The power of economic data: A case study from Rwanda

Author(s):  
Louise Wrist Sorensen
Keyword(s):  
2011 ◽  
pp. 262-289
Author(s):  
Marvine Hamner ◽  
Martin A. Negrón ◽  
Doaa Taha ◽  
Salah Brahimi

When e-Government projects fail, the costs to developing countries can be extraordinarily high. Therefore, the importance of understanding the risks, the ability to manage those risks, or when necessary, to minimize the costs, is incredibly important. One way of developing this understanding, of determining how to manage the risks present, is to study real-world examples. This case study explores one developing country’s attempts to implement e-Government. These attempts have taken place over a roughly twenty year period and four different administrations. Millions of dollars have been spent, but an interactive, inter-agency e-Government system remains elusive. The reasons for this are described in this case study along with relevant country political and economic data. The conclusion is that until the political turmoil within this country is resolved, e-Government, and likely many other government initiatives, will continue to be unsuccessful.


2012 ◽  
Vol 88 (03) ◽  
pp. 291-297 ◽  
Author(s):  
Johan Svensson ◽  
Per Sandström ◽  
Camilla Sandström ◽  
Leif Jougda ◽  
Karin Baer

The aim of this paper is to outline current foundations for sustainable landscape management in the Vilhelmina Model Forest, northwest Sweden. A case study revealed that the remaining patches of undisturbed or less disturbed boreal forest ecosystems comprise multiple values and, thus, constitute the basis for landscape planning. By identifying these patches, it is also possible to construct a spatial planning infrastructure for implementing sustainable management and land use. A more comprehensive toolbox needs to be developed, however, including monitoring and inventory schemes for relevant biophysical and socio-economic data, better temporal resolution for cause and effect analyses, and functioning scale-flexible planning and governance instruments.


2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Wei Zhou ◽  
Demei Zhang

This study proposes an improved metabolism grey model [IMGM(1,1)] to predict small samples with a singular datum, which is a common phenomenon in daily economic data. This new model combines the fitting advantage of the conventional GM(1,1)in small samples and the additional advantages of the MGM(1,1)in new real-time data, while overcoming the limitations of both the conventional GM(1,1)and MGM(1,1)when the predicted results are vulnerable at any singular datum. Thus, this model can be classified as an improved grey prediction model. Its improvements are illustrated through a case study of sulfur dioxide emissions in China from 2007 to 2013 with a singular datum in 2011. Some features of this model are presented based on the error analysis in the case study. Results suggest that if action is not taken immediately, sulfur dioxide emissions in 2016 will surpass the standard level required by the Twelfth Five-Year Plan proposed by the China State Council.


The considerations presented in the paper concern the impact of Covid-19 on sales possibilities in the pre-paid system and development perspectives of the researched business entity. As part of its operations, this entity is responsible for the supply of fuel to nearly 4,500 customers conducting business operations throughout Poland. The study was carried out by means of the method of quantitative analysis of economic data. The acquired data constituted a closed set of 518 479 contacts collected as a result of reporting the work of the call center department. The purpose of the paper is to analyze the impact of the Covid-19 pandemic on the possibilities of acquiring new customers by the entity that sells pre-paid fuels and the prospects for its future development. The analyzes allowed showing the relationship, before and after the introduction of socioeconomic restrictions, between the number of sales contacts made and their effectiveness. It was proved that lockdown caused changes in the scope of managing executive operations within the call center of the entity. This, in turn, affected operational and management decisions at both ownership and management levels.


2013 ◽  
Vol 869-870 ◽  
pp. 110-116 ◽  
Author(s):  
Yu Shi ◽  
Xin Qi Zheng ◽  
Yi Bo Sun ◽  
Zong Ren Jia

Gravity Model is commonly used in the study of urban internal migration . Filippo Simini etl improve the Gravity Model, thereby create a more realistic radiation model. Radiation model is validated in the U.S., however, isnt sure to be fit in China. According to the actual situations of our country, the study processes Radiation model parameters and simulates internal migration in Beijing based on the socio-economic data (2005-2010). Results show that the Fengtai District and the Tongzhou District are the two largest migration district in the five years. While the Daxing Districts migration increases year by year. Furthermore, by the contrast of population migration radiation line and GDP, this paper points out that the economics is the main driving force of urban internal migration. Finally, from the perspective of new urban areas construction, development of urban functions expansion areas and population migration balance in Beijing, the corresponding suggestions are put forward for urban planning in Beijing.


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