Country Risk Analysis of Bangladesh

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Zahidur Rahman ◽  
Jannatul Ferdous Bristy
Keyword(s):  
Risk Analysis ◽  
Financial Risk ◽  
Political Risk ◽  
Multinational Companies ◽  
Country Risk ◽  
Low Risk ◽  
Primary Data ◽  
Policy Makers ◽  
Financial Factors ◽  
Political Economic

In the endeavor of conquering the worlds consumers, multinational companies face enormous risks. Such risks may arise from different political, economic, and financial factors. These factors are commonly referred to country risk as a whole. Focusing Bangladesh in this regard, objective of this study is to find out the level of country risk in terms of political, economic, and financial riskiness. Analysis of country risk has been done using an internationally recognized methodology named International Country Risk Guide (ICRG). For political risk analysis, primary data has been collected from 20 journalists, bureaucrats and policy makers, business persons, corporate professionals, and academicians with a structured closed-ended questionnaire. Results indicate that Bangladesh is in high risk position in terms of political risk, low risk position in terms of economic risk and very low risk position in terms of financial risk. Compositely, Bangladesh has been found to be a moderately risky country for investment.

scholarly journals PENGARUH STRUKTUR PENGENDALIAN INTERNAL, TATA KELOLA DAN ANALISIS RISIKO KEUANGAN TERHADAP EFEKTIVITAS PENYALURAN KREDIT PADA KOPERASI SIMPAN PINJAM DI KABUPATEN ACEH BESAR

2020 ◽  
Vol 5 (4) ◽  
pp. 551-559
Author(s):  
Suci Hariyati ◽  
Fazli Syam BZ
Keyword(s):  
Risk Analysis ◽  
Internal Control ◽  
Financial Risk ◽  
Sampling Method ◽  
Control Structure ◽  
Quantitative Approach ◽  
Primary Data ◽  
Control Structures ◽  
Purposive Sampling ◽  
Savings And Loan

The purpose of this study was to determine the effect of internal control structures, governance, and financial risk analysis on the effectiveness of credit distribution to savings and loan cooperatives in Aceh Besar District. The data used in this study are primary data using a quantitative approach. This study uses purposive sampling method in determining the sample, and there are 10 cooperatives that become samples that meet the criteria.Based on the research results, it shows that the structure of internal control, governance, and financial risk analysis together has a significant effect on the effectiveness of lending. The magnitude of the influence of internal control, governance and financial risk analysis on the effectiveness of lending was 63.8%. The internal control structure has a significant effect on the effectiveness of lending. Governance does not have a significant effect on the effectiveness of lending. Financial risk analysis has no significant effect on the effectiveness of lending

Political risk analysis

1992 ◽  
Vol 18 (3) ◽  
pp. 167-178 ◽  
Author(s):  
J.M. Chermak
Keyword(s):  
Risk Analysis ◽  
Political Risk

The Entrepreneurial University: Evidence of the Changing Role of Universities in Modern Russia

2014 ◽  
Vol 28 (4) ◽  
pp. 271-280 ◽  
Author(s):  
Dina Williams ◽  
Alexey Kluev
Keyword(s):  
Entrepreneurial University ◽  
Primary Data ◽  
Strategy Development ◽  
Infrastructure Development ◽  
Innovation Development ◽  
Policy Makers ◽  
Managerial Competencies ◽  
New Type ◽  
Changing Role

This paper examines the evolution of the entrepreneurial function of Russia's leading universities: the study is based on a conceptualization of a university's entrepreneurial development pathway developed by the OECD in 2009. The data on entrepreneurship development were collected in 2012 through a survey of technology transfer and innovation development managers of 18 National Research Universities. The primary data were complemented by desktop analysis of the strategy development documents of the universities surveyed. The results suggest that in the period studied, 2008–2012, a new type of university, the entrepreneurial university, has emerged in Russia. However, these entrepreneurial universities are facing serious challenges in the implementation of an entrepreneurial, innovation-oriented mission due to the lack of managerial competencies and inadequate infrastructure development. The paper has significant theoretical and practical implications in shedding light on the development of the entrepreneurial university in Russia, where the process is still in its infancy. The authors depict a trajectory of entrepreneurial transformation in and barriers to this process that, it is argued, university executives and policy makers should take into consideration.

scholarly journals Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Jia Liu ◽  
Shiyong Li ◽  
Xiaoxia Zhu
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Risk Analysis ◽  
Risk Prediction ◽  
Financial Institutions ◽  
Surface Runoff ◽  
Financial Risk ◽  
Supply Chain Finance ◽  
Runoff Model

In recent years, internet development provides new channels and opportunities for small- and middle-sized enterprises’ (SMEs) financing. Supply chain finance is a hot topic in theoretical and practical circles. Financial institutions transform materialized capital flows into online data under big data scenario, which provides networked, precise, and computerized financial services for SMEs in the supply chain. By drawing on the risk management theory in economics and the distributed hydrological model in hydrology, this paper presents a supply chain financial risk prediction method under big data. First, we build a “hydrological database” used for the risk analysis of supply chain financing under big data. Second, we construct the risk identification models of “water circle model,” “surface runoff model,” and “underground runoff model” and carry on the risk prediction from the overall level (water circle). Finally, we launch the supply chain financial risk analysis from breadth level (surface runoff) and depth level (underground runoff); moreover, we integrate the analysis results and make financial decisions. The results can enrich the research on risk management of supply chain finance and provide feasible and effective risk prediction methods and suggestions for financial institutions.

scholarly journals Research on Risk Measurement of Supply Chain Emergencies in International Capacity Cooperation

2019 ◽  
Vol 11 (19) ◽  
pp. 5184
Author(s):  
Bo-Rui Yan ◽  
Qian-Li Dong ◽  
Qian Li
Keyword(s):  
Supply Chain ◽  
Financial Risk ◽  
Fuzzy Ahp ◽  
Risk Index ◽  
Risk Measurement ◽  
Country Risk ◽  
Analytic Hierarchy ◽  
Analytic Hierarchy Process Method ◽  
Measurement Index System ◽  
Hierarchy Process

International capacity cooperation is easily affected by the interweaving of its internal and external environment. As the risk accumulation exceeds the threshold, a supply chain crisis and even emergency will occur and serious losses will be caused. Regarding multinational operation and international capacity cooperation, 208 cases were summarized to identify risk types and high-incidence areas, and a risk measurement index system was established. A Fuzzy AHP (Analytic Hierarchy Process) method was used to evaluate the importance of each risk index. It was found that country risk was the main cause of supply chain emergencies in international capacity cooperation. Construction, water and electricity supply, mining and manufacturing were major areas of emergencies. In international capacity cooperation, country risk and cross-cultural risk were more important in external risks, while in internal risk, financial risk and decision risk were more important.

scholarly journals Empirical Assessment of Good Governance in the Public Sector of Malaysia

2019 ◽  
Author(s):  
Maizatul Akmar Khalid ◽  
Md. Mahmudul Alam ◽  
Jamaliah Said
Keyword(s):  
Public Sector ◽  
Good Governance ◽  
Primary Data ◽  
Policy Makers ◽  
The Public ◽  
Governance Systems ◽  
Governance Practices ◽  
The Status ◽  
Questionnaire Respondent ◽  
Service Groups

To improve the trust of citizens and delivery of services, employing good governance principles in the public sector is very crucial. Despite efforts to improve service delivery, criticisms and complains toward public services remain evident. This study aims to assess the status of good governance practices in the public sector of Malaysia. Primary data were collected from the responses of 109 department heads under 24 federal ministries to a survey questionnaire. Respondent perception of good governance practices was measured using a seven-point Likert scale and analyzed by descriptive statistics and path measurement modeling. Standard diagnostic tests were also conducted to check the reliability of the data and model. Results indicated that nine factors were significant in the measurement of good governance practices. However, very few people in the public sector of Malaysia practice fraud control, which is at the lowest intensity. Among the service groups, the engineer group practiced good governance at the highest level, whereas the health service group practiced good governance at the lowest level. Therefore, still there are scopes available to improve good governance systems to become more reliable and efficient public sector in Malaysia. Findings of the study will help policy makers improve the efficiency of the public sector of Malaysia and other countries.

scholarly journals Malaria Trigram: improving the visualization of recurrence data for malaria elimination

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Cleber Matos de Morais ◽  
Kayo Henrique de Carvalho Monteiro ◽  
Jose Diego Brito-Sousa ◽  
Wuelton Marcelo Monteiro ◽  
Vanderson Souza Sampaio ◽  
...  
Keyword(s):  
Malaria Elimination ◽  
Brazilian Amazon ◽  
Amazon Region ◽  
Primary Data ◽  
Malaria Surveillance ◽  
Historical Representation ◽  
Policy Makers ◽  
Individual Level ◽  
Public Health Professionals ◽  
Brazilian Amazon Region

Abstract Background Although considerable success in reducing the incidence of malaria has been achieved in Brazil in recent years, an increase in the proportion of cases caused by the harder-to-eliminate Plasmodium vivax parasite can be noted. Recurrences in P. vivax malaria cases are due to new mosquito-bite infections, drug resistance or especially from relapses arising from hypnozoites. As such, new innovative surveillance strategies are needed. The aim of this study was to develop an infographic visualization tool to improve individual-level malaria surveillance focused on malaria elimination in the Brazilian Amazon. Methods Action Research methodology was employed to deal with the complex malaria surveillance problem in the Amazon region. Iterative cycles were used, totalling four cycles with a formal validation of an operational version of the Malaria Trigram tool at the end of the process. Further probabilistic data linkage was carried out so that information on the same patients could be linked, allowing for follow-up analysis since the official system was not planned in such way that includes this purpose. Results An infographic user interface was developed for the Malaria Trigram that incorporates all the visual and descriptive power of the Trigram concept. It is a multidimensional and interactive historical representation of malaria cases per patient over time and provides visual input to decision-makers on recurrences of malaria. Conclusions The Malaria Trigram is aimed to help public health professionals and policy makers to recognise and analyse different types of patterns in malaria events, including recurrences and reinfections, based on the current Brazilian health surveillance system, the SIVEP-Malária system, with no additional primary data collection or change in the current process. By using the Malaria Trigram, it is possible to plan and coordinate interventions for malaria elimination that are integrated with other parallel actions in the Brazilian Amazon region, such as vector control management, effective drug and vaccine deployment strategies.

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