimate the counter factual (business-as-usual) emissions scenario for EU member states. Comparing this baseline to allocated and verified emissions, we find that both over-allocation and abatement occurred, along with under-allocation and emissions inflation. Over the three trading years of the pilot phase we find over-allocation of approximately 280 million EUAs and total abatement of 247 Mt CO₂. However, we calculate that emissions inflation of approximately 73 Mt CO₂ also occurred, possibly due to uncertainty about future policy design features.     

Do interest groups affect US immigration policy?

While anecdotal evidence suggests that interest groups play a key role in shaping immigration policy, there is no systematic empirical analysis of this issue. In this paper, we construct an industry-level dataset for the United States, by combining information on the number of temporary work visas with data on lobbying activity associated with immigration. We find robust evidence that both pro- and anti-immigration interest groups play a statistically significant and economically relevant role in shaping migration policy across sectors. Barriers to migration are lower in sectors in which business interest groups incur larger lobbying expenditures and higher in sectors where labor unions are more important.     

New Approaches to Evaluating the Performance of Corporate–Community Partnerships: A Case Study from the Minerals Sector

A continuing challenge for researchers and practitioners alike is the lack of data on the effectiveness of corporate–community investment programmes. The focus of this article is on the minerals industry, where companies currently face the challenge of matching corporate drivers for strategic partnership with community needs for programmes that contribute to local and regional sustainability. While many global mining companies advocate a strategic approach to partnerships, there is no evidence currently available that suggests companies are monitoring these partnerships to see if they do, in fact, represent ‘strategic’ investments. This article argues that applying the management concept of ‘investment performance’ to corporate–community partnerships requires questioning traditional evaluation methods that focus on the results of programmes or activities. We adopt a case study approach to introduce an evaluation framework that considers performance from both corporate and community perspectives and that conceptualises partnership performance as comprising four aspects: (1) the contribution of the partnership to the overall portfolio of a company’s community investment programmes, (2) the appropriateness of the partnership model, (3) the effectiveness of the partnering relationship and (4) the ability of the partners to achieve programme goals. The application of this evaluation framework to an established corporate–community partnership programme provided some useful insights as to how partnership performance can be improved.     

R&D Subsidies,Spillovers, and Privatization in Mixed Markets

We examine the use of subsidies to research and development (R&D) in a mixed and a private duopoly market. We show that the socially optimal R&D subsidy is increasing in the degree of spillovers, but it is lower in the private duopoly. The optimal R&D subsidy leads to an increase in total R&D and production; however, it does not lead to the equalization of per firm output and therefore to an efficient distribution of production costs. We also find that privatization of the public firm reduces R&D activity and welfare in the duopoly market. This result stands even when optimal R&D subsidies are provided.     

Multi-level governance for sustainable innovation in smart communities: an ecosystems approach

International Entrepreneurship and Management Journal - This paper analyses the TrentoSmartCity project to redefine Trento (an Italian municipality) as a smart community according to an ecosystems...     

Dependent development in South America: China and the soybean nexus

This article examines the expansion of the soybean complex in South America and the role of Chinese firms in expanding their presence in different sectors of the oilseed complex. The growth in trade relations between the two parties has been built on the export of primary commodities from South America and the import of Chinese manufactures—a trade pattern that reproduces core‐periphery dynamics identified by dependency theory scholars. Of particular importance in this bilateral trade is soybean, a crop that has been consolidated as the main export for several South American countries, fuelled by growing demand from China. This article explores China's role in the global political economy as a key agri‐business player and the implications for new relations of dependency by studying the strategies deployed by Chinese firms to increase their influence in the governance of the soybean nexus.     

Challenges faced by world tourism cities – London’s perspective

World tourism cities perform multiple functions and exhibit various characteristics that influence tourism development within their boundaries. They are the main gateway for tourists visiting a country and their success has a direct impact on the visitor economy of that destination. London, the focus of this research, has been one of the world’s top tourism cities for many years, and a key gateway for domestic and international visitors. But despite the important role tourism plays in the economy of the city, there is limited research on the development of this activity in the capital. Using London as an exploratory case study, this paper contributes to better understanding the challenges faced by policy makers when planning and managing tourism in world cities. The adopted research method offers the advantage of gathering insightful information using multiple data collection techniques. Examining this new evidence contributes to expanding the knowledge on the particularities of tourism development in one of the top world cities, which could help policy makers in their efforts to better prepare for potential challenges faced by these complex but important destinations.     

Business Dynamics and Efficiency in Industries and Regions: The Case of Spain

High rates of firm births and deaths are a pervasive phenomenon across industries and territories. Most studies have related the great turbulence at the fringe of practically all manufacturing industries to positive effects on the long-run performance of industries. According to these views business turbulence, although it has a relatively small incidence on net entry, leads to allocative improvement and stimulates innovation. The existing set of empirical studies does not reach clear conclusions, however, and many questions are still open. Our contribution analyses the relationship between business dynamics in manufacturing and the growth of total factor productivity in industries and regions. After a review of current literature on entry and exit it is argued that most models are tailored to suit the processes observed in industries and regions that are near the technological frontier, and we propose an approach that could be more representative of middle range economies such as Spain. According to this approach new firms are seen more as users of innovations than producers of innovations. We adopt a model based on a vintage capital framework in which new entrants embody the edge technologies available and exiting businesses are supposed to represent the most marginal obsolete plants. Both industries and regions are represented by a Hall's type production function which controls for imperfect competition and economies of scale. The results show that both entry and exit rates contribute positively to the growth of total factor productivity in industries and in regions.     

The importance of atmospherics in the choice of hypermarkets and supermarkets

Are the atmospheric variables equally relevant for supermarket and hypermarket customers? As a contribution to the customers' choice of the store format, firstly this work aims to determine the perception of differences between hypermarkets and supermarkets in terms of store attributes. Second, it sheds light on the role played by atmospherics in the customers' decision process. This study uses a logit approach to model the probabilistic choice of the customers' store format using atmospheric and other marketing variables as important attributes of the grocery store. The model's estimation is based on personal interviews conducted during the shopping process in urban supermarkets and hypermarkets belonging to the same retail chain. The findings show that although the atmospheric variables are significantly important for both store formats, the customers perceive differently the importance of each retail atmospheric cue and other marketing variables, when buying in a hypermarket or in a supermarket: the choice of buying in hypermarket is explained by the significant importance given to the latent variables named pleasant atmosphere and accessibility and responsiveness; in contrast, the choice of buying in supermarkets is explained by the significant importance given to the latent variable nice decoration and empathy with the staff. The other latent variable designated by other marketing variables is only significantly important in the decision of choosing supermarkets.     

Consumer Attitudes to Genetically Modified Food in Norway

There is a lack of public acceptance of genetically modified (GM) food products in Europe. Using a dichotomous choice contingent valuation methodology, we find that, on average, survey respondents with a positive attitude toward the use of biotechnology in food production, higher educated, younger, and male need less of a discount to choose to purchase bread made with GM wheat. Further, we estimate confidence intervals for the mean discount required for consumers to choose GM bread. The 95% confidence interval for the mean discount required for the respondents to choose the GM bread is a 37% to 63% discount relative to conventional bread.