Does vertical administrative integration of environmental monitoring at the provincial level effectively motivate firms to improve environmental behaviour in China?

2018 ◽  
Vol 86 (3) ◽  
pp. 547-566
Author(s):  
Yong Liu

A few cities and provinces in China have implemented vertical administrative integration of environmental monitoring to the provincial level as a response to severe environmental pollution. This study used an adaptive agent-based simulation model to explore whether the reform might effectively motivate polluting industrial firms to improve their environmental behaviour. Simulation results found that the reform might not effectively motivate the desired improvements in environmental behaviour unless policy-makers improve individual enterprises’ financial capacities, enhance their subsidies, and encourage managers to improve their environmental awareness. These findings could be used in the vertical administrative reform efforts to help achieve the reform’s success. Points for practitioners The vertical reform needs to be sufficiently systematic across its governmental structure because it cannot operate in isolation. It is a part of the country’s complex economic, social, and environmental societal system. Combining administrative restructuring with regulation of micro-agents’ behaviour might increase the reform’s likelihood of success, and financial policies might improve preventive/enthusiastic environmental behaviour. A sophisticated policy approach, such as encouraging preventive/enthusiastic environmental behaviour through business opportunities, might ease behavioural change.

2016 ◽  
Vol 1 (3) ◽  
pp. 3
Author(s):  
Mariam Felani Shaari ◽  
Sabarinah Sh. Ahmad ◽  
Izaham Shah Ismail

Environmental stewardship starts with education. This paper aims to discuss how preschools can be used to nurture environmental stewards among Malaysian children. In summary, elements of preschool physical environments can be manipulated to enhance environmental education while landscape elements such as vegetation and topography can be manipulated to maximize interaction with nature. Effective interaction with nature is the most important factor to ensure environmental awareness. Findings are useful for Malaysian designers and policy makers to ensure that preschool’s physical settings support environmental education to respond to climate change and preserve the planet for future generations.© 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creative commons.org/licenses/by-nc-nd/3.0/).Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.Keywords: Malaysian preschool ; Green preschool design ; Children environmental behaviour ; Environmental education


2021 ◽  
Vol 11 (12) ◽  
pp. 5367
Author(s):  
Amirarsalan Rajabi ◽  
Alexander V. Mantzaris ◽  
Ece C. Mutlu ◽  
Ozlem O. Garibay

Governments, policy makers, and officials around the globe are working to mitigate the effects of the COVID-19 pandemic by making decisions that strive to save the most lives and impose the least economic costs. Making these decisions require comprehensive understanding of the dynamics by which the disease spreads. In traditional epidemiological models, individuals do not adapt their contact behavior during an epidemic, yet adaptive behavior is well documented (i.e., fear-induced social distancing). In this work we revisit Epstein’s “coupled contagion dynamics of fear and disease” model in order to extend and adapt it to explore fear-driven behavioral adaptations and their impact on efforts to combat the COVID-19 pandemic. The inclusion of contact behavior adaptation endows the resulting model with a rich dynamics that under certain conditions reproduce endogenously multiple waves of infection. We show that the model provides an appropriate test bed for different containment strategies such as: testing with contact tracing and travel restrictions. The results show that while both strategies could result in flattening the epidemic curve and a significant reduction of the maximum number of infected individuals; testing should be applied along with tracing previous contacts of the tested individuals to be effective. The results show how the curve is flattened with testing partnered with contact tracing, and the imposition of travel restrictions.


2021 ◽  
Author(s):  
Jeffrey Katan ◽  
Liliana Perez

Abstract. Wildfires are a complex phenomenon emerging from interactions between air, heat, and vegetation, and while they are an important component of many ecosystems’ dynamics, they pose great danger to those ecosystems, and human life and property. Wildfire simulation models are an important research tool that help further our understanding of fire behaviour and can allow experimentation without recourse to live fires. Current fire simulation models fit into two general categories: empirical models and physical models. We present a new modelling approach that uses agent-based modelling to combine the complexity found in physical models with the ease of computation of empirical models. Our model represents the fire front as a set of moving agents that respond to, and interact with, vegetation, wind, and terrain. We calibrate the model using two simulated fires and one real fire, and validate the model against another real fire and the interim behaviour of the real calibration fire. Our model successfully replicates these fires, with a Figure of Merit on par with simulations by the Prometheus simulation model. Our model is a stepping-stone in using agent-based modelling for fire behaviour simulation, as we demonstrate the ability of agent-based modelling to replicate fire behaviour through emergence alone.


Author(s):  
E. Wirth ◽  
G. Szabó ◽  
A. Czinkóczky

The Common Agricultural Policy reform of the EU focuses on three long-term objectives: viable food production, sustainable management of natural resources and climate action with balanced territorial development. To achieve these goals, the EU farming and subsidizing policies (EEA, 2014) support landscape heterogeneity and diversity. Current paper introduces an agent-based method to calculate the potential of landscape diversity. The method tries to catch the nature of heterogeneity using logic and modelling as opposed to the traditional statistical reasoning. The outlined Random Walk Scouting algorithm registers the land cover crossings of the scout agents to a Monte Carlo integral. The potential is proportional with the composition and the configuration (spatial character) of the landscape. Based on the measured points a potential map is derived to give an objective and quantitative basis to the stakeholders (policy makers, farmers).


2014 ◽  
Vol 26 (3) ◽  
pp. 257-264
Author(s):  
Lena Winslott Hiselius

This paper brings to the fore the importance of a holistic approach to attaining a general pro-environmental behavioural change in order to reduce carbon emissions and the need to strive for a spillover of pro-environmental behaviour from one area to another. An adjusted version of the MaxSEM model is developed to capture differences in stages of behavioural change regarding environmental load on entering a Mobility Management campaign and one year after. The analytical tool is applied on two test samples in order to illustrate the tool and possible difficulties and methodological challenges. The test samples consist of participants in Mobility Management campaigns with personal incentives in two cities in Sweden. The application of the tool indicates e.g. that the timing of the survey is important and that there is need to upscale the MM-campaigns, in order to further discuss and analyse the effects of voluntary mobility measures in other domains.


2017 ◽  
Vol 2 (3) ◽  
pp. 376-382
Author(s):  
Yolande G. Kolstee

In this explorative study, an overview of up to date data on plastic waste is given. Different methods of handling the plastic waste problem are described. The focus lies on volunteering.In order to get a picture of the plastic waste problem, a non-exhaustive overview is given of recent scientific and policy reports in paragraph 2. In paragraph 3 the guidelines of the UNEP and ISWA report on Global Waste Management is described. Other sources emphasize the importance of additional measurements. Those are e.g. self-organising volunteer activities in (higher-) education and volunteer cleaning up activities, respectively described in paragraph 4 and 5. In a small sample investigation to the motives for taken part in cleaning-up activities, undertaken in the Netherlands, Europe, two hypotheses were tested ‘cleaning-up is a token activity’ and ‘taking part in cleaning-up activities promotes environmental-friendly behaviour’.In paragraph 6 the method of the inquiry is described and in paragraph 7 we see from there some evidence for an expanding involvement with pro-environmental behaviour as a result from beach cleaning-up activities. In paragraph 8 we conclude that the need for involvement with the plastic waste problem of all and on all levels, is necessary. The contribution of volunteer activities like self-organizing groups in Universities or cleaning-up projects, seems to be an important factor in behavioural change to tackle the problem of plastic waste.


Author(s):  
Stewart Barr ◽  
Gareth Shaw

Behavioural change has become regarded as a key tool for policy makers to promote behavioural change that can reduce carbon emissions from personal travel. Yet academic research has suggested that promoting low carbon travel behaviours, in particular those associated with leisure and tourism practices, is particularly challenging because of the highly valued and conspicuous nature of the consumption involved. Accordingly, traditional top-down approaches to developing behavioural change campaigns have largely been ineffectual in this field and this chapter explores innovative ways to understand and develop behavioural change campaigns that are driven from the bottom upwards. In doing so, we draw on emergent literature from management studies and social marketing to explore how ideas of service dominant logic can be used to engage consumers in developing each stage of a behavioural change campaign. Using data and insights from research conducted in the south-east of the UK, we outline and evaluate the process for co-producing knowledge about low carbon travel and climate change. We illustrate how behavioural change campaign creation can be an engaging, lively and productive process of knowledge and experience sharing. The chapter ends by considering the role that co-production and co-creation can have in developing strategies for low carbon mobility and, more broadly, the ways in which publics understand and react to anthropogenic climate change.


Author(s):  
Rashid A. Waraich ◽  
Gil Georges ◽  
Matthias D. Galus ◽  
Kay W. Axhausen

Battery-electric and plug-in hybrid-electric vehicles are envisioned by many as a way to reduce CO2 traffic emissions, support the integration of renewable electricity generation, and increase energy security. Electric vehicle modeling is an active field of research, especially with regards to assessing the impact of electric vehicles on the electricity network. However, as highlighted in this chapter, there is a lack of capability for detailed electricity demand and supply modeling. One reason for this, as pointed out in this chapter, is that such modeling requires an interdisciplinary approach and a possibility to reuse and integrate existing models. In order to solve this problem, a framework for electric vehicle modeling is presented, which provides strong capabilities for detailed electricity demand modeling. It is built on an agent-based travel demand and traffic simulation. A case study for the city of Zurich is presented, which highlights the capabilities of the framework to uncover possible bottlenecks in the electricity network and detailed fleet simulation for CO2 emission calculations, and thus its power to support policy makers in taking decisions.


Author(s):  
Rashid A. Waraich ◽  
Gil Georges ◽  
Matthias D. Galus ◽  
Kay W. Axhausen

Battery-electric and plug-in hybrid-electric vehicles are envisioned by many as a way to reduce CO2 traffic emissions, support the integration of renewable electricity generation, and increase energy security. Electric vehicle modeling is an active field of research, especially with regards to assessing the impact of electric vehicles on the electricity network. However, as highlighted in this chapter, there is a lack of capability for detailed electricity demand and supply modeling. One reason for this, as pointed out in this chapter, is that such modeling requires an interdisciplinary approach and a possibility to reuse and integrate existing models. In order to solve this problem, a framework for electric vehicle modeling is presented, which provides strong capabilities for detailed electricity demand modeling. It is built on an agent-based travel demand and traffic simulation. A case study for the city of Zurich is presented, which highlights the capabilities of the framework to uncover possible bottlenecks in the electricity network and detailed fleet simulation for CO2 emission calculations, and thus its power to support policy makers in taking decisions.


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