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The purpose of this paper is to explore the effect of growth in different sectors of the economy of developing countries on income inequality and analyze how inflation, as a proxy for monetary policy, makes a proportionate contribution for setting a binding national target for reducing income inequality. The paper examines the existence of a linear or nonlinear effect of inflation and sectoral economic growth on income inequality using a balanced panel data of 92 developing countries for the period of 1990–2014.

Methods section includes several steps as below: first, the functional form of the model using panel data for investigating the contribution of economic sectors in income inequality; second, to estimate the relationship between income inequality and sector growth: testing the Kuznets hypothesis; third, to estimate the relationship between inflation and income inequality base on general functional form of the model proposed by Amornthum (2004); fourth, a panel Granger causality analysis based on a VECM approach.

The statistically significant finding shows that first agricultural growth and then industrial growth have a dominate impact in reducing income inequality in our sample. But, the service sector growth has positive effects. The results confirm the existence of Kuznets inverted “U” hypothesis for industry growth and Kuznets “U” hypothesis for service sector growth. The findings show that sector growth and inflation affect income inequality in the long-run.

This research is an original paper which analyzes the effect of growth in different sectors of the economy of developing countries (agriculture, manufacturing and services sectors) on income inequality and test the Kuznets hypothesis in terms of sector growth and at the same time, examine the existence of a linear/nonlinear effect of inflation and sectoral economic growth on income inequality and test Granger causality relationship between income inequality and sector growth and inflation.

This paper aims to show the interrelation and relevancy of the concept and theory of cultural lag to social justice. The conception of social justice, though wide in scope, is applied in this paper to the limited domain of equality of opportunity and fairness with respect to income distribution.Design/methodology/approach – The methodology of this paper is holistic and interdisciplinary, and interrelates the social and the economic in the overall dynamics of general culture evolution.Findings – The “inverted U‐curve hypothesis” of Simon Kuznets implies that a greater equality of income distribution would be forthcoming in an economy characterized by a mature phase of modern economic growth. Empirical evidence demonstrates that such a movement toward greater equality is subject to question. The American experience of the 1920s and the period from 1973 to the present offers evidence to question the U‐curve hypothesis. Contrary to expectations, during these periods income distribution became more unequal. These periods, indicative of maladjustment, are used to demonstrate and serve as examples of cultural lags. The concept and theory of cultural lag exposes the need for prerequisite institutional adjustment. It consequently appears that the American institutional structure, currently directing the economy toward a policy orientation of laissez‐faire and the resulting increased inequality of income distribution, is anachronistic to a modern industrial society oriented toward the goal of social justice.Originality/value – Relevant to the quest of social justice.

Due to large amounts of coal burning, huge carbon dioxide emission and poor environmental quality, it is important to identify whether environmental Kuznets curve exists in China and India since in downward period of environmental Kuznets curve, economic growth in these countries will largely contribute to world environmental quality. Further, it helps to make a comparative analysis between China and India on how economic growth will contribute to the environmental quality in both upward and downward period of environmental Kuznets curve due to energy consumption.

This study uses the data of carbon dioxide emission, per capita GDP and energy consumption from 1972 to 2017 to identify individual and panel-level environmental Kuznets curve of China and India. Before going to regression and causality analysis, unit root and cointegration tests are performed.

This study finds the existence of environmental Kuznets curve in China and India at both individual and panel level. Further, due to high energy consumption, environmental quality in China will deteriorate at a lower rate in the long run than that of India. Next, the increase in economic growth or per capita GDP in the long run will deteriorate environmental quality at a lower rate in China than that of India. Besides, with the zero level of energy consumption and per capita GDP, the environmental quality of China will be worse than that of India. However, increase in per capita GDP after threshold level will improve environmental quality in India at a higher rate than that of China.

It helps to formalize the comparative relationship between the two large Asian economies by knowing the influence of economic growth on environmental degradation due to energy consumption. However, this study cannot conclude exactly when China and India can avail the downturn in environmental Kuznets curve.

It firstly establishes a link among energy consumption, economic growth and environmental quality between China and India including comparative pace in both upward and downward period of environmental Kuznets curve.

The purpose of this paper is to investigate the relationship between economic development and income distribution for Iran. Using time series data for the period 1967‐1993, it is found that there is no significant relationship between the Gini coefficient for household expenditure and per capita income. This result means there is no evidence in Iran, for the period analysed here, of there being a U‐relationship between these two variables as suggested by Kuznets. However, the empirical econometric results lend support for the view that institutional or structural variables affect income distribution. This paper has four policy messages for Iranian decision makers. First, income inequality can be reduced by stimulating the goods‐producing sectors of the economy such as agriculture, manufacturing etc. Second, expansion of most of the service sectors, such as trade, real estate etc., in Iran, because of the association in such sectors with rent seeking behaviour, is found to be positively related to inequality. Third, government subsidies and transfers have not decreased income inequality in Iran. On the contrary, the empirical evidence indicates that government transfers have exacerbated inequality. Fourth, government per capita expenditures (current and capital) have played an important role in alleviating relative poverty.

The rise in public debt and the increased extraction of natural resources in Ghana at a time that environmental degradation is escalating, especially with carbon dioxide emission, is worrying. This seems to cast doubt on the country's ability to meet the goals of the Paris agreement for climate change and ensuring sustainable development. Consequently, in this study, the effect of natural resources extraction and government debt on carbon dioxide emission is investigated.

The Environmental Kuznets Curve (EKC) hypothesis was adopted for this study. The Fully Modified Ordinary Least Square Model was used for assessing the data. An annual data from 1971 to 2018 was used for the analysis.

The long-run results based on the Fully Modified Ordinary Least Square analysis reveal that natural resources extraction increases carbon dioxide emissions. Moreover, the joint effect of post-oil production in commercial quantities and natural resources rent increases carbon dioxide emission. Further, the findings document that the initial stage of government debt improves environmental quality up to a point, beyond which an increase in debt hurts the environment. On the environmental degrading effect of economic growth, the findings validate the Environmental Kuznets Curve hypothesis. It is also observed that urbanization degrades environmental quality.

The study offers appropriate recommendations policymakers need to embrace towards the attainment of lower carbon emissions from the loans and natural resources rent to achieve environmental sustainability.

The effect of debt on carbon dioxide emission is assessed for the Ghanaian economy. It also contributes to studies on the natural resources-carbon emission nexus.

This paper not only aims to validate the environment Kuznets curve concerning five Asian economies but also attempts to analyze the impact of some additional factors like financial development, energy consumption and foreign direct investment (FDI) on carbon emissions.

This paper applies pooled mean group approach on the variables of a panel of five Asian economies namely India, Pakistan, Bangladesh, Sri Lanka and Malaysia for a period of 35 years from 1980 to 2014.

This study finds that while moderate economic growth as well as moderate financial development increase carbon emissions, accelerated or exponential economic growth as well as exponential financial development eventually reduce the level of carbon emissions. Energy consumption was found to have a direct and significant relationship with carbon emissions. FDI inflows when analyzed on a stand-alone basis were observed to have an inverse relationship with carbon emissions, while FDI inflows when clubbed with financial development were observed to have a direct relationship with carbon emissions.

The findings of this study, which validate the environmental Kuznets curve, suggest striving for higher economic growth, even if it causes increased carbon emissions to begin with, as the effects on carbon emissions would eventually get reversed when the economic growth accelerates at a higher rate. This study also suggests the appropriate routing of FDI through a mature and developed financial sector to leverage its impact on the environment in a positive way.

To the best of the knowledge of the authors of this paper, there has not been any research carried out so far, which has analyzed the impact of the combination of variables selected for this study concerning the five Asian economies covered in this paper.

In spite of the drive toward environmental sustainability and the attainment of sustainable development goals (SDGs), coal, oil and natural gas energy utilization has remained the Turkey's largest energy mix. In view of this concern, this study examined the role of coal and oil energy utilization in environmental sustainability drive of Turkey from the framework of sustainable development vis-à-vis income expansion over an extended period of 1965–2017.

In this regard, the authors employ carbon emission as an environmental and dependent variable while the Gross Domestic Product per capita (GDPC), coal and oil energy consumption are the explanatory variables employed in the study.

The study found that both energy mixes (coal and oil) have a detrimental impact on the environment in both the short and long run, but oil consumption exerts a less severe impact as compared to coal energy. In addition, sustainable development via income growth is not feasible because the income–environmental degradation relationship follows a U-shaped pattern (invalidating the Environmental Kuznets curve, EKC hypothesis) especially when coal and oil remained the major source of lubrication to the economy. At least the EKC hypothesis is unattainable in Turkey as long as the country's major energy mix or primary energy (coal and oil) is in use, thus the application of other socioeconomic, macroeconomic policies might be essential.

Considering the lingering energy challenge associated with Turkey, this novel insight further presented useful policy perspectives to the government and stakeholders in the country's energy sector.

This evidence (the U-shaped relationship) is further ascertained when the aggregate primary energy is employed. Thus, this study provides a novel insight that attaining a sustainable economic growth in Turkey remained a herculean task as long as a more aggressive energy transition approach is not encouraged.

Globalization is a process of interaction and integration among the countries, their people, their businesses, and their governments. It is a change driven by international trade, implemented by various policies and aided by modern technology. It has impacts on the environment, culture, political systems, economic development and prosperity, and human physical well-being in societies around the world. But there can be some negative impacts as well. One possible outcome of globalization of all sorts can be the income inequalities. Objective of this chapter is to search for any such connection. Gini coefficient, unemployment rate, Below Poverty Line (BPL) is taken to understand the extent of inequalities in different countries. Outcome shows some countries do not show any association between globalization and income inequalities; some do. Therefore, there are some other variables which influence the above relationship. This chapter tries to identify all such background factors. It reveals that factors like level of development, demographic structure, urbanization, adult and tertiary level of education and government expenditure share in higher education play important roles. All these have different magnitudes of impacts on change in income distribution due to the initial process of globalization.

Tourism has grown to be one of the world's largest and fastest-growing economic industries. Tourism development is viewed as a tool to improve income distribution as it allows people at the bottom of the pyramid to get involved in the industry. This study aims to examine the impact of tourism on income inequality in the top income equality countries.

The paper employs fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares techniques to investigate the dynamic impact of tourism on income inequality in the world's most income equality countries, from 2001 to 2016.

The result shows that tourism is one of the major drivers of income equality. Thus, tourism can be used to reduce a country's income disparity.

As a result, policymakers should support the tourism industry to reduce income disparity and enhance income distribution.

Given the conflicting findings in the literature, this study reexamines this link and attempts to backwardly assess if the top equal-income countries in the world are heavily dependent on tourism.

This chapter empirically investigates the dynamic effects of globalisation on carbon emission in developing countries across the globe, experiencing a high-speed engine of globalisation over the last two decades. The allied existing literature discussed this issue mainly from the angles of economic expansions and integration of the global economy. However, some relevant factors like trade, financial, interpersonal and informational issues and cultural and politics should be highlighted in order to explore their possible influences on the high rate of carbon emission in the developing world under the modern epoch of globalisation. In this regard, this chapter utilises the World Bank World Development Indicators (WDI) (2020) and KOF Globalisation Index (2020) databases on selected 75 developing nations over the period of 2001–2018 to employ the dynamic panel econometric methods. The robust difference in generalised method of moments (GMM) estimates implies that trade is more harmful to high levels of carbon emissions in developing economies than all other components of globalisation.