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Journal articles on the topic 'International monetary fund – Ghana'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Dzidza, Peter Mawunyo, Ian Jackson, Ametefee K. Normanyo, and Michael Walsh. "The Effects of Poverty Reduction Strategies on Artisanal Fishing in Ghana: The Case of Keta Municipality." Journal of Sustainable Development 10, no. 3 (May 31, 2017): 68. http://dx.doi.org/10.5539/jsd.v10n3p68.

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This paper assesses the level of poverty in Ghana after three decades of successive implementation of numerous poverty reduction strategies including Structural Adjustment Program (SAP) by various governments of Ghana. The Keta municipality in the Volta region, where artisanal fishing thrives, was chosen as a representative sample of the whole country. The authors identified eleven artisanal fishing communities in the selected area using systematic sampling. Data were collected on household consumption patterns. This process was used to determine the profile of poverty using the latest upper poverty line of Ghana and the Greer and Thorbecke (1984) poverty formula. Research findings show that the various poverty alleviation methods implemented over three decades by the Government of Ghana, the World Bank, and the International Monetary Fund (IMF) significantly failed as they have not produced any meaningful effect on poverty reduction in the sample area. Finally, this paper offers further suggestions regarding how this poverty gap may be bridged using alternative methods.

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2

Agbloyor, Elikplimi Komla, Frank Kwakutse Ametefe, Emmanuel Sarpong-Kumankoma, and Vera Fiador. "Investment appraisal: Akwaaba university hostel projectInvestment appraisal: Akwaaba university hostel project." Emerald Emerging Markets Case Studies 11, no. 2 (August 31, 2021): 1–38. http://dx.doi.org/10.1108/eemcs-01-2020-0025.

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Learning outcomes After completing this case, students should be able to: identify and compute relevant cash flows in relation to a real estate project and compute the net present value (NPV). Determine the target return or cost of capital (by looking at historical economic indicators). Design or formulate a sensitivity analysis to determine the drivers of the project value. Evaluate real estate and other investments taking qualitative and quantitative factors into consideration. Demonstrate the computation of a break-even rate to determine the minimum or maximum revenue or cost required for a project to be viable. Case overview/synopsis This case study is about the Golden Beak Securities Pension Fund that wanted to invest in a Hostel Project in one of the universities in Ghana. Most universities in Ghana faced an acute shortage of on-campus accommodation. Also, the Government of Ghana, in 2017, implemented a programme to make Senior High School in Ghana free. This was expected to increase the number of students who will enter the existing universities. The project was therefore seen as strategic, as it would help ease the pressure of on-campus accommodation while providing diversification for the pension fund. As part of the investment committee’s (IC) quest to improve the skill set available to it, especially in relation to real estate investments, Esi Abebrese was appointed as one of the members of the IC of GSB. Her main task was to collect information on key macroeconomic variables, as well as granular information on project costs and revenues and conduct investment appraisal. Esi was scheduled to make a presentation to the IC on the 15th of October 2019 following which the Committee will debate and make a decision. The project had an estimated cost of GH¢52m with a total number of 3,424 student beds and ancillary facilities. Undertaking the project required moving funds from investments in money market securities with one of the banks in Ghana. The investments in the money market securities were currently yielding about 16% a year. The determination of the cost of capital was critical and Esi and Nana eventually settled on a long-term weighted average cost of capital of 14%. This was after considering the trend of inflation, monetary policy rates, treasury rates, stock market returns and a report on returns on commercial real estate properties in Ghana. An exit capitalisation rate of 20% was also estimated for the purposes of determining the value of the property at the end of the investment horizon. Esi also obtained estimates of cost and revenue for the project and proceeded to carry out a feasibility analysis on the project. This consisted of an NPV analysis and sensitivity analysis on various factors to determine the drivers of the project value. The IC had to take several factors (both quantitative and qualitative) into consideration before making a decision. Esi believed that these factors included the diversification of the fund’s assets, the return on investment, potential oversupply of hostel accommodation, the social responsibility of providing student accommodation and the impact of any prolonged shutdown of the university. Complexity academic level Masters/advanced undergraduate. Supplementary materials Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes. Subject code CSS 1: Accounting and Finance.

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3

Yiranbon, Ethel, Lu Lin Zhou, Henry Asante Antwi, and Numir Nisar. "The Impact of Privatisation of Healthcare Equipment and Technology SOEs on Productivity in Africa." International Journal of Engineering Research in Africa 26 (October 2016): 195–205. http://dx.doi.org/10.4028/www.scientific.net/jera.26.195.

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Upon the attainment of independence many African countries emerged with a new spirit of entrepreneurial governance and domestic industrialization. However with time, most of the state owned enterprises (SOEs) set up have been privatized largely because of mismanagement, huge deficits and operational inefficiencies created by many factors. In all material moments, the objective of divesture of SOEs was to stimulate efficiency, productivity and relieve the state of the huge financial burden they bring. Our study examines the methods of privatization of healthcare technology and equipment SOEs in Africa and their impact on post-divestiture productivity based on cases from Ghana, Nigeria, Tanzania and Kenya.We simultaneously collect and model privatization data from International Monetary Fund (IMF) and the World Bank relating to Ghana, Nigeria, Tanzania and Kenya. These were data submitted to the IMF and World Bank as part of the measures to implement the different forms of economic recovery and structural adjustment programs in the respective countries. Our empirical strategy follows the broader literature in estimating reduced form equations for firm performance as a function of ownership, while trying to account for potential problems of heterogeneity (observed and unobserved) and simultaneity bias. We note the insider/employee shareholding accounted for only 23.6 percent of privatization of healthcare equipments and technology manufacturing enterprises on average while mass privatization program accounts for 18.2 percent of the privatization mode. We note that each of these methods yield positive post divestiture labour productivity. However privatization of healthcare equipment and technology manufacturing enterprises by block sale to outside investors generated the highest form of labour productivity.

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4

Tsamenyi, Mathew, Trevor Hopper, and Shahzad Uddin. "Changing control and accounting in an African gold mine." Journal of Accounting & Organizational Change 13, no. 2 (June 5, 2017): 282–308. http://dx.doi.org/10.1108/jaoc-03-2014-0017.

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Purpose The paper aims to examine accounting changes in the Ashanti Gold Corporation (AGC) in Ghana over 120 years from pre-colonialism to recent times and whether the framework of management accounting transformations in Hopper et al. (2009) is applicable. Design/methodology/approach Mixed data sources are used, namely, interviews, some observations of practices, historical documentation, company reports and research papers and theses. The results are categorised according to the periods and contextual factors in the Hopper et al. framework to test whether it matches the data collected. Findings Despotic controls with minimal management accounting but stewardship accounting to the head office in London prevailed under colonialism. Upon independence state, capitalist policies descended into politicised state capitalism. Under nationalisation, the performance of mines deteriorated, and accounting became decoupled from operations. In the early 1980s, fiscal crises forced Ghana’s government to turn to the World Bank and International Monetary Fund for loans. This period marked a gradual transformation of AGC into a foreign multinational, organised along divisional lines and currently exercises despotic control through supply chain management that renders labour precarious and is neglectful of corporate social accounting issues. Research limitations/implications The work challenges neo-classical economic prescriptions and analyses of accounting in developed countries by indicating its neglect of the interests of other stakeholders, especially labour and civil society. Accounting is important for development but the article infers other forms may better serve the public interest. Originality/value The paper tests the Hopper et al. framework with respect to a large private multinational in the commodity sector over an extended period, which differs from the case studies drawn on originally.

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5

Officer, Lawrence H. "The International Monetary Fund." Proceedings of the Academy of Political Science 37, no. 4 (1990): 28. http://dx.doi.org/10.2307/1173770.

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6

SCHUMACHER, E. F., and T. BALOCH. "AN INTERNATIONAL MONETARY FUND." Bulletin of the Oxford University Institute of Economics & Statistics 6, no. 6 (May 1, 2009): 81–93. http://dx.doi.org/10.1111/j.1468-0084.1944.mp6006001.x.

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7

Lee, Simon. "The International Monetary Fund." New Political Economy 7, no. 2 (July 2002): 283–98. http://dx.doi.org/10.1080/13563460220138880.

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8

Buckley, Ross P. "Reforming the International Monetary Fund." Global Policy 3, no. 1 (December 14, 2011): 102–7. http://dx.doi.org/10.1111/j.1758-5899.2011.00105.x.

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9

Peña Neira, Sergio. "25. International Monetary Fund (IMF)." Yearbook of International Environmental Law 21, no. 1 (January 1, 2010): 637–38. http://dx.doi.org/10.1093/yiel/yvs048.

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10

Argyropoulou, Venetia. "25. International Monetary Fund (IMF)." Yearbook of International Environmental Law 29 (January 1, 2018): 512–14. http://dx.doi.org/10.1093/yiel/yvz043.

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11

Hoover, Steven. "International Monetary Fund Publications2009112International Monetary Fund Publications. Washington, DC: International Monetary Fund Last visited December 2008. Gratis URL: www.imf.org/external/pubind.htm." Reference Reviews 23, no. 3 (March 27, 2009): 20–21. http://dx.doi.org/10.1108/09504120910945146.

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12

Marková, Jana. "International Monetary Fund - Steps to Reform." Český finanční a účetní časopis 2012, no. 4 (December 1, 2012): 71–86. http://dx.doi.org/10.18267/j.cfuc.8.

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13

Miller, Rory. "Peru and the International Monetary Fund." International Affairs 63, no. 2 (1987): 363. http://dx.doi.org/10.2307/3025523.

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14

Stuckler, David, Sanjay Basu, and Martin McKee. "International Monetary Fund and Aid Displacement." International Journal of Health Services 41, no. 1 (January 2011): 67–76. http://dx.doi.org/10.2190/hs.41.1.e.

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15

Ugarteche, Oscar, and Thomas Scheetz. "Peru and the International Monetary Fund." Bulletin of Latin American Research 6, no. 1 (1987): 125. http://dx.doi.org/10.2307/3338377.

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16

Salazar-Carrillo, Jorge, and Thomas Scheetz. "Peru and the International Monetary Fund." Hispanic American Historical Review 67, no. 3 (August 1987): 540. http://dx.doi.org/10.2307/2515617.

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17

Galushkin, Alexander, Anatoly Olimpiev, Dmitry Pashentsev, and Vladislav Ponamorenko. "International Monetary Fund in historical perspective." OOO "Zhurnal "Voprosy Istorii" 2019, no. 12_3 (December 1, 2019): 49–53. http://dx.doi.org/10.31166/voprosyistorii201912statyi55.

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18

Ayee, Joseph R. A. "Swaziland and the International Monetary Fund." Verfassung in Recht und Übersee 24, no. 1 (1991): 52–75. http://dx.doi.org/10.5771/0506-7286-1991-1-52.

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19

Sinha, Manisha. "Re-imagining the International Monetary Fund." South Asian Survey 21, no. 1-2 (March 2014): 194–210. http://dx.doi.org/10.1177/0971523115592523.

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20

Medhora, Rohinton. "Bypasses to the International Monetary Fund." Transnational Legal Theory 10, no. 3-4 (September 19, 2019): 318–32. http://dx.doi.org/10.1080/20414005.2019.1666634.

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21

Salazar-Carrillo, Jorge. "Peru and the International Monetary Fund." Hispanic American Historical Review 67, no. 3 (August 1, 1987): 540–41. http://dx.doi.org/10.1215/00182168-67.3.540.

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22

Chang, Michele. "Debating Capital: The International Monetary Fund." International Studies Review 13, no. 2 (June 2011): 328–30. http://dx.doi.org/10.1111/j.1468-2486.2011.01033.x.

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23

Morrison, Andrew R. "Peru and the International Monetary Fund." Journal of Development Economics 26, no. 2 (August 1987): 426–28. http://dx.doi.org/10.1016/0304-3878(87)90042-3.

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24

Thow, Anne Marie, Charles Apprey, Janelle Winters, Darryl Stellmach, Robyn Alders, Linda Nana Esi Aduku, Georgina Mulcahy, and Reginald Annan. "Understanding the Impact of Historical Policy Legacies on Nutrition Policy Space: Economic Policy Agendas and Current Food Policy Paradigms in Ghana." International Journal of Health Policy and Management, November 9, 2020. http://dx.doi.org/10.34172/ijhpm.2020.203.

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Background: The global food system is not delivering affordable, healthy, diverse diets, which are needed to address malnutrition in all its forms for sustainable development. This will require policy change across the economic sectors that govern food systems, including agriculture, trade, finance, commerce and industry – a goal that has been beset by political challenges. These sectors have been strongly influenced by entrenched policy agendas and paradigms supported by influential global actors such as the World Bank and International Monetary Fund (IMF). Methods: This study draws on the concept of path dependency to examine how historical economic policy agendas and paradigms have influenced current food and nutrition policy and politics in Ghana. Qualitative data were collected through interviews with 29 relevant policy actors, and documentary data were collected from current policies, academic and grey literature, historical budget statements and World Bank Group Archives (1950-present). Results: Despite increased political priority for nutrition in Ghana, its integration into food policy remains limited. Food policy agendas are strongly focused on production, employment and economic returns, and existing market-based incentives do not support a nutrition-sensitive food supply. This policy focus appears to be rooted in a liberal economic approach to food policy arising from structural adjustment in the 1980s and trade liberalization in the 1990s, combined with historical experience of ‘failure’ of food policy intervention and an entrenched narrowly economic conception of food security. Conclusion: This study suggests that attention to policy paradigms, in addition to specific points of policy change, will be essential for improving the outcomes of food systems for nutrition. An historical perspective can provide food and health policy-makers with insights to foster the revisioning of food policy to address multiple national policy objectives, including nutrition.

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25

"International Monetary Fund." Choice Reviews Online 41, no. 12 (August 1, 2004): 41Sup—0424–41Sup—0424. http://dx.doi.org/10.5860/choice.41sup-0424.

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26

Albu, Gina. "International Monetary Fund." SSRN Electronic Journal, 2011. http://dx.doi.org/10.2139/ssrn.1769907.

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27

"International Monetary Fund." Choice Reviews Online 40, no. 06 (February 1, 2003): 40–3527. http://dx.doi.org/10.5860/choice.40-3527.

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28

"International Monetary Fund." Choice Reviews Online 42, no. 12 (August 1, 2005): 42Sup—0472–42Sup—0472. http://dx.doi.org/10.5860/choice.42sup-0472.

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29

"International Monetary Fund." Choice Reviews Online 40, no. 12 (August 1, 2003): 40Sup—0424–40Sup—0424. http://dx.doi.org/10.5860/choice.40sup-0424.

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30

"INTERNATIONAL MONETARY FUND." Africa Research Bulletin: Economic, Financial and Technical Series 57, no. 2 (April 2020). http://dx.doi.org/10.1111/j.1467-6346.2020.09394.x.

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31

"International Monetary Fund." Africa Research Bulletin: Economic, Financial and Technical Series 50, no. 8 (October 2013): 20096A—20096B. http://dx.doi.org/10.1111/j.1467-6346.2013.05351.x.

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32

"International Monetary Fund." Choice Reviews Online 43, no. 12 (August 1, 2006): 43Sup—0529–43Sup—0529. http://dx.doi.org/10.5860/choice.43sup-0529.

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33

"The International Monetary Fund." Choice Reviews Online 30, no. 11 (July 1, 1993): 30–5955. http://dx.doi.org/10.5860/choice.30-5955.

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34

"Africa-International Monetary Fund." Africa Research Bulletin: Economic, Financial and Technical Series 46, no. 12 (February 2010): 18526A—18526C. http://dx.doi.org/10.1111/j.1467-6346.2010.03033.x.

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35

"Africa-International Monetary Fund." Africa Research Bulletin: Economic, Financial and Technical Series 47, no. 1 (March 2010): 18558A—18558C. http://dx.doi.org/10.1111/j.1467-6346.2010.03084.x.

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36

"Analysis of Banks Profitability: Domestic and Foreign Comparison." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 17 (October 20, 2020). http://dx.doi.org/10.37394/23207.2020.17.93.

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Attempt at analyzing banks profitability informed this study. For sound and robust reviews of end report, the study took at comparing commercial banks across countries in Africa with emphasis on Nigeria, Ghana and South Africa owing to presumed position they occupy in the continent. To achieve its aims and from data provided by World Bank Group – International Monetary Funds, the study mirrored commercial banks profitability with total income (TI) hence, the dependent variable. The independent variables were proxied by total loan (TL) and customer deposits (CD). Data sets covers a ten (10) year period across cross –sections. Panel Autoregressive Distributed Lag (ARDL) regression of pooled ordinary least square, fixed effect model (FE) and random effect (REM) models, with Hausman Test of acceptance were specified. Similarly, Panel descriptive statistics and Panel Unit Rootstest were also tested and confirmed. Analysis was done with the aid of E-views statistical software v9. Results from the Panel ARDL finds Fixed Effect (FE) Model appropriate having taking into considerations the heterogeneity observations often not obseverded in the pooled ordinary least square and the randomnization effect in RE. By implication, findings indicate that total loan is statistically insignificant acorss sections showing a prob. 0.0714 with inverse correlation of 0.0169 while, customer deposit is statistically significant with a prob 0.000 and positive coefficient at 0.0480 as judged by the Hauman Test of 0.01 percent. However, the overall coefficient of determination shows high variability of close to one percent, while the model fitness is confirmed fit by F-statistic at 0.000. The study suggested conclusion is the provision of sound risk management via collaborative-business growth model for optimally banks benefit in the region.

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37

"International Monetary Fund – In Brief." Africa Research Bulletin: Economic, Financial and Technical Series 56, no. 10 (December 2019). http://dx.doi.org/10.1111/j.1467-6346.2019.09210.x.

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38

"International Monetary Fund – In Brief." Africa Research Bulletin: Economic, Financial and Technical Series 56, no. 11 (January 2020). http://dx.doi.org/10.1111/j.1467-6346.2019.09257.x.

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39

"International Monetary Fund – In Brief." Africa Research Bulletin: Economic, Financial and Technical Series 56, no. 12 (February 2020). http://dx.doi.org/10.1111/j.1467-6346.2020.09307.x.

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40

"International Monetary Fund – In Brief." Africa Research Bulletin: Economic, Financial and Technical Series 57, no. 1 (March 2020). http://dx.doi.org/10.1111/j.1467-6346.2020.09349.x.

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41

"INTERNATIONAL MONETARY FUND: Emergency Funding." Africa Research Bulletin: Economic, Financial and Technical Series 57, no. 4 (June 2020). http://dx.doi.org/10.1111/j.1467-6346.2020.09490.x.

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42

"INTERNATIONAL MONETARY FUND: Spring Meetings." Africa Research Bulletin: Economic, Financial and Technical Series 47, no. 4 (June 4, 2010): 18668C—18670A. http://dx.doi.org/10.1111/j.1467-6346.2010.03256.x.

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43

"INTERNATIONAL MONETARY FUND: Review Missions." Africa Research Bulletin: Economic, Financial and Technical Series 48, no. 3 (May 2011): 19056A—19058A. http://dx.doi.org/10.1111/j.1467-6346.2011.03839.x.

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44

"INTERNATIONAL MONETARY FUND: Mission Reviews." Africa Research Bulletin: Economic, Financial and Technical Series 48, no. 9 (October 24, 2011): 19271C—19272C. http://dx.doi.org/10.1111/j.1467-6346.2011.04153.x.

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45

"INTERNATIONAL MONETARY FUND: Mission Reviews." Africa Research Bulletin: Economic, Financial and Technical Series 48, no. 11 (December 19, 2011): 19344B—19345A. http://dx.doi.org/10.1111/j.1467-6346.2011.04258.x.

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46

"INTERNATIONAL MONETARY FUND: Economic Reviews." Africa Research Bulletin: Economic, Financial and Technical Series 49, no. 4 (June 2012): 19522A—19522C. http://dx.doi.org/10.1111/j.1467-6346.2012.04513.x.

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47

"INTERNATIONAL MONETARY FUND (IMF): Algeria." Africa Research Bulletin: Economic, Financial and Technical Series 50, no. 3 (May 2013): 19916C—19920B. http://dx.doi.org/10.1111/j.1467-6346.2013.05091.x.

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48

"INTERNATIONAL MONETARY FUND: Country Reviews." Africa Research Bulletin: Economic, Financial and Technical Series 45, no. 2 (April 2008): 17743B—17744A. http://dx.doi.org/10.1111/j.1467-6346.2008.01527.x.

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49

"INTERNATIONAL MONETARY FUND: Country Reviews." Africa Research Bulletin: Economic, Financial and Technical Series 46, no. 3 (May 2009): 18202B—18204A. http://dx.doi.org/10.1111/j.1467-6346.2009.02278.x.

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50

"International Monetary Fund: Country Information." Choice Reviews Online 45, no. 02 (October 1, 2007): 45–0968. http://dx.doi.org/10.5860/choice.45-0968.

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