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.     

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...     

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.      

Exploring sources and outcomes of trust and commitment to nonprofit organizations: The case of Amnesty International Portugal

The interactions between customers and organizations have been regarded as a core aspect in cocreating and developing new products and practices. The current study explores these interactions in the context of citizens and nonprofit organizations. The study comprises two parts: (a) a qualitative approach using interviews and the analysis of social networks to better understand the organization's social media marketing practices and corresponding outcomes and (b) a quantitative approach to analyze antecedents and outcomes of trust and being committed to participate in a nonprofit organization such as Amnesty International. From the qualitative approach, the findings highlight that Amnesty International uses social media (Facebook) to share information, and citizens tend to consider sharing posts, but they do not express new ideas or interact with the organization. These findings contribute to structure the model analyzed in the second stage of the research. Regarding the qualitative approach, the results show that organizational credibility is the most significant driver of trust followed by communicative ability. Affectively commitment to participation and relationship perception act as outcomes of overall commitment.     

In and out of everyday life through film experiences: an analysis of two social spaces as leisure frames

The new information and communication technologies have made it possible to view films in different spaces. Using the symbolic interactionist framework as a frame of analysis, we interpret the meaning of the two experiences of viewing technology-mediated films in the home and in the cinema. We conducted field research during the first half of 2009, digitally recording 16 interviews with research participants living in Barcelona (Spain). The interviews were transcribed verbatim with the help of voice-recognition software. Reports from our research participants indicate that individuals considered only the cinema experience to be a true leisure activity, while the home experience was interpreted as a routine recreational activity. Therefore, the meanings of the film-viewing activity were associated with the symbolic properties of the frames of interpretation. Finally, we discuss the implications of these findings for the home as a unified centre where shared meanings are co-produced by family members.     

The private provision of public environment: Consumer preferences for organic production systems

This paper analyses individual preferences regarding environmental and health improvement technologies in organic food production systems. The impure public model is applied to explore the implications of organic food preferences for environmental market provision. Empirical results from a survey reveal that consumers are willing to pay for both health gains and environmental friendly technologies in organic milk production, although the valuation of the health aspects is higher. Prior information about organic production systems and shopping convenience are key variables in interpersonal comparisons of willingness to pay. The perceived overall value of organic production systems was higher among individuals with stronger environmental preferences than among those who prioritise health concerns. The conclusions of this study may have implications for the analysis of efficiency in the organic produce market.     

Mining History of Gamification Towards Finding Expertise in Question and Answering Communities: Experience and Practice with Stack Exchange

Recently, an online Q&A tool has become an essential part of individual communities and organizations of experts on specific topics. Using the answers to questions about specific topics will help such communities work more efficiently in their fields. Currently, Q&A online communities are adopting gamification to engage users by granting awards to successful users. In this paper, we investigate how to mine award achievement histories to find expertise. We propose the use of sequence analysis and clustering techniques. Specifically, we study the history of Stack Exchange, a large Q&A community that employs gamification. To the best of our knowledge, this is the first study of using award achievement history to find expertise in Q&A communities.