Democracy and national destinies on Taiwan

In the case of Taiwan, experts have debated whether passionate national loyalties (Taiwanese or Chinese) facilitated or stymied democratization. This paper argues that nationalism facilitated political change in Taiwan. In fact, democratization during the 1980s and the 1990s was spurred in part by the pursuit of two conflicting national destinies. The Chinese Nationalist Party legitimized reform as the end of a century‐long process for the reconstruction of the Chinese nation. To many Nationalists, particularly those born on the mainland, Taiwan was the fulfilment of Sun Yat‐sen's vision of China known as the Three Principles of the People. At the same time, many opponents of the regime saw successful reform as one step towards the realization of a Taiwanese nation. Dominated by those who identified themselves as Taiwanese, generally those of Chinese descent whose ancestors had lived on Taiwan prior to 1945, these activists hoped to take power through the ballot box, then implement a series of policies to strengthen an island‐wide identity.     

From 'industrial districts' to 'knowledge clusters': a model of knowledge dissemination and competitive advantage in industrial agglomerations

This paper integrates knowledge-based theories of the firm withgeograph-ical studies of industrial agglomeration to producea model that helps explain the competitive advantages enjoyedby proximate firms located in geographical clusters. We proposea hierarchy of specialized knowledge stocks at both firm andcluster levels and suggest that the comparative advantage conferredby knowledge resources at each level is protected, in part,by asymmetries in knowledge flows from level to level. The paperargues that codified component knowledge is more easily spreadthan firm-specific architectural knowledge. Nevertheless, overtime, agglomerations may develop a cluster-specific form ofarchitectural knowledge that facilitates the rapid disseminationof knowledge throughout the cluster by increasing the learningcapacity of proximate firms and thereby conferring cluster-specificcompetitive advantages.     

Deletion/Substitution/Addition (DSA) model selection algorithm applied to the study of archaeological settlement patterning

This paper introduces GIS-based statistical methods for the study of settlement patterning in an archaeological context. The main aspect is an improvement over suboptimal stepwise statistical model selection procedures, with the introduction of a Deletion/Substitution/Addition (DSA) algorithm, a systematic model selection algorithm that provides an optimal model choice. The paper also introduces the combined use of Receiving Operator Characteristic (ROC) curves, and variable ranking as key tools aimed at an understanding of settlement patterning causation. An illustrative case study is provided whereby both a purely environmental and a mixed environmental/historical model (based on settlement hierarchy considerations) are investigated.