Suchergebnisse

This is a review article covering business publications in the Social Science Quarterly for the yrs 1920-1970. It also serves to introduce an article by Frederick D. Sturdivant & Walter T. Wilhelm (see SA 0749/E9732a). AA.

The ability of state leaders to influence economic growth and diversity within their states is a disputed issue within the literature on state economic development policy-making. Contributes to this debate by developing comparative measures of state development agency power drawn from the emerging theory on organizational power. (Abstract amended)

Analyses perceptual dimensions of the governors' role and actual influence as reported by the leaders of the states' development agencies. There is little doubt that the governor is the dominant actor across the nation as states wrestle with improving their economies in an ever competitive international economic system. (SJK)

There is a hidden country within the United States. It was formed from the astonishing number of secrets held by the government and the growing ranks of secret-keepers given charge over them. The government secrecy industry speaks in a private language of codes and acronyms, and follows an arcane set of rules and customs designed to perpetuate itself, repel penetration, and deflect oversight. It justifies itself with the assertion that the American values worth preserving are often best sustained by subterfuge and deception. There are indications that this deep state is crumbling

Territorial subdivisions and geographic borders are essential for understanding phenomena in sociology, political science, history, and economics. They influence the interregional flow of information and cross-border trade and affect the diffusion of innovation and technology. However, it is unclear if existing administrative subdivisions that typically evolved decades ago still reflect the most plausible organizational structure of today. The complexity of modern human communication, the ease of long-distance movement, and increased interaction across political borders complicate the operational definition and assessment of geographic borders that optimally reflect the multi-scale nature of today's human connectivity patterns. What border structures emerge directly from the interplay of scales in human interactions is an open question. Based on a massive proxy dataset, we analyze a multi-scale human mobility network and compute effective geographic borders inherent to human mobility patterns in the United States. We propose two computational techniques for extracting these borders and for quantifying their strength. We find that effective borders only partially overlap with existing administrative borders, and show that some of the strongest mobility borders exist in unexpected regions. We show that the observed structures cannot be generated by gravity models for human traffic. Finally, we introduce the concept of link significance that clarifies the observed structure of effective borders. Our approach represents a novel type of quantitative, comparative analysis framework for spatially embedded multi-scale interaction networks in general and may yield important insight into a multitude of spatiotemporal phenomena generated by human activity.

Territorial subdivisions and geographic borders are essential for understanding phenomena in sociology, political science, history, and economics. They influence the interregional flow of information and cross-border trade and affect the diffusion of innovation and technology. However, it is unclear if existing administrative subdivisions that typically evolved decades ago still reflect the most plausible organizational structure of today. The complexity of modern human communication, the ease of long-distance movement, and increased interaction across political borders complicate the operational definition and assessment of geographic borders that optimally reflect the multi-scale nature of today's human connectivity patterns. What border structures emerge directly from the interplay of scales in human interactions is an open question. Based on a massive proxy dataset, we analyze a multi-scale human mobility network and compute effective geographic borders inherent to human mobility patterns in the United States. We propose two computational techniques for extracting these borders and for quantifying their strength. We find that effective borders only partially overlap with existing administrative borders, and show that some of the strongest mobility borders exist in unexpected regions. We show that the observed structures cannot be generated by gravity models for human traffic. Finally, we introduce the concept of link significance that clarifies the observed structure of effective borders. Our approach represents a novel type of quantitative, comparative analysis framework for spatially embedded multi-scale interaction networks in general and may yield important insight into a multitude of spatiotemporal phenomena generated by human activity.