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This study aims to examine the effects of industrialization, deindustrialization and financialization on Turkey’s energy insecurity by controlling the impacts of urbanization and alternative energy generation for the 1980–2018 period.

This study proposed an econometric model relying on the literature. Moreover, based on different financialization variables, this study estimated two specifications of this model using the augmented nonlinear autoregressive distributed lag approach.

The results are as follows: first, industrialization increased Turkey’s long-run energy insecurity, whereas deindustrialization did not affect Turkey’s energy security. Second, urbanization worsened Turkey’s energy insecurity. Third, financialization aggravated Turkey’s energy insecurity. Last, alternative energy generation improved Turkey’s energy security.

This study identifies the energy security’s drivers in Turkey with a focus on industrialization and financialization. Nonetheless, further research is needed on other emerging economies with high energy insecurity levels, and a disaggregated approach can be followed to examine how various industrial sectors impact energy security.

To combat energy insecurity, quantifiable, innovative and energy-efficient goals should be set for Turkey’s industry sector. Additionally, to achieve these goals, financial opportunities should be provided by reforming the financial sector. This reformative approach can also curb financialization’s negative effect on Turkey’s energy security.

Deindustrialization is not a solution to Turkey’s energy insecurity. Also, unless necessary actions are taken, industrialization, financialization and uncontrolled urbanization may continue to threaten Turkey’s energy security. Finally, promoting alternative energy generation seems to be a viable long-run solution to energy insecurity.

Although a significant number of studies investigated industrialization’s and financialization’s impacts on energy demand or environmental damage, only a few studies examined their impacts on energy insecurity. Similar to other developing nations, as Turkey is facing chronic energy security problems, the author believes that the analysis provides important policy insights regarding energy (in)security’s drivers. By differentiating the impacts of industrialization and deindustrialization, this study also shows that deindustrialization may not be a proper solution to deal with energy insecurity.

This study has incorporated competitiveness by considering it a significant factor behind determining as well as moderating industrial value added in the environmental Kuznets curve (EKC) framework. This study aims to explore the moderating role of competitiveness policy in EKC with an aim to promote business led sustainability at national level.

Considering the environmental deterioration aspect of industrialization, this study tests the existence of EKC for SAARC countries using the data from 1996 to 2021 using second-generation static panel data model.

Estimated results have validated that moderating effect is responsible for improving environmental sustainability in SAARC countries. Furthermore, population density is responsible for increasing while trade openness is responsible for decreasing carbon emissions.

Higher industrial activities are a symbol of upward-moving economic growth. But its other impact is in the form of environmental deterioration. However, the relationship between industrialization and environmental quality can be identified through EKC.

The purpose is to market a reinterpretation of Brazilian economic history highlighting the importance of non-tradable goods to understand major historical developments such as the lack of industrialization in the mining boom; the rise and contribution of industries to development in the early 20th century; indexation as hyperinflation in the late 20th century; growth and cycles in the early 21st century.

Section 2 introduces analytical perspectives on the relationship between non-tradables, transport costs and external shocks. Section 3 presents a historical overview of the gold and coffee cycles in the Brazilian economy, which highlights the crucial role played by transport costs in the genesis of industrialization. Thus, in a more precise way, industrialization was not an import substitution process but the substitution of non-tradables by the domestic tradable manufactures.

Section 4 shows that Brazilian statistical records and historiography disregard this characterization and, to that extent, underestimate economic growth in the primary export phase (1872–1920) and overestimate growth rates in the industrialization period (1920–1940). Section 5 shifts to the end of the 20th century to analyze the relationship between non-tradables, indexation and hyperinflation. Section 6 concludes with a brief discussion of the role played by the terms of trade and non-tradables in the unfolding of the 2014 economic crisis.

Distance from international markets and a continental geographic size made transport costs in Brazil historically prohibitive: the relevance of non-tradables in the Brazilian economic history. While the theme is not new, it seldom received proper attention in the historiography.

Modern renewable energy is crucial for environmental conservation, sustainable economic growth and energy security, especially in developing East African nations that heavily use traditional biomass. Thus, this study aims to examine urbanization and modern renewable energy consumption (MREC) in East African community (EAC) while controlling for gross domestic product (GDP), population growth, foreign direct investment (FDI), industrialization and trade openness (TOP).

This study considers a balanced panel of five EAC countries from 1996 to 2019. Long-run dynamic ordinary least squares (DOLS) and fully modified ordinary least squares estimations were used to ascertain the relationships while the vector error-correction model was used to ascertain the causal relationship.

Results show that urbanization, FDI, industrialization and TOP positively affect MREC. Whereas population growth and GDP reduce MREC, the effect for GDP is not that significant. The study also found a bidirectional causality between urbanization, FDI, TOP and MREC in the long run.

Investing in modern renewable energy facilities should be a top priority, particularly in cities with expanding populations. The governments of the EAC should endeavor to make MREC affordable among the urban population by creating income-generating activities in the urban centers and sensitizing the urban population to the benefits of using MREC. Also, the government may come up with policies that enhance the establishment of lower prices for modern renewable energy commodities so as to increase their affordability.

MREC is a new concept in the energy consumption literature. Much of the research focuses on renewable energy consumption including the use of traditional biomass which contributes to climate change negatively. Besides, the influence of factors such as urbanization has not been given significant attention. Yet urbanization is identified as a catalyst for MREC.

The purpose of this paper is to provide scientific guidance for the integration of industrialization and information (TIOII). In recent years, TIOII has promoted the development of intelligent manufacturing in China. However, many enterprises blindly invest in TIOII, which affects their normal production and operation.

This study establishes an efficiency evaluation model for TIOII. In this paper, entropy analytic hierarchy process (AHP) constraint cone and cross-efficiency are added based on traditional data envelopment analysis (DEA) model, and entropy AHP–cross-efficiency DEA model is proposed. Then, statistical analysis is carried out on the integration efficiency of enterprises in Guangzhou using cross-sectional data, and the traditional DEA model and entropy AHP–cross-efficiency DEA model are used to analyze the integration efficiency of enterprises.

The data show that the efficiency of enterprise integration is at a medium level in Guangzhou. The efficiency of enterprise integration has no significant relationship with enterprise size and production type but has a low negative correlation with the development level of enterprise integration. In addition, the improved DEA model can better reflect the real integration efficiency of enterprises and obtain complete ranking results.

By adding the entropy AHP constraint cone and cross-efficiency, the traditional DEA model is improved. The improved DEA model can better reflect the real efficiency of TIOII and obtain complete ranking results.

The purpose of this study is to analyze the two-way causal nexus between macroeconomic factors such as foreign aid, industrialization, economic growth, population growth, urbanization, control of corruption and the infrastructure development index of the top-ranking African countries from 2003 to 2018.

The study adopts various econometric tools such as cross-sectional dependence test, panel unit root and cointegration test and Dumitrescu and Hurlin panel Granger causality test in ascertaining the relevant relationships between the variables under consideration.

The main findings of the Granger causality test result revealed a bidirectional causal relationship between foreign aid and infrastructure and between urbanization and infrastructure. The study also found unidirectional causality running from population growth to infrastructure while a zero causal relationship existed between industrialization and infrastructure, economic growth and infrastructure and lastly, between control of corruption and infrastructure. The study concludes that the major macroeconomic factors that influence infrastructure development in these selected African countries are foreign aid, population explosion and urbanization. Also, their high infrastructure development index has causal influence in only attracting more foreign aid and also promoting urban expansion.

To the best of the author's knowledge, the study is unique as it is the first to determine the two-way causal nexus between macroeconomic factors and infrastructure development using a sample of the top ten African countries in infrastructure ranking. The findings reflect the current situation in Africa.

This study aims to identify the various economic and non-economic determinants of renewable energy consumption (REC) in Brazil, Russia, India, China and South Africa (BRICS). Due to the adverse effect of carbon emission on the environment, every country is trying for a transition from fossil fuel towards renewable energy. Renewable energy plays a crucial role in reducing carbon emission and combating climate change. Understanding the determinants that influence REC helps to promote this transition.

The study is based on an unbalanced panel data over the period 2002–2019 for all five BRICS nations. The panel corrected standard error (PCSE) method has been adopted to examine the determinants of REC.

Industrialization, population growth and foreign direct investment (FDI) are found to be significant economic determinants of REC while patent on environmental technologies, political instability and industrial design are significant non-economic determinants of REC in the BRICS nations.

The findings imply that to increase REC in BRICS nations, policymakers should incentivize industries for investments in renewable energy, attract FDI aligned with environmental regulations, raise population awareness through training, enforce industrial design standards, establish fair technology transfer frameworks to overcome patent barriers and create stable, long-term renewable energy policies with risk mitigation instruments to address political instability.

The study captures the effect of patents on environmental technologies and industrial design on the consumption of renewable energy. Thus, the novelty lies in investigating unexplored variables in the previous literature likely to affect REC.

The study examines the presence of the pollution haven or pollution halo hypothesis in Brazil, Russia, India, China and South Africa (BRICS) and Next-11 economies. Hence, it empirically tests the direct impact of foreign direct investment (FDI) on the ecological footprint. Further, it explores the moderating role of green innovation on the nexus between FDI and ecological footprint.

The study uses the Driscoll–Kraay (DK) standard error panel regression technique to examine the long-run elasticities amongst the variables for the group of emerging countries, BRICS and Next-11, during the period of 1992 to 2018. Further, statistical robustness is demonstrated using the fully modified ordinary least squares technique.

The empirical finding shows that FDI degrades environmental quality by raising the ecological footprint. Thus, it proves that FDI is a source of pollution haven in BRICS and Next-11 countries. However, green innovation negatively moderates the relationship between FDI and ecological footprint. That means the joint impact of green innovation, and FDI proves the presence of the pollution halo hypothesis. Further, renewable energy consumption is reducing the ecological footprint, but economic growth and industrialisation are worsening the environmental quality.

This study offers policy implications for governments and policymakers to promote environmental sustainability by improving green innovation and allowing FDI that encourages clean and advanced technology.

No prior studies examine the moderating role of green innovation on the relationship between FDI and ecological footprint in the context of emerging countries.

The integration of the digital economy and the real economy has been a key focus in promoting digital economic development. It denotes a comprehensive digital transformation of national economic activities regarding technological infrastructure and production modes, which is crucial for establishing a modern economic system, advancing industrial infrastructure and modernizing industrial chains.

Firstly, the study delves into the internal logic behind the emergence of the new development dynamic resulting from digital technology's evolution. Secondly, it explores the mechanism of mutual promotion and support between the new development dynamic and the digital economy based on China's shift in focus from international engagement to the domestic economy during different stages of industrialization. Subsequently, it analyzes the characteristics and critical factors of digital economy development and examines the macro-, meso- and micro-level constraints on these factors. Finally, the paper explores approaches to promoting digital economy development while constructing the new development dynamic and provides relevant policy suggestions.

The construction of the new development dynamic and the development of the digital economy are inextricably linked, and only by mutually reinforcing each other can they provide an inexhaustible impetus for China's high-quality economic development.

The new development dynamic and the digital economy development form an indivisible whole. The new development dynamic creates the necessary conditions for digital economy development and promotes the formation of digital production modes. In turn, the development of the digital economy should strive to improve the mainstay position of the domestic economy, enhance the synergy between the domestic economy and international engagement, upgrade value chains while improving the supply and the industrial chains in China and ensure a parallel increase in labor income alongside improved productivity.