scholarly journals Income inequality in China 1952-2017: persistence and main determinants

2021 ◽  
Vol 12 (4) ◽  
pp. 863-888
Author(s):  
Marinko Skare ◽  
Luis A. Gil-Alana ◽  
Gloria Claudio-Quiroga ◽  
Romina Pržiklas Družeta
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Total Factor Productivity ◽  
Growth Model ◽  
Gini Index ◽  
Fractional Integration ◽  
Value Added ◽  
Safety Net ◽  
Factor Productivity ◽  
Modeling Framework

Research background: China's economic growth, however remarkable, is due to the Harrod-Domar nature of economic growth and, therefore, limited. The main limitation lies in the extension of the neoclassical growth model and the government need to decrease regional disparities using new migration, urbanization and social policy. Purpose of the article: It is the rising regional disparity in the total factor productivity to cause the income inequality increase (measured by GINI index) in China from 1952?2017. Our paper brings new insight into the main inequality determinants and causes in China, using a fractional integration modeling framework. Methods: Using fractional integration, we find total factor productivity (TFP), real gross domestic product per capita and growth and expenditures for the social safety net and employment effort to have a statistically significant impact on GINI. Income inequality in China is of a persistent nature with the effects of the shocks affecting the GINI index enduring over time. Findings & value added: The results of this study highlight the importance for model/policy changes by the policy makers and practitioners in China to deal with the inequality issue. This involves improving the growth model through innovation and technological advancement, relaxing TFP dependence on the physical inputs (labor and capital) to reduce income inequality.

Is Liberalisation Associated with Higher Productivity? A Case Study of Punjab Manufacturing

2007 ◽  
Vol 11 (4) ◽  
pp. 53-65
Author(s):  
Ravi Kiran ◽  
Manpreet Kaur
Keyword(s):  
Economic Growth ◽  
Total Factor Productivity ◽  
Manufacturing Sector ◽  
Research Work ◽  
Value Added ◽  
Business Environment ◽  
Empirical Literature ◽  
Factor Productivity ◽  
Policy Regime ◽  
Indian Economy

Productivity is an important concept in the context of the economic growth of a nation. The rate of productivity in accelerating the pace of economic growth is well recognised in both the theoretical as well as empirical literature on growth. The significance of productivity for economic growth was highlighted by Kuznets (1966) when he showed that rapid gain in industrial productivity was the crucial underpinning of Western Industrialization. The Indian Economy was thrust into throes of rapid change in the nineties when the then government of India adopted the New Economic Policy. Liberalization, Privatization and Globalization — became the three planks by which the Indian Economy was propelled into the fusion. This process has had maximum impact on the manufacturing sector, as it has radically changed its business environment and future growth dynamics. All the states of Indian union have been affected differently due to the structural changes. In response to changed policy regime different sub sectors of industry of Punjab have responded differently to adjust optimally. The present research work focuses on studying the response of manufacturing industries in Punjab to the changed policy regime after the advent of liberalisation and privatisation process in India. The present study analyses the trends in value added, labour, capital as well as trends in labour, capital and total factor productivity for sixteen industrial groups on the organised manufacturing sector for the period 1980 — 81 to 2002 — 03 and also for two sub periods, period I, 1980 — 81 to 1990 — 91 and period II, 1991 — 92 to 2002 — 03. The present study tries to examine the trends in partial productivities as well as total factor productivity in the two sub periods to see whether there has been an improvement in productivity in the post 1991 period, the period associated with liberalisation and globalisation. The study tries to analyse the industries which have been showing better performance in terms of partial and total factor productivity and also study the trends of the industries which have not performed well in the period of analysis.

scholarly journals PERTUMBUHAN EKONOMI, KETIMPANGAN PEDAPATAN DAN DESENTRALISASI DI INDONESIA

KINERJA ◽  
2016 ◽  
Vol 20 (1) ◽  
pp. 53
Author(s):  
Lestari Agusalim
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Linear Regression ◽  
Income Distribution ◽  
Gross Domestic Product ◽  
Gini Index ◽  
National Income ◽  
Secondary Data ◽  
Independent Variables ◽  
Regression Approach

AbstrakPenelitian ini bertujuan untuk mengkaji pengaruh desentralisasi dalam mendistribusikan pendapatan nasional untuk mengurangi ketimpangan pendapatan di Indonesia. Data yang digunakan adalah data sekunder, yaitu PDB sebagai representasi pendapatan nasional dan data indeks gini sebagai representasi tingkat ketimpangan pendapatan dengan rentang waktu 1978-2015. Metode analisis menggunakan regresi linear dengan pendekatan OLS dimana Indeks gini digunakan sebagai variabel dependen, dan PDB sebagai variabel independen. Selain itu, terdapat variabel independen lainnya, yaitu variabel dummy desentralisasi yang berguna untuk mengetahui pengaruh desentralisasi terhadap ketimpangan pendapatan. Hasil analisis menunjukkan bahwa dari aspek ekonomi, desentralisasi belum mampu mendistribusikan pertumbuhan ekonomi untuk memperkecil ketimpangan pendapatan masyarakat.Kata Kunci: Pertumbuhan Ekonomi, Ketimpangan Pendapatan, DesentralisasiAbstractThis research aims to analyze the effect of decentralization on national income distribution and the reduce of income Inequality in Indonesia. This research used secondary data with gross domestic product (GDP) representing national income and gini index data representing income inequality from 1978 to 2015. An OLS Linear Regression approach was employed where the gini index was the dependent variable, and the independent variables were GDP and the Dummy for decentralization implementation. The result revealed that decentralization had not been able to distribute economic growth to minimize income Inequality.Keywords: Economic Growth, Income Inequality, Decentralization

scholarly journals Pakistan’s Productivity Performance and TFP Trends, 1980–2015: Cause for Real Concern

2016 ◽  
Vol 21 (Special Edition) ◽  
pp. 33-63 ◽  
Author(s):  
Rashid Amjad ◽  
Namra Awais
Keyword(s):  
Economic Growth ◽  
East Asia ◽  
Total Factor Productivity ◽  
Labor Productivity ◽  
Productivity Growth ◽  
Output Growth ◽  
Factor Productivity ◽  
Sustained Growth ◽  
Growth Prospects ◽  
High Output

This paper reviews Pakistan’s productivity performance over the last 35 years (1980–2015) and identifies factors that help explain the declining trend in labor productivity and total factor productivity (TFP), both of which could have served as major drivers of productivity growth – as happened in East Asia and more recently in India. A key finding is that the maximum TFP gains and their contribution to economic growth are realized during periods of high-output growth. The lack of sustained growth and low and declining levels of investment appear to be the most important causes of the low contribution of TFP to productivity growth, which has now reached levels that should be of major concern to policymakers vis-à-vis Pakistan’s growth prospects.

scholarly journals The Relationship Between Public Expenditures, Total Factor Productivity and Economic Growth: A Panel Data Analysis

2021 ◽  
Author(s):  
Remzi Can Yılmaz ◽  
Ahmet Rutkay Ardoğan
Keyword(s):  
Economic Growth ◽  
Total Factor Productivity ◽  
Developing Economies ◽  
Panel Data Analysis ◽  
Statistical Significance ◽  
Data Availability ◽  
Public Expenditures ◽  
Annual Data ◽  
Factor Productivity ◽  
The Relationship

According to the economics literature, there are two main sources of economic growth. While the first of the resources is the accumulation of production factors, the other is the part of the output that cannot be explained by the amount of input used in production, in other words, the total factor productivity. The level of total factor productivity is measured according to how efficiently the inputs are used in the production process. In this study, the hypothesis that public spending affects real economic growth through total productivity is investigated. In the first stage, whether the changes in public expenditures affect the total factor productivity or not; if it does, to what extent and in what direction it has been tried to be revealed. In the second stage, the effect of total factor productivity on economic growth was examined and the statistical significance, direction and extent of the relationship between variables were investigated. Annual data were used in the study and the year range is 2000-2017. The sampling economies were selected according to data availability, and there are a total of 20 developed and developing economies. Research was conducted using multiple panel regression analysis. According to the findings, the relationship between public expenditures and total factor productivity is statistically significant. An increase in public expenditures reduces the total factor productivity. The relationship between total factor productivity and economic growth is statistically significant, and an increase in total factor productivity also increases economic growth. An increase in public expenditures affects economic growth negatively by reducing the total factor productivity.

Evaluation of Firm Performances in Emerging Markets

2020 ◽  
pp. 329-354
Author(s):  
Seda Ekmen Özçelik
Keyword(s):  
Emerging Markets ◽  
Total Factor Productivity ◽  
Labor Productivity ◽  
Value Added ◽  
Factor Productivity ◽  
Firm Level ◽  
Average Value ◽  
The World Bank ◽  
The World ◽  
Enterprise Surveys

This chapter provides basic understanding of firm performance in emerging markets by focusing on labor productivity and total factor productivity. In the study, labor productivity is measured in terms of average value added per worker. Total factor productivity is obtained from estimations of Cobb-Douglas production function where value added is a function of labor and capital. Data is obtained from the firm-level Enterprise Surveys by the World Bank. According to the results, differences in average labor productivities are significant among the sectors within each emerging region. Also, the value of factor elasticities changes across sectors as well as across regions. Moreover, the elasticity of capital is lower than the elasticity of labor for all sectors in regions. It implies that labor plays a more significant role and the firms are operating in a more labor-intensive production process in emerging markets.

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