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<issue_export_package generated_at="2026-06-14T03:06:57+00:00">
  <journal>
    <title>International Journal of Business and Economic Development</title>
    <acronym>IJBED</acronym>
    <issn_print>2051-848X</issn_print>
    <issn_online>2051-8498</issn_online>
    <doi_prefix>https://doi.org/10.24052/IJBED/</doi_prefix>
  </journal>
  <issue>
    <id>24</id>
    <volume>Volume 09</volume>
    <name>Issue 02</name>
    <published_month>2021-11-01</published_month>
  </issue>
  <articles>
    <article>
      <id>194</id>
      <title>Financial impact of using EUR call options to hedge accounts receivables</title>
      <url>https://ijbed.org/details&amp;cid=194</url>
      <published_date>2021-11-29</published_date>
      <abstract>International business has grown rapidly in recent years as companies seek to take advantage of expanding supply chain opportunities. As companies enter into contracts to take advantage of engineering, production, and cost reduction capabilities of the global supply chain, they may be creating a foreign currency exchange rate risk. The purpose of this research was to determine the EUR/USD exchange rate risk within a relatively short time frame such as in 60-day accounts receivable and if using currency options to hedge this risk would be financially beneficial on a transactional basis. The quantitative study examined the 60-day EUR/USD exchange rate fluctuation and the use of currency call options to hedge the risk associated with EUR/USD currency fluctuations.  The researcher analyzed 13 years of historical EUR/USD currency data and 10 years of actual EUR call options premiums for this research paper.  The researcher concluded that the variability of the EUR/USD over 60-days does pose financial risk to a company.  The study also found that using currency call options to hedge this 60-day exchange rate risk resulted in an overall transactional financial loss as compared to no hedging.  However, research studies have shown that the use of hedging instruments to smooth financial results may result in lower overall financing costs which could offset the hedging transactional costs.  This study did not address the benefits of the use of hedging to smooth financial results or obtain other related financial benefits.  The researcher recommends that a firm should recognize the exchange rate risks it may be establishing within 60-day EUR or USD payable contracts and develop an appropriate hedging strategy. </abstract>
      <references>Aljarrah, M.A., Famoye, F., Lee, C., (2019). A new generalized normal distribution: Properties and applications. Commun. Stat. - Theory Methods 48, 4474–4491. https://doi.org/10.1080/03610926.2018.1483509 Ardoin, E., Rodriguez, A., (2017). Negative interest rates and a possible rift in interest rate parity and arbitrage. Int. J. Bus. Account. Finance 11, 48–62. Baranga, L.P., (2016). Study on the new financial products traded on the FOREX market. Bull. Transilv. Univ. Brasov Ser. V Econ. Sci. 9, 179–188. Bayas, A., (2018). Currency Risk Management: Predicting the EUR/USD Exchange Rate. Major Qualif. Proj. Years. Bessler, W., Conlon, T., Huan, X., (2019). Does corporate hedging enhance shareholder value? A meta-analysis. Int. Rev. Financ. Anal. 61, 222–232. https://doi.org/10.1016/j.irfa.2018.11.010 Bloom, R., Cenker, W.J., (2008). Derivatives and hedging: Accounting vs. taxation. J. Account. 206, 54–58. Broll, U., Wong, K., (2015). Trade and cross hedging exchange rate risk. Int. Econ. Econ. Policy 12, 509–520. https://doi.org/10.1007/s10368-014-0291-x Buen Sin Low, Shaojun Zhang, (2005). The volatility risk premium embedded in currency options. J. Financ. Quant. Anal. 40, 803–832. Campello, M., Lin, C., Ma, Y., Zou, H., (2011). The real and financial implications of corporate hedging. J. Finance 66, 1615–1647. https://doi.org/10.1111/j.1540-6261.2011.01683.x Chen, S.-N., Hsu, P.-P., &amp; Liang, K.-Y. (2019). Option pricing and hedging in different cyclical structures: A two-dimensional Markov-modulated model. The European Journal of Finance, 25(8), 762–779. https://doi.org/10.1080/1351847X.2018.1538895 Cevik, S., Harris, R.D.F., Yilmaz, F., (2017). Soft power and exchange rate volatility. Int. Finance 20, 271–288. https://doi.org/10.1111/infi.12117 Charvin, V., Fullwood, J., James, J., (2014). The fair value of FX options. Do you get what you pay for? Quant. Finance 14, 15–23. https://doi.org/10.1080/14697688.2013.787493 Costantini, M., Cuaresma, J.C., Hlouskova, J., (2016). Forecasting errors, directional accuracy and profitability of currency trading: The case of EUR/USD exchange rate. J. Forecast. 35, 652–668. https://doi.org/10.1002/for.2398 Crowder, W.J., (2014). Real exchange rate persistence in US dollar PPP systems. Int. Finance 17, 209–240. https://doi.org/10.1111/infi.12048 Doval, E., (2016). Is outsourcing a strategic tool to enhance the competitive advantage? Rev. Gen. Manag. 23, 78–87. Edens, C., (2010). A holistic view of corporate foreign exchange exposure management. J. Corp. Treas. Manag. 3, 341–347. Engel, C., (2016). Exchange rates, interest rates, and the risk premium. Am. Econ. Rev. 106, 436–474. Frishberg, M., Gobble, M.M., (2013). Considering exchange rate risk in outsourcing. Res. Technol. Manag. 56, 5–7. https://doi.org/10.5437/08956308X5605001 Galeshchuk, S., Mukherjee, S., (2017). Deep networks for predicting direction of change in foreign exchange rates. Intell. Syst. Account. Finance Manag. 24, 100–110. https://doi.org/10.1002/isaf.1404 Gylling, M., Heikkilä, J., Jussila, K., Saarinen, M., (2015). Making decisions on offshore outsourcing and backshoring: A case study in the bicycle industry. Int. J. Prod. Econ. 162, 92–100. https://doi.org/10.1016/j.ijpe.2015.01.006 Issing, O., (2018). America’s dollar power politics. Int. Econ. 32, 46–69. Jankensgård, H., Hoffmann, K., &amp; Rahmat, D. (2014). Derivative usage, risk disclosure, and firm value. Journal of Accounting &amp; Finance (2158-3625), 14(5), 159–174. Kroes, J.R., Manikas, A.S., (2014). Cash flow management and manufacturing firm financial performance: A longitudinal perspective. Int. J. Prod. Econ. 148, 37–50. https://doi.org/10.1016/j.ijpe.2013.11.008 Kumar, V.R., Joshi, G., (2014). Testing efficient market hypothesis in the foreign exchange market. CLEAR Int. J. Res. Commer. Manag. 5, 4–16. Ljung, G.M., Ledolter, J., Abraham, B., (2014). George Box’s contributions to time series analysis and forecasting. Appl. Stoch. Models Bus. Ind. 30, 25–35. https://doi.org/10.1002/asmb.2016 Magee, S., (2013). The effect of foreign currency hedging on the probability of financial distress. Account. Finance 53, 1107–1127. https://doi.org/10.1111/j.1467-629X.2012.00489.x Manzur, M., Hoque, A., Poitras, G., (2010). Currency option pricing and realized volatility. Bank. Finance Rev. 2, 73–85. McMillan, C.J., Overall, J.S., (2017). Crossing the chasm and over the abyss: Perspectives on organizational failure. Acad. Manag. Perspect. 31, 271–287. https://doi.org/10.5465/amp.2017.0018 Mishler, M.D., (2017). Currency turmoil, price, and profit in global markets. J. Account. 223, 1–6. Moosa, I.A., (2004). Is there a need for hedging exposure to foreign exchange risk? Appl. Financ. Econ. 14, 279–283. https://doi.org/10.1080/0960310042000201219 Parlapiano, F., Alexeev, V., Dungey, M., (2017). Exchange rate risk exposure and the value of European firms. Eur. J. Finance 23, 111–129. https://doi.org/10.1080/1351847X.2015.1072570 Pérez‐González, F., Yun, H., (2013). Risk management and firm value: Evidence from weather derivatives. J. Finance 68, 2143–2176. https://doi.org/10.1111/jofi.12061 Pilbeam, K., Langeland, K.N., (2015). Forecasting exchange rate volatility: GARCH models versus implied volatility forecasts. Int. Econ. Econ. Policy 12, 127–142. https://doi.org/10.1007/s10368-014-0289-4 Saundage, D., Cybulski, J.L., Dharmasena, L., Keller, S., (2016). Teaching data analysis with interactive visual narratives. J. Inf. Syst. Educ. 27, 233–247. Spreckelsen, C., Mettenheim, H.-J., Breitner, M.H., (2014). Real-time pricing and hedging of options on currency futures with artificial neural networks. J. Forecast. 33, 419–432. https://doi.org/10.1002/for.2311 Stulz, R., (2013). How companies can use hedging to create shareholder value. J. Appl. Corp. Finance 25, 21–29. https://doi.org/10.1111/jacf.12038 Treanor, S.D., Rogers, D.A., Carter, D.A., Simkins, B.J., (2014). Exposure, hedging, and value: new evidence from the U.S. airline industry. Int. Rev. Financ. Anal. 34, 200–211. https://doi.org/10.1016/j.irfa.2014.04.002 VanderLinden, D., (2014). Is hedging foreign currency bids with options desirable? An applied analysis for small firms. J. Appl. Financ. Res. 1, 9–19. Veestraeten, D., (2013). Currency option pricing in a credible exchange rate target zone. Appl. Financ. Econ. 23, 951–962. https://doi.org/10.1080/09603107.2013.778945 Weltman, D., Eakin, M., (2018). Basic guidelines for common business statistics metrics. Bus. Educ. Innov. J. 10, 21–26. Witkowska, J., (2017). Implications of the transatlantic trade and investment partnership (TTIP) for investment flows between the European Union and the USA. Comp. Econ. Res. 20, 25–39. https://doi.org/10.1515/cer-2017-0018 Wong, K.P., (2017). Cross-hedging ambiguous exchange rate risk. J. Futur Mark. 37, 132–147. https://doi.org/10.1002/fut.21793</references>
      <pdf_url>https://ijbed.org/cdn/article_file/2021-11-29-20-33-47-PM.pdf</pdf_url>
      <authors>
        <author>Kenneth B. McEwan</author>
      </authors>
      <keywords>
        <keyword>Call options</keyword>
        <keyword>EUR/USD</keyword>
        <keyword>Exchange rates</keyword>
        <keyword>hedging</keyword>
        <keyword>options</keyword>
        <keyword>payables</keyword>
      </keywords>
      <metrics>
        <views>4761</views>
        <downloads>91</downloads>
        <citations>0</citations>
      </metrics>
      <declarations>
        <funding></funding>
        <conflict_of_interest></conflict_of_interest>
        <data_availability></data_availability>
        <author_contributions></author_contributions>
      </declarations>
      <supplementary_materials/>
    </article>
    <article>
      <id>195</id>
      <title>Determinants of household over-indebtedness in South Africa</title>
      <url>https://ijbed.org/details&amp;cid=195</url>
      <published_date>2021-11-29</published_date>
      <abstract>The proportion of household debt to disposable income is high in South Africa, signifying over-indebtedness which reduces the welfare of households. High debt leads to low savings, negatively impacting economic growth. This paper presents the determinants of household debt distress in South Africa and comes up with recommendations on how to manage household debt.  The objectives are achieved through systematic literature review. Findings suggest that households are over-indebted because of several reasons. They lack necessary finance management skills and proper protection from predatory practices by lenders. Household indebtedness is also caused by the rising cost of living which leads to low household disposable income and savings, high interest rates, misfortunes and adverse trigger events and income inequalities.  Education, age and being a recipient of a social grant all have positive and negative impacts on household indebtedness. Findings also suggest that female-headed households, renting households, large households, urban based households, households with a mortgage and households where the head is not working, is sick or disabled are more likely to be over-indebted. A framework is presented with recommendations on how household debt can be effectively managed in South Africa. Upskilling in finance management can help improve the way households manage their finances. Moneylending institutions should avoid predatory lending and disclose vital information affecting household borrowing decisions. A downward review of interest rates on debt is necessary with a balance between profitability and sustainability of loan repayments.  Consumption insurance on loans is recommended to cushion debt distressed households.</abstract>
      <references>Allen, F., Babus, A. &amp; Carletti, E. (2009). Financial Crises: Theory and Evidence, Annual Review of Financial Economics, Vol. 1:97-116. First published online as a Review in https://doi.org/10.1146/annurev.financial.050808.114321. Avery, R. B., Calem, P. S. &amp; G. B. Canner (2004). Consumer credit scoring: Do situational circumstances matter? Journal of Banking &amp; Finance, 28(4): 835-856. Barba, A., &amp; Pivetti, M. (2009). Rising Household Debt: Its Causes and Macroeconomic Implications - A Long Period Analysis. Cambridge Journal of Economics, 33, 113-137. http://dx.doi.org/10.1093/cje/ben030. Bertola, G., Disney, R., &amp; Grant, C. (2006). The Economics of Consumer Credit Demand and Supply. In G. Bertola, R. Disney, &amp; C. Grant (Eds.), The Economics of Consumer Credit (pp. 1-26). Cambridge, Massachusetts: MIT Press. Bhutta, N., Dokko, J. &amp; Shan. H. (2010). The depth of negative equity and mortgage default decisions. Board of Governors of the Federal Reserve System (US), New York. Biyase, M. &amp; Fisher, B. (2017). Determinants of Access to Formal Credit by the Poor Households. Studia Universitatis Babes-Bolyai. Economica.62.10.1515/subboec-2017-0004. Bryan, M., Taylor, M. &amp; Veliziotis, M. (2010). Over-indebtedness in Great Britain: An Analysis Using the Wealth and Assets Survey and Household Annual Debtors Survey, London: University of Sussex. Cecchetti, S. G., Mohanty, M. S., &amp; Zampolli, F. (2011). The Real Effects of Debt. In Bank for International Settlements. Working Paper No. 352. Centre for Social Science Research. (2016). University of Cape Town http://cssr.uct.ac.za/pub/wp/368/ ISBN: 978-1-77011-355-8. Collins, D. 2008. Debt and household finance: Evidence from the Financial Diaries. Development Southern Africa, 25(4), 469-479. Cuesta, M.B. &amp; Budria, S. (2015). The Effects of Over-Indebtedness on Individual Health. 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(1988). Financing vs. forgiving a debt overhang: Some analytical notes. Working paper No. 2486, National Bureau of Economic Research. Business Tech, (2018). https://www.businesslive.co.za/bt/money/2019-01-28 fewer-credit-agreements-yet-sas-consumers-still-drowning-in-debt. Accessed 05 April 2021. Kumhof, M., Lebarz, C., Rancière, R., Richter, A.W. and Throckmorton, N.A. (2012) Income Inequality and Current Account Imbalances, IMF Working Paper, Research Department  https://www.imf.org/external/pubs/ft/wp/2012/wp1208.pdf.  Mallett, R., Hagen-Zanker, J., Slater, R. &amp; Duvendack, M. (2012) The benefits and challenges of using systematic reviews in international development research. Journal of Development Effectiveness, 4:3, 445-455, DOI:10.1080/19439342.2012.711342. Meng, X., Hoang, N. T. &amp; Siriwardana, M. (2013). The determinants of Australian household debt: A macro level study. Journal of Asian Economics. Elsevier, vol. 29(C), pages 80-90. 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      <pdf_url>https://ijbed.org/cdn/article_file/2021-11-29-20-37-15-PM.pdf</pdf_url>
      <authors>
        <author>Roseline Tapuwa Karambakuwa</author>
        <author>Ronney Ncwadi</author>
      </authors>
      <keywords>
        <keyword>South Africa</keyword>
        <keyword>household</keyword>
        <keyword>debt</keyword>
        <keyword>income</keyword>
        <keyword>consumption</keyword>
      </keywords>
      <metrics>
        <views>13742</views>
        <downloads>147</downloads>
        <citations>1</citations>
      </metrics>
      <declarations>
        <funding></funding>
        <conflict_of_interest></conflict_of_interest>
        <data_availability></data_availability>
        <author_contributions></author_contributions>
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      <supplementary_materials/>
    </article>
    <article>
      <id>196</id>
      <title>A theoretical and analytical framework to the inquiry of sustainable land management practices</title>
      <url>https://ijbed.org/details&amp;cid=196</url>
      <published_date>2021-11-29</published_date>
      <abstract>The purpose of this paper is to provide a theoretical and analytical framework by explaining the sustainable livelihoods framework and farming system model from a sustainable point of view. The author studied over 200 publications downloaded using the electronic database search of EBSCO through UNISA online library in June 2018. Keyword combinations of ‘land’, ‘tenure’ and ‘sustainable use’ were used to search for peer-reviewed journal articles published in English from January 1980 to May 2018. The article examines most relevant literature to consolidate the necessary theoretical and analytical foundation in analysing individual and group motivations towards sustainable land management practices. The literature review affirmed that a comprehensive theoretical and analytical framework is scant to empirically analyze the determinants of sustainable land management practices. To partially fill this knowledge gap, the paper provided a generic analytical framework that gives insight not only on pre-decisional processes, but also on post-decisional processes of continued and sustained use of conservation technologies. The analytical framework is developed by combining the sustainable livelihoods framework with the farming system model. It is concluded that the economic theory of property rights may not be adequate as a model to guide land tenure studies and policy. It is recommended that a holistic approach and comprehensive analytical framework is vital for research and development endeavours to ensure sustainable land management practices.</abstract>
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London and Basingstoke: Macmillan Ellis, F &amp; Allison, E. (2004). Livelihood Diversification and Natural Resource Access. FAO, WP No.9. Rome: Access to Natural Resources Sub-Program, Livelihood Diversification and Enterprise Development Sub-Program, Overseas Development Group, University of Anglia Ellis, F. (2000). Rural Livelihoods and Diversity in Developing Countries. Oxford: Oxford University Press. Feder, G, Onchan, T &amp; Chalamwong, Y. (1988). Land policies and farm performance in Thailand’s forest reserve areas. Economic Development and Cultural Change 36(3):483-501. Fernandes, L &amp; Woodhouse, PJ.(2008). Family farm sustainability in southern Brazil: an application of agri-environmental indicators. Ecological Economics 66(2-3):243-257. Fitzpatrick, D. (2006). Evolution and Chaos in Property Rights Systems: The Third World Tragedy of Contested Access. The Yale Law Journal 115(5):996-1048. Gebremedhin, B &amp; Swinton, S. (2003). Investment in soil conservation in northern Ethiopia: the role of land tenure security and public programs. Agricultural Economics 29(1):69-84. Heltberg, R. (2002). Property rights and natural resource management in developing countries. Journal of Economic Surveys 16(2):189-214. Kabubo-Mariara, J. (2007). Land conservation and tenure security in Kenya: Boserup’s hypothesis revisited. Ecological Economics 64:25-35. Leeuwis, C &amp; van den Ban, A. (2004). Communication for Rural Innovation: Rethinking agricultural extension. Third Edition. India: Blackwell publishing. Marenya, PP &amp; Barrett, CB. (2007). Household level determinants of adoption of improved natural resource management practices among smallholder farmers in western Kenya. Food Policy 32:515-536. Mekonnen, A. (2009). Tenure security, resource endowments, and tree growing evidence from the Amhara region of Ethiopia. Land Economics 85(2):292-307. Messer, N &amp; Townsley, P. (2003). Local Institutions and Livelihoods: Guidelines for Analysis. [O]. Available from :&lt; http://www.livelihoods.org/info/guidance_sheets_pdfs/cover.pdf&gt; [ Accessed on 25 January 2007]. North, DC. (1991). Institutions. Journal of Economics Perspectives 5(1):97-112. Pasteur, K. (2001). Tools for Sustainable Livelihoods: Policy Analysis. Brighton: Institute of Development Studies. Pender, J &amp; Gebremedhin, B. (2007). Determinants of agricultural and land management practices and impacts on crop production and household income in the highlands of Tigray, Ethiopia. Journal of African Economies 17(3):395-450. Pender, JL &amp; Kerr, JM. (1998). Determinants of farmers' indigenous soil and water conservation investments in semi-arid India. Agricultural Economics 19(1-2):113-125. Perrt, SR &amp; Stevens, JB. (2006). Socio-economic reasons for low adoption of water conservation technologies by smallholder farmers in Southern Africa: a review of the literature. Development Southern Africa 23(4):461- 476. Place, F. (2009). Land tenure and agricultural productivity in Africa: a comparative analysis of the economics literature and recent policy strategy and reforms. World Development 37(8):1326-1336. Platteau, JP. (1996). The evolutionary theory of land rights as applied to sub-Saharan Africa: a critical assessment. Development and Change 27(1):29-86. Platteau, JP. (2000). Land tenure, economic growth and poverty in sub-Saharan Africa, in Evolving land rights, policy and tenure in Africa, edited by C Toulmin &amp; J Quan. London: Department for International Development, International Institute for Environment and development and Natural Resources Institute. Reardon, T &amp; Vosti, SA. (1995). Links between rural poverty and the environment in developing countries: asset categories and investment poverty. World development 23(9): 1495-1506. Scherr, SJ. (2000). A downward Spiral? Research Evidence on the relationship between poverty and natural resource degradation. Food Policy 25(4):479-498. Scoones, I. (1998). Sustainable Rural Livelihoods: A Framework for Analysis, IDS Working Paper no. 72. Shankland, A. 2000. Analysing Policy for Sustainable Livelihoods, IDS Research Report 49. Brighton: IDS. Shiferaw, B &amp; Holden, S.(1998). Resource degradation and adoption of land conservation technologies in the Ethiopian Highlands: A case study in Andit Tid, North Shewa. Agricultural Economics 18:233-247. Shiferaw, B &amp; Holden, S. (1999). Soil erosion and smallholders’ conservation decisions in the highlands of Ethiopia. World Development 27(4):739-752. Smith, RE. (2004). Land tenure, fixed investment, and farm productivity: evidence from Zambia’s southern province. World Development 32(10):1641-1661. Swift, J &amp; Hamilton, K. (2001). Household Food and Livelihood Security, in Food Security in Sub-Saharan Africa, edited by S Devereux &amp; S Maxwell. London: ITDG publishing. Thomson, AM. (2000). Sustainable Livelihoods Approaches at the Policy Level. Paper prepared for FAO e-conference and forum on operationalizing participatory ways of applying sustainable livelihoods approaches. Rome: FAO. Van de Flier, E &amp; Braun, AR. (2002). Conceptualizing integrative, farmer participatory research for sustainable agriculture: From opportunities to impact. Agriculture and Human Values 19:25–38. Vilei, S. (2011). Local perceptions of sustainability of farming systems on Leyte, Philippines: divergences and congruencies between different stakeholders. International Journal of Sustainable Development and World Ecology first edited (i first):1-13. Wannasai, N &amp; Shrestha, RP. (2007). Determinants of rural land-use change in Prasae watershed area of Thailand. Asia-Pacific Journal of Rural Development 18(2):47-60.</references>
      <pdf_url>https://ijbed.org/cdn/article_file/2021-11-29-20-39-13-PM.pdf</pdf_url>
      <authors>
        <author>Ermias Ashagrie</author>
      </authors>
      <keywords>
        <keyword>Driving forces</keyword>
        <keyword>Farming system</keyword>
        <keyword>Land degradation</keyword>
        <keyword>Livelihoods</keyword>
        <keyword>Sustainable use of farmlands</keyword>
      </keywords>
      <metrics>
        <views>5382</views>
        <downloads>58</downloads>
        <citations>1</citations>
      </metrics>
      <declarations>
        <funding></funding>
        <conflict_of_interest></conflict_of_interest>
        <data_availability></data_availability>
        <author_contributions></author_contributions>
      </declarations>
      <supplementary_materials/>
    </article>
    <article>
      <id>197</id>
      <title>Addressing the detrimental impacts of COVID-19 on women in the workforce: Where do we go from here?</title>
      <url>https://ijbed.org/details&amp;cid=197</url>
      <published_date>2021-11-29</published_date>
      <abstract>This paper analyzes national and global statistical data and reports to investigate the status of women in the workforce subsequent to the 2020-2021 COVID-19 pandemic in the United States, identify issues, and propose a path forward. The disproportionate adverse effects of the pandemic included higher unemployment rates among women and greater job losses within female dominated industries and women owned businesses as compared with men, and health challenges heightened by pandemic-related stresses. Further, the responsibility for compensating for the sudden removal of accessible childcare services which followed school and daycare disruptions and closings nationwide, overwhelmingly fell to women—whether they were single or married. Some analysts report that the pandemic served to reassert the unequal division of labor in the household between men and women. Researchers have posited that the pandemic’s impact will retard women’s progress in the workforce for decades if not generations. Strategies for counteracting these effects must entail targeted measures focused on promoting women’s re-entry in the workforce including: the normalization of flexible work schedules to foster a more balanced home and work-life for women, increased family leave for mothers and fathers, more quality and affordable childcare as well as more onsite childcare facilities to meet employees’ needs.</abstract>
      <references>  Adams-Prassl, A., Boneva, T., Golin, M. and Rauh, C., 2020. Inequality in the Impact of the Coronavirus Shock: Evidence from Real Time Surveys. Journal of Public Economics, 189, p.104245. Alliance for Strong Families and Communities, 2021. American Rescue Plan: Summary for Human Services Organizations. [online] Available at: https://alliance1.org/web/news/2021/March/american-rescue-plan-summary-human-services-organizations.aspx?utm_term=american%20rescue%20plan&amp;utm_campaign=Alliance+Resources/Articles&amp;utm_source=adwords&amp;utm_medium=ppc&amp;hsa_acc=8924800388&amp;hsa_cam=9768459789&amp;hsa_grp=119761602859&amp;hsa_ad=507490031420&amp;hsa_src=g&amp;hsa_tgt=kwd-1149050676705&amp;hsa_kw=american%20rescue%20plan&amp;hsa_mt=b&amp;hsa_net=adwords&amp;hsa_ver=3&amp;gclid=CjwKCAjwos-HBhB3EiwAe4xM917TL9jT4PVdOt3Fk6aXlI3tx-q8ZaPA8bEUheTVirfoR-bKq06mqRoCLCgQAvD_BwE [Accessed 19 July 2021]. Alon, T., Doepke, M., Olmstead-Rumsey, J. and Tertilt, M., 2020. The Impact of COVID-19 on Gender Equality (No. w26947). National Bureau of Economic Research. Alon, T., Coskun, S., Doepke, M., Koll, D., and Tertilt, M., 2021. From Mancession to Shecession: Women’s Employment in Regular and Pandemic Recessions. Unpublished manuscript, Northwestern University. American Association of University Women, 2021. Fast Facts: The Gender Pay Gap. [online] Available at: https://www.aauw.org/resources/article/fast-facts-pay-gap/ [Accessed on 3 August 2021]. Andrasfay, T. and Goldman, N., 2021. Reductions in 2020 US Life Expectancy Due to COVID-19 and the Disproportionate Impact on the Black and Latino Populations. Proceedings of the National Academy of Sciences, 118(5), e2014746118. [online] Available at:  https://www.pnas.org/content/118/5/e2014746118 [Accessed on 4 October 2021]. Bambra, C., Lynch, J. and Smith, K., 2021. The Unequal Pandemic COVID-19 and Health Inequalities. Bristol University Press, Policy Press. Centers for Disease Control and Prevention, 2021. COVID Data Tracker. COVID-19 Vaccination in the United States. [online] Available at: https://covid.cdc.gov/covid-data-tracker/#vaccinations_vacc-total-admin-rate-total [Accessed on 2 October 2021]. Coskun, S., and Husnu D., 2020. The Emergence of Procyclical Fer-tility: The Role of Gender Differences in Employment Risk. CRC TR 224 Discussion Paper Series No. 142. DataUSA, 2019. Childcare Workers. [online] Available at: https://datausa.io/profile/soc/childcare-workers#employment [Accessed on 6 June 2021]. Deloitte, 2021. Deloitte Global Report: Pandemic Takes Heavy Toll on Working Women; Majority Are Significantly Less Optimistic About Their Career Prospects Today. [online] Available at: https://www2.deloitte.com/global/en/pages/about-deloitte/press-releases/deloitte-global-report-pandemic-takes-heavy-toll-on-working-women-majority-are-significantly-less-optimistic-about-their-career-prospects-today.html [Accessed on 11 April 2021]. Doepke, M., and Tertilt, M., 2016. Families in Macroeconomics. In: Handbook of Macroeconomics, Vol. 2. North Holland. Krubiner, C., O’Donnell, M., Kaufman, J., and Bourgault, S., 2021.  Center for Global Development. Addressing the COVID-19 Crisis’s Indirect Health Impacts for Women and Girls. [online] Available at: https://www.jstor.org/stable/resrep30892?seq=1#metadata_info_tab_contents [Accessed on 7 August 2021]. Kurani, N., McDermott, D., and Shanosky, N., 2020. How Does the Quality of the U.S. Healthcare System Compare to Other Countries? [online] Available at: https://www.healthsystemtracker.org/chart-collection/quality-u-s-healthcare-system-compare-countries/ [Accessed  on 27 June 2021]. Lyttelton, T., Zang, E. and Musick, K., 2020. Gender Differences in Telecommuting and Implications for Inequality at Home and Work. [online] Available at: SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3645561 [Accessed on 4 October 2021]. O’Donnell, M., Buvinic, M., Bourgault, S., and Webster, B., 2021. The Gendered Dimensions of Social Protection in the COVID-19 Context. Center for Global Development. [online] Available at: https://www.cgdev.org/publication/gendered-dimensions-social-protection-covid-19-context [Accessed on 7 July 2021].  O'Reilly, A., 2021. Certainly Not an Equal-Opportunity Pandemic: COVID-19 and Its Impact on Mothers’ Carework, Health, and Employment. In: Mothers, Mothering, and COVID-19: Dispatches from the Pandemic. Demeter Press. O'Reilly, A. and Green, F. J., eds., 2021. Certainly Not an Equal-Opportunity Pandemic: COVID-19 and Its Impact on Mothers’ Carework, Health, and Employment. In: Mothers, Mothering, and COVID-19: Dispatches from the Pandemic. Demeter Press. Press Statement by White House Statements and Releases, 2021. Fact Sheet. The American Families Plan. [online] Available at: https://www.whitehouse.gov/briefing-room/statements-releases/2021/04/28/fact-sheet-the-american-families-plan/ [Accessed on 28 July 2021]. Press Statement by White House Statements and Releases, 2021. Fact Sheet. The American Jobs Plan Will Support Women’s Employment. [online] Available at: https://www.whitehouse.gov/briefing-room/statements-releases/2021/04/21/fact-sheet-the-american-jobs-plan-will-support-womens-employment/ [Accessed on 28 July 2021]. Schmitzberger, F. F., Scott, K. W., Nham, W., Mathews, K., Schulson, L., Fouche, S., Berri, N., Shehab, A., Gupta, A., Salhi, R. A., 2021. Identifying Strategies to Boost COVID-19 Vaccine Acceptance in the United States. Rand Corporation Research Reports. [online] Available at: https://doi.org/10.7249/RRA1446-1 [Accessed on 4 October 2021]. Trafton, A, 2009. Engineering a Cure. MIT News. [online] Available at: https://news.mit.edu/2009/profile-griffith-1203 [Accessed on 16 July 2021]. U.S. Bureau of Labor Statistics, 2019. Women in the Labor Force: A Databook. [online] Available at: https://www.bls.gov/opub/reports/womens-databook/2019/home.htm [Accessed on 12 April 2021]. U.S. Bureau of Labor Statistics, 2020. Employment Situation Summary News Release. [online] Available at: https://www.bls.gov/news.release/archives/empsit_05082020.htm [Accessed on 12 April 2021]. U.S. Bureau of Labor Statistics, 2021. Employment Situation Summary. [online] Available at:  https://www.bls.gov/news.release/empsit.nr0.htm [Access on 15 April 2021]. U.S. Bureau of Labor Statistics, 2021. Women in the Labor Force: A Databook. [online] Available at: https://www.bls.gov/opub/reports/womens-databook/2020/home.htm [Accessed on 15 April 2021]. U.S. Census Bureau, 2020. America’s Families and Living Arrangements: 2020. [online] Available at: https://www.census.gov/data/tables/2020/demo/families/cps-2020.html Tabfg5. [Accessed on 6 September 2021]. U.S. Census Bureau, 2020. Decennial Census, 1960, and Current Population Survey, Annual Social and Economic Supplements, 1968 to 2020. [online] Available at: https://www.census.gov/content/dam/Census/library/visualizations/time-series/demo/families-and-households/ch-1.pdf [Accessed on 4 July 2021]. US Department of Health and Human Services, Centers for Disease Control and Prevention. Characteristics of Health Care Personnel with COVID-19—United States, February 12—April 9, 2020, MMWR Morb Mortal Weekly Report 2020. (Atlanta, GA: CDC, 2020), 477-481. [online] Available at: https://www.cdc.gov/mmwr/volumes/69/wr/mm6915e6.htm?s_cid=mm6915e6_w  [Accessed on 25 August 2021] World Bank Open Data, 2020. Population, Female (% of Total Population). [online] Available at:  https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS [Accessed on 13 June 2021]. World Economic Forum, 2021. Global Gender Gap Report 2021. Insight Report March 2021. [online] Available at: https://www.weforum.org/reports/ab6795a1-960c-42b2-b3d5-587eccda6023 [Accessed on 22 April 2021]. World Health Organization, 2021. Coronavirus Disease (COVID-19) Weekly Epidemiological Update and Weekly Operational Update. [online] Available at: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports [Accessed on 27 April 2021]. Zelle, M., 2021. Biden Doubles U.S. Global Donation of COVID-19 Shots. Associated Press. [online] Available at: https://apnews.com/article/united-nations-general-assembly-joe-biden-pandemics-business-united-nations-e7c09c1f896d83c0ed80513082787bd3 [Accessed on 2 October 2021].  </references>
      <pdf_url>https://ijbed.org/cdn/article_file/2022-01-07-20-26-36-PM.pdf</pdf_url>
      <authors>
        <author>Kareen Odate</author>
        <author>Rene S. Parmar</author>
      </authors>
      <keywords>
        <keyword>COVID-19 impact</keyword>
        <keyword>economics</keyword>
        <keyword>health</keyword>
        <keyword>women</keyword>
        <keyword>workforce</keyword>
      </keywords>
      <metrics>
        <views>7034</views>
        <downloads>73</downloads>
        <citations>0</citations>
      </metrics>
      <declarations>
        <funding></funding>
        <conflict_of_interest></conflict_of_interest>
        <data_availability></data_availability>
        <author_contributions></author_contributions>
      </declarations>
      <supplementary_materials/>
    </article>
    <article>
      <id>198</id>
      <title>The external sector shocks and macroeconomics in Nigeria</title>
      <url>https://ijbed.org/details&amp;cid=198</url>
      <published_date>2021-11-29</published_date>
      <abstract>The study examines the relationship between some key macroeconomic indicators in Nigeria and the external sector. During the period under review, it was discovered that crude oil had a lion’s share of Nigeria’s export earnings and the international demand for the country’s non-oil exports was unimpressive due to the development of synthetic alternatives, discriminative tariffs and new entrants in the global market (Central Bank of Nigeria, 2008). Consequently, most of the research on this topic hinged their framework on shocks from the oil sector (see Lukman and Olomola, 2016). In contemporary times, however, the contribution of crude oil to Nigeria’s gross domestic product has been dwindling. As at 2019, the entire oil and gas industry contributed less than 10% of Nigeria’s gross domestic product (Central Bank of Nigeria (CBN), 2019). There was the need to examine the external sector from a more comprehensive approach and framework. Therefore, this study evaluated the impact of shocks from Nigeria’s terms of trade and major foreign stock market index on macroeconomics in Nigeria. The methodology adopted for this study is the vector autoregressive technique, impulse response function and the error variance decomposition method. The findings show that the gross domestic product, price level and interest rate respond strongly in the short run (1-2 years), gradually fluctuates in the medium term (3-5 years) and become stable in the long run (6-10 years) due to shocks from the Dow Jones index and Nigeria’s terms of trade. Thus, intervention policies should focus on mitigating the impact of external sector shocks on macroeconomics in the short and medium terms when the impact is enormous.</abstract>
      <references>Central Bank of Nigeria (1979). Statistical Bulletin. Central Bank of Nigeria (2006). Annual Report and Statement of Account. Central Bank of Nigeria (2008). Annual Report and Statement of Account. Central Bank of Nigeria (2010). Annual Report and Statement of Account. Central Bank of Nigeria (2018). Annual Report and Statement of Account. Central Bank of Nigeria (2019). Statistical Bulletin. Deaton, A. and Miller, R. (1996). International Commodity Prices, Macroeconomics Performance and Politics in Sub Saharan Africa. Journal of African Economies, 5(3): 99-191. Hoffmaister, A and Roldos, J. (1997). Are Business Cycle different in Asia and Latin America? IMF Working Paper, No. 9, International Monetary Fund. Jhingan, M. L. (2010). Macroeconomic Theory. 12th Edition, Vrinda Publication Limited, New Delhi, India. Lukman, O. and Olomola, P. (2016). External Sector and Macroeconomics Responses in Nigeria: A Global VAR Approach, Cogent Economics and Finance, 4:1, 1239317. Otto, G. (2003). Terms of Trade Shocks and the Balance of Trade: There is Harberger-Laursen- Meltzer Effect. Journal of International Money and Finance, Volume 22 (2): 155-184. Pesaran, M. and Pesaran B. (1997). Working with Microfit 4.0. Oxford University Press, Oxford, New York. Sim, C. (1980). Macroeconomics and Reality. Econometrica, 48, s1-48. World Bank (2019). Database.</references>
      <pdf_url>https://ijbed.org/cdn/article_file/2021-11-29-20-42-40-PM.pdf</pdf_url>
      <authors>
        <author>Ohiomoje Iyemifokhae Abubakar</author>
      </authors>
      <keywords>
        <keyword>Macroeconomics</keyword>
        <keyword>Terms of Trade</keyword>
        <keyword>Foreign Stock Market Index</keyword>
        <keyword>Vector Autoregressive Technique</keyword>
        <keyword>Error Variance Decomposition</keyword>
      </keywords>
      <metrics>
        <views>3917</views>
        <downloads>51</downloads>
        <citations>0</citations>
      </metrics>
      <declarations>
        <funding></funding>
        <conflict_of_interest></conflict_of_interest>
        <data_availability></data_availability>
        <author_contributions></author_contributions>
      </declarations>
      <supplementary_materials/>
    </article>
    <article>
      <id>199</id>
      <title>Financial and tax risks modeling of a multinational company</title>
      <url>https://ijbed.org/details&amp;cid=199</url>
      <published_date>2022-01-07</published_date>
      <abstract>This study sought to find out the management practices employed by multinational companies in controlling the financial and tax risks they are exposed to. It also assessed the management practices used by multinational companies in the recent financial crisis. This study is relevant since multinational companies located in developing countries operate under different business environments. Hence, multinational companies in developing countries should control financial risk by using management practices conducive for the environment they operate in. Chevron Corporation was used as a case study. Data were obtained from its annual financial statement published on their website covering the period of year 2009-2018. Based on the result of the Stepwise regression analysis we identified the significant predictors in conditions of the economic environment to estimate the corporate prosperity and profitability measure of Chevron Corp.</abstract>
      <references>Chobot, M, 1994. Approaches to risk measurement in strategic and financial management. Volume 42, pp. 40-54. Demidenko, E. &amp; McNutt, P., 2010. The ethics of enterprise risk management as a key component of corporate governance.. International Journal of Social Economics, 37(10), pp. 802-815. Dufey et al., 1983. The case for corporate management of foreign exchange risk.. Financial Management, pp. 54-62. Giddy, Ian H., 1983. The foreign exchange option as a hedging tool. Midland Corporate Finance Journal, Volume 3, pp. 32-42. Li, M and Miu, P, 2010. A hybrid bankruptcy prediction model with dynamic loadings on accounting-ratio-based and market-based information: A binary quantile regression approach. Journal of Emprical Finance, Volume 17, pp. 818-833. Vicig, P., 2008. Financial risk measurement with imprecise probabilities. Int. J. Approx. Reason., Volume 49, pp. 159-174. Alaka, H.A. et al., 2018. Systematic review of bankruptcy prediction models: Towards a framework for tool selection. Volume 94, pp. 164-184. Ben Javeur, S., 2017. Bankruptcy prediction using Partial Least Squares Logistic Regression. Volume 36, pp. 197-202. Blasques, F et al., 2016. Spillover dynamics for systemic risk measurement using spatial financial time series models. Journal of Economics, Volume 195, pp. 211-223. Campos, R. et al., 2004. Financial credit risk measurement prediction using innovative soft-computing techniques. In Computational Finance and its Applications. Volume 38, pp. 57-66. Chai, Y. and Xia, E., 2008. Financial risk measurement and prevention. In Proceedings of the International Conference on Risk and Reliability Management. 10-12 November. Elgood et al, 2014. Tax risk management guide.. Hwang, R.C. and Chu, C.K., 2018. A logistic regression point of view toward loss given default distribution estimation. Quant. Finance., Volume 18, pp. 419-435. Leitch, M., 2003. Risk management history and regulations (UK). Mello et al., 1995. An integrated model of multinational flexibility and financial.. International Economic Review, Volume 39, pp. 27-51. Shapiro et al., 1992. Multinational Financial Management. Volume 4. Smith et al., 1990. Managing Financial Risk. Su, J. and Furman, E. A., 2017. Form of multivariate Pareto distribution with applications to financial risk measurement.. Volume 47, pp. 331-357. Tudorache, I.C, 2017. Bankruptcy prediction models for Romanian. Bucharest, Bucharest University Economic Studies, pp. 519-525. Weinberger, M et al., 2012. Tax risk and controversy survey, UK: Ernst &amp; Young.</references>
      <pdf_url>https://ijbed.org/cdn/article_file/2022-01-07-12-19-12-PM.pdf</pdf_url>
      <authors>
        <author>Nasser Mohammed Lasloom</author>
        <author>Elena Grigorieva</author>
      </authors>
      <keywords>
        <keyword>Multinational</keyword>
        <keyword>Financial risk</keyword>
        <keyword>Tax risk</keyword>
        <keyword>Chevron</keyword>
      </keywords>
      <metrics>
        <views>3833</views>
        <downloads>54</downloads>
        <citations>0</citations>
      </metrics>
      <declarations>
        <funding></funding>
        <conflict_of_interest></conflict_of_interest>
        <data_availability></data_availability>
        <author_contributions></author_contributions>
      </declarations>
      <supplementary_materials/>
    </article>
  </articles>
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