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.     

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.     

Raising the bar (6)

Raising the bar (6). Spatial Economic Analysis. This editorial summarizes and comments on the papers published in issue 12(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper addresses the question of whether ‘jobs follow people’ or ‘people follow jobs’. The second paper develops a new methodology to determine functional regions. The third paper is a major contribution to the growing literature on new modelling approaches and applications of disaster impact models. The fourth paper focuses on the costs and benefits of higher education. The fifth paper develops a two-step procedure to identify endogenously spatial regimes in the first step using geographically weighted regression, and to account for spatial dependence in the second step. Finally, the sixth paper estimates a dynamic spatial panel data model to explain house prices and to show that restricted housing supply in the city of Cambridge, UK, has some undesirable labour market effects.     

The Optimal Timing of Adoption of a Green Technology

We study the optimal timing of adoption of a cleaner technology and its effects on the rate of growth of an economy in the context of an AK endogenous growth model. We show that the results depend upon the behavior of the marginal utility of environmental quality with respect to consumption. When it is increasing, we derive the capital level at the optimal timing of adoption. We show that this capital threshold is independent of the initial conditions on the stock of capital, implying that capital-poor countries tend to take longer to adopt. Also, country-specific characteristics, as the existence of high barriers to adoption, may lead to different capital thresholds for different countries. If the marginal utility of environmental quality decreases with consumption, a country should never delay adoption; the optimal policy is either to adopt immediately or, if adoption costs are “too high”, to never adopt. The policy implications of these results are discussed in the context of the international debate surrounding the environmental political agenda.