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Books on the topic 'Dynamic change models'

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Published: 4 June 2021

Last updated: 1 February 2022

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1

Jeffers, J. N. R. Practitioners handbook on the modelling of dynamic change in ecosystems. Chichester: Published on behalf of the Scientific Committee on Problems of the Environment (SCOPE) of the International Council of Scientific Unions (ICSU) by Wiley, 1988.

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2

Gemmell, Norman. Dynamic sectoral linkages and structural change in a developing economy. Nottingham: University of Nottingham, Centre for Research in Economic Development and International Trade, 1998.

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3

Geert, Paul van. Dynamic systems of development: Change between complexity and chaos. New York: Harvester Wheatsheaf, 1994.

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4

Jeffers, J. N. R. Practitioner's handbook on the modelling of dynamic change in ecosystems. Chichester [West Sussex]: Published on behalf of the Scientific Committee on Problems of the Environment of the International Council of Scientific Unions by Wiley, 1988.

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5

Aulin-Ahmavaara, Pirkko. A dynamic input-output model with non-homogeneous labour for evaluation of technical change. Helsinki: Suomalainen Tiedeakatemia, 1987.

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6

Becker, Torbjörn. Common trends and structural change: A dynamic macro model for the pre- and postrevolution Islamic Republic of Iran. [Washington, D.C.]: International Monetary Fund, Research Department, 1999.

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7

Canada. Minerals and Metals Sector. Economic impact of carbon abatement policies and market structure: A dynamic general equilibrium analysis with imperfect competition. Ottawa: Industry Canada, 2001.

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8

Ulrike, Jessner, ed. A dynamic model of multilingualism: Perspectives of change in psycholinguistics. Clevedon, England: Multilingual Matters, 2002.

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9

Baily, Martin Neil. Labor productivity: Structural change and cyclical dynamics. Cambridge, MA: National Bureau of Economic Research, 1996.

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10

Hlinka, Anton. Každý sa môže zmeniť: Dynamické modely spravania. Bratislava: Don Bosco, 1994.

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11

Christoffersen, Peter F. Financial asset returns, direction-of-change forecasting, and volatility dynamics. Cambridge, Mass: National Bureau of Economic Research, 2003.

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12

Agarwal, Vijay K. A statistical-dynamic climate model with explicit radiative and cloud forcing. Bangalore: Indian Space Research Organisation, 1992.

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13

Vadimovich, Gruza Georgiĭ, ed. Klimaticheskai͡a︡ izmenchivostʹ: Stokhasticheskie modeli, predskazuemostʹ, spektry. Moskva: "Nauka", 1985.

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14

Serven, Luis. Anticipated real exchange-rate changes and the dynamics of investment. Washington, DC (1818 H St., NW, Washington 20433): Macroeconomic Adjustment and Growth, Country Economics Dept., World Bank, 1990.

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15

Aulin-Ahmavaara, Pirkko. A dynamic input-output model with non-homogenous labour for evaluation of technical change. Helsinki: Suomalainen Tiedeakatemia, 1987.

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16

Lentz, Sebastian, and Otti Margraf. Quantitative Methoden und geographische Landschaftsforschung: Ergebnisse zur Moedellierung von Landschaftselementen. Mannheim: Im Selbstverlag des Geographischen Instituts der Universität Mannheim, 1999.

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17

Eleveld, Marieke A. Exploring coastal morphodynamics of Ameland (the Netherlands) with remote sensing monitoring techniques and dynamic modelling in GIS. [Enschede, the Netherlands: ITC, 1999.

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18

Nünning, Ansgar, Michael Basseler, Christine Schwanecke, and Elizabeth Kovach. The cultural dynamics of generic change in contemporary fiction: Theoretical frameworks, genres, and model interpretations. Trier: WVT, Wissenschaftlicher Verlag Trier, 2013.

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19

Baanante, Carlos A. A dynamic model to forecast and evaluate changes and trends in the global market for fertilizers. Muscle Shoals, AL: IFDC, 2010.

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20

Dynamical cognitive science. Cambridge, Mass: MIT Press, 2002.

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21

April, Fallon, and American Psychological Association, eds. Group development in practice: Guidance for clinicians and researchers on stages and dynamics of change. Washington, DC: American Psychological Association, 2009.

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22

Blanchard, Olivier. An empirical characterization of the dynamic effects of changes in government spending and taxes on output. Cambridge, MA: National Bureau of Economic Research, 1999.

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23

Smolensky, Eugene. An application of a dynamic cost-of-living index to the evaluation of changes in social welfare. [Madison]: University of Wisconsin-Madison, 1986.

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24

Naevdal, Eric. Dynamic optimisation in the presence of threshold effects when the location of the threshold is uncertain: With an application to a possible disintegration of the Western Antarctic ice sheet. [Princeton, NJ]: Woodrow Wilson School of Public and International Affairs, 2003.

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25

Campbell, Jeffrey R. Organizational flexibility and employment dynamics at young and old plants. Cambridge, MA: National Bureau of Economic Research, 1998.

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26

Meade, Douglas S., ed. In Quest of the Craft. Florence: Firenze University Press, 2015. http://dx.doi.org/10.36253/978-88-6655-820-0.

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INFORUM is a research project started more than forty five years ago by Clopper Almon. The focus is on the development of dynamic, interindustry, macroeconometric models to forecast the economy in the long run. Over the last 30 years, the Inforum approach to model building has been shared by economists in many different countries. Researchers have focused much of their efforts to developing a linked system of international interindustry models with a consistent methodology. A world-wide network of research associates use similar methods and a common software obtaining comparable results to produce studies of common interest to the group. Inforum partners have shared their research in an annual conference since 1993. The XXII Inforum World Conference was held in Alexandria, Virginia in September 2014 and this book contains a selection of papers presented during the sessions. All these contributions share an empirical and pragmatic orientation that is very useful for policymakers, business, and applied economists. Some papers are devoted to specific topics (productivity, energy, international trade, demographic changes) and some others are oriented to model building and simulations.

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27

Mishchenko, Aleksandr, and Elena Miheeva. Methods of assessment of efficiency of management of production and financial activity of the enterprise. ru: INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/monography_5d1ae60d82d6d9.87533425.

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The proposed book describes the static and dynamic models of optimization of production and financial activities of the enterprise in the conditions of deterministic source data, and taking into account the uncertainty and risk. In the latter case, when choosing a management decision, not only the amount of expected profit, but also various types of risks, as well as such an indicator as the stability of the selected option of production and economic activity to changes in the market environment, are taken into account.

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28

Cogan, Susan M. Catholic Social Networks in Early Modern England. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463726948.

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Catholic Social Networks in Early Modern England: Kinship, Gender, and Coexistence explores the lived experience of Catholic women and men in the post-Reformation century. Set against the background of the gendered dynamics of English society, this book demonstrates that English Catholics were potent forces in the shaping of English culture, religious policy, and the emerging nation-state. Drawing on kinship and social relationships rooted in the medieval period, post Reformation English Catholic women and men used kinship, social networks, gendered strategies, political actions, and cultural activities like architecture and gardening to remain connected to patrons and to ensure the survival of their families through a period of deep social and religious change. This book contributes to recent scholarship on religious persecution and coexistence in post-Reformation Europe by demonstrating how English Catholics shaped state policy and enforcement of religious minorities and helped to define the character of early models of citizenship formation.

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29

Jaspin, Michael D. Dynamic pollution regulation with endogenous technological change. 1996.

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30

Barzilay, Shira, and Abbie Cohen. Psychological Models of Suicide. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190260859.003.0002.

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A comprehensive model of suicidal processes and behavior is essential for the assessment of imminent risk for suicide and for the design of informed interventions. This chapter provides descriptions of the three generations of the most influential theories of suicidal behavior as well as an assessment of their strengths and limitations. First-generation models were based on clinicians’ individual experiences and, more recently, on consensus opinion and clinical judgment. Second-generation prognostic models hypothesized that suicide risk was determined by measurable long-term biological, clinical, or demographic risk factors. Third-generation models of suicidal behavior focused on dynamic risk elements, which appear later in life, change over time, and are operational immediately proximal to suicide. This chapter provides a historical perspective on the evolution of the theoretical approaches to the understanding of psychological processes that make suicide possible.

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31

Bui, Ngoc Son. Constitutional Change in the Contemporary Socialist World. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198851349.001.0001.

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This book explores and explains how and why the five current socialist countries (China, Cuba, Laos, North Korea, and Vietnam) have changed their constitutions since the fall of the Cold War and the rise of globalization. It demonstrates that constitution-making, replacement, and amendment in the contemporary socialist world display the dynamic constitution, party institutionalization, power distribution, rights universalization, and economic marketization. The function of this progressive constitutional change is to facilitate the active role of the party-state in improving the living conditions of local residents. Integrating comparative constitutional law and social sciences, this book explains the intellectual foundations, legal-institutional aspects, and political economy of socialist constitutional change. This book identifies five divergent models of socialist constitutional change depending on the prominence of influential factors: universal convergence (Vietnam), ethnic integration (Laos), historical reservation (Cuba), exceptional attitude (China), and personal rule (North Korea).

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32

Wing, Ian Sue, and Edward J. Balistreri. Computable General Equilibrium Models for Policy Evaluation and Economic Consequence Analysis. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.7.

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This chapter reviews recent applications of computable general equilibrium (CGE) modeling in the analysis and evaluation of policies that affect interactions among multiple markets. At the core of this research is a particular approach to the data and structural representations of the economy, elaborated through the device of a canonical static multiregional model. This template is adapted and extended to shed light on the structural and methodological foundations of simulating dynamic economies, incorporating “bottom-up” representations of discrete production activities, and modeling contemporary theories of international trade with monopolistic competition and heterogeneous firms. These techniques are motivated by policy applications including trade liberalization, development, energy policy and greenhouse gas mitigation, the impacts of climate change and natural disasters, and economic integration and liberalization of trade in services.

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33

1943-, Solomon Allen M., and Shugart H. H, eds. Vegetation dynamics & global change. New York: Chapman & Hall, 1993.

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34

Solomon, Allen M. Vegetation Dynamics & Global Change. Springer, 2012.

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35

Solomon, Allen M., and Herman H. Shugart. Vegetation Dynamics And Global Change. Springer, 2007.

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36

Kiyoshi, Horikawa, ed. Nearshore dynamics and coastal processes: Theory, measurement, and predictive models. [Tokyo]: University of Tokyo Press, 1988.

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37

Empson, Laura. Leadership Dynamics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198744788.003.0003.

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This chapter explains in detail how leadership actually happens in a professional organization. The concept of plural leadership emphasizes that leadership is something that happens between people and is therefore co-constructed through interaction. This chapter develops a model of plural leadership dynamics, which emphasizes how leadership is fluid and unstable, changing and adapting as the relations between professionals change and adapt. Leadership dynamics in this context encompasses three microdynamics: ‘legitimizing’, ‘negotiating’, and ‘manoeuvring’. In other words, the model demonstrates how leadership in professional organizations is the result of a complex and highly nuanced set of interactions among peers, rather than a simpler, more transactional exchange between leaders and followers. In professional organizations, leadership represents an unstable equilibrium—it changes and adapts as relations between professionals change and adapt. The leaders who misjudge the subtleties of these interactions will quickly discover that nobody has to ‘follow’ them.

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38

Managing Change In It Outsourcing Towards A Dynamic Fit Model. Palgrave MacMillan, 2012.

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39

Gao, Yanhong, and Deliang Chen. Modeling of Regional Climate over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.591.

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The modeling of climate over the Tibetan Plateau (TP) started with the introduction of Global Climate Models (GCMs) in the 1950s. Since then, GCMs have been developed to simulate atmospheric dynamics and eventually the climate system. As the highest and widest international plateau, the strong orographic forcing caused by the TP and its impact on general circulation rather than regional climate was initially the focus. Later, with growing awareness of the incapability of GCMs to depict regional or local-scale atmospheric processes over the heterogeneous ground, coupled with the importance of this information for local decision-making, regional climate models (RCMs) were established in the 1970s. Dynamic and thermodynamic influences of the TP on the East and South Asia summer monsoon have since been widely investigated by model. Besides the heterogeneity in topography, impacts of land cover heterogeneity and change on regional climate were widely modeled through sensitivity experiments.In recent decades, the TP has experienced a greater warming than the global average and those for similar latitudes. GCMs project a global pattern where the wet gets wetter and the dry gets drier. The climate regime over the TP covers the extreme arid regions from the northwest to the semi-humid region in the southeast. The increased warming over the TP compared to the global average raises a number of questions. What are the regional dryness/wetness changes over the TP? What is the mechanism of the responses of regional changes to global warming? To answer these questions, several dynamical downscaling models (DDMs) using RCMs focusing on the TP have recently been conducted and high-resolution data sets generated. All DDM studies demonstrated that this process-based approach, despite its limitations, can improve understandings of the processes that lead to precipitation on the TP. Observation and global land data assimilation systems both present more wetting in the northwestern arid/semi-arid regions than the southeastern humid/semi-humid regions. The DDM was found to better capture the observed elevation dependent warming over the TP. In addition, the long-term high-resolution climate simulation was found to better capture the spatial pattern of precipitation and P-E (precipitation minus evapotranspiration) changes than the best available global reanalysis. This facilitates new and substantial findings regarding the role of dynamical, thermodynamics, and transient eddies in P-E changes reflected in observed changes in major river basins fed by runoff from the TP. The DDM was found to add value regarding snowfall retrieval, precipitation frequency, and orographic precipitation.Although these advantages in the DDM over the TP are evidenced, there are unavoidable facts to be aware of. Firstly, there are still many discrepancies that exist in the up-to-date models. Any uncertainty in the model’s physics or in the land information from remote sensing and the forcing could result in uncertainties in simulation results. Secondly, the question remains of what is the appropriate resolution for resolving the TP’s heterogeneity. Thirdly, it is a challenge to include human activities in the climate models, although this is deemed necessary for future earth science. All-embracing further efforts are expected to improve regional climate models over the TP.

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40

Snijders, Tom A. B., and Mark Pickup. Stochastic Actor Oriented Models for Network Dynamics. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.10.

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Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longitudinal network data collected as a panel. The probability model defines an unobserved stochastic process of tie changes, where social actors add new ties or drop existing ties in response to the current network structure; the panel observations are snapshots of the resulting changing network. The statistical analysis is based on computer simulations of this process, which provides a great deal of flexibility in representing data constraints and dependence structures. In this Chapter we begin by defining the basic model. We then explicate a new model for nondirected ties, including several options for the specification of how pairs of actors coordinate tie changes. Next, we describe coevolution models. These can be used to model the dynamics of several interdependent sets of variables, such as the analysis of panel data on a network and the behavior of the actors in the network, or panel data on two or more networks. We finish by discussing the differences between Stochastic Actor Oriented Models and some other longitudinal network models. A major distinguishing feature is the treatment of time, which allows straightforward application of the model to panel data with different time lags between waves. We provide a variety of applications in political science throughout.

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41

Postma, Gertjan. Modelling transient states in language change. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198747840.003.0006.

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Models of language change may include, apart from the initial and terminal state, an intermediate state T. Building further on Postma (2010), who observed that the dynamics of the transient state T (’failed change’) is algebraically related to the overall change A → B (the former is the first derivative of the latter), we present a generalized algebraic model that includes both the failed change A → B and the successful change A → B. We first generalize the two-state logistic function of A → B to a differential equation (DE) that represents the underlying processes. This DE has a bundle of time shifted logistic curves as its solution. This derives Kroch’s Constant Rate Effect. By modifying this DE, we describe the dynamics of the entire A → T → B process, i.e. we develop a model that includes both the successful and the failed change. The algebraic link between failed change and successful change turns out to be an approximation.

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42

Coonce, Vincent M. Dynamic simulation of drying and quality changes during malt kilning. 1992.

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43

Jessner, Ulrike, and Philip Herdina. A Dynamic Model of Multilingualism: Perspectives of Change in Psycholinguistics (Multilingual Matters). Multilingual Matters Limited, 2001.

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44

Schmid, Hans-Jörg. The Dynamics of the Linguistic System. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198814771.001.0001.

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This book develops a model of language which can be characterized as functionalist, usage-based, dynamic, and complex-adaptive. Its core idea is that linguistic structure is not stable and uniform, but continually refreshed and in fact reconstituted by the feedback-loop interaction of three components: usage, i.e. the interpersonal and cognitive activities of speakers in concrete communication; conventionalization, i.e. the social processes taking place in speech communities; and entrenchment, i.e. the cognitive processes taking place in the minds of individual speakers. Extending the so-called Entrenchment-and-Conventionalization Model, the book shows that what we call the Linguistic System is created, sustained, and continually adapted by the ongoing interaction between usage, conventionalization, and entrenchment. The model contributes to closing the gap in usage-based models concerning how exactly usage is transformed into collective and individual grammar and how these two grammars in turn feed back into usage. The book exploits and extends insights from an exceptionally wide range of fields, including usage-based cognitive linguistics, psycholinguistics, interactional linguistics and pragmatics, historical linguistics, sociolinguistics and the sociology and philosophy of language, as well as quantitative corpus linguistics. It makes numerous original suggestions about, among other things, how cognitive processing and representation are related and about the manifold ways in which individuals and communities contribute to shaping language and bringing about language variation and change. It presents a coherent account of the role of forces that are known to affect language structure, variation, and change, e.g. economy, efficiency, extravagance, embodiment, identity, social order, prestige, mobility, multilingualism, and language contact.

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45

Fund, International Monetary, ed. Bank lending and interest rate changes in a dynamic matching model. Washington, D.C: International Monetary Fund, 1998.

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46

Ferraro, Kenneth F. Multifaceted Change. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190665340.003.0004.

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Aging involves multiple related systems; change in one system influences other systems. Nathan Shock referred to aging as a dynamic equilibrium and argued that studying the interrelationships of multiple systems is essential for gerontology. A growing number of researchers study relations across systems, but many focus on syndromes of declining health or function, without much regard for alternative scenarios such as nonlinear change and compensatory mechanisms. The axiom of multifaceted change contends that viewing aging as a syndrome of decline oversimplifies the changes involved. Instead, gerontology needs a biopsychosocial model to study aging as a multidirectional change process across multiple systems. Research on how social factors influence telomere length is used to illustrate this axiom.

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47

Führung gestaltet. Nomos Verlagsgesellschaft mbH & Co. KG, 2019. http://dx.doi.org/10.5771/9783748903611.

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The central question addressed in the generational debate at the Socio-Economics Conference 2019 was ‘What do I expect from modern management culture?’. Generational change, digitalisation and cultural change are not only putting socio-economics and health management companies to the test, but the working world in general is becoming more dynamic, traditional business models and structures are undergoing transformation processes and disruptive developments are replacing normal phases of renewal and regeneration. These conference transcripts highlight, among other things, innovative ways of thinking, agile structures, management without a hierarchy, diversity management, managers in the future and a healthy business culture. The time of steady change is over; a time of radical change has begun.

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48

Climate System Dynamics and Modelling. Cambridge University Press, 2015.

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49

Climate System Dynamics and Modelling. Cambridge University Press, 2015.

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50

Railsback, Steven F., and Bret C. Harvey. Modeling Populations of Adaptive Individuals. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691195285.001.0001.

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Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach to modeling trade-off behaviors in contexts such as individual-based population models where feedbacks and variability make optimization impossible. This book features a wealth of examples that range from highly simplified behavior models to complex population models in which individuals make adaptive trade-off decisions about habitat and activity selection in highly heterogeneous environments. The book explains how SPT builds on key concepts from the state-based dynamic modeling theory of behavioral ecology, and how it combines explicit predictions of future conditions with approximations of a fitness measure to represent how individuals make good—not optimal—decisions that they revise as conditions change. The resulting models are realistic, testable, adaptable, and invaluable for answering fundamental questions in ecology and forecasting ecological outcomes of real-world scenarios.

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