The Unfolding Story of the Second Demographic Transition

This article presents a narrative of the unfolding of the Second Demographic Transition (SDT) since the theory was first formulated in 1986. The first part recapitulates the foundations of the theory, and documents the spread of the SDT to the point that it now covers most European populations. Also for Europe, it focuses on the relationship between the SDT and the growing heterogeneity in period fertility levels. It is shown that the current positive relationship between SDT and TFR levels is not a violation of the SDT theory, but the outcome of a “split correlation” with different sub‐narratives concerning the onset of fertility postponement and the degree of subsequent recuperation in two parts of Europe. The second part of the article addresses the issue of whether the SDT has spread or is currently spreading in industrialized Asian countries. Evidence gathered for Japan, South Korea, Hong Kong, Singapore, and Taiwan is presented. That evidence pertains to both the macro‐level (national trends in postponement of marriage and parenthood, rise of cohabitation) and the micro‐level (connections between individual values orientations and postponement of parenthood). Strong similarities are found with SDT patterns in Southern Europe, except for the fact that parenthood is still very rare among Asian cohabiting partners.     

An application of catastrophe theory to management science process

Practicing management scientists often complain of the alleged irrational behavior on the part of the managers they are trying to serve, particularly when a manager suddenly and unexpectedly shifts behavior from one of support to one of resistance. The authors feel such behavior is only believed to be irrational because the management scientist is using the wrong mental model when projecting past behavioral patterns into the future. This paper attempts to solve this problem by using the newly developed catastrophe theory to develop a different model where sudden shifts in behavior are considered perfectly rational and explainable. The basic implication that is drawn from this new model is that successful implementation of management science depends on a sequence of interactions with the ultimate model user and that care in the structuring of these interactions can greatly enhance the probability of eventual user acceptance.     

Econometric analysis and managerial decision making

Econometric analysis is concerned with the quantitative relationships between economic variables and it can provide an important input into the decision making process of managers. Typically econometrics differs from other apsects of management science in that it considers problems primarily, though not exclusively, from a background of economics rather than of other disciplines and behaviour is usually dealt with at higher levels of data aggregation than the individual firm.This paper considers some applications of typical econometrics to the general area of managerial decision making, where primarily the techniques have a role to play in assisting the general process of data analysis. Initially discussion is pointed towards the use of the analysis for predictive purposes and the contrast with time series methods. Subsequently examples are presented where the objective is to obtain a better understanding of individual economic relationships that aim to be important inputs into the decision making process, for example cost and revenue analysis. Finally, an example is given of how these ideas contribute more generally to the activity of model building for the firm as a whole both for the purpose of forecasting and policy simulation.     

Local volunteers respond to the Rena oil spill in Maketū, New Zealand

Following the MV Rena grounding and oil spill in the Bay of Plenty, New Zealand in October 2011, the Māori community of Maketū were quick to respond to the arrival of oil on their beaches. They asserted their rangatiratanga by establishing their marae as a base and successfully coordinated a clean-up by more than 450 volunteers, feeding these volunteers every day. We interviewed 11 clean-up leaders and volunteers in Maketū to gather information about how the oil spill affected people in the community and how they ensured the success of their clean-up efforts. Many volunteers returned to help with the clean-up day after day over several weeks. Concepts of kaitiakitanga and manaakitanga underpinned the work of the Maketū clean-up organisers. Participants attributed the success of the Maketū clean-up to the speed with which they responded, the support they received from their community and local businesses, and their local knowledge.     

From the First to the Second Demographic Transition: An Interpretation of the Spatial Continuity of Demographic Innovation in France, Belgium and Switzerland

This article links spatialindicators of two demographic innovation wavesto historical and contemporary covariates ofboth a socio-economic and a cultural nature. The two waves of innovation correspond to theso-called first and second demographictransitions (FDT, SDT), respectively. Aconnection is made between the emergence ofspatial demographic patterns and A.J. Coale'sthree preconditions for innovation, i.e. readiness, willingness and ability(RWA-model) and to the influence of networks inshaping relatively stable regional subcultures. Since the RWA-model is of the bottleneck type, it is expected that the slowest moving ormost resistant condition will largely determinethe spatial outcome of the two demographictransitions. In the instances of Frenchdépartements, Belgian arrondissements andSwiss cantons, clear statistical associationsemerge between indicators of both FDT and SDTand cultural indicators. This suggests thatthe willingness condition, as reflected inregional subcultures, has been the dominantbottleneck in both waves of demographicinnovation. The Swiss evidence is, however,weaker than that for France and Belgium,despite the fact that, here too, associationsare in the expected direction.