scholarly journals Economic policy making for environmental problems as an interactive learning process

2002 ◽  
Vol 5 (2) ◽  
pp. 308-335
Author(s):  
M. P. De Wit
Keyword(s):  
Climate Change ◽  
Public Policy ◽  
Economic Policy ◽  
Global Climate Change ◽  
Learning Process ◽  
Policy Making ◽  
Policy Design ◽  
Interactive Learning ◽  
Global Climate ◽  
Environmental Problems

The foremost limitation of public policy approaches is that the context of the public policy problem is not taken into account. In the case of complex and dynamic environmental problems, such as global climate change, there is a need for a framework for approaching economic policy that takes account of the complexity and changing realities of such problems. The objective of this paper is to present a framework to approach economic policy making in a case of such complex and dynamic environmental problems. The literature on economic and public policy theories, the need for a systematic policy design process and approaches to complexity and dynamics in policy making is framework available to one where the focus is on the best learning process to facilitate economic policy making on complex and dynamic environmental problems. Based on sociological models of experiential learning, a multiple-loop learning framework (MLLF) is presented. This model illustrates the importance of orchestrated science-policy interactions through interactive learning. The opportunities and limitations of this model are discussed with reference to the debate on economic policy for global climate change.

scholarly journals Managing pandemics as super wicked problems: lessons from, and for, COVID-19 and the climate crisis

2021 ◽  
Author(s):  
Graeme Auld ◽  
Steven Bernstein ◽  
Benjamin Cashore ◽  
Kelly Levin
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Multiple Scales ◽  
Policy Design ◽  
Global Climate ◽  
Path Dependency ◽  
Wicked Problem ◽  
Forward Path ◽  
Resource Requirements ◽  
Climate Crisis

AbstractCOVID-19 has caused 100s of millions of infections and millions of deaths worldwide, overwhelming health and economic capacities in many countries and at multiple scales. The immediacy and magnitude of this crisis has resulted in government officials, practitioners and applied scholars turning to reflexive learning exercises to generate insights for managing the reverberating effects of this disease as well as the next inevitable pandemic. We contribute to both tasks by assessing COVID-19 as a “super wicked” problem denoted by four features we originally formulated to describe the climate crisis: time is running out, no central authority, those causing the problem also want to solve it, and policies irrationally discount the future (Levin et al. in Playing it forward: path dependency, progressive incrementalism, and the “super wicked” problem of global climate change, 2007; Levin et al. in Playing it forward: Path dependency, progressive incrementalism, and the "super wicked" problem of global climate change, 2009; Levin et al. in Policy Sci 45(2):123–152, 2012). Doing so leads us to identify three overarching imperatives critical for pandemic management. First, similar to requirements to address the climate crisis, policy makers must establish and maintain durable policy objectives. Second, in contrast to climate, management responses must always allow for swift changes in policy settings and calibrations given rapid and evolving knowledge about a particular disease’s epidemiology. Third, analogous to, but with swifter effects than climate, wide-ranging global efforts, if well designed, will dramatically reduce domestic costs and resource requirements by curbing the spread of the disease and/or fostering relevant knowledge for managing containment and eradication. Accomplishing these tasks requires building the analytic capacity for engaging in reflexive anticipatory policy design exercises aimed at maintaining, or building, life-saving thermostatic institutions at the global and domestic levels.

scholarly journals Innovation in the teaching-learning process of global climate change through the collaborative wall

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Ricardo-Adán Salas-Rueda ◽  
Gustavo De-La-Cruz-Martínez ◽  
Clara Alvarado-Zamorano ◽  
Estefanía Prieto-Larios
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Learning Process ◽  
Web Application ◽  
Data Science ◽  
Global Climate ◽  
Active Participation ◽  
Educational Process ◽  
Main Role ◽  
Teaching Learning

The aim of this mixed research is to analyze the students' perception about the use of the collaborative wall in the educational process of global climate change considering data science. The collaborative wall is a web application that allows the active participation of students and discussion of ideas in the classroom. During the face-to-face sessions, the students use mobile devices to share the information and images of the courses through the collaborative wall. The sample is made up of 74 students from the National Preparatory School No. 7 “Ezequiel A. Chávez” who took the Biology IV course during the 2019 school year. The results of machine learning (linear regression) indicate that the organization of ideas and dissemination of information in the collaborative wall positively influence the learning process of global climate change, motivation and interest of the students. Data science identifies 6 predictive models about the use of the collaborative wall in the field of Biology through the decision tree technique. In fact, the use of the collaborative wall in the Biology IV course facilitated the assimilation of knowledge about the global climate change and improved the active participation of the students in the classroom. Finally, the collaborative wall allows the creation of new educational spaces where students acquire the main role during the learning process.

scholarly journals Uncertain Seasons in the El Niño Continent: Local and Global Views

2019 ◽  
pp. 7-19
Author(s):  
Libby Robin
Keyword(s):  
Climate Change ◽  
Public Policy ◽  
Mathematical Models ◽  
Global Climate Change ◽  
Global Climate ◽  
Extreme Weather ◽  
The State ◽  
Seasonal Patterns ◽  
Weather Events ◽  
Local Weather

As global climate change shifts seasonal patterns, local and uncertain seasons of Australia have global relevance. Australia’s literature tracks extreme local weather events, exploring ‘slow catastrophes’ and ‘endurance.’ Humanists can change public policy in times when stress is a state of life, by reflecting on the psyches of individuals, rather than the patterns of the state. ‘Probable’ futures, generated by mathematical models that predict nature and economics, have little to say about living with extreme weather. Hope is not easily modelled. The frameworks that enable hopeful futures are qualitatively different. They can explore the unimaginable by offering an ‘interior apprehension.’

Incorporating Energy Criteria in Intermodal Transportation Policy Decisions

1996 ◽  
Vol 1522 (1) ◽  
pp. 83-86
Author(s):  
Nancy L. Bester
Keyword(s):  
Climate Change ◽  
Public Policy ◽  
Air Quality ◽  
Global Climate Change ◽  
Local Governments ◽  
Global Climate ◽  
Public Policies ◽  
Growth Management ◽  
Goods And Services ◽  
Analysis Methods

Regional and local governments are collectively responsible for maintaining the economic health of their communities and managing traffic congestion, air quality, land use, and other related growth-management issues. Yet global climate change and air quality problems result from the consumption of energy in the production of goods and services that help sustain the economy. Public policy solutions to such problems are often difficult to design because of the interrelated nature of the environment, economic activities, and the infrastructure that links them together. A conceptual framework for thinking about the market behavior of consumers and producers as cost minimizers and offering a new way to design public policies using economic and energy efficiency goals is presented for the use of public-policy makers. Production theory can be used to explain how land, vehicles, infrastructure, and energy are combined to produce transportation goods and services. Heat and waste by-products from the production process act as the precursors of air pollution and other global climate-change problems. If public policies are designed to minimize such problems, policy analysis methods need to include those factors that help determine the cost and benefits of prospective policy alternatives, as well as information on how the net benefits of such policies are redistributed in society. A list of criteria to use in selecting analysis methods for this purpose is suggested.

Preliminary Study on Regional SD Model of Low-Carbon Economy

2012 ◽  
Vol 524-527 ◽  
pp. 2607-2610 ◽  
Author(s):  
Yuan Yuan He
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Policy Making ◽  
Global Climate ◽  
Social Orientation ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Preliminary Study ◽  
The Cost ◽  
Carbon Economy

In response to global climate change, how to develop low-carbon economy in the longer term has become a hot topic in current research. The realization of low-carbon economy is not simply been technical but policy-making methods need to be conducted in-depth research. A social orientation would only display its deviation after being practiced, but we may not have the chance to bear the cost. So the inevitable choice could be that we simulate and predict the possible consequence and analyze possible scenarios before the orientation being developed. In this paper, a regional low-carbon economic system has been developed based on the innovation of existing research on sustainable development.

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