scholarly journals Is Inequality Slowing Down Africa’s Industrialization?

2021 ◽  
Vol 7 (4) ◽  
pp. p31
Author(s):  
Zogo Ekassi Richard
Keyword(s):  
Regression Model ◽  
Data Model ◽  
Generalized Method Of Moments ◽  
Dynamic Panel Data ◽  
Smooth Transition ◽  
African Countries ◽  
Industrial Transformation ◽  
Slowing Down ◽  
Smooth Transition Regression ◽  
Smooth Transition Regression Model

Africa has also experienced a decline in the level of industrialization for at least three decades. Examining the dynamics of industrialization, and its effect on inequality, therefore remains a strikingly topical issue. This paper assesses the effects of industrial transformation on inequality in Africa over the period 1980-2016. Using a sample of 48 African countries, we estimate a dynamic panel data model using the Generalized Method of Moments in System (GMM-S). Our results show that strong industrialization would reduce inequality in Africa. The robustness of the results is tested using a PSTR (Panel Smooth Transition Regression) model and a PTR (Panel Transition Regression) model. The study recommends that economic, social and environmental disparities be taken into account in the process of industrial transformation on the continent.

scholarly journals Urbanization, Industrialization and Inequalities in Africa: does threshold matter?

2021 ◽  
Vol 9 (08) ◽  
pp. 2337-2352
Author(s):  
Bruno Emmanuel ONGO NKOA ◽  
Richard ZOGO EKASSI ◽  
Jaques Simon Song
Keyword(s):  
Regression Model ◽  
Data Model ◽  
Generalized Method Of Moments ◽  
Smooth Transition ◽  
African Countries ◽  
Smooth Transition Regression ◽  
Different Dimensions ◽  
Impact Of Urbanization ◽  
Smooth Transition Regression Model ◽  
The Impact

This paper examines the impact of urbanization and industrialization on observed inequalities in a sample of 48 African countries. We specify and estimate a panel data model using the Generalized Method of Moments-System (GMM-S) over the period 1980-2016 along the different dimensions of inequality. Our results show that urbanization increases income, environmental and housing inequalities in Africa, while industrialization reduces them. Our results remain robust with the use of Panel Smooth Transition Regression Model (PSTR) and Panel Transition Regression Model (PTR). We suggest taking into account the disparities identified in the inclusive urbanization and industrialization policies of African cities.

MODELING THE PHILLIPS CURVE IN CHINA: A NONLINEAR PERSPECTIVE

2016 ◽  
Vol 21 (2) ◽  
pp. 439-461 ◽  
Author(s):  
Lingxiang Zhang
Keyword(s):  
Regression Model ◽  
Inflation Rate ◽  
Phillips Curve ◽  
Smooth Transition ◽  
Short Term ◽  
Smooth Transition Regression ◽  
Using Data ◽  
Smooth Transition Regression Model ◽  
Economic Growth Rates ◽  
The Relationship

This paper investigates the nonlinear dynamics of the inflation–output type of Phillips curve based on a multiple-regime smooth transition regression model using data from China. The empirical results indicate significant nonlinearities in China's Phillips curve. The relationship between inflation and output can be modeled by a four-regime smooth transition regression model in which the responses of inflation to output depend on both inflation and economic growth rates. The inflation–output type Phillips curve may be positively sloped, negatively sloped, or even vertical in the short term, depending on different business cycles. Furthermore, we analyze business cycle fluctuations based on the nonlinear Phillips curve, indicating a coexisting zone of stable inflation rate and rapid growth rate.

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