Since the 1990s, the economic growth of the West African region has been remarkable, with average GDP growth of 5 per cent annually. In view of that, this article investigates the Total Factor Productivity (TFP) performance for the Economic Community of West African States (ECOWAS) region, which takes into account the recent development on political stability and trade openness. There were also periods when TFP fell sharply, the most significant happened in the late 1990s and 2000s where TFP dropped significantly which might be attributed to the spillover effect of the Asian and global financial crises. Our results showed that TFP was performing well for the region as well as for each member countries for the period of the study. We acknowledged that the estimated TFP in our model captures other factors such as human capital, health and other institutional factors that could affect economic growth. We also estimated the Technical Efficiency (TE) for the ECOWAS region using the Stochastic Frontier Modelling and the result indicates that the TE performance is well below the optimal level of production.
AdenikinjuA. F. (2005, November). Productivity performance in developing countries. Country case studies. Nigeria.
2.
African Economic Outlook, (2013). Structural transformation and natural resources. African Development Bank.
3.
AhmedM. (2012). Openness, institutions, and economic growth: Empirical evidence from panel estimation. Raleigh, NC: North Carolina State University.
4.
AignerD.LovellC. K.SchmidtP. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21-37.
5.
AjaoO. A. (2003). Empirical analysis of agricultural productivity growth in Sub-Saharan Africa. Ogbomosho, Nigeria: Agricultural Economics and Extension Department, Ladoke Akintola University of Technology.
6.
AkinloA. E.AdejumoO. O. (2016). Determinants of total factor productivity growth in Nigeria, 1970–2009. Global Business Review, 17(2), 257–270.
7.
AleneA. D. (2010). Productivity growth and the effects of R&D in African agriculture. Agricultural Economics, 41, 223–238. Retrieved from http://doi.org/10.1111/j.1574-0862.2010.00450.x
8.
AtsuF.AgyeiC.Phanuel DarbiW.Adjei-MensahS. (2014). The impact of telecommunication revenue on economic growth: Evidence from Ghana. African Journal of Economic and Management Studies, 5(2), 195–208. Retrieved from http://doi.org/10.1108/AJEMS-10-2011-0076
9.
BanikN.YoonusC. A. (2012). Trade as an answer to sustainable economic growth—The ECOWAS story. Global Business Review, 13(2), 311–326.
10.
BaumolW. J. (1986). Productivity growth, convergence, and welfare: What the long-run data show. The American Economic Review, 76(5), 1072–1085.
11.
BenhabibJ.SpiegelM. M. (1994). The role of human capital in economic development evidence from aggregate cross-country data. Journal of Monetary Economics, 34(2), 143–173. Retrieved from http://doi.org/10.1016/0304-3932(94)90047-7
12.
BorenszteinE.De GregorioJ.LeeJ. W. (1998). How does foreign direct investment affect economic growth?. Journal of International Economics, 45(1), 115-135.
13.
BosworthB.CollinsS. M. (2008). Accounting for growth: Comparing China and India. Journal of Economic Perspectives, 22(1), 45–66.
14.
FäreR.GrosskopfS.NorrisM.ZhangZ. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. The American Economic Review, 84(1), 66–83.
15.
FarrellM. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253-281.
16.
FeenstraR. C.InklaarR.TimmerM. P. (2015). The next generation of the Penn World Table. American economic review, 105(10), 3150-82
17.
FuglieK. O. (2008). Is a slowdown in agricultural productivity growth contributing to the rise in commodity prices? Agricultural Economics, 39(Suppl. 1), 431–441. Retrieved from http://doi.org/10.1111/j.1574-0862.2008.00349.x
18.
FulginitiL. E.PerrinR. K.YuB. (2004). Institutions and agricultural productivity in Sub-Saharan Africa. Agricultural Economics, 31(2–3), 169–180. Retrieved from http://doi.org/10.1016/j.agecon.2004.09.005
19.
GehringerA.Martinez-ZarzosoI.Nowak-LehmannF. (2014). TFP estimation and productivity drivers in the European Union. SSRN Electronic Journal, 189, 1–37. Retrieved from http://doi.org/10.2139/ssrn.2398493
20.
KimS.HanG. (2001). A decomposition of total factor productivity growth in Korean manufacturing industries: A stochastic frontier approach. Journal of Productivity Analysis, 16(3), 269-281.
21.
KlenowP. J.Rodriguez-ClareA. (1997). The neoclassical revival in growth economics: Has it gone too far? NBER Macroeconomics Annual, 12, 73–114. Retrieved from http://doi.org/Abstract
22.
KumbhakarS. C.DennyM.FussM. (2000). Estimation and decomposition of productivity change when production is not efficient: a panel data approach. Econometric Reviews, 19(4), 312-320
23.
MengistaeT.PattilloC. (2004). Export orientation and productivity in sub-Saharan Africa. IMF Staff Papers, 51(2), 327-353.
24.
MeeusenW.Van Den BroeckJ. (1977). Efficiency estimation from Cobb-Douglas production functions with composed error. International economic review, 435-444.
25.
NduluB.ChakrabortiL.LijaneL.RamachandranV.WolginJ. (2007). Challenges of African growth: Opportunities, constraints, and strategic directions. Washington, DC: The World Bank.
26.
NewmanC.RandJ.TarpF.Thi Tue AnhN. (2016). Exporting and productivity: Learning from Vietnam. Journal of African Economies, 2012, 1–25. Retrieved from http://doi.org/10.1093/jae/ejw021
27.
NielsenH. B. (2004). Generalized method of moments (GMM) estimation. Spring, 6, 1–24. Retrieved from http://doi.org/10.1017/CBO9780511625848
28.
Nin PrattA.YuB. (2009). An updated look at the recovery of agricultural productivity in sub-Saharan Africa(No. 1005-2016-79084)
29.
PickettB. J. C.ReillyD. P.McintyreR. M. (2005). How to select a most efficient OLS model for a time series data. The Journal of Business Forecasting, 11–15. Retrieved from http://www.autobox.com/pdfs/Pickett.pdf
30.
PigatoM.TangW. (2015). China and Africa: Expanding economic ties in an evolving global context (Vol. 1, pp. 1–40). Retrieved from http://documents.worldbank.org/curated/en/2015/03/24177102/china-africa-expanding-economic-ties-evolving-global-context
31.
PritchettL. (1998). Patterns of economic growth: Hills, plateaus, mountains, and plains(World Bank Policy Research Working Paper No. 1947). Washington, DC: World Bank, Development Research Group.
32.
SchroederD. (2010). Overview of endogeneity. Accounting and Causal Effects, 123–156. Retrieved from http://doi.org/10.1007/978-1-4419-7225-5
33.
SolowR. M. (1957). Technical change and the aggregate production function. The review of Economics and Statistics, 312-320
34.
SyversonC. (2011). What determines productivity. Journal of Economic Literature, 49(2), 326–365.
35.
United Nations. (2001). Economic development in Africa: Performance, prospects and policy issues. United Nations Conference on Trade and Development, New York and Geneva(UNCTAD/GDS/AFRICA/1TD/B/48/12).
36.
Van BiesebroeckJ. (2005). Exporting raises productivity in sub-Saharan African manufacturing firms. Journal of International Economics, 67(2), 373-391
37.
WintokiJ.LinckJ.NetterJ. (2009). Endogeneity and the dynamics of corporate governance. Journal of Financial Economics, 105, 52. Retrieved from http://doi.org/http://dx.doi.org/10.1016/j.jfineco.2012.03.005
38.
ZellnerA.KmentaJ.DrèzeJ. (1966). Specification and estimation of Cobb-Douglas production function models. Econometrica, 34(4), 784–795. Retrieved from http://doi.org/10.2307/1910099
