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Growth and environment literature has gained much attention in recent times. However, the emphasis was laid on the conventional economic growth or gross domestic product at the expense of the category of growth that is evenly shared and whose social benefits are far reaching than just an increase in the overall economic pie. It is on this note that the present paper looks at the type of relationship between growth and environment with particular emphasis on growth that is all inclusive. Data are sourced from World Governance and Development Indicators (WGI and WDI) and an index of inclusive growth constructed using principal component analysis (PCA). The findings indicate that institutional quality plays a major role in enhancing growth-environmental sustainability. The results further find a new phenomenon called environmental inclusive-growth Kuznets curve (EIKC) and added to the EKC debate. That is, at the early phase of inclusive growth, environmental degradation rises as well but environmental quality improves with the rise in inclusive growth at a higher phase of the relationship. The study recommends that policymakers should encourage the economies of sub-Saharan Africa to pursue inclusive growth and not compromise it for sustainability since sustainability comes later. Institutional quality which serves as a transmission mechanism in the study can as well be used as a robust and efficient structure to avoid adverse environmental externalities of inclusive growth.

Inclusive growth is increasingly recognized as being critical to sustainable development, particularly in the context of rising income inequality and social polarization around the globe. Effective policy requires robust measurement, prompting the need to move beyond GDP and supplement traditional economic indicators. This study proposes a novel inclusive growth index (IGI) for 73 developing countries. The index is constructed using factor analysis with principal component analysis (PCA) across four pillars: economy, living conditions, equality, and governance. Our results reveal significant heterogeneity among developing countries, largely driven by variations in economic development and governance. Further analysis using OLS regression explores the impact of sectoral transformation, demonstrating a statistically significant positive relationship between shifts from the agricultural to the service sector and the IGI. These findings provide valuable insights for policymakers seeking to create more opportunities and target interventions to achieve more inclusive growth in developing economies.

Purpose United Nations’ Sustainable Development Goals—SDG 8 specifically advocates for sustained, inclusive, and sustainable economic growth, alongside full employment and decent work for all. This study aims to conduct a comprehensive bibliometric analysis of Sustainable Inclusive Economic Growth (SIEG) within the framework of SDG 8: Decent Work and Economic Growth from 2015 to 2025. It evaluates research trends, influential authors, institutions, and thematic clusters, while also identifying gaps and future research directions. Design and methodology Data was systematically extracted from Scopus using defined inclusion and exclusion criteria, following the PRISMA approach. Data were retrieved from the Scopus database (2014–2025) using a structured search string. Bibliometric indicators were analyzed through Biblioshiny (R-tool) and VOSviewer, supplemented by Lotka’s Law of Scientific Productivity and Zipf’s Law of Word Occurrence. These methods enabled the identification of co-authorship patterns, thematic evolution, and institutional contributions. Findings Findings reveal a substantial increase in research output post-SDG 8, with a notable surge after 2019, coinciding with global efforts toward the UN 2030 Agenda. China, India, and Italy emerged as the most productive countries, while “ Sustainability (Switzerland)” , published by MDPI, ranks as the leading journal in this domain. The most highly cited researchers include Bekun FV and Onifade ST from Turkey, along with Zhang X from China. A co-authorship network analysis of top countries identifies six clusters, with India leading in collaboration, contributing 63 publications. The co-occurrence network of keywords highlights dominant themes such as sustainable development and Sustainable Development Goals in relation to SIEG and SDG 8. Thematic evolution shows a shift from financial inclusion and CSR (2014–2023) toward digital economy, blue economy, employment, and entrepreneurship (2024–2025). These findings highlight the dynamic and policy-relevant trajectory of SDG 8 research. Originality Unlike prior studies that broadly examined sustainability or SDGs, this research exclusively integrates SIEG with SDG 8 using an institutional and thematic lens. By linking bibliometric insights to policy imperatives such as inclusive employment and sustainable innovation, the study bridges the gap between bibliometric analysis and actionable strategies for advancing SDG 8.

Achieving economic growth alone is no more the desire of countries across the globe. Their desire now is a level of growth affecting the poor, vulnerable and disadvantaged groups in the society. Most countries now seek to achieve inclusive growth, where economic growth affects poverty, inequality, unemployment, access to healthcare, and education. Most studies on inclusive growth concentrate on non-African economies and only a few of such studies have analysed inclusive growth, using multiple indicators like the one used in this paper. Thus, this paper assessed the nature of growth in sub-Saharan Africa (SSA), using data from the World Development Indicators. The study employed data for 10 sub-Saharan African (SSA) countries for the period of 1985 to 2014. The paper used seven indicators of inclusive growth which captured 16 variables for measuring the countries’ efforts at achieving inclusive growth for the period of the study. The study found that none of the selected countries recorded a 5% annual average growth rate of GDP per capita for the period. Also, there is an indication of the existence of high growth rate coupled with high inequality in some countries. The study recommended the need for policies to be geared towards making growth inclusive in SSA countries. The study submitted that SSA countries should make inclusive growth part of their development plans.

Equality of opportunity is the core of inclusive growth, and the inclusive growth emphasises to create employment and other development opportunities through rapid and sustained economic growth, and to promote social justice and the equality of sharing of growth results by reducing and eliminating inequality of opportunity. The main objective of the study is to measure the inclusive growth first and then empirically examine its determinants. To measure the inclusive growth, we use the methodology developed by Asian Development Bank using weights and scores of different indicators. We develop a unified measure of inclusive growth, which integrates growth, inequality, accessibility and governance into one single measure. Results show that Pakistan is at satisfactory performance level with respect to its performance in growth inclusiveness. Further results of ARDL show that macroeconomic stability and social financial deepening are important determinants to enhance the inclusiveness, and reduce poverty and inequality, while reforms in trade sector are required to increase their efficiency in terms of inclusiveness.

European Union (EU) countries pay meticulous attention to environmental issues and achieve carbon-free development. In this direction, reducing greenhouse gas emissions and extending renewable energy are the primary goals. At the same time, the energy price and declining energy efficiency increase countries’ environmental expenditures and hinder their capabilities for economic growth. Against this backdrop, this research aims to examine the influence of environmental regulations, renewable energy, and energy efficiency on green economic growth. The originality of the study is twofold: first, it evaluates the green economic growth of a country, which simultaneously reveals the options for economic growth and the capability to eliminate its negative effect on the environment by applying the Global Malmquist–Luenberger productivity index; second, it develops an econometric model based on panel data for EU countries for 2000–2020 to investigate the nonlinear impact of environmental regulations, the effect of extending renewable energies, and the growth of energy efficiency on a country’s green economic growth. The study applies the following methodology: a system generalized method of moments (GMM) analysis. The empirical results confirm the U-shape, nonlinear impact of environmental regulations on a country’s green economic growth along with a gradual increase in energy efficiency. In addition, the findings indicate that renewable energy is crucial for furthering a country’s green economic growth. At the same time, environmental regulation has a significant role in extending renewable energy. The study results could be used as the basis for implementing green economic growth for EU countries and improving the policy of carbon-free development of these countries.

Recent volatility in natural resources has prompted research on their impact on economic performance, primarily focusing on economic growth expansion rather than on the equitable distribution of this growth, known as inclusive growth (IG). Even in studies that address the impact of volatility on economic growth, the Middle East and North Africa (MENA) region remains significantly overlooked. This study aims to address this gap by examining the direct impact of natural resource volatility (NRV) on IG as well as the moderating effects of financial development (FD) and institutional quality (IQ) across 18 MENA countries from 2002 to 2021. The empirical results based on the two-step system generalized method of moment (GMM) estimation reveal that NRV consistently has a direct negative impact on IG across different specifications. FD also exhibits a direct negative impact, while IQ has a positive yet insignificant impact. When considering the moderating impact, the findings indicate that FD and IQ positively moderate the effect of volatility on IG; higher levels of FD and IQ lessen the negative impact of volatility on IG. In addition, a net negative impact for resources volatility is reported until thresholds of 103% (on a scale of 1.266–138.42%) for FD and 2.48 for IQ (on a scale of −4.709 to 3.942). These thresholds imply that mature financial systems and institutional frameworks are necessary to counterbalance the NRV curse on IG in the MENA region. Policy implications are provided to guide future strategies.

The core idea of this article is that five key characteristics— market heterogeneity, sociopolitical governance, chronic shortage of resources, unbranded competition, and inadequate infrastructure— of emerging markets are radically different from the traditional industrialized capitalist society, and they will require us to rethink the core assumptions of marketing, such as market orientation, market segmentation, and differential advantage. To accommodate these characteristics, we must rethink the marketing perspective (e. g., from differential advantage to market aggregation and standardization) and the core guiding strategy concepts (e. g., from market orientation to market development). Similarly, we must rethink issues of public policy (e. g., from compliance and crisis driven to purpose driven) and the marketing practice (e. g., from glocalization to fusion marketing).

The goals of ending extreme poverty by 2030 and working towards a more equal distribution of incomes are part of the United Nations’ Sustainable Development Goals. Using data from 166 countries comprising 97.5% of the world’s population, we simulate scenarios for global poverty from 2019 to 2030 under various assumptions about growth and inequality. We use different assumptions about growth incidence curves to model changes in inequality, and rely on a machine-learning algorithm called model-based recursive partitioning to model how growth in GDP is passed through to growth as observed in household surveys. When holding within-country inequality unchanged and letting GDP per capita grow according to World Bank forecasts and historically observed growth rates, our simulations suggest that the number of extreme poor (living on less than $1.90/day) will remain above 600 million in 2030, resulting in a global extreme poverty rate of 7.4%. If the Gini index in each country decreases by 1% per year, the global poverty rate could reduce to around 6.3% in 2030, equivalent to 89 million fewer people living in extreme poverty. Reducing each country’s Gini index by 1% per year has a larger impact on global poverty than increasing each country’s annual growth 1 percentage point above forecasts. We also study the impact of COVID-19 on poverty and find that the pandemic may have driven around 60 million people into extreme poverty in 2020. If the pandemic increased the Gini index by 2% in all countries, then more than 90 million may have been driven into extreme poverty in 2020.