Computer models and forecasting socio-economic impacts of growth and development proceedings of a conference held in Jasper Park Lodge, April 20-23, l980

Cover of: Computer models and forecasting socio-economic impacts of growth and development |

Published by The Faculty in [Edmonton, Alta .

Written in English

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  • City planning -- Congresses.,
  • City planning -- Automation -- Congresses,
  • Cities and towns -- Growth -- Social aspects -- Congresses,
  • Economic indicators

Edition Notes

Includes bibliographical references.

Book details

Statementsponsored by the Faculty of Extension, the University of Alberta.
ContributionsUniversity of Alberta. Faculty of Extension.
LC ClassificationsHT153 .C64 1980, HT153 C64 1980
The Physical Object
Pagination[xvi], 398 p. :
Number of Pages398
ID Numbers
Open LibraryOL20799432M

Download Computer models and forecasting socio-economic impacts of growth and development

Research highlights We examine global food production development until with a partial equilibrium model of agriculture and forestry. Exogenous drivers include population growth, economic development, technical change, and two alternative deforestation policies.

Food prices, per capita consumption of food, and the ratio between plant and animal food change relatively little across Cited by: based models of socio-economic development and prospects for further research in this field.

It has been established that the agent-based approach to the modeling of socio-economic development of. From social data mining to forecasting Socio-Economic crises.

impedes the progress in the area of developing realistic computer models. In order to create such lists, while it impacts the. Conclusions Analysis of the obtained options for development of life quality of population in the region, as well as the retrospective assessment of socio-economic development in the Republic of Tatarstan allow us to offer 5 scenarios of the life quality formation in the region: I.

Inertial (pessimistic) scenario (variants I Cited by: 1. Socio-Economic Data Forecasting Methodology The Washington County CTP Committee worked with NCDOT to estimate population growth, economic development potential, and land use trends to determine the potential impacts on the future transportation system in This data was endorsed by the CTP Committee on May 19th, The established future.

Floods are the most devastating hazards that have significant adverse impacts on people and their livelihoods. Their impacts can be reduced by investing on: 1) improving the forecasting skills of extreme and heavy rainfall events, 2) development of Impacts Based Flood Early Warning System (IBFEWS) and 3) effective communication of impacts from anticipated extreme or heavy rainfall : Doreen M.

Anande, Philbert M. Luhunga. General equilibrium analysis also allows for insight into the socio-economic impacts, including income, welfare, and employment, of policy decisions and economic shocks.

These are particularly important when assessing the impact of policy decisions on different communities in the economy. Description: This book presents a series of studies on the socio-economic impacts of tourism, with a special focus on the determinants of tourism competitiveness at the destination level.

The authors offer a systematic overview of this important issue, presenting relevant empirical studies from different parts of the world, based on modern. Economic growth is an increase in the production of goods and services over a specific period.

To be most accurate, the measurement must remove the effects of inflation. Economic growth creates more profit for businesses. As a result, stock prices rise. That gives companies capital to invest and hire more employees. Forecasting models are commonly used in business and economics, meteorology and environmental sciences, such as hydrology.

For example in business, conceiving a means to predict stock market returns has been a well anticipated goal of some financial practitioners as such forecasting have hefty impacts on the overall stock firms performance and Author: Corey L.

Moore, Ningning Wang, Kenyotta Eugene-Cross, Andre L. Washington. Alexander Kvashnin posted this: Director at Center for Technology Transfer and Commercialization of Novosibirsk State University. Evidence-based knowledge of the Aral sea for the development of socio-economic strategies based on an understanding of natural processes in the region in the past, present and future The results obtained by the research team are exceptionally new and have no.

Co-authored with Syukuro Manabe of Princeton University, EOAS faculty member Anthony Broccoli’s new book “documents Manabe’s scientific journey to a deeper understanding of climate change.” By Craig Winston The timing could not be better.

The Democratic political debates are ripe with discussion of global warming. Climate activists continue their protests around the world. On Forecasting Techniques in Socio-economic Environment 7 aspects, improvements of social and health-care policies, as well as exogenous changes in world economic and political climate and family-size planning devices.

Forecasting with Causal Chain Models. The socio-economic condition of people living in these areas is not as per the normal standard. Hence, it becomes imperative to provide these people with cheap power and energy. The governments in these areas look for options, like solar energy, to.

Economic forecasting is the process of making predictions about the economy. Forecasts can be carried out at a high level of aggregation—for example for GDP, inflation, unemployment or the fiscal deficit—or at a more disaggregated level, for specific sectors of the economy or even specific firms.

Many institutions engage in economic forecasting: national governments, banks and central. The third theory believes that population growth have no impact on economic growth and development. Statement of the Problem Due to these divergent views among scholars on whether its population growth that drives economic growth or vice versa, the following research questions emerged: Research Questions Size: KB.

Full text of "From Social Data Mining to Forecasting Socio-Economic Crisis" See other formats. Models of Economic Growth. Classical Model of Economic Growth. Every nation strives after development. Economic progress is an essential component, but it is not the only component.

Economic development is not purely an economic phenomenon. In an ultimate sense, it must encompass more than the material and financial side of people’s lives. Socio-economic growth: The development and growth impacts of transportation infrastructure on the economy and the society. Wider economic impacts: Introduction of a local transport investment is influential in changing the effective density of employment Cited by: 1.

Financial Development, Growth, and Crisis: Is There a Trade-Off. w Jesse K. Anttila-Hughes Lia C.H. Fernald Paul J. Gertler Patrick Krause Bruce Wydick: Mortality from Nestlé's Marketing of Infant Formula in Low and Middle-Income Countries: w Yuriy Gorodnichenko Debora Revoltella Jan Svejnar Christoph T.

Weiss. impacts models that INDOT could select to meet its needs. The objective of this research project was to review REMI’s socioeconomic forecasting process and assess the appropriateness of using REMI forecasts/output within the INDOT planning process. Specific objectives included the following: N Review INDOT’s current REMI socioeconomic forecast.

The primary topics in the literature about urban prediction studies are related to the introduction of new models, forecasting future urban growth, and examining urban growth-related impacts. As noted, in the early s, a series of new prediction models (e.g., CA, CUF, CLUE, LTM) were by: 2.

Many of the grand challenges in spatial planning require a thorough understanding of both the socio-economic and physical dynamics that shape the land-use system. This is particularly true when addressing the many aspects related to climate change.

Integrated models of land-use change can be helpful to understand the potential implications of the interplay between expected future changes in Author: Jip Claassens, Eric Koomen, Bart Rijken. CONTEMPORARY ECONOMIC GROWTH MODELS AND THEORIES: A LITERATURE REVIEW Ilkhom SHARIPOV* Abstract: One of the most important aspects of human development is the ability to have a decent standard of living.

The secret of the "economic miracle" of many countries that have high standard of living, in fact, is simple and quite Size: KB. Macroeconomic forecasting with agent-based models. implementation of policies according to different socio-economic scenarios.

The results for the development of agent-based models. It also takes as a methodological guide the multi-agent Lagom Regio model (Wolf. Developing Direct Demand AADT Forecasting Models for Small and Medium Sized Urban Communities.

in thestudy or model development because socio-economic variable would not be relevant to produce the direct demand AADT forecasting models. The use of computer models runs right through the heart of climate science. From helping scientists unravel cycles of ice ages hundreds of thousands of years ago to making projections for this century or the next, models are an essential tool for understanding the Earth’s climate.

This work touches upon the tasks of describing regional socio-economic development. The nature of the considered problem indicates the fact that the only relevant tool here is mathematical modeling. In this paper, the application of mathematical modeling is considered for the problem of managing regional development.

The results of calculations based on the regional dynamic model that passes Cited by: 2. Ramesh S. () Models of Economic Growth, Institutional Differences and Socio-economic Costs of Development.

In: China's Lessons for India: Volume I. Palgrave Macmillan, Cham First Online 05 September Author: Sangaralingam Ramesh. The development of a comprehensive approach that integrates all these factors into irrigation and drainage project selection, requires further research of the processes governing climate changes, the impacts of increased atmospheric carbon dioxide on vegetation and runoff, the effect of climate variables on water demand for irrigation and the.

The use of computer-based models of land use change and urban growth has greatly increased. Digital models of LUCC have become powerful tools to help understand and analyze important connections between socio-economic processes and urban processes.

Current research uses these models to support analyses of both causes and consequences of land. How can the process of technology creation be incorporated into "endogenous growth" models.

What causes cross-country divergencies in growth rates. What causes volatility in growth rates across time. Readings. Phillipe Aghion and Peter Howitt, Endogenous. Climate policy models are valuable for exploring concepts and ideas, but they have come to serve as a huge distraction when it comes to the development of actual policies that Author: Roger Pielke.

Using detailed computer models of the Earth's climate, atmospheric scientists have produced startling scenarios of the future climate conditions that willmore» These projection a predict higher average temperatures, changes in patterns of precipitation, greater seasonal and annual variability in weather, and an increased frequency of such.

Recommendation: More attention should be devoted to predicting, planning, monitoring, and assessing the cumulative impacts of roads.

In some cases, the appropriate spatial scale for the assessment will cross state boundaries, and especially in those cases, collaboration and cooperation among state agencies would be helpful.

The Need for Teleological Models in Forecasting Information technology is directed by the processes of society at least as much as it impacts them. Up to its present stage its development has been governed by existing social processes and the dominant value system.

It is only just beginning to become an agent for social change. The. Impacts of Planning Rules, Regulations, Uncertainty and Delay on Residential Property Development Adjustment in Local Labour and Housing Markets Bi-Directional Impacts of Economic, Social and Environmental Changes and the New Zealand Housing Market.

Impact of Illicit Financial Flow on Economic Growth and Development: Evidence from Nigeria. International Journal of Management Science and Business Administration, 3(4), pp APA: Ogbonnaya, A.K. & Ogechuckwu, O.S. Impact of Illicit Financial Flow on Economic Growth and Development: Evidence from : Amah Kalu Ogbonnaya, Okezie Stella Ogechuckwu.

Climate change is affected by population and economic growth, and therefore the socio-economic forecasts (see Keysheet 3) are important to understand how different growth scenarios might impact on the degree of climate change. Two different socio-economic File Size: KB. Transportation forecasting is the attempt of estimating the number of vehicles or people that will use a specific transportation facility in the future.

For instance, a forecast may estimate the number of vehicles on a planned road or bridge, the ridership on a railway line, the number of passengers visiting an airport, or the number of ships calling on a seaport.

Downloadable (with restrictions)! Energy is vital for sustainable development of any nation – be it social, economic or environment. In the past decade energy consumption has increased exponentially globally.

Energy management is crucial for the future economic prosperity and environmental security. Energy is linked to industrial production, agricultural output, health, access to water.The team is generating for the region new insights and more reliable information about climate processes and extreme weather events and their impacts on water, energy and agriculture, with the aim to support long-term – 5 to 40 years – planning decisions around resource use, infrastructure investment and cross-sectoral growth priorities.Electricity access and rural development: Review of complex socio-economic dynamics and causal diagrams for more appropriate energy modelling Energy for Sustainable Development, Vol.

43 Agent-based computational models to explore diffusion of medical innovations among cardiologistsCited by:

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