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The purpose of this paper is to examine the relationship between industrial sector growth, inequalities and urban poverty reduction

The paper used static panel data analysis. However, the tests suggest that there are no state-specific effects; hence, the pooled panel regression techniques are used for the analysis.

The findings of the paper suggest that the industrial sector growth exert no significance on urban poverty while the urban wholesale and retail services growth is found to be substantially strong in reducing urban poverty. The results also indicate that there is no statistically significant evidence to conclude that higher incidence of urban poverty was due to the high degree of inequalities.

This paper has provided some helpful results in understanding the heterogeneous effects of sectoral components of growth of urban poverty in the presence of high income inequalities, but the limitation of this study is that there is no disaggregated poverty and growth data on different occupational activity.

There is a need to expand investment in the production and export manufacturing labor-intensive sectors; this will help increase the labor absorption rate of the industry and, thus, reduce poverty in the urban areas.

The paper improves on previous research on poverty in Nigeria by explicitly recognizing the effects of location and inequality.

The purpose of this paper is to examine some factors that influence the intensity of fertilizer use in Malawi.

The study uses Engle-Granger, Engle-Yoo three steps and autoregressive distributed lags (ARDLs) approaches to examine the long-run and the short-run dynamics among the variables using annual data from 1961 to 2006.

The econometric results indicate that all the variables exert significance influence on the quantity of fertilizer demanded excluding population growth, while the results of the short-run model indicate that the responsiveness of fertilizer demand to all the variables is significant.

Although, this study has provided some helpful results in understanding the major factors responsible for low fertilizer consumption in the study but some time series data on important factors are lacking.

The work is different from already existing literature in Malawi. The authors included subsidy and real gross domestic product to account for the effect of macroeconomic shocks and policies, which has not been accounted for by other related empirical studies. Moreover, this study used ARDLs techniques that can overcome the problem of insufficiently long time series data which is a significant contribution to the existing literature.