MODELING SUSTAINABLE ECONOMY: INTEGRATING ECONOMIC, ENVIRONMENTAL, AND POPULATION MODELS

2013 ◽  
Vol 10 (01) ◽  
pp. 1350007
Author(s):  
FREDERICK BETZ
Keyword(s):  
Environmental Impact ◽  
Economic Model ◽  
Simulation Models ◽  
Environmental Policies ◽  
Input Output ◽  
Physical Processes ◽  
Environmental Model ◽  
Data Architecture ◽  
Sustainable Economy ◽  
Biological Impacts

For economic and environmental policies aimed at developing sustainable economies, it is important to have a general modeling approach which can quantitatively connect economic processes with biological and physical processes of the environment. If economic processes cannot be measured as to their real physical/biological impacts, one does not know whether or not such economic processes are sustainable in nature. To create an integrated economic/environmental model, we have mathematically generalized the Leontief's input–output economic model — from vector notation to tensor notation. The use of tensor mathematics for input–output models of both an economy and its environment provides a data architecture to create simulation models of the environmental impact of an economy.

Larval Transport in the Coastal Zone: Biological and Physical Processes

2018 ◽  
Keyword(s):  
Simulation Models ◽  
Population Connectivity ◽  
Larval Transport ◽  
Larval Abundance ◽  
Transport Mechanisms ◽  
Larval Behavior ◽  
Physical Processes ◽  
Ecological Processes ◽  
Emergent Technologies ◽  
Advection Diffusion

Larval transport is fundamental to several ecological processes, yet it remains unresolved for the majority of systems. We define larval transport, and describe its components, namely, larval behavior and the physical transport mechanisms accounting for advection, diffusion, and their variability. We then discuss other relevant processes in larval transport, including swimming proficiency, larval duration, accumulation in propagating features, episodic larval transport, and patchiness and spatial variability in larval abundance. We address challenges and recent approaches associated with understanding larval transport, including autonomous sampling, imaging, -omics, and the exponential growth in the use of poorly tested numerical simulation models to examine larval transport and population connectivity. Thus, we discuss the promises and pitfalls of numerical modeling, concluding with recommendations on moving forward, including a need for more process-oriented understanding of the mechanisms of larval transport and the use of emergent technologies.

scholarly journals What Is the Environmental Impact of Wine Entering Global Value Chains? Studying the Evolution of CO2 Emissions from the Export of Spanish Denomination of Origin Wines

Foods ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1664
Author(s):  
Juan Sebastián Castillo-Valero ◽  
Inmaculada Carrasco ◽  
Marcos Carchano ◽  
Carmen Córcoles
Keyword(s):  
Environmental Impact ◽  
Co2 Emissions ◽  
Carbon Footprint ◽  
Environmental Performance ◽  
Service Provision ◽  
International Markets ◽  
Value Chains ◽  
Input Output ◽  
Continuous Growth ◽  
Wine Trade

The continuous growth of the international wine trade and the expansion of international markets is having significant commercial, but also environmental, impacts. The benefits of vineyards in terms of ecosystem service provision are offset by the increase in CO2 emissions generated by transportation. Denominations of Origin, as quality labels, emphasise a wine’s links to the terroir, where specific elements of culture and environment merge together. However, Denominations of Origin can also have differentiating elements as regards environmental performance. Drawing on an extended multiregional input–output model applied to the Spanish Denominations of Origin with the largest presence in the international wine trade, this study shows that wines with the greatest exporting tradition are those that most reduced their carbon footprint per litre of exported wine in the period 2005–2018, thus being the most environmentally efficient.

Assessing 30 Years of Neoliberal Environmental Management in Chile

2021 ◽  
Author(s):  
Javiera Barandiarán
Keyword(s):  
Environmental Management ◽  
Ecosystem Services ◽  
Environmental Impact ◽  
Scientific Knowledge ◽  
Conflicts Of Interest ◽  
Environmental Policies ◽  
Environmental Impact Assessments ◽  
Water Ecosystem ◽  
Negative Impacts ◽  
Mutual Accountability

Neoliberal environmental policies operate through markets, including for carbon, water, ecosystem services, or—as in contemporary Chile—for environmental scientific knowledge. Chile illustrates how markets for science operate, such as for monitoring data or environmental impact assessments, and their negative impacts on public trust in science and on the state’s regulatory efforts. In a society governed by a market for science, environmental scientists cannot escape the suspicion that conflicts of interest compromise their independence and the credibility of their work. Chile’s neoliberal 1980 Constitution sustains this market for knowledge but will be reformed following national demonstrations in 2019. The health of Chile’s environment depends on a new constitution that democratizes both democracy and science. Rights of nature doctrines, as in Ecuador’s 2008 Constitution, can provide the constitutional foundation for strong mutual accountability between science, the state, society, and nature.

scholarly journals Forecasting Rail Freight Traffic from a Statewide Economic Model

1984 ◽  
Vol 16 (2) ◽  
pp. 83-90
Author(s):  
Jeffrey L. Jordan ◽  
Stanley R. Thompson
Keyword(s):  
Case Studies ◽  
Economic Model ◽  
Statistical Tests ◽  
Input Output ◽  
Transportation Demand ◽  
Rail Freight ◽  
Freight Traffic ◽  
The Relationship ◽  
Rail Traffic

AbstractThe purpose of this study was to develop a procedure for estimating future rail traffic that considers the relationship between the structure of a state's economy and rail freight traffic. The study expands the use of input-output models to include the forecasting of transportation demand. Georgia and Michigan case studies were used to test the forecasting capability of the input-output procedure. For Michigan's 1980 rail movements, the model predicted rail traffic to within 0.15 percent of actual traffic. For 1979 Georgia traffic, the model predicted within 4.3 percent of actual traffic. Various statistical tests indicate that the procedure was effective in forecasting rail freight traffic.

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