scholarly journals Global Value Chain Participation and Current Account Balances in Landlocked African Countries

Author(s):  
Kenfack Geraud Francis ◽  
Ningaye Paul ◽  
Kuipou Toukam Christophe

The objective of this paper is to find out the direction of Global Value Chain Participation (GVCP) that contribute more to the Current Account Balance (CAB) in landlocked African countries from 2000 to 2018. Our specification follows the IMF's External Balance Assessment (EBA) model. The Feasible Generalized Least Square (FGLS) econometric technique is applied on data from three sources: (1) UNCTAD-EORA database for forward and backward participation indicators, (2) World Development Indicator (WDI) data set, for current account balance, foreign direct investment (FDI), population and trade openness and (3) Penn World Tables (PWT) for exchange rates. Results highlight a positive and significant contribution of forward GVCP on CAB in landlocked African countries. The study recommends that landlocked African countries should be active providers of value-added intermediary inputs to other Global Value Chain actors.

Author(s):  
Ningaye Paul ◽  
Tchounga Anatole ◽  
Kenfack Geraud Francis

The general objective of this paper is to evaluate the effects of Global Value Chain Participation (GVCP) on Current Account Balance (CAB) in African countries. The specific objectives are to (1) identify the type of GVCP that contributes more significantly and positively to African countries’ current account balance and (2) find out whether being landlocked affects a country’s participation in global value chain in Africa. This paper uses panel data from three secondary sources: (1) UNCTAD-EORA database (2018) for forward and backward participation indicators, (2) WDI (2018) for current account balance, FDI, population and trade openness and (3) PWT 9.1 for exchange rates. In a linear panel specification, this research applies the Feasible Generalized Least Square (FGLS) econometric techniques and results highlight firstly that forward GVCP contributes more significantly and positively to CAB in Africa with a coefficient ranging between 1.64 and 2.43 in various regressions. Secondly, the effect of GVCP on CAB is reduced in landlocked African countries as revealed in its negative and significant coefficient of -2.33 as the variables are interacted. This paper recommends that, African countries should embark on forward participation and improve connectivity infrastructure to facilitate the participation of landlocked African economies in global interactions.


Author(s):  
Sunday Ewah ◽  
Monica P. Lebo

This research is an empirical work that focused on the challenges bedeviling the manufacturing sub-sector ability to produce products that can compete with other brands in foreign markets. The data for the study were generated from central bank of Nigeria (CBN) and world bank development indicator (WBDI) of various years. The ordinary least square (OLS) econometric technique was used on time series data of important variables of manufacturing output, trade openness and current account balance. To guide the study it was hypothesized that institutional framework and government policy towards trade liberation encourages investment overtures. The findings of the study showed that trade openness and financial support significantly influence the performance of manufacturing sub-sector to produce goods for foreign markets even though the contribution of the Nigeria manufacturing sector is quite negligible. In conclusion the study recommended that the right investment induced policies and programmes should be put in place in order to ginger investment interest and supply both domestic and foreign markets with products that compete with other brands in the global markets.


2021 ◽  
Vol 13 ◽  
pp. 184797902110233
Author(s):  
Stefania Bait ◽  
Serena Marino Lauria ◽  
Massimiliano M. Schiraldi

The COVID-19 emergency is affecting manufacturing industries all over the world. Notably, it has generated several issues in the products’ supply and the global value chain in African countries. Besides this, Africa’s manufacturing value-added rate grew only 1.5 since 2018, and the foreign direct investment (FDI) from multinational enterprises (MNEs) remains very low due to high-risk factors. Most of these factors are linked to a non-optimized location selection that can adversely affect plant performance. For these reasons, supporting decision-makers in selecting the suitable country location in Africa is crucial, both for contributing to countries’ growth and companies’ performance. This research aims at presenting a comprehensive multi-criteria decision-making model (MCDM) to be used by MNEs to evaluate the best countries to develop new manufacturing settlements, highlighting the criteria that COVID-19 has impacted. Thus, it has affected countries’ performance, impacting the plant location selection choices. A combination of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods have also been used for comparative analysis. The criteria used in the proposed approach have been validated with a panel of MNEs experts.


2021 ◽  
pp. 2150289
Author(s):  
Lizhi Xing ◽  
Yu Han ◽  
Dawei Wang

Under the dual background of trade disputes between China and the United States and the epidemic of 2019 novel coronavirus, the existing Global Value Chain (GVC) division and trading system are facing unprecedented impact. This paper reinforces the present studies on international trade by analyzing the fragments of GVC, which are made of numerous Inter-Country Input–Output (ICIO) relations. We first redefine the inter-country and inter-sector propagating process of intermediate goods, coming up with the concept of Strongest Relevance Path Length (SRPL) based on Revised Floyd–Warshall Algorithm (RFWA). Second, enlightened by betweenness centrality, we introduce Weighted Betweenness Centrality of Edge based on RFWA to measure the Value-Added Pivotability of Input–Output Relations, which brings forth pivotability at domestic, international, and global levels. The results show how much a given country can influence the world economic pattern by linking worldwide upstream and downstream industrial sectors, be it at home or abroad. Also, we can try to explain what is the cause of the phenomenon that the economic influence of nations is trading off and taking turns with all sorts of local or even global evens happening.


Entropy ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. 1068 ◽  
Author(s):  
Georgios Angelidis ◽  
Evangelos Ioannidis ◽  
Georgios Makris ◽  
Ioannis Antoniou ◽  
Nikos Varsakelis

We investigated competitive conditions in global value chains (GVCs) for a period of fifteen years (2000–2014), focusing on sector structure, countries’ dominance and diversification. For this purpose, we used data from the World Input–Output Database (WIOD) and examined GVCs as weighted directed networks, where countries are the nodes and value added flows are the edges. We compared the in-and out-weighted degree centralization of the sectoral GVC networks in order to detect the most centralized, on the import or export side, respectively (oligopsonies and oligopolies). Moreover, we examined the in- and out-weighted degree centrality and the in- and out-weight entropy in order to determine whether dominant countries are also diversified. The empirical results reveal that diversification (entropy) and dominance (degree) are not correlated. Dominant countries (rich) become more dominant (richer). Diversification is not conditioned by competitiveness.


2019 ◽  
Vol 97 ◽  
pp. 111-124 ◽  
Author(s):  
Johannes Brumm ◽  
Georgios Georgiadis ◽  
Johannes Gräb ◽  
Fabian Trottner

Sign in / Sign up

Export Citation Format

Share Document