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Political economies evolve institutionally and technologically over time. This means that to understand evolutionary political economy one must understand the nature of the evolutionary process in its full complexity. From the time of Darwin and Spencer natural selection has been seen as the foundation of evolution. This view has remained even as views of how evolution operates more broadly have changed. An issue that some have viewed as an aspect of evolution that natural selection may not fully explain is that of emergence of higher order structures, with this aspect having been associated with the idea of emergence. In recent decades it has been argued that self-organization dynamics may explain such emergence, with this being argued to be constrained, if not overshadowed, by natural selection. Just as the balance between these aspects is debated within organic evolutionary theory, it also arises in the evolution of political economy, as between such examples of self-organizing emergence as the Mengerian analysis of the appearance of commodity money in primitive societies and the natural selection that operates in the competition between firms in markets.

Darwin’s theory of natural selection, which explains how individual organisms can become exquisitely adapted to their environments, does not explain the evolution of adaptive societies with equal ease. To understand the nature of the problem, imagine a mutant individual who behaves in a way that increases the survival of everyone in her society, including herself, to an equal degree. Such a “no-cost public good” might not appear very feasible (and will soon be amended), but is useful for illustrative purposes. By increasing the fitness of everyone, the mutant trait will not increase in frequency within the society (other than by drift, which can equally cause a decrease in frequency). This example illustrates the elementary fact that natural selection is based on relative fitness. It’s not enough for a mutant trait to increase its own survival and reproduction; it must do so more than alternative traits in the population. The relative nature of fitness makes the evolutionary forces within a population insensitive to the welfare of the population as a whole.

This paper aims to go beyond a bookkeeping approach to evolutionary analysis whereby surviving firms are better adapted and extinct firms were less adapted. From discussion of the preliminary findings of research into the Hobart pizza industry, evidence is presented of the need to adopt a more traditional approach to applying evolutionary theories with organizational research.

After a brief review of the relevant literature, the preliminary findings of research into the Hobart pizza industry are presented. Then, several evolutionary concepts that are commonplace in ecological research are introduced to help explain the emergent findings. The paper concludes with consideration given to advancing a more consistent approach to employing evolutionary theories within organizational research.

The paper finds that the process of selection cannot be assumed to occur evenly across time and/or space. Within geographically small markets different forms of selection operate in different ways and degrees requiring the use of more traditional evolutionary theories to highlight the causal process associated with population change.

The paper concludes by highlighting Geoffrey Hodgson's Principle of Consistency. It is demonstrated that a failure to truly understand how and why theory is used in one domain will likely result in its misuse in another domain. That, at present, too few evolutionary concepts are employed in organisational research to ensure an appreciation of any underlying causal processes through which social change occurs.

The concepts introduced throughout this paper, whilst not new, provide new entry points for organizational researchers intent on employing an evolutionary approach to understand the process of social change.

A key component of evolutionary models in economics and organizational research, the notion of organizational selection is rarely the object of inquiry. It generally suggests instead a neutral and unquestioned process, a mechanism explaining organizational success and survival. In this chapter, we explore the variation of selection; we problematize the notion of selection and do an exercise in conceptual genealogy. We differentiate between three patterns of firm selection: Darwinian, strategic, and institutional and define the associated “embedded rationalities” that buttress those different selection patterns. We illustrate how selection differed and evolved through time by exploring two empirical cases – France and the United States. Building upon our empirical exploration, we stress some important contributions for three theories familiar to strategy scholars – resource-based view, population ecology, and institutional theory. We also point to some consequences for empirical research and suggest new directions for future work on the dynamics of organizational action.

Maturana and Mpodozis (2000) developed a theory of evolution that is based on the concept of autopoiesis and differs paradigmatically from the conventional theory derived from Darwin (1859). The present study aims to show that the authors have not exhausted the explanatory potential that the concept of autopoiesis can offer for the theory of evolution. Based on the critique of Maturana and Mpodozis, a system theoretic-oriented concept for the origin of species will be developed.

To render the explanatory potential of the concept of autopoiesis more fruitful for the theory of evolution, the proposition is made that the application of this concept is not limited to the molecular, or organismal level, as propounded by Maturana and Mpodozis, but should be also related to populations and species. By exempting the design of Maturana and Mpodozis from the rudiments of methodological individualism, a new field of application for the concept of autopoiesis is explored.

The proposed system theoretic concept of evolution theory makes it possible to shed new, constructive light on fundamental problems in the conventional biology of evolution. For example, with regard to the significance of the emergence of sexuality, or how phases of accelerated change in the course of evolution (e.g. the Cambrian explosion) are possible, or regarding the problem of the units of selection.

Although there have been attempts in the social sciences to interpret populations as autopoietic systems (for example by Niklas Luhmann), the proposed approach to evolutionary biology is new. Also original is a system theoretic conception of the evolutionary theory, in a strict renunciation of methodological individualism. This renunciation permits systems theories of evolution in social science and biology to be compared across disciplines.

Recently, some biologists have argued that the time has come to replace separation between Lamarckism and Darwinism with their connection. The aim of this paper is to understand whether this paradigm shift in the interpretation of biological evolution offers useful insights for dealing with the unresolved issue of how industries and their organizational populations evolve.

Lamarckism and Darwinism are two approaches that have contrasted or interwoven with each other in the study of biological evolution, just as they have in the study of organizational evolution. This paper provides a critical analysis of the long history of the debate through to the recent, revolutionary discoveries in evolutionary microbiology obtained in the wake of the genomic revolution.

From this new research frontier emerge three important findings: adaptive variations are no longer an anomaly that is peculiar to human organizations, but rather correspond to a widely observed phenomenon in the biological world; the same can be said for the process of horizontal replication; Lamarckism and Darwinism are not two mutually exclusive interpretations of evolution but two dimensions of evolution that coexist in various ways. Lamarckian dimension of evolution and the Darwinian one, handled in the light of these results, may help to understand the evolutionary logic that underpins specific stages of the history of industries.

The paper presents a new way of looking at industries and their firms from an evolutionary perspective.

A Selective Dissemination of Information service based on computer scanning of Nuclear Science Abstracts tapes has operated at Harwell since October 1968. Users' interest profiles are constructed using Euratom index terms and NSA subject categories and matched against the Euratom index terms and subject categories assigned to each item in NSA.

The purpose of this research is to provide an integrated approach of organizational ecology, population ecology and selection mechanisms within the context of the resource-based view of the firm, evolutionary economics (EC) and transaction cost economics (TCE). It applies this framework to examine the interrelationships between corporate social reporting (CSR) and global reporting initiative.

The methodology for this paper is library-based archival research. It is qualitative and analytically descriptive of prior academic research and published literature on the subject.

CSR has the potential to provide functional credence to corporate social and environmental activities by legitimizing institutionalized corporate norms and behavior.

Accounting scholars have recognized the need for an integrated approach in the social sciences to examine the multifaceted aspects of sustainability development and accounting. This research highlights that sustainability is related to ecosystems, environments, natural resources, demography, population, culture, political systems and history.

Forest insurance is a popular way to reduce the loss of forest disasters, so it is necessary to actively involve stakeholders. In the multi-agent simulation model, the government, insurance companies and forest farmers participate as three main stakeholders. The purpose of this paper is to mainly simulate the behavior of forest farmers under different environmental variables in order to find the important factors affecting the coverage of forest insurance, so as to improve the ability of forest farmers to resist risks in the face of disasters.

In the simulation process, the decision-making rule of a forest farmer’s purchasing behavior is a binary selection chain, which is created at random. Forest farmer agents who adapt to the environment will remain; on the contrary, those will be eliminated. The eliminated agents will renew their behavior selection chains through learning others’ successful behavior based on genetic algorithm. The multi-agent mode is set up on the Eclipse platform by using Java language.

The adjustment simulation experiments of insurance premium, insurance subsidy and forest area were carried out. According to the result, conclusions and suggestions are as follows: at present, government subsidies are necessary for the implementation of forest insurance; in the future, with the expansion of the insured forest area and the upgrading and large-scale operation of forest farms, forest farmers will be more willing to join forest insurance program, and, then, the implementation of forest insurance no longer requires government subsidies for forest insurance premiums.

This paper explores the impact of three important factors on the implementation of forest insurance.