Driscoll-Kraay Standard Errors Research Articles

Effects of intelligent manufacturing on the high-quality development of manufacturing industry: The mediating role of green technology innovation

Based on the perspective of green technology innovation, this paper takes listed companies in China’s manufacturing industry from 2012 to 2022 as the research sample, and adopts the Driscoll-Kraay standard error method to explore the relationship between intelligent manufacturing and the high-quality development of the manufacturing industry. The results show that intelligent manufacturing can promote high-quality development of manufacturing industry Green technology innovation plays an mediating role in the above relationship. The above findings still hold after considering robustness tests and endogeneity treatments. Heterogeneity analysis indicates the application of intelligent manufacturing in state-owned enterprises, CEO separately enterprises and heavily polluting industries has a stronger role in promoting the development of manufacturing industry. This paper complements the existing research results on intelligent manufacturing and also establishes a realistic path for the high-quality development of China’s manufacturing industry.

Measuring How AI Innovations and Financial Accessibility Influence Environmental Sustainability in the G-7: The Role of Globalization with Panel ARDL and Quantile Regression Analysis

This study investigates the impact of AI innovation on environmental sustainability in the G-7 region from 2010 to 2022. Additionally, it tests the Load Capacity Curve (LCC) hypothesis in relation to financial accessibility, globalization, and urbanization. Cross-sectional dependence and slope homogeneity tests reveal the presence of cross-sectional dependence and heterogeneity issues. Panel unit root and panel cointegration tests confirm that the variables are free from unit root problems and are cointegrated in the long run. To identify significant factors influencing environmental sustainability, this study employs Panel ARDL and Quantile Regression methods. Both methods confirm the LCC hypothesis in the G-7 region, demonstrating a U-shaped relationship between income and the load capacity factor. The results indicate that AI innovation and financial accessibility are significantly positively correlated with the load capacity factor, while globalization and urbanization are negatively correlated, leading to lower environmental sustainability. To validate the robustness of the Panel ARDL and Quantile Regression results, Driscoll-Kraay standard errors, Augmented Mean Group, and Common Correlated Effects Mean Group estimation approaches are applied, all of which support the initial findings. Furthermore, the D-H causality test reveals unidirectional causality from economic growth, financial accessibility, globalization, and urbanization to the load capacity factor, and bidirectional causality between AI innovation and the load capacity factor.

Leaving No One Behind: Examining the effect of financial, gender, and digital inclusion on sustainable development

AbstractThis paper analyzes the effects of different dimensions of inclusion toward the attainment of sustainable development in 33 sub‐Saharan African (SSA) countries from the financial, gender, and technological perspectives between 2004 and 2021. This study employs the System Generalized Method of Moments given its ability to address potential endogeneity issues, capture the dynamic nature of relationships, and mitigate potential biases while adopting the Driscoll–Kraay standard errors for robustness check. Findings reveal two of the three measures of financial inclusion wield positive and significant effects on sustainable development while credit to the private sector is found to be detrimental. Also, all three measures of gender inclusion (female employment to population, female labor force participation rate, and the number of women holding a seat in parliament) positively influence sustainable development. Contrastingly, the coefficients of digital inclusion (mobile phone subscription and internet usage) were revealed to be harmful to sustainable development in SSA. This paper advocates for increased financial inclusion through financial literacy, customized financial products, and gender‐sensitive financial services. Pertinent are gender policies that address gender norms in addition to the enactment, avowed commitment, and support for affirmative action toward closing gender gaps across all sectors and at all levels.

Towards achieving inclusive energy in SSA: The role of financial inclusion and governance quality

Energy poverty is a serious impediment to achieving Sustainable Development Goal 7 (SDG-7), thereby compelling policymakers and the scientific community to make collaborative commitments to address energy issues worldwide. While there is growing debate on the prevalent determinants of energy poverty, the empirical scrutiny of the contributing role of financial inclusion and governance quality remains elusive in existing literature. Therefore, this study investigates the impact of financial inclusion and governance quality on energy poverty in 29 sub-Saharan Africa (SSA) spanning 2004–2022. The empirical analysis was accomplished using the Augmented Mean Group (AMG) and Common Correlated Effects Mean Group (CCEMG) techniques with the Driscoll-Kraay standard error (DKSE) approach as a robustness check. The empirical outcomes indicate that a well-developed financial system that fosters easy and quick access to credit, especially among marginalized households, leads to the affordability of modern energy resources, thereby ameliorating energy poverty in the region. Additionally, the findings demonstrate the undeniable role of good governance in fostering a sound and inclusive financial system that enables households to access energy resources, ultimately reducing energy poverty in the region. Based on these outcomes, this study proposes important policy insights for the design and implementation of inclusive financial and energy policies.

Financial Inclusion, Technology Innovation and CO2 Emissions: International Evidence

This research examines the elaborate association between FI, CO2 emissions, and the moderating role of technological innovation across 83 countries. The study, which includes the years 2003 to 2022, uses data from the WDI to investigate the dynamics and consequences of these interrelated factors. The major goal is to determine the influence of FI on CO2 emissions, taking into consideration the moderating role of technical progress. Through principal component analysis, the study seeks to understand the underlying mechanisms driving these associations by employing various statistical approaches such as correlation analysis and Driscoll-Kraay standard errors. Initial data show a significant link between FI and CO2 emissions, but the degree of the association varies by nation. Furthermore, technological innovation has been shown to have a significant moderating effect, increasing the effect of FI on CO2 emissions. Based on these findings, the research suggests policies that make use of the associations between FI and technological innovation in order to promote sustainable development. Overall, this study advances our consideration of the complex relationship between FI, CO2 emissions, and technological innovation, providing significant insights for policymakers and stakeholders working for environmental sustainability and economic inclusiveness.

Navigating poverty in developing nations: unraveling the impact of political dynamics on sustainable well-being

Political instability, dismal governance, and corruption are among the factors that currently distress poverty. The primary objective of this research was to determine how political factors distress poverty in developing nations, which has perhaps not been investigated yet. The main objective was also to observe if the effect of political factors on poverty is a dilemma or a reality. Poverty (dependent variable) has been divided into two segments: income poverty index and Human Health Poverty Index; however, political factors (independent variables) studied were corruption, democracy, governance, and political globalization. Twenty-six years of data were taken from 1997 to 2022 of twenty-four developing nations. The poverty and institutional quality indices were constructed through Principal Component Analysis (PCA). The Fixed Effect, System GMM, and 2SLS approaches were used to determine the dynamic impact on poverty. Furthermore, this study incorporated fixed effects with Driscoll-Kraay standard errors to address cross-sectional dependence. The findings indicated that, although there was a significant connection between governance and income and human poverty. Democracy also showed a negative and significant relationship in the income poverty model but insignificant in the human poverty model. Political globalization showed negative and significant associations with poverty models (income and human poverty). Conversely, corruption showed a significant positive relationship in poverty models, i.e., income and human poverty.

Understanding the complexities of technological penetration and globalisation on labour market performance: The role of complementary policies

Understanding the impact of technological penetration and globalisation on wage differentials and employment is crucial for developing countries aiming for sustainable economic growth and reduced unemployment rates. This study investigates these effects in the Southern African Development Community. It also examines the role of complementary policies, such as financial development and human capital, and their interactive effects with technological penetration on wages and employment. The study employs panel fully modified least squares, dynamic least squares, and Driscoll-Kraay's standard error as a robustness check. Results indicate that technological penetration, financial development, and the interactive effect of human capital and technological penetration negatively affect employment. Conversely, globalisation and the interactive effect of financial development and technological penetration positively influence employment. Technological penetration is insignificant in the wage equation, while human capital, globalisation, and financial development are associated with wage increases. The interactive effect of technological penetration and human capital is not significant, and the interactive effect of financial development and technological penetration negatively impacts wages. Based on the findings, the study recommends enhancing financial development and human capital while carefully managing technological integration to navigate the complexities of technological and global economic integration to maximise employment and wage benefits.

Leveraging AI for Promoting Sustainable Environments in G-7: The Impact of Financial Development and Digital Economy via MMQR Approach

This study investigates the role of Artificial Intelligence (AI) in promoting a sustainable environment within the G-7 countries by testing the Load Capacity Curve (LCC) hypothesis. Additionally, it examines the effects of financial development, the digital economy, and urbanization on the load capacity factor using data from 2010 to 2022. The research employs cross-sectional dependence and slope homogeneity tests, revealing issues of cross-sectional dependence and heterogeneity. Panel unit root tests, both first and second generation, confirm that the variables are free from unit root problems. Furthermore, panel cointegration tests indicate that the variables are cointegrated in the long run. To assess the impact of the explanatory variables on the load capacity factor, the study utilizes the Method of Moments Quantile Regression (MMQR). The findings reveal a U-shaped relationship between income and the load capacity factor, supporting the LCC hypothesis in the G-7 region. The results also indicate that AI innovation and financial development have a significant positive correlation with the load capacity factor. In contrast, the digital economy and urbanization are found to significantly reduce the load capacity factor. Robustness checks, including the Driscoll-Kraay standard error, Augmented Mean Group, and Common Correlated Effect Mean Group estimation approaches, validate the findings obtained from the MMQR method. Moreover, the Dumitrescu-Hurlin (D-H) causality assessment is utilized to explore the causal connections between variables. The results reveal a unidirectional causal relationship between income and the load capacity factor. Additionally, bidirectional causal relationships are the remaining explanatory variables and load capacity factors.

Driving human development through ecological impact for emerging economies: the role of trade openness.

The present study attempts to examine the link between trade openness and sustainable human development (SHD) in 19 emerging economies. The study used the data for the period from 1996 to 2019. The study employed fixed-effect regression with Driscoll-Kraay standard error techniques robust to cross-section dependence. The study found the favorable impact of trade openness on sustainable development through sustainable human development. Trade openness affects sustainable human growth in many ways. It is a critical component that should not be ignored in sustainable development policies. Moreover, foreign direct investment, economic growth, and renewable energy consumption positively impact the sustainable human development. In contrast, innovations and institutional quality have an adverse impact on SHD. The study also provides policy suggestions for the emerging economies that will promote all the dimensions of sustainable development: economic, social, and environmental.

Female economic participation and sustainable development in African countries: The moderating role of governance

AbstractThis study examines the impact of female economic participation on sustainable development and the moderating role of governance in African countries using data between 2002 and 2022. Despite the significant contributions of women to the economy, they remain underrepresented in economic governance. The study employs the two‐step dynamic system GMM approaches with fixed effects and Driscoll–Kraay standard errors, and to address potential endogeneity. The findings reveal that while female economic participation positively affects sustainable development, poor governance weakens this relationship, suggesting a substitutive rather than complementary role of governance. The study establishes a governance threshold of 2.667, on a scale of 0–5, above which female economic participation significantly enhances sustainable development. Subregional analyses indicate varying impacts, with governance complementing female economic involvement in Central and Southern Africa but acting as a substitute in East, North, and West Africa. These insights underscore the need for enhanced governance and targeted policies to empower women and promote sustainable development across the African continent and the need for incorporating context.

Is economic fitness helpful in achieving environmental sustainability in BRICS economies? A risk exposure perspective

A country’s ability to create complex goods and diversify its lines of products is essential for addressing all types of vulnerabilities. Quantifying a country’s vulnerability to extreme climatic events, such as droughts, superstorms, and other natural disasters, and its capacity for successful adaption, is an essential global need that has been ignored. This study examines the role of economic fitness (EF) in addressing climate change risk exposure in BRICS countries in the context of the environmental Kuznets curve using panel data from 1995 to 2015. Panel threshold methodology is employed to ascertain the nonlinear relationship between EF and climate change risk exposure (i.e., Notre Dame Global Adaptation Initiative Country Index (ND-GAIN)). In addition, empirical associations were estimated using panel-corrected standard errors, Driscoll-Kraay standard errors, and feasible generalized least squares estimation techniques. These findings demonstrated an inverted N-shaped link between EF and ND-GAIN. Moreover, even after controlling for significant ND-GAIN influencing variables such as gross domestic product per capita, financial development, and urbanization, our robustness checks revealed significant and consistent findings.

The role of energy equity and income inequality in environmental sustainability

Progress in energy equity, income equality, and environmental quality are fundamental to sustainable development. However, studies providing evidence-based recommendations concerning the joint effect of energy equity and income inequality on environmental sustainability in Africa are lacking. This study fills this gap by using a panel dataset covering 41 African countries from 2008 to 2019. Results from the Driscoll-Kraay standard errors and the dynamic system GMM estimators reveal the following: (1) energy equity promotes environmental quality, whereas income inequality hampers it, and (2) income inequality nullifies the favourable environmental gains of energy equity. These findings remain consistent when we use the ecological footprint as an alternative measure of environmental quality. We conclude that addressing income inequality is essential for ensuring that energy equity enhances environmental quality. Policymakers should prioritise energy equity and fairer income distribution initiatives to achieve sustainable development goals.

Income inequality, governance quality, and environmental degradation in Asian countries: Does interaction of governance quality matter? Evidence from panel data

The objective of this research is to examine the effects of income inequality, governance quality, and their interaction on environmental quality in Asian countries. Time series data are obtained from 45 Asian countries for the period 1996–2020 for this empirical analysis. The research has performed various econometric tests to ensure the robustness and reliability of the results. We have addressed different econometric issues, such as autocorrelation, heteroskedasticity, and cross-sectional dependence, using the Driscoll-Kraay (DK) standard error estimation and endogeneity issues by the system generalized method of moments (S-GMM). The results of the study revealed that income inequality and governance quality have a positive impact on environmental degradation, while the interaction of governance quality with income inequality has a negative effect on it. In addition, economic growth, population growth, urbanization, and natural resource dependency are found to deteriorate the quality of the environment. The findings of the study offer insightful policies to reduce environmental degradation in Asian countries.

The role of natural resources, and economic development in evaluating the environmental effects of biofuel and waste energy generation in the group of BRICS

The green energy sources such as biomass conversions and waste energy have shown great potential in environmental management. This article aims to examine the changes brought about by the production of biofuel and the management of solid fossil waste over the past forty years, and to analyze the significant roles that natural resources and economic factors have played in the BRICS countries (Brazil, Russia, India, China, and South Africa) from 1990 to 2021. To achieve accurate and feasible results, second-generation econometric methodologies were applied. The Driscoll-Kraay standard errors (DKSE) approach revealed a significant negative relationship between biofuel production and environmental damage through waste management. Thus, an increase in biofuel production is associated with a reduction in environmental degradation in the region. Furthermore, the results indicate that environmental degradation (ED), the dependent variable, is still positively correlated with natural resources, urbanization, trade, and economic growth. As the financial sector struggles to address environmental threats, stringent monitoring of financial control measures and provisions for environmental issues is necessary. To achieve sustainable development, BRICS member countries need to address the issues of natural resource exhaustion and over-exploitation. The findings of this research suggest policy support for sustainable redevelopment, which should be goal-oriented and backed by the central authorities of the respective countries.

Travel for health as a type of niche tourism and economic growth: A cross‐country panel data analysis

AbstractAlthough the potential of the health tourism to support economic growth can be based on strong theoretical foundations, it is also argued that this tourism type may hinder economic growth by weakening labor productivity. On this basis, the present study aims to examine the effect of health tourism on economic growth. The study uses panel data fixed effects method with Driscoll–Kraay standard errors and dataset of 72 countries. The findings strongly supported that health tourism boosts economic growth. To be more precise, it was estimated that a one‐point increase in health tourism revenues, expressed as a percentage of gross domestic product (GDP) of personal health travel exports, causes an increase of 4.9345 in GDP growth rate and 4.2558 in per capita GDP growth rate. Furthermore, the negative growth effect of health tourism through labor productivity, which is theoretically proposed and expressed as crowding‐out effect, was not supported by the findings.

Environmental Sustainability Disclosures and Financial Performance of Listed Oil and Gas Companies in Nigeria: An Application of Driscoll-Kraay Standard Errors Approach

Environmental Sustainability Disclosures and Financial Performance of Listed Oil and Gas Companies in Nigeria: An Application of Driscoll-Kraay Standard Errors Approach

CEO overseas experience, dynamic capabilities and corporate digital transformation: An imprinting theory perspective

The drivers of corporate digital transformation have been the focus of industry and academic attention. To deeply explore the driving factors and influencing mechanisms of corporate digital transformation (CDT), this paper takes Chinese listed manufacturing companies from 2007–2021 as the research object, based on imprinting theory, adopts the Driscoll-Kraay standard error method, examines the impact of CEO overseas experience on CDT, analyzes the moderating mechanisms of market competition and organizational resources, as well as the mediating effect of dynamic capabilities. The study shows that CEO overseas experience significantly promotes CDT, while market competition intensity and organizational slack resources strengthen the above relationship. Dynamic capabilities play a mediating role in the relationship between CEO overseas experience and CDT. The above findings still hold after considering robustness tests and endogeneity treatments. Further research finds that the overseas working experience of a CEO outweighs the learning experience when it comes to CDT; a CEO with overseas experience has a more significant influence on CDT in the company with a low growth rate; when the CEO is also the chair of the board in the executive team of a company, the overseas experience matters more to CDT; the overseas experience of CEOs with deep academic backgrounds has a more significant impact on CDT. This paper states the driving mechanism of corporate digital transformation from the imprinting theory perspective, and the findings are proven to be substantial and offer practical value for the in-depth development of corporate digital transformation.

Contribution of hydro energy production, economic complexity and technological innovation in achieving an environmentally sustainable Asia

The impact of hydro energy production, economic complexity, urbanization, technological innovation and financial development on environmental sustainability between 1995 and 2017 is examined for a panel of thirteen Asian economies using two environmental proxies— their ecological footprint and CO2 emissions. The non-parametric Driscoll-Kraay standard error method and the Dumitrescu-Hurlin panel causality test are applied to the data. Our findings show that hydro energy production and technological innovation have a significant negative impact on the environment, thus promoting environmental sustainability. Economic complexity significantly lowers environmental sustainability while the non-linear effect of economic complexity favors environmental sustainability; this confirms the existence of an economic-complexity-based inverted-U-shaped environmental Kuznets curve hypothesis. Moreover, urbanization and financial development significantly decrease environmental sustainability. The results of our study confirm the feedback causality between hydro energy production and carbon dioxide emissions. We recommend expansionary policies regarding hydro energy production that are beneficial for substituting fossil fuel energy. This paves a path towards environmental sustainability in this era of global boiling.

Prospect of trade and innovation in renewable energy deployment: A comparative analysis between BRICS and MINT Countries

The current study explores the impact of technological innovation and trade openness on clean energy while accounting for economic growth, access to electricity, pollution, industrial restructuring, and urbanization using data from 1990 to 2020 for both the MINT and BRICS economies. A series of tests were performed for a robust analysis using second generation econometrics approaches before proceeding to investigate the long-run linkages between renewable energy and the duo of innovation and trade using the Prais-Winsten regression model with panel-corrected standard errors (PCSE). The Driscoll-Kraay standard errors test was applied for robustness checks. The results, firstly confirm the presence of heterogeneity, cross-sectional dependence, and cointegration among the selected variables. Secondly, technological innovation as a renewable energy determinant demonstrated negative elasticities in both BRICS countries and the full sample, but a positive elasticity in the MINT countries. Thirdly, concerning trade liberalisation, negative elasticities were obtained for the full sample and MINT countries, while the elasticities were positive for the BRICS bloc. Fourthly, the roles of economic growth and environmental pollution reveal a negative impact on renewable energy consumption for all samples while urbanisation and industrial restructuring promote renewable energy developments only in the BRICS bloc. Policy implications are discussed.

Advancing environmental sustainability in the G-7: The impact of the digital economy, technological innovation, and financial accessibility using panel ARDL approach

This study examines the impact of the digital economy, technological innovation, financial accessibility, and urbanization on CO2 emissions in the G-7 region from 1990 to 2019. The analysis employed Cross-Sectional Dependence (CSD) and Slope Homogeneity tests, revealing the presence of CSD issues and heterogeneous slope coefficients. First- and second-generation panel unit root tests indicated no unit root problem within the dataset, with variables showing mixed integration orders. Panel cointegration tests confirmed that the variables are cointegrated over the long run. To assess the short-run and long-run impacts of the explanatory variables on CO2 emissions, the study utilized the Panel Autoregressive Distributed Lag (ARDL) model. The findings indicate that the digital economy significantly reduces CO2 emissions, while economic growth, technological innovation, financial accessibility, and urbanization increase CO2 emissions in the G-7 region. The robustness of the Panel ARDL results was validated using Driscoll-Kraay standard errors, Augmented Mean Group (AMG), and Common Correlated Effects Mean Group (CCEMG) estimations. Additionally, the Dumitrescu-Hurlin causality test revealed a unidirectional causal relationship between the digital economy and CO2 emissions, GDP and CO2 emissions, and CO2 emissions and technological innovation. Furthermore, bidirectional causality was found between financial accessibility and CO2 emissions, as well as between urbanization and CO2 emissions. These findings provide comprehensive insights into the dynamic interactions between economic, technological, and environmental variables in the G-7 region, highlighting the complexity of achieving sustainable development.