A HARMONIZATION OF FIRST AND SECOND NATURES*

ABSTRACT This paper investigates the joint impact of the first nature and the second nature forces on industry location. Toward this aim, we develop a two‐region new economic geography model where local factor congestion and location advantages compete with demand linkages and product market crowding. In particular, we study the case of absolute location advantage in a single industry model and the case of comparative advantages in a two‐industry model. We characterize the structure of industries and discuss the possibilities of catastrophic changes, endogenous industrial asymmetries and specialization. We find that absolute location advantage are associated with a smooth agglomeration process and comparative advantages with a catastrophic process.     

Site maintenance practices and settlement social organization in Iron Age Karnataka, India: Inferring settlement places and landscape from surface distributions of ceramic assemblage attributes

This paper investigates the spatial organization of social relations in settlement contexts through a quantitative and distributional analysis of surface ceramic attributes from Iron Age Period (1200–300 BC) archaeological sites in Southern India. The results discern variation in depositional contexts across each site, from which I infer a variety of basic settlement activity structures (e.g., site maintenance, trash disposal, residence, animal husbandry, metallurgy, ritual). I use these results, together with further analyses of artifact and feature distributions, to infer a basic suite of places, place-making practices and some of the social relations and organizational structures that produced these historically unique Iron Age settlement landscapes.     

Are Members of Business for Social Responsibility More Socially Responsible?

This study examines the association between corporate social performance (CSP) practices and membership in Business for Social Responsibility (BSR) between 1992 and 2006. BSR is a business association that seeks to help its members adopt enhanced CSP practices. While there is an emerging literature examining voluntary initiatives as alternative policy mechanisms to regulations, most research is focused on initiatives that emphasize environmental protection. Further, studies suggest that membership in strictly voluntary initiatives tends to be associated with lower environmental performance because of “free‐riding” behavior by participants. BSR differs along two dimensions when compared with other voluntary initiatives examined in the literature. First, it is a comprehensive voluntary social initiative that helps firms from diverse industries address multiple CSP issues simultaneously. Second, it might limit opportunism by not offering blanket certification to its participants. Our results indicate that BSR members exhibit greater levels of positive social impacts without demonstrating significantly different levels of negative social impacts. This suggests that participation in voluntary initiatives that avoid granting blanket certifications may be associated with the adoption of new corporate social responsibility practices but not linked to the shedding of entrenched routines that produce negative externalities.     

Paleoclimates and the emergence of fortifications in the tropical Pacific islands

Paleoclimatic data from the tropical Pacific islands are compared to archaeological evidence for fortification construction in the Holocene. The results suggest that in some regions, people constructed more fortifications during periods that match the chronology for the Little Ice Age (AD 1450–1850) in the Northern Hemisphere. Periods of storminess and drought associated with the El Niño Southern Oscillation have less temporal correlation with the emergence of fortifications in the Pacific, but significant spatial correlation with the most severe conditions associated with this cycle. These temporal and spatial correlations require additional study to investigate possible causal relationships.     

Why conventional wisdom on radicalization fails: the persistence of a failed discourse

Politicians, the media, and some academics are getting it wrong about radicalization. Relying on simple narratives to explain how an individual departs from point a (‘a good Muslim boy’) to point b (‘a suicide bomber’), too many recent contributions to academia rely on assumptions and ‘conventional wisdom’ rather than testable and falsifiable empirical research and methods. Through specific cases, this article seeks to demonstrate how the over‐simplification of ‘conventional wisdom’ privileges convenient political narratives over the complex realities of such situations. In light of this failure to account for reality, this article seeks to challenge current thinking on radicalization by exposing its limitations, as currently being used, as a meaningful basis and departure point for rigorous social science research. The article concludes by showing how the current persistence of this ‘conventional wisdom’ approach to radicalization ultimately betrays the normative political assumptions of those who insist on using this term, and how this adherence to ‘conventional wisdom’ now deprives radicalization from being a relevant and useful academic or policy discourse. This is because radicalization as an area for study has been corrupted by its instrumental political application.     

CAN SEARCH‐MATCHING MODELS EXPLAIN MIGRATION AND WAGE AND UNEMPLOYMENT GAPS IN DEVELOPING ECONOMIES? A CALIBRATION APPROACH*

ABSTRACT A recent theoretical literature tries to understand the migration pattern in developing economies through the lens of search‐matching (SM) models, but there has been little empirical support for these models. This paper tries to fill this gap by examining whether the models are consistent with the data from developing economies. Combined with some suggestive statistics, our calibration exercise reveals that when augmented with additional frictions (fixed costs of starting up new businesses and mobility costs), our SM model can account for the data and is at least more consistent with the data than traditional Harris–Todaro models.