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A key strategy for social development and sustainable urban expansion is building sustainable and affordable transport systems. In this study, we aim to test the validity of the environmental Kuznets curve (EKC) hypothesis and reveal the impact of infrastructure investment in transportation systems in China, Turkey, India, and Japan over the period 1995-2020 on environmental degradation. According to dynamic ordinary least squares (DOLS) method analysis, per capita GDP and per capita GDP 3 have a significant positive impact on per capita CO 2 emission, while per capita GDP 2 has a significant adverse impact on per capita CO 2 emission. These results confirm the validity of the N-shaped EKC assumption, while inconsistent with the results of the FMOLS technique, showing that per capita GDP is significantly positive, while per capita GDP 2 and per capita GDP 3 have a significant negative impact on per capita carbon emissions. Moreover, as clarified by the fully modified ordinary least squares (FMOLS) and DOLS methods, road infrastructure investment (RO), aviation infrastructure investment, trade openness, and foreign direct investment (FDI) have significant positive effects, while railway infrastructure investment (RA) has a significant negative effect on per capita carbon emission. Country-level estimates of per capita carbon emission-based DOLS strategies in the model show that only China and Japan have N-shaped EKC hypothesis. Road infrastructure investment, aviation infrastructure investment, and trade openness have significant positive effects, while railway infrastructure investment has a significant negative effect on per capita CO 2 emission in selected central and east Asian countries. The latest electrified rail systems are well thought out and less polluting, so the contribution of rail infrastructure investment to the transport mix can support sustainable and safe transport systems at city center and intercity levels and reduce environmental pollution in central and east Asian countries. Moreover, the implementation of the basic environmental settings of trade agreements should be strengthened to condense the growing impact of free trade on environmental pollution., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

In recent years, environmental issues have become controversial, and policymakers are discovering new predictors of carbon emissions. Some economists/researchers have advocated for fiscal decentralization to improve the quality of the environment by offering more financial authority to provincial/local and sub-national governments. Therefore, this work aims to inspect the effect of fiscal decentralization on economic growth and environmental quality in India by taking data from 1996 to 2021. This work applies both ARDL and NARDL econometric models for empirical examination. The findings of this study suggest that expenditure decentralization has asymmetric long-term and short-term consequences on economic growth, and carbon emission in India. The result of the asymmetric ARDL model also indicates that positive and negative shock in expenditure decentralization contrarily affects economic growth and carbon emission. Moreover, the positive and negative shock in revenue decentralization helps in reducing carbon emissions both in the long run and short run in India. These outcomes are useful for policy analysis from the Indian economic policy perspective. The study also laid out potential outcomes that may benefit India's local governments and central government in resolving the issues of economic growth and environmental degradation., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Green growth refers to the economic growth strategy, which is less detrimental to natural assets, predominantly the environment. Therefore, the main motive of investment and innovation activities should be to attain economic growth while sustainably utilizing natural assets. In this regard, we aim to explore whether ICT diffusion and financial development matter for attaining green economic growth in BRICS economies. The long-run autoregressive distributed lag (ARDL) results show that internet development exerts a positive influence on green growth in four BRICS economies excluding India. However, the long-run estimates of mobile cellular subscriptions are positive only in Russia and China. On the other side, the increase in bank credit and insurance premium also contributes to the long-run green economic growth in almost all BRICS economies. Policymakers should focus on the increased use of ICT in the economy that would replace the physical resources in the economy with information resources. Besides, financial services should be provided to individuals and small and medium enterprises involved in green consumption and production activities., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Climate action got attention from the United Nation's Sustainable Development Goals (SDGs). Although a large number of studies are investigating the said phenomenon, however, the literature on the top five responsible countries is unable to evaluate the role of environment-related technologies (ERTs) and institutional quality (IQ). The top five consumption-based carbon dioxide (CBCO 2 ) emitting economies, i.e., China, India, Japan, Russia, and the USA, are considerable stakeholders in this challenge. To fill this void, with the latest data available from 1992 to 2017, short- and long-run relationships are estimated with dynamic common correlated effects estimator and augmented mean group in the framework of EKC hypothesis. Reported results indicate the negative effect of ERTs and IQ towards CBCO 2 , which means that adoption of ERTs and better IQ is supportive in controlling environmental degradation. Findings are also robust to the policy implications for the UN's SDGs., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The main objective of this paper is to look at how environmental degradation in the form of climate change and air pollution affect international tourism for five countries such as Brazil, Russia, India, China, and South Africa (BRICS) over the years 1990-2019. Other independent variables include information and communication technology (ICT) and democracy. We also look at the role of environmental regulation to see the validity of porter hypothesis in the tourism sector. To achieve this objective, we apply a novel method of moments quantile regression approach as well as a robust causality technique. The result shows that at lower and medium quantile, CO 2 emission has positive impact on tourism while at higher quantile, CO 2 emission has negative but insignificant effect on tourism in BRICS countries. The result for PM2.5 is uniform across all the quantiles, showing the negative effect on tourism. ICT and human capital positively affect the tourism while democracy has negative impact on the tourism sector of the BRICS nations. The result also validated the Porter hypothesis for tourism sector. We conclude that tourism industry stakeholders and the environmental policymakers must work together to integrate tourism policies with BRICS countries' environmental conservation policies as part of the transition to sustainable tourism industry., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Environmental sustainability concerns are growing worldwide. Many recent studies have focused on key indicators of CO2 emissions, but less consideration has been given to human capital. This study examines the impact of human capital on CO2 emissions in Brazil, Russia, India, China, and South Africa (BRICS) economies from 1991 to 2019 using a nonlinear panel autoregressive distributed lag approach. Findings show that positive change in education has reduced CO2 emissions, while a negative change in education has increased CO2 emissions in the long run in a group of BRICS. Regarding economy-wise analysis, a positive change in education reduces CO2 emissions in Russia, China, and South Africa in the long run, but a negative change in education has an increasing impact on CO2 emissions in Brazil and China. The results of robustness are also maintained in group and economy-wise empirical analysis. Policymakers should develop the education sector infrastructure in order to support the decrease of CO2 emissions., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study investigates the effect of financial development and economic growth on ecological footprint by including non-renewable energy consumption and trade openness as additional determinants. For this purpose, annual data of 10 countries with the highest ecological footprint (China, the USA, India, Japan, Brazil, Indonesia, Mexico, Korea, Turkey, and the UK) for the period 1992-2017 is used. The Westerlund and Edgerton (2007) Panel LM bootstrap test results reveal that there is cointegration between the variables. Additionally, the results obtained from the Common Correlated Effects (CCE) coefficient estimator show that financial development, economic growth, and non-renewable energy consumption negatively affect environmental quality by increasing ecological footprint. On other hand, the effect of trade openness on ecological footprint is found to be statistically insignificant. In addition, according to the panel causality test results, a unidirectional causality from financial development to ecological footprint is found while bidirectional causality between economic growth and ecological footprint exists. Therefore, it would be beneficial for policymakers in such countries to direct financial resources to green energy production and consumption and to encourage projects and practices., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

With rapid economic growth, BRICS is facing enormous burdens of carbon emission and severe issues of income inequality. However, behind this economic success, the BRICS economies also face few thoughtful challenges to improve environmental quality by catching up the sustainable development goals. Consequently, the existing empirical research is concerned with the dynamic links between income inequality and CO 2 emissions by using the novel nonlinear ARDL approach, but small attention has been paid to the BRICS in literature. Therefore, we observed that a negative and positive change in income inequality has positive effect on CO 2 emissions in Russia and South Africa in the long run, although a positive change in income inequality has positive effects on CO 2 emissions in Brazil, Russia, and China, while a negative change in income inequality has negative effect on CO 2 emissions in India, Brazil, and Russia in the short run. Hence, the findings value specific attention from policymakers in BRICS economies., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

A key factor in social development and sustainable urban expansion is the establishment of sustainable and affordable transport systems. This study aims to investigate the impact of transport infrastructure investment on environmental degradation and economic growth and to test the validity of the EKC hypothesis in China, India, Russia, and Japan over the period 1995-2020. The results show that GDP has a significant positive effect, and GDP 2 and GDP 3 have significant adverse effects on environmental degradation, respectively. These results confirm the validity of the inverted U-shaped EKC hypothesis in selected emerging Asian economies. Rail infrastructure investment has significant adverse effects, while road infrastructure investment and aviation infrastructure investment have significant positive effects on environmental degradation. Likewise, the impact of investment in transport infrastructure system (roads, rail, and aviation) on economic growth is positive and statistically significant. Country-level estimates confirm the validity of the inverted U-shaped EKC hypothesis in China, India, and Russia, while the N-shaped EKC is only valid in Japan. Investments in rail infrastructure based on modern rail systems that run on electricity are believed to be less polluting in the transport mix, help create sustainable and safe transport systems, and reduce emissions at the urban and intercity levels in emerging Asian countries. In addition, the growing impact of free trade on environmental pollution should be strengthened to harmonize the strict enforcement of environmental conditions dominated by trade agreements., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Since developing countries experience economic and environmental sustainability challenges, it is desirable digging into the linkages between economic and environmental parameters. The purpose of this work is to evaluate the existence of the environmental Kuznets curve (EKC) theory (i.e., the inverse U-shape connection between real GDP per capita and per capita carbon dioxide emissions) in the sample of 11 developing countries. By using balanced annual panel data in the period between 1992 and 2014 and two alternative estimation techniques, we explored the potential inverted U-shaped linkage between carbon dioxide emissions and real GDP per capita in the sample of interest. For analysis purposes, Pedroni and Westerlund co-integration techniques are employed. Then, fully modified ordinary least squares, pooled mean group methods are applied for long-run parameter estimations. And, the Dumitrescu-Hurlin causality approach is employed for causal directions. Firstly, this work's findings provide the supportive evidence to the inverse U-shaped linkage in the long-run, indicating that an increase in real GDP per capita and electricity consumption tends to mitigate long-run carbon dioxide emissions in the developing countries, for the whole sample. Secondly, the country-specific findings suggested the presence of EKC theory for Brazil, China, India, Malaysia, the Russian Federation, Thailand, and Turkey. It implicated that these countries are on the path of attaining environmental sustainability in the long-run. However, Mexico, Philippines, Indonesia, and South Africa failed to lend credence to the EKC theory. It manifested that these countries need to design strategies directed to reduce carbon dioxide emissions from economic activity and electricity generation through efficiency improvement or promotion of renewables. Finally, bidirectional causal links are observed among all the variables of interest. The findings suggest that country-specific targeted action plans should be implemented to ensure the environmental sustainability in the developing world.

This study explores the relationship between remittances received, education expenditure, energy use, income, poverty, and economic growth for a panel of the nine selected remittance-receiving countries (Bangladesh, China, Egypt, India, Indonesia, Mexico, Nigeria, Pakistan, and Philippines). World Development Indicator database is used for retrieving data from the period of 1990 to 2014. Panel cointegration technique is used to test the long-run relationship among studied variables. Furthermore, the autoregressive distributive lag (ARDL) model is applied to confirm the presence of a long-run and short-run relationship. The findings of the ARDL model indicate that remittances received positively influence economic growth, and there is a significant relationship between remittances received and economic growth during the long-run. Education expenditure, energy use, and income also positively and significantly impact economic growth during the long-run. In contrast, final household consumption used in this study as a proxy of poverty showed a significant negative effect on economic growth during the long-run, which indicates that increasing poverty will reduce economic growth; on the other hand, reducing poverty will boost economic growth in the selected countries during the long-run.

China and India are the largest coal consumers and the most populated countries in the world. With industrial and population growth, the need for energy has increased, which has inevitably led to an increase in carbon dioxide (CO 2 ) emissions because both countries depend on fossil fuel consumption. This paper investigates the impact of energy consumption, financial development (FD), gross domestic product (GDP), population, and renewable energy on CO 2 emissions. The study applies the long short-term memory (LSTM) method, a novel machine learning (ML) approach, to examine which influencing driver has the greatest and smallest impact on CO 2 emissions; correspondingly, this study builds a model for CO 2 emission reduction. Data collected between 1990 and 2014 were analyzed, and the results indicated that energy consumption had the greatest effect and renewable energy had the smallest impact on CO 2 emissions in both countries. Subsequently, we increased the renewable energy coefficient by one and decreased the energy consumption coefficient by one while keeping all other factors constant, and the results predicted with the LSTM model confirmed the significant reduction in CO 2 emissions. Finally, this study forecasted a CO 2 emission trend, with a slowdown predicted in China by 2022; however, CO 2 emission's reduction is not possible in India until 2023. These results suggest that shifting from nonrenewable to renewable sources and lowering coal consumption can reduce CO 2 emissions without harming economic development., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper looks into the key aspects of the shift in the instruction of logistics as a discipline from traditional to environmentally responsible practices. The authors examine the experience of the development of scientific-educational systems in the world's more advanced societies (the European Union and North America), as well as in the BRICS countries. The paper proposes specific ways to reform the model for professional and career-broadening education by reference to the amassed global experience. The authors draw the following major conclusions: (1) both today's scientific and business communities are oriented toward the shift to environmentally responsible development, which presupposes gradually renouncing the use of hydrocarbon energy resources, embracing the use of renewable technology and recycling, and ensuring social stability; (2) we are witnessing a change in the tenor of not only the strategic concept of the development of particular scientific and business areas but of the functional one as well. Thus, for instance, the domain of logistics services is currently being enriched with the concept of "green logistics", which implies a need for relevant human resources specializing in the field. Many leading nations have already started transforming their education models, as a whole, and their methods for the instruction of logistics as a discipline, in particular, in specific alignment with the principles of environmental responsibility; (3) the education systems of certain world powers, including the Russian model for education, have not yet been fully adapted for shifting to "green logistics", one of today's latest scientific paradigms. Among the major reasons behind this delay is the failure to properly reform the scientific-educational sector, as well as the state's excessive, and rarely effective, participation in the development of this area. To help remediate this situation, the authors propose a set of recommendations aimed at helping to put together a new model for professional and career-broadening training in keeping with the latest scientific concepts and the needs of the labor market.

India and China are two fast growing economies of the world and need large skill based manpower to sustain the economic growth. The existing formal higher educational system in these countries will not be able to meet the demand of the economy. The paper will try (i) to compare the development of economy and distance education in India and China with reference to policy perspectives; (ii) to examine the course design, development and delivery of distance education programmes in national open universities of India and China i.e. Indira Gandhi National Open University of India (IGNOU) and Open University of China (OUC); (iii) to analyze the trend of enrollment in IGNOU and OUC; and (iv) to compare the recognition /accreditation and quality control process of distance learning in both these countries. The paper highlights the policy strategies of two countries towards quality control mechanism as par with conventional system.

South Asian economies has witnessed very slow growth over the years and the gap has widened manifold between other nations of Asia particularly East Asian nations and South Asian nations. This paper examines co-integration between the economic growth and reach of higher education in South Asian nations explaining this disparity. The research employed an econometric panel co-integration investigation to analyse the long run relationship of higher education and economic growth among these nations. The research confirmed positive long run causality between the economic growth of the South Asian nations and gross enrolment ratio of higher education. So, if the South Asian nations continue with their existing pattern of paying less attention to higher education by allocating low share of investment on it, poor human capital formation would result in growing further economic disparity between developed and South Asian nations where rich nations would remain richer and poor nations would remain poor with the gap remaining unabridged. This research will serve as an aid to policy makers, educators and financers of South Asian nations to bridge the gap between high- and low-income nations. The focus on the quantum of spending on higher education by the government will help improve the reach of tertiary education and build economic prosperity in these nations.

This study examines links between Morgan and Stanley capital Investment (MSCI), foreign direct investment (FDI), renewable energy, urbanization, and trade openness on environmental degradation in (Brazil, Russia, India, China, South Africa) BRICS countries. In this study, generalized method of moment (GMM) estimation is applied on a data set ranging from 1993 to 2018. Results illustrate that stock market index price (MSCI) has negative relationship on CO 2 emissions in India, China, Russia, and South Africa and has positive relationship in Brazil. One possible reason for this is strong environmental regulations and their enforcement by Brazilian government. The study also finds that trade openness, FDI, and urbanization have a significant positive relationship on environmental degradation. The impact of stock market development on environmental degradation varies among BRICS countries. Our outcomes have significant policy implications. For example, the policy makers have to initiate effective strategies to promote the renewable energy sources to meet the increasing demand for energy by replacing the use of conventional energy such as coal, gas, and oil. This will help to reduce the CO 2 emissions from fossil fuel and ensure sustainable stock market development in the BRICS nations. BRICS countries who have taken the initiative and formulated policies for businesses to conserve the environment play a positive role compared to those who do not.

Purpose: The study aims to explore the extent to which human resources development quantifies the economic growth of BRICS countries under the globalization era by controlling country differences. Design/methodology/approach: The study used the Generalized Method of Moments (GMM) and Scheffe pairwise comparison tests to quantify the impact of the variables and the level of difference among the BRICS countries onto human Resources development. Findings: The study observes that the impact of human resources development on economic growth of BRICS counties is significant but limited to few countries. The study reveals that countries such as India and South Africa are unable to utilize their human resources efficiently to promote economic growth, as compared with Russia, China and Brazil. The study further argues that there is urgent need of amalgam of various economic development theories keeping in mind the regional needs to extract the positive impact from human resource on economic development. Research limitations/implications: The single limitation of this research is that it was not possible to compare the results with other developing countries to unleash the capabilities of human resources development with regard to economic growth at the universal level. Originality/value: To the best of the authors' knowledge, this paper is the first of its kind to analyze human resources development at a much deeper level. The paper has chosen variables which are important from the policy perspective of government rather than the working perspective, which is a great contribution. Further, for human index the variables chose covering major aspects of human development from spending perspective.

The primary purpose of this paper is to review and evaluate the causes of educational poverty in less developed countries. The basic intent in carrying out such a study is to define and derive the role of governing agencies in deliberately creating educational poverty in the country, so that the private interest of the rich and powerful ruling class can be fully safeguarded. This study is of crucial interest to the common man because majority of the people living in less developed countries are poor in spite of the fact, that almost all these countries own ample human and material resources. However, the common man in these countries is continuously suffering, generation after generation, and has been denied access to basic amenities of life. The rich and powerful ruling class, in majority of the less developed countries, has intentionally denied basic education facilities to its people for keeping them ignorant and unaware of their fundamental rights to share national resources and to gain competence for comfortable living in the society. The paper advocates a complete reversal in economic growth policies of the less developed countries so that top priority is given to those projects and programs that directly benefit the common man in the society. In this respect, the author calls for awareness among the people to exercise their economic and social rights so that people of all the strata can share equally the fruits of growth and prosperity.

How much is hegemony and how much is self-determination in the higher education systems in Southeast Asia? This paper argues that while the question of centre and periphery is still relevant to the analysis of international university systems, the analytical frameworks from which it has arisen may lose viability in the long term. Southeast Asian states are making use of higher education to act in ways that will contribute to the altering of their peripheral position in the global economic and political system. While changes in Southeast Asian higher education are closely tied to global markets and follow what sometimes appears to be a dependent pattern of adaptations driven by Western developed economies, the paper argues that there is also a significant amount of resistance. As Southeast Asian countries adapt in ways that help embed economic globalisation within their national landscape, the manner in which the adaptation occurs is more selective, open, and democratic than before. Moreover, while global communication with core (centre) university systems has been more open and transparent, the system is closed to direct intervention from the outside, making hegemony a less plausible explanation for the manner in which the system is reacting within the new global environment of financial interdependency.

Purpose: The purpose of this paper is to evaluate and determine the effectiveness of university education on the economy of various countries. Design/methodology/approach: To determine the necessity and expedience of making provision for the effectiveness of university education on the market economy, this work uses the method of regression and correlation analysis. Evaluation of effectiveness of the system of university education is performed separately for students, state, and employers by taking as example countries with specially developed formulas. Findings: The authors substantiate the necessity for provision of effectiveness of university education on the market economy, view the effective system of university education as a basis for the development of a knowledge economy, determine approaches to evaluate the effectiveness of university education on the market economy, perform evaluation of effectiveness of the system of university education by the example of various countries, determine its connection with indicators of economic growth and development, and provide recommendations for provision of effectiveness of the system of university education on modern market economies. Practical implications: The practical value of results of the conducted research consists in the possibility to use the developed formulas for determining the level of effectiveness of the system of university education on various countries of the world. Originality/value: Theoretical value of this paper consists in the possibility for the application of authors' conclusions and recommendations in the process of development of the policy of management of effectiveness of university education system.

Growth is a concept of particular interest for economic discourse. This paper sets out to explore a small corpus of economic growth, which consists of articles from "The Economist". The corpus software used in this study is a web-based tool Wmatrix, an automatic tagging software able to assign semantic field (domain) tags, and to permit the extraction of key words and key semantic domains by applying the keyness calculation to tag frequency lists. The results show that at 99% confidence (or p < 0.01), the cut-off of 6.63 (log likelihood value) indicates that there are 1051 positive keywords (including multiword expressions) and 80 key semantic domains generated from the corpus. It is evident that BRICs or the emerging economies/markets, in particular China and India, are a big concern regarding economic growth over the past years. A number of examples of possible ways forward in teaching methodology are presented.

Purpose: The purpose of this paper is to systematically examine and draw attention to the potential benefits of solar power generation for access to and use of information and communication technologies (ICT) aimed at sustainable development in emerging economies. Design/methodology/approach: Electricity plays a crucial role in the development and use of ICT and in the process of striving to achieve sustainable development in emerging economies. It has been shown that electrical energy is intrinsically linked to economic, environmental and social dimensions of sustainable development. An extensive analysis of the major contribution of solar electricity in various sectors such as economic, social and environmental benefits is provided. The paper concludes with a discussion on current status of solar electricity in major emerging economies, their planning policies and strategies for promoting solar power generation for increased access to ICT by people and sustainable development of society. Findings: The demand for electricity in residential, commercial and industrial sectors in developing countries (emerging economies) is likely to increase, both as a result of increase in population and expanding industrialization. It remains amongst others, a growing challenge for these nations to obtain and put in place reliable and secured electricity supplies, for accessing ICT and to work towards achieving sustainability. The important issues that must be considered and addressed for the successful implementation of solar electricity programs for sustainability and wellbeing in developing nations are pointed out. Practical implications: The paper shows that the problems of lack of qualified solar technicians and established Photovoltaic (PV) markets and business modes, renewable (solar) energy education have to be addressed. Other issues include appreciation of solar electricity as one of the major energy component, lowering initial cost of the PV technology, availability of finance mechanisms for customers, import tax exemption and regarding electricity as one of the basic needs like food, shelter and clothing. Overhaul of existing systems needs to take place in order to provide the means to deal with some of these issues. Originality/value: Availability of power remains crucial for development in emerging markets. Solar electricity is of major interest for the energy sector in developing or emerging economies because it offers the possibility of generating renewable electricity using sunlight: a resource that is widely and freely available in most, if not all, developing countries. This paper raises awareness about this in a unique way and identifies problems faced by the sectors. To address some of these challenges without compromising the goal of sustainability and development, it is important that low carbon emitting electrical energy sources such as solar electricity are given high priorities by policy makers, industries and research and development institutions in emerging countries. Some innovative suggestions are provided for achieving this. (Contains 1 figure and 1 table.)

The Food Safety Knowledge Network (FSKN) is a collaboration between Michigan State University, the Global Food Safety Initiative of the Consumer Goods Forum, and other food industry and public sector partners. FSKN's goal is to help strengthen the food industry's response to the complex food safety knowledge and training challenges that affect emerging markets by providing free access to high-quality, standardized learning resources. The resources were designed to be available on demand and as a structured learning experience which can support face-to-face training and fully online training. The pilots thus far have shown that participants in FSKN training demonstrate a significant increase in knowledge. The paper will share the processes used to set up an efficient open educational resources initiative including understanding licensing, using open software, establishing competencies and working with corporate and other international partners. (Contains 2 figures.)

This paper briefly introduces Early Intervention (EI) issues in five countries including Zimbabwe, Poland, People's Republic of China (PRC), India, and the United States of America (USA). In the overview section the national background, including religious, socio-economic development, and political systems, its policies, laws and acts, are delineated, since all of these factors combine together to impact the EI development in each specific country. Next, different approaches used in these five countries are introduced and compared. Lastly, a matrix is used to contrast EI development in five countries. In conclusion the author, taking into account cultural norms and other issues, points out strengths and weaknesses in each country and suggests ways in which countries might benefit from others practices and experiences. (Contains 1 figure.)

Developing nations including Bangladesh are significantly lagging behind the millennium development target due to the lack of science, technology and engineering education. Bangladesh as a least developing country has only 44 engineers per million people. Its technological education and gross domestic product growth are not collinear. Although limited progress was made in humanities, basic sciences, agriculture and medical sciences, a vast gap is left in technical and engineering education. This paper describes the present condition of engineering education in the country and explores ways to improve engineering education in order to meet the national as well as global skills demand. (Contains 3 tables and 7 figures.)

The current study projects the increase in surface temperature and CO 2 emissions using the EGM (1,1, α, θ) grey model for the six most significant CO 2 contributing countries, namely China, the USA, India, Russia, Japan, and Germany. The study uses time series data for surface temperature (in degree celsius) from 2010 to 2020, and CO 2 emission (metric tons per capita) data from 2009 to 2019. The empirical results show a downward trend in CO 2 emissions from Japan, Germany, the USA, and Russia by 2028. However, in the same time period, CO 2 emissions are expected to increase for India and remain nearly constant for China. This study indicates an increase in surface temperature at a significant rate in all the 6 countries: by 6.70 °C for China, 7.52 °C for Germany, 2.95 °C for India, 2.66 °C for Japan, 3.61 °C for Russia, and 13.48 °C for the USA by the end of 2028. The study compares the EGM (1,1, α, θ) grey model with the general EGM (1,1) grey model and finds that the EGM (1,1, α, θ) model performs better in both in-sample and out-of-sample forecasting. The paper also puts forward policy suggestions to mitigate, manage, and reduce increases in surface temperature as well as CO 2 emissions., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper discusses the transition from a national focus on food security during the last half of the 20th century to an emerging strategy on helping small-scale farm households increase farm income to reduce rural poverty. The basic proposition is that if extension is going to help increase farm incomes and rural employment, then it must shift from being a "supply-driven" to a more "market-driven" extension system. This shift requires at least three major institutional changes. First, extension must give higher priority to high-value, labor-intensive crops/products where there is real demand in domestic and/or export markets. Second, small-scale producers must get organized into groups to achieve economies of scale and to become linked with the "value chains" that supply these markets. Third, extension planning and decision-making must become decentralized to determine the most suitable crops and/or enterprises vis-a-vis the interests and resources of different farmer groups, in light of agro-ecological conditions and available markets for different products.

The article presents a study that explores the role of export processing zones (EPZs) in the trade and economic development of countries. It first provides an overview on the use of EPZs, and presents case studies from China, India and Russia that illustrate new trends and policies in such processing zones. It then offers a review of the economic costs and benefits of export processing zones and how EPZ policies relate to trade rules. The relationship between EPZs and the World Trade Organization (WTO) Agreements was also examined, and the treatment of EPZ in Regional Trade Agreements (RTAs) was discussed. The report concludes that EPZs are suboptimal policy from an economic point of view, and can only provide interim solution to developing countries.

This paper scrutinizes the asymmetric impact of education and education expenditure on clean energy consumption and CO2 emissions in the BRICS economies using annual data for the period 1991-2019. The analysis employs a nonlinear autoregressive distributed lag (ARDL) framework. Findings unfold that a positive change in education contributes to increasing clean energy consumption in Brazil, Russia, India, and China. This finding implies that a negative change in education contributes to reducing clean energy consumption in Brazil, Russia, and India in the long run. Nonetheless, a positive change in education expenditure increased the clean energy consumption in Brazil, Russia, and India, while it has decreased in South Africa. On the dark side, a negative change in education expenditure degrades clean energy consumption in India, China, and South Africa in the long run. The asymmetric empirical results of CO2 emissions are mixed, economy-specific, and vary across group countries in the long run. We find that the education and education expenditure has long-run asymmetric effects in BRICS industries. Thus empirical findings give us robust policy implications for BRICS economies., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The role of government size and digitization in the process of environmental quality is a matter of considerable debate in the field of environmental economics. BRICS economies have suffered from environmental pollution. This paper scrutinizes that how CO 2 emissions respond to government size and digitization in BRICS economies. Empirical estimates of the ARDL approach show that government size has a positive impact on CO 2 in Brazil, India, and China, while negative impact on CO 2 in Russia in the long run. The long-run estimates reveal a negative and significant effect of digitization on CO 2 in Brazil, India, and China. Education and e-learning activities have a favorable and crucial role played in environmental quality in Brazil, India, and China. Based on these findings, BRICS authorities should improve the efficiency of government expenditures and invest more in digitization to improve the quality of the environment., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

For the last three decades, both China and India are considered as the largest emerging market economies in the world. Both of these economies play an essential role in the global economy in terms of economic output and CO2 emissions. Hence, these countries are expected to play an important role in setting up environmental and sustainable development policies. Therefore, our paper aims to examine the role of natural gas and renewable energy consumptions on CO2 emissions and economic growth during 1965–2016 within a multivariate framework. The autoregressive distributed lag bounds testing approach to cointegration and vector error correction model (VECM) is employed to explore the long-run and causal nexus among the natural gas consumption, renewable energy consumption, coal and petroleum consumption, CO2 emissions, and economic growth, respectively. The empirical results show existence of long-run equilibrium association among the variables. The Granger causality results indicate that the short-run bidirectional causality between renewable energy consumption and economic growth in India, while no causality is found between these two variables in China. However, natural gas consumption causes economic growth in China whereas no causality is confirmed in India in the short-run. The findings further suggest that there is long-run bidirectional causality among the considered variables in both countries. Our paper addresses several important policy implications. [ABSTRACT FROM AUTHOR]

This study examines the relationship between FDI and CO 2 emissions in a nonlinear framework using data from countries along the "One Belt, One Road" from 1979 to 2017 as the sample. First, the linear analysis method was used to examine the stability of FDI and CO 2 emissions in countries along the "One Belt, One Road." In addition, the BDS (Brock-Dechert-Scheinkman test) method and nonlinear Granger causality test are used to investigate the nonlinear relationship between variables. Finally, a threshold vector autoregressive model (TVAR) is used to analyze the dynamic change mechanism between China's FDI and CO 2 emissions, and a threshold vector error correction model (TVECM) is used to test how the variables respond to deviations from equilibrium. Then, the Markov switching model is used to test the robustness of the results. The research results show that China, India, South Africa, and other countries all have a nonlinear causal relationship between FDI and CO 2 emissions. At the same time, the comovement of FDI and CO 2 emissions in China has obvious structural break features, which are relevant for the underlying regime. Furthermore, the results also show that the adjustment process of the FDI toward equilibrium is highly persistent in the first regime, and CO 2 emissions will adjust to an equilibrium state at a faster speed in the second regime. Therefore, this paper puts forward different policy suggestions for different countries. For China, we should pay attention to the long-term benefits of FDI and introduce high-tech green FDI.

This paper compares the population transition in China and India during 1950-2015 by decomposing population growth into the growth attributed to the changes in fertility and mortality (intrinsic growth), and the growth attributed to the change in population age composition (momentum growth). The analysis reveals similarities and differences in the population transition path followed by the two countries and suggests that India lags behind China by about 30 years in terms of population transition. The population transition in China has been rapid and inconsistent, while India’s population transition has been slow and consistent. The momentum for growth intrinsic to respective populations has been the main contributor to population growth in both countries. The demographic dividend resulting from population transition in India has been substantially smaller than that in China because of differences in population transition paths. Unlike in China, population transition appears to have contributed only marginally to economic growth in India. This paper emphasises the importance of focussing population policy on the relative contribution of different demographic drivers to population growth. [ABSTRACT FROM AUTHOR]

The chaotic structure of air pollution, human health, the evidence of cointegration and causality between the air pollution, transportation, tourism, construction, and manufacturing industries and the evidence of cointegration and causality between the air pollution, transportation, tourism, construction, and manufacturing industries and mortality rate were explored for China, India, and Turkey in the period of 1975-2018 by using four different methods. Firstly, Lyapunov and Shannon tests were applied to determine chaotic dynamics. The maximum Lyapunov test, for the selected variables, found the evidence of chaotic dynamics. Secondly, Fourier ADF and NL tests were applied. Fourier unit root test determined stationary of the variables. Thirdly, bootstrapping autoregressive distributed lag with Fourier transformation (FBARDL) was used to determine the evidence of cointegration between the variables with two different models. FBARDL test determined that the manufacturing, tourism, transport, and construction industries, air pollution, and mortality rate have evidence of cointegration in different two models. Lastly, the causality test with Fourier transformation was used to determine the direction of causality between the variables. Granger causality test determined that there is evidence of one-way causality running from transportation, tourism, construction, and manufacturing industries to air pollution and mortality rates. Accordingly, the results of this paper suggest air pollution and human health have chaotic behaviors. Air pollution has a complex, multi-variable, and multi-coupling system. Air pollutants influencing factors and air pollution itself have adverse effects on human health.

This paper examines the relationships between the energy consumption, GDP growth and CO2 emission, using Panel Smooth Transition Regression (PSTR) model for BRIC countries over the period 1960-2006. Our results reveal that environmental quality in these countries has increasingly suffered from high energy consumption. Moreover, rapid economic growth and international trade in energy intensive goods have progressively increased energy consumption. This suggests that excessively high economic growth is a curse for environmental quality and energy conservation policies to reduce unnecessary wastage of energy should be kicked off for energy-dependent BRIC countries. [ABSTRACT FROM AUTHOR]

The changing population age structure has a significant influence on the economy, society, and numerous other aspects of a country. This paper has innovatively applied the method of compositional data forecasting for the prediction of population age changes of the young (aged 0–14), the middle-aged (aged 15–64), and the elderly (aged older than 65) in China, India, and Vietnam by 2030 based on data from 1960 to 2016. To select the best-suited forecasting model, an array of data transformation approaches and forecasting models have been extensively employed, and a large number of comparisons have been made between the aforementioned methods. The best-suited model for each country is identified considering the root mean squared error and mean absolute percent error values from the compositional data. As noted in this study, first and foremost, it is predicted that by the year 2030, China will witness the disappearance of population dividend and get mired in an aging problem far more severe than that of India or Vietnam. Second, Vietnam’s trend of change in population age structure resembles that of China, but the country will sustain its good health as a whole. Finally, the working population of India demonstrates a strong rising trend, indicating that the age structure of the Indian population still remains relatively “young”. Meanwhile, the continuous rise in the proportion of elderly population and the gradual leveling off growth of the young population have nevertheless become serious problems in the world. The present paper attempts to offer crucial insights into the Asian population size, labor market and urbanization, and, moreover, provides suggestions for a sustainable global demographic development. [ABSTRACT FROM AUTHOR]

Purpose – China and India are two of the fastest growing economies in the world, and poverty reduction has been substantial in both countries through the past few decades. Yet they have very different profiles in terms of food security and undernutrition – while at the micro-level China has performed well in terms of undernutrition, India has not. The purpose of this paper is to examine linkages between poverty, food security, and undernutrition in both countries. Design/methodology/approach – In this paper, the authors discuss the linkages between poverty, food security, and undernutrition at the micro level, describe the literature, and make inferences for targeting the remaining poor, food insecure, or undernourished in both countries. Findings – In China, there is a need for better tools for targeting the poor or malnourished. In India, more effective state-level policies should be better understood by the central government and disseminated to less successful states. Originality/value – In this paper, the authors describe data sources on poverty, food security, and undernutrition in both China and India, and correlates with changes in all three. The authors try to understand what factors appear to lead to reductions in all three, pointing out data gaps in both countries. [ABSTRACT FROM AUTHOR]