Dynamic neodymium stocks and flows analysis in China

2021 ◽  
Vol 174 ◽  
pp. 105752
Author(s):  
Tianli Yao ◽  
Yong Geng ◽  
Joseph Sarkis ◽  
Shijiang Xiao ◽  
Ziyan Gao
Keyword(s):  
1978 ◽  
Vol 10 (7) ◽  
pp. 853-866 ◽  
Author(s):  
G Hyman ◽  
D J Palmer

This paper presents the results of a time-series analysis of short-term changes in the conditions prevailing in regional labour markets. A set of alternative indicators of changes in these conditions are evaluated for each of the standard regions by use of quarterly data for a period that includes the rapid changes in the economy associated with the ‘Barber Boom’. Leading indicators of changes in labour demand are contrasted with lagging indicators and the findings for different regions compared. The results of the analysis show that in general the numbers of vacant jobs and the rates at which the jobs are being filled provide leading indicators of changes in the region's level of unemployment and of changes in the duration of unemployment in the region, and that there is no feedback from unemployment to change the demand for labour in the region. In consequence it would be justified to claim that changes in regional unemployment and its duration are caused by changes in the demand for labour in the region.


Author(s):  
Matthew Kuperus Heun ◽  
Michael Carbajales-Dale ◽  
Becky Roselius Haney

Author(s):  
Matthew Kuperus Heun ◽  
Michael Carbajales-Dale ◽  
Becky Roselius Haney

JOM ◽  
2002 ◽  
Vol 54 (10) ◽  
pp. 21-26 ◽  
Author(s):  
R. J. Lifset ◽  
R. B. Gordon ◽  
T. E. Graedel ◽  
S. Spatari ◽  
M. Bertram
Keyword(s):  

2010 ◽  
Vol 2 (2) ◽  
pp. 38-51 ◽  
Author(s):  
Marc Halbrügge

Keep it simple - A case study of model development in the context of the Dynamic Stocks and Flows (DSF) taskThis paper describes the creation of a cognitive model submitted to the ‘Dynamic Stocks and Flows’ (DSF) modeling challenge. This challenge aims at comparing computational cognitive models for human behavior during an open ended control task. Participants in the modeling competition were provided with a simulation environment and training data for benchmarking their models while the actual specification of the competition task was withheld. To meet this challenge, the cognitive model described here was designed and optimized for generalizability. Only two simple assumptions about human problem solving were used to explain the empirical findings of the training data. In-depth analysis of the data set prior to the development of the model led to the dismissal of correlations or other parametric statistics as goodness-of-fit indicators. A new statistical measurement based on rank orders and sequence matching techniques is being proposed instead. This measurement, when being applied to the human sample, also identifies clusters of subjects that use different strategies for the task. The acceptability of the fits achieved by the model is verified using permutation tests.


2021 ◽  
Vol 343 ◽  
pp. 07007
Author(s):  
Ibrian Caramidaru ◽  
Andreea Ionica

Nonprofit organizations are typically seen as institutional settings that contribute to finding grassroots solutions to various social problems. But in their own turn, these entities exhibit by design manyfold frailties given by factors such as - precarious funding sustainability, balancing the multiple and, at times, divergent interests of stakeholders, finding a suitable manner to assess managerial performance. The aim of this paper consist in employing a system dynamics approach to modelling the managerial behaviour of nonprofit entities delivering their output through project networks. The system dynamics concepts of causal loops, stocks and flows dependencies are used to depict the complex relationships between projects, funding sources and social outcomes. This approach leads to identifying the systemic threatening to nonprofit sustainability and the dynamic nature of managerial decisions in the context of the interactions between nonprofit organizations, their beneficiaries and funding agencies.


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