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The purpose of this paper is to assess the impact of sectoral economic growth and other factors on poverty reduction in Vietnam in the period 2010–2016.

Originating from the question of whether there is an endogenous problem between the structure of economic growth by sector and some other factors in the process of impact on poverty reduction, the paper has used the 2-Stage Least Squares method to deal with the endogenous issues.

Increasing the proportion of the industrial sector and the agricultural sector had great impacts on poverty reduction. In contrast, the increasing proportion of the service sector made the poverty rate higher. One noticeable thing is that economic growth was not significant for the goal of poverty reduction in 2010–2016. In addition, the process of urbanization, the increase in the labor rate and literacy rate contributed positively to poverty reduction achievements. Finally, population growth was also one of the reasons hindering Vietnam’s successful poverty reduction process.

Accelerating the process of economic restructuring in the direction of increasing the proportion of the industry is accompanied by more attention to agricultural development than the service sector. Employment creation policies should be promoted. Maintaining population control by educating poverty reduction awareness for the poor will have a positive effect on long-term poverty reduction.

Research on the growth structure by sector affecting poverty reduction in Vietnam is still relatively limited. The study of relationships in the context of endogenous existence is still quite limited in Vietnam. Therefore, this paper has focused on the question of sectoral economic growth affects poverty in the interrelation among sectors in the process of economic development.

This study aims to examine the effect of structural transformation on poverty alleviation in Sub-Saharan Africa (SSA) countries with a higher share of services as a percentage of gross domestic product (GDP). The study specifically focuses on the value-added share as a percentage of GDP in the agricultural, manufacturing, industrial, and service sectors using time series data from 1988 to 2019.

The study utilizes the autoregressive distributive lag (ARDL) bound test framework for estimation, based on the conclusions drawn from the augmented Dickey-Fuller and Phillips–Perron unit root tests, which provide evidence of a mixed order of integration.

The result reveals that agriculture value-added (AVA), manufacturing value-added (MVA), industrial value-added (IVA), and services value-added (SVA) have a positive and significant impact on poverty alleviation in both the short and long run. However, the agriculture sector is found to be more effective in reducing poverty compared to the other sectors examined in this study. Additionally, this study challenges the notion that SSA countries have undergone an immature structural transformation. Instead, it reveals a pattern of stagnant structural transformation, as indicated by the lack of growth in the industrial and manufacturing value-added shares of GDP.

To enhance productivity and reduce poverty, SSA economies should adopt a development strategy that prioritizes heavy manufacturing and industrial sectors, leading to a transition from the agricultural to the secondary and tertiary sectors.

The study contributes to the emerging literature on structural transformation by investigating which sector is more efficient in reducing poverty in SSA countries, using the value-added share as a percentage of GDP for agricultural, manufacturing, industrial, and service sectors. The study also aims to determine if SSA countries have experienced immature structural transformation due to the growing share in the service sector.

This paper examines credit composition and income inequality reduction in Vietnam. In particular, the authors focus on the distinction between policy and commercial credits and investigate whether these two types of credit adversely affect on income inequality. The authors also examine whether the educational level and institutional quality condition the impact of policy credit on income inequality.

The authors use the primary data set, which contains a panel of 60 provinces collected from the General Statistics Office of Vietnam from 2002 to 2016. The authors employ the generalized method of moments to solve the endogenous problem.

The authors show that while commercial credit increases income inequality, policy credit reduces income inequality in Vietnam. In addition, we provide evidence that the institutional quality and educational level condition the impact of policy credit on income inequality. Based on the findings, the paper implies that it was not the size of the private credit but its composition that mattered in reducing income inequality due to the asymmetric effects of different types of credit.

The government should focus on credit for the poor by helping them to exit poverty through investing in human capital, health and micro enterprises activities.

This is the first study that examines the links between the two components of credit and income inequality as well as the constraints of the links. The authors argue that analyzing the separate effects of commercial and policy credits is more important for explaining the role of credit in income inequality than the size of total credit.

The aim is to examine the long run and short run linear and non-linear impact of foreign direct investment (FDI) inflows on poverty in Nigeria from 1980 to 2019.

The Augmented Dickey Fuller, Phillips Perron and Kwiatkowski-Phillips-Schmidt-Shin unit root tests and bounds test were used to tests the series stationarity and co-integration, respectively. Autoregressive Distributive Lag (ARDL) and non-linear and linear autoregressive Distributive Lag (NARDL) estimators are employed to examine the long run and short run impact of the coefficients of the variables and diagnostic check.

The study finds that the variables are integrated at a level I(0) and the first difference I(I) and co-integrated. The ARDL estimator indicates that FDI significantly reduces poverty in the long and short run. The findings under NARDL shows FDI positive shock and FDI negative shock reduces poverty substantially in the long-short run, respectively. The error correction term is negative and significant.

This study is limited to a single country (time series) and less informative compared with the panel data study with much informative and free from hetero-scedasticity. Future studies should consider panel data using a similar or dissimilar approach.

FDI inflows stimulate growth, thereby creating job openings, transfer of modern technology and reduce poverty and demonstrate that, if the finding integrated into policy actions, the government would attract FDI inflows for the real sector of the economy.

FDI inflows lead to environmental degradation if inferior technology is use in the host economy, especially the weak environmental regulations in Nigeria.

The authors find no study that applied both ARDL and NARDL estimator, selection of variables measurement and time frame for the study in the context of Nigeria.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2020-0530.

The Ethiopian economy is characterized by erratic and poor performance with negative growth rates, seven times over the period 1981-2010. This trapped per capita income at 358 USD in 2010 staying far away from middle-income country status. A lot of unsolved debates regarding perpetual growth, structural change and sectoral allocation of resource emerged overtime. The purpose of this paper is to examine the alternative effects of induced sectoral total factor productivity and makes comparisons of various sectoral growth options.

This study uses a recursive dynamic computable general equilibrium model based on neoclassical-structuralist thought. It also calibrates coefficients that capture the impacts of openness, imported capital and liberalization on sectoral total factor productivity growth using a model of vector auto-regressive with exogenous variables.

Future economic growth rate is expected to grow at a declining trend and to be dominated by the service sector. If it keeps growing on the current path it will expose the economy to a severe structural change burden problem. Openness induced agricultural total factor productivity highly improves the welfare of households while imported capital goods induced industrial total factor productivity is also better in fostering structural change of the economy. The broad-based growth option that combines the induced total factor productivity of all sectors also enables the economy to achieve more sustainable growth, rapid structural change and welfare gain at the same time.

There are intensive and charged debates regarding alternative sectoral growth options. However, the debate does not derive from a rigorous analysis and holistic economy-wide approach. It is rather affiliated with politics. Therefore, the paper is original and investigates these issues meticulously.

Recent research supports the role of productive government spending as an important determinant of economic growth. Previous analyses have focused on the separate effects of public investment in infrastructure and on investment in education. This paper aims to introduce both types of public investment simultaneously, enabling the authors to address the trade‐offs that resource constraints may impose on their choice.

The authors employ a two‐sector endogenous growth model, with physical and human capital. Physical capital is produced in the final output sector, using human capital, physical capital, and government spending on infrastructure. Human capital is produced in the education sector using human capital, physical capital, and government spending on public education. The introduction of productive government spending in both sectors yields an important structural difference from the traditional two‐sector growth models in that the relative price of human to physical capital dynamics does not evolve independently of the quantity dynamics.

The model yields both a long‐run growth‐maximizing and welfare‐maximizing expenditure rate and allocation of expenditure on productive capital. The welfare‐maximizing rate of expenditure is less than the growth‐maximizing rate, with the opposite being the case with regard to their allocation. Moreover, the growth‐maximizing value of the expenditure rate is independent of the composition of government spending, and vice versa. Because of the complexity of the model, the analysis of its dynamics requires the use of numerical simulations the specific shocks analyzed being productivity increases. During the transition, the growth rates of the two forms of capital approach their common equilibrium from opposite directions, this depending upon both the sector in which the shock occurs and the relative sectoral capital intensities.

These findings confirm that the form in which the government carries out its productive expenditures is important. The authors have retained the simpler, but widely employed, assumption that government expenditure influences private productivity as a flow. But given the importance of public investment suggests that extending this analysis to focus on public capital would be useful.

Two‐sector models of economic growth have proven to be a powerful tool for analyzing a wide range of issues in economic growth. The originality of this paper is to consider the relative impact of government spending on infrastructure and government spending on human capital and the trade‐offs that they entail, both in the long run and over time.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

This study takes a disaggregated approach to investigate the impacts of long-run GDP on changes in total government expenditure in the Eastern Caribbean Currency Union (ECCU) economies. An understanding of the relationship between changes in total government expenditure and GDP (by sector categories) is expected to provide a working tool to understand the growth debt nexus of Caribbean countries. The purpose of the paper is to use an auto regressive distributed lag (ARDL) and error correction model (ECM) to examine and analyse short- and long-run dynamics of disaggregated approach to both output and government expenditure in a dynamic model to identify the growth in the Eastern Caribbean Countries.

In an attempt to examine the long-run dynamics, data for the period 1970-2015 were used in an ARDL and ECM framework. The authors examine the long-run GDP impacts of changes in total government expenditure and in the shares of different spending categories for the ECCU countries to establish and analyse short and long-run dynamics.

The results suggest that total fiscal expenditure and disaggregated expenditure including debt services have both positively and negatively contributed to economic growth in the agriculture, manufacturing and mining sectors. Among others, the study found that high national debt in the region resulted primarily from increases in government expenses and diminishing income sources.

This paper is the first to take a disaggregated approach to investigate the relationship between economic growth and government expenditure in the Eastern Caribbean States. The authors’ empirical results suggest that debt servicing reduces economic growth both in the short and long run. The greatest impact being felt in the mining and manufacturing sectors, namely, 1 per cent increase in debt service will bring about 7.90 and 1.67 per cent decrease in economic growth. These results offer fairly strong support to the view that expenditure share variables can weaken sectoral growth, and hence force the overall growth to decline.

The secular transformation in Irish sectoral employment shares, which has been stimulated by the change in focus of both Irish industrial and trade policies, mirrors the significant changes that have occurred in international structures of production. Estimates the contribution of changes in Ireland’s sectoral employment structure to labour productivity convergence between Ireland and the EU average from 1970‐1990. Identifies the variation in Irish sectoral employment distribution over time as a significant source of labour productivity convergence. Ireland’s labour productivity convergence was 0.3 per cent per annum higher as a result of shifts in Irish employment distribution than would have occurred without changes in the structure of Irish employment.