The "S" Curve Relationship between Export Diversity and Economic Size of Countries

The highly detailed international trade data among all countries in the world during 1971-2000 shows that the kinds of export goods and the logarithmic GDP (gross domestic production) of a country has an S-shaped relationship. This indicates all countries can be divided into three stages accordingly. First, the poor countries always export very few kinds of products as we expect. Second, once the economic size (GDP) of a country is beyond a threshold, its export diversity may increase dramatically. However, this is not the case for rich countries because a ceiling on the export diversity is observed when their GDPs are higher than another threshold. This pattern is very stable for different years although the concrete parameters of the fitting sigmoid functions may change with time. In addition, we also discussed other relationships such as import diversity with respect to logarithmic GDP, diversity of exporters with respect to the number of export goods etc., all of these relationships show S-shaped or power law patterns. Although this paper does not explain the origin of the S-shaped curve, it may provide a basic empirical fact and insights for economic diversity.Comment: 16 pages, 6 figure

Place, space, and foreign direct investment into peripheral cities

Perspectives drawn from the economic geography literature are increasingly used to generate insights into locational issues in international business. In this paper, we seek to integrate these literatures further by investigating the locational determinants of foreign direct investment (FDI) into peripheral cities within an emerging economy. Peripheral cities in emerging economies are attracting a growing proportion of global FDI flows, but the international business literature lacks a framework for understanding subnational determinants of FDI, particularly into non-core locations. We draw on the core-periphery model to build and test theory on how spatial interdependencies between subnational locations impact on the distribution of FDI inflows into a large and heterogeneous country China. Our results show that whilst peripheral cities tend to have a negative effect on FDI, this effect is positively moderated by proximity to core cities. The results highlight the importance of considering interactions between place and space when investigating locational issues in international business

Redundancy, Diversity, and Modularity in Network Resilience : Applications for International Trade and Implications for Public Policy

Sustainability is increasingly concerned with the complex interactions between nature and society, and we need to seek solutions towards the challenges that threaten humanity's collective wellbeing. Towards this end, it is critical to advance the application of research examining the dynamic interactions of the components of complex social-ecological systems and their emerging properties. A key research area is on advancing tools and strategies relevant to the evaluation and strengthening of resilience. Redundancy, diversity, and modularity are important characteristics of resilience with a high potential for application in various critical social-ecological systems. This paper provides a critical overview of the theoretical underpinnings of modularity and redundancy and their application in measuring resilience of trade networks with implications for public policy and institutional design

Patterns of cortical activity during the observation of Public Service Announcements and commercial advertisings

Background: In the present research we were interested to study the cerebral activity of a group of healthy subjects during the observation a documentary intermingled by a series of TV advertisements. In particular, we desired to examine whether Public Service Announcements (PSAs) are able to elicit a different pattern of activity, when compared with a different class of commercials, and correlate it with the memorization of the showed stimuli, as resulted from a following subject's verbal interview.Methods: We recorded the EEG signals from a group of 15 healthy subjects and applied the High Resolution EEG techniques in order to estimate and map their Power Spectral Density (PSD) on a realistic cortical model. The single subjects' activities have been z-score transformed and then grouped to define four different datasets, related to subjects who remembered and forgotten the PSAs and to subjects who remembered and forgotten cars commercials (CAR) respectively, which we contrasted to investigate cortical areas involved in this encoding process. . Results: The results we here present show that the cortical activity elicited during the observation of the TV commercials that were remembered (RMB) is higher and localized in the left frontal brain areas when compared to the activity elicited during the vision of the TV commercials that were forgotten (FRG) in theta and gamma bands for both categories of advertisements (PSAs and CAR). Moreover, the cortical maps associated with the PSAs also show an increase of activity in the alpha and beta band.Conclusions: In conclusion, the TV advertisements that will be remembered by the experimental population have increased their cerebral activity, mainly in the left hemisphere. These results seem to be congruent with and well inserted in the already existing literature, on this topic, related to the HERA model. The different pattern of activity in different frequency bands elicited by the observation of PSAs may be justified by the existence of additional cortical networks processing these kind of audiovisual stimuli. Further research with an extended set of subjects will be necessary to further validate the observations reported in this paper. © 2010 Babiloni et al; licensee BioMed Central Ltd

Mathematical images in advertising: constructing difference and shaping identity, in global consumer culture

Mathematics educators have long emphasised the importance of attitudes and feelings towards mathematics, as crucial in motivating (or not) its learning and use, and as influenced in turn by its social images. This paper is about images of mathematics. Our search for advertisements containing such images of in UK daily newspapers, during 2006-2008, found that 4.7% of editions included a ‘mathematical’ advert, compared with 1.7% in pilot work for 1994-2003. The incidence varied across type of newspaper, being correlated with class and gender profiles of the readership. Three-quarters of advertisements were classified as containing only very simple mathematics. ‘Semiotic-discursive’ analysis of selected advertisements suggests that they draw on mathematics not to inform, but to connote qualities like precision, certainty and authority. We discuss the discourse on mathematics in advertising as ‘quasi-pedagogic’ discourse, and argue that its oversimplified forms, being empty of mathematical content, become powerful means for regulating and ‘pedagogising’ today’s global consumers

The competitiveness of China's leading regions: benchmarking their knowledge-based economies

China's spectacular economic growth has been spatially uneven, with much development occurring in eastern coastal areas. In particular, three metropolitan 'super-regions' have become China's most competitive knowledge-based economies, consisting of the Pearl River Delta, the Yangtze River Delta, and the Bohai Gulf Region. This paper benchmarks the competitiveness of these regions, with a view to exploring which region is best positioned to become the most dominant knowledge-based economy over time. Through the theoretical lens of dynamic comparative advantage, it is shown that each region has hugely increased its competitiveness through improvements in the capacity to absorb and diffuse knowledge. It is further shown that due to multi-dimensional advantages the Yangtze River Delta, incorporating the Shanghai metropolis, is best positioned to become the dominant hub of China’s future knowledge economy. It is concluded that China’s leading regions will require further economic policy adjustments in order to secure their future competitiveness

Location patterns of urban industry in Shanghai and implications for sustainability

China’s economy has undergone rapid transition and industrial restructuring. The term “urban industry” describes a particular type of industry within Chinese cities experiencing restructuring. Given the high percentage of industrial firms that have either closed or relocated from city centres to the urban fringe and beyond, emergent global cities such as Shanghai, are implementing strategies for local economic and urban development, which involve urban industrial upgrading numerous firms in the city centre and urban fringe. This study aims to analyze the location patterns of seven urban industrial sectors within the Shanghai urban region using 2008 micro-geography data. To avoid Modifiable Areal Unit Problem (MAUP) issue, four distance-based measures including nearest neighbourhood analysis, Kernel density estimation, K-function and co-location quotient have been extensively applied to analyze and compare the concentration and co-location between the seven sectors. The results reveal disparate patterns varying with distance and interesting co-location as well. The results are as follows: the city centre and the urban fringe have the highest intensity of urban industrial firms, but the zones with 20–30 km from the city centre is a watershed for most categories; the degree of concentration varies with distance, weaker at shorter distance, increasing up to the maximum distance of 30 km and then decreasing until 50 km; for all urban industries, there are three types of patterns, mixture of clustered, random and dispersed distribution at a varied range of distances. Consequently, this paper argues that the location pattern of urban industry reflects the stage-specific industrial restructuring and spatial transformation, conditioned by sustainability objectives

Growth by destination: the role of trade in Africa's recent growth episode

Over the period 1990–2009, Africa has experienced a distinct and favourable reversal in its growth fortunes in stark contrast to its performance in the preceding decades, leading to a variety of hypotheses seeking to explain the phenomenon. This paper presents both cross-country and panel-data evidence on the causal factors driving the recent turnaround in Africa's growth and takes the unique approach of disaggregating the separate growth impacts of Africa's bilateral trade with: China, Europe and America. The empirical analysis presented in this paper suggests that the primary and most robust causal factors driving Africa's recent growth turnaround are private sector- and foreign direct investment. Although empirical evidence of the role of bilateral trade openness in Africa's recent growth emerges within a fixed effect estimation setting, these results are not as robust when endogeneity and other issues are fully accounted for. Among the three major bilateral partners, Africa's bilateral trade with China has been a relatively important factor spurring growth on the continent and especially so in resource-rich, oil producing and non-landlocked countries. The econometric results are not as supportive of growth-inducing effects of foreign aid. These findings emerge after applying a variety of panel data specifications to the data, including the recent fixed Effects Filtered (FEF) estimator introduced by Pesaran and Zhou (2014) and the dynamic panel Generalized Method of Moments (GMM) estimator, which allows for endogeneity between trade and growth