scholarly journals STUDY ON THE ENVIRONMENTAL RESOURCE ACCOUNTING ON THE LOCAL LEVEL: A CASE STUDY OF WATER RESOURCE

1995 ◽  
Vol 23 ◽  
pp. 321-325
Author(s):  
Koji OHIRA ◽  
Takahito UENO ◽  
Takehiro NAKAGUCHI ◽  
Tohru FUTAWATARI ◽  
Hidefumi IMURA
Keyword(s):  
Water Resource ◽  
Local Level ◽  
Environmental Resource ◽  
Resource Accounting

scholarly journals Study on the environmental resource accounting at the local level. (Part II). Energy resource account.

1994 ◽  
Vol 22 ◽  
pp. 400-407
Author(s):  
Hiroki TANIKAWA ◽  
Hidefumi IMURA ◽  
Takehiro NAKAGUCHI ◽  
Ryo FUJIKURA
Keyword(s):  
Local Level ◽  
Energy Resource ◽  
Environmental Resource ◽  
Resource Accounting

scholarly journals System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 671
Author(s):  
Xiaoying Zhou ◽  
Feier Wang ◽  
Kuan Huang ◽  
Huichun Zhang ◽  
Jie Yu ◽  
...  
Keyword(s):  
Resource Management ◽  
System Dynamics ◽  
Water Resource ◽  
Water Allocation ◽  
Water Resource Management ◽  
Water Shortage ◽  
Multiple Objective ◽  
Multiple Objective Optimization ◽  
Model Framework

Predicting and allocating water resources have become important tasks in water resource management. System dynamics and optimal planning models are widely applied to solve individual problems, but are seldom combined in studies. In this work, we developed a framework involving a system dynamics-multiple objective optimization (SD-MOO) model, which integrated the functions of simulation, policy control, and water allocation, and applied it to a case study of water management in Jiaxing, China to demonstrate the modeling. The predicted results of the case study showed that water shortage would not occur at a high-inflow level during 2018–2035 but would appear at mid- and low-inflow levels in 2025 and 2022, respectively. After we made dynamic adjustments to water use efficiency, economic growth, population growth, and water resource utilization, the predicted water shortage rates decreased by approximately 69–70% at the mid- and low-inflow levels in 2025 and 2035 compared to the scenarios without any adjustment strategies. Water allocation schemes obtained from the “prediction + dynamic regulation + optimization” framework were competitive in terms of social, economic and environmental benefits and flexibly satisfied the water demands. The case study demonstrated that the SD-MOO model framework could be an effective tool in achieving sustainable water resource management.

Progressive Law, Activism, and Lawyering in an Age of Preemption

2021 ◽  
Vol 46 (1) ◽  
pp. 252-267
Author(s):  
Rashmi Dyal-Chand
Keyword(s):  
Working Conditions ◽  
Local Level ◽  
Global Supply Chain ◽  
Environmental Movements ◽  
Improve Working ◽  
Detailed History ◽  
History Of ◽  
State And Local ◽  
Core Questions

Preemption is one of the most important legal doctrines for today’s progressives to understand because of its power to constrain progressive policymaking and social movement lawyering at the state and local level. By examining the detailed history of a decades-long campaign by the labor and environmental movements to improve working conditions in an industry at the heart of the global supply chain, Scott L. Cummings’s Blue and Green: The Drive for Justice at America’s Port (2018) provides a case study about the doctrine and impacts of preemption. The study also inspires lawyers and activists alike to reexamine core questions of factual relevance, representation and voice, and precedent.

scholarly journals Decomposition Analysis of the Evolution of the Local Energy System as a Tool to Assess the Effect of Local Actions: Methodology and Example of Malmö, Sweden

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 461
Author(s):  
Isabel Azevedo ◽  
Vítor Leal
Keyword(s):  
Local Level ◽  
Ghg Emissions ◽  
Decomposition Analysis ◽  
Specific Effect ◽  
Energy System ◽  
Local Energy ◽  
Total Change ◽  
The Impact ◽  
Change Mitigation

This paper proposes the use of decomposition analysis to assess the effect of local energy-related actions towards climate change mitigation, and thus improve policy evaluation and planning at the local level. The assessment of the impact of local actions has been a challenge, even from a strictly technical perspective. This happens because the total change observed is the result of multiple factors influencing local energy-related greenhouse gas (GHG) emissions, many of them not even influenced by local authorities. A methodology was developed, based on a recently developed decomposition model, that disaggregates the total observed changes in the local energy system into multiple causes/effects (including local socio-economic evolution, technology evolution, higher-level governance frame and local actions). The proposed methodology, including the quantification of the specific effect associated with local actions, is demonstrated with the case study of the municipality of Malmö (Sweden) in the timeframe between 1990 and 2015.

scholarly journals Characterising Local Knowledge across the Flood Risk Management Cycle: A Case Study of Southern Malawi

2019 ◽  
Vol 11 (6) ◽  
pp. 1681 ◽  
Author(s):  
Robert Šakić Trogrlić ◽  
Grant Wright ◽  
Melanie Duncan ◽  
Marc van den Homberg ◽  
Adebayo Adeloye ◽  
...  
Keyword(s):  
Risk Management ◽  
Local Knowledge ◽  
Flood Risk ◽  
Local Level ◽  
Flood Risk Management ◽  
Group Discussions ◽  
The Social ◽  
Underlying Causes ◽  
Complex Knowledge

People possess a creative set of strategies based on their local knowledge (LK) that allow them to stay in flood-prone areas. Stakeholders involved with local level flood risk management (FRM) often overlook and underutilise this LK. There is thus an increasing need for its identification, documentation and assessment. Based on qualitative research, this paper critically explores the notion of LK in Malawi. Data was collected through 15 focus group discussions, 36 interviews and field observation, and analysed using thematic analysis. Findings indicate that local communities have a complex knowledge system that cuts across different stages of the FRM cycle and forms a component of community resilience. LK is not homogenous within a community, and is highly dependent on the social and political contexts. Access to LK is not equally available to everyone, conditioned by the access to resources and underlying causes of vulnerability that are outside communities’ influence. There are also limits to LK; it is impacted by exogenous processes (e.g., environmental degradation, climate change) that are changing the nature of flooding at local levels, rendering LK, which is based on historical observations, less relevant. It is dynamic and informally triangulated with scientific knowledge brought about by development partners. This paper offers valuable insights for FRM stakeholders as to how to consider LK in their approaches.

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