Is structural innovativeness a panacea for healthier environments? Evidence from developing countries

Obiakor, Rowland Tochukwu; Uche, Emmanuel; Das, Narasingha

doi:10.1016/j.techsoc.2022.102033

Cited by 30 publications

(8 citation statements)

References 37 publications

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“… where the series that have been defined earlier retain their notations, while the subscripts i and t imply cross-sectional dimension and time dimension, b 0, b 1 – b 7 and ε i t imply coefficients of the constant term, the explanatory variables and the stochastic term, respectively. It is imperative to highlight that all the panel series have been transformed into natural logarithmic values to enable interpretations on the basis of elasticities (see 3,4,56 ).…”

Section: Methodsmentioning

confidence: 99%

Navigating the paths to sustainable environments via energy security, renewable energy and economic complexity: Evidence from array of pollution metrics

Uche

Das²,

Nwaeze

et al. 2022

Energy & Environment

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Empirical narratives pertaining to the implications of energy security (ENS) on environmental quality (EQ), particularly in the context of Emerging Seven (E7) countries, are currently understudied. Likewise, the influence of renewable energy (RWN), economic complexity (ECI) and environmental control technology (EVT) on EQ is still unsettled. Thus, based on arrays of pollution metrics (ecological footprint (ECF), carbon emission damage (CO2D) and consumption-based carbon emissions (CCO2) and annual panel series spanning 1990–2018, this study provides fresh insights into the implications of the listed variables on EQs in E7 countries. Accordingly, the following empirical narratives were established: (i) The effects of the enlisted panel series on EQ are sensitive to the peculiarities of each pollution metric. (ii) Estimates of the pool mean group autoregressive distributed lag (PMG-ARDL) model and those of cross-sectional augmented autoregressive distributed lag (CS-ARDL) underscore the important roles of ENS and RWN on EQ, particularly on ECF; and ECI on CO2D. While EVT provides insignificant carbon emission reducing effects across all variants of EQ indicators, population and economic growth are all time-significant pollution enablers. (iii) The outcomes of the panel quantile regression demonstrate that ENS enhances EQ only at the 25th and 50th quantiles and accelerates pollution at the 75th and 95th quantiles. RWN enhances EQ across all quantiles while ECI deaccelerates ECF and CO2D and accelerates CCO2 across all quantiles. Furthermore, EVT accelerates ECF and CO2D while it deaccelerates CCO2 across all quantiles. Meanwhile, the unpleasant effects of growth and population are reemphasized. Policy strategies to ensure a sustainable environment in E7 have been highlighted.

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Section: Methodsmentioning

confidence: 99%

Navigating the paths to sustainable environments via energy security, renewable energy and economic complexity: Evidence from array of pollution metrics

Uche

Das²,

Nwaeze

et al. 2022

Energy & Environment

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“…It is imperative to highlight that the number of data observations (50) is informed by data availability and consistency from all the data sources. However, based on econometric specifications, data observations over five decades (50 years) are adequate for robust time series estimation (Obiakor et al, 2022; Uche et al, 2021; Uche & Effiom, 2021a). Meanwhile, all the series, except FDI, gross domestic product (GDP) and natural resource rent, were converted to natural logarithmic values to minimize the chances of serial correlation (Opuala‐Charles et al, 2022; Uche, 2022).…”

Section: Data Descriptions Model and Econometrics Processmentioning

confidence: 99%

Re‐estimating the pollution haven–halo hypotheses for Brazil via a machine learning procedure

Uche,

Omoke,

Silva‐Opuala

et al. 2023

J of Intl Development

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In this study, we re‐examined the pollution haven and halo hypotheses in Brazil for approximately five decades (1970–2019) while controlling for the effects of income, renewable energy and natural resource depletion. For clearer insights, the study employed both the conventional autoregressive distributed lag (ARDL) and the enhanced kernel regularized least squares (KRLS) techniques. Notably, the KRLS is a flexible machine learning nonlinear analytical technique that explains the interactions of the regressand and the regressors both at the average and across a range of quantiles. After ascertaining cointegration through the bounds tests and the Bayer–Hanck procedures, the following empirical outcomes emerged: The ARDL result suggests the acceptance of the pollution haven hypothesis in Brazil in both the short and long runs. However, the KRLS technique reveals that foreign direct investment (FDI) could enhance environmental quality (pollution halo) within the 25th quantile of the distributions of CO2 emissions. However, at the 50th and 70th quantiles, the pollution haven hypothesis is rectified. This suggests the adoption of varying policy options to ensure continuous inflows of FDI without compromising environmental quality. Additionally, among the control variables, a U‐shaped environmental Kuznets curve (EKC) structure is revealed from the influence of gross domestic product (GDP); renewable energy ensures a clean environment at all times, while resource rent ensures a clean environment only at the 25th and 50th quantiles of the distributions. Policies that could lead to clean environments in Brazil have been provided.

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“…where the series that have been defined earlier retain their notations, while the subscripts i and t imply cross-sectional dimension and time dimension, b 0, b 1 -b 7 and ε it imply coefficients of the constant term, the explanatory variables and the stochastic term, respectively. It is imperative to highlight that all the panel series have been transformed into natural logarithmic values to enable interpretations on the basis of elasticities (see 3,4,56 ).…”

Section: Model Specificationmentioning

confidence: 99%

“…The CS-ARDL panel estimator proposed by Chudik and Pesaran 66 also accounts for heterogeneity in panel series, as well as long-and short-run dynamics interactions of relevant variables. 4,67 Other advantages of the CS-ARDL include its ability to produce efficient estimates among fractionally integrated panel series. The model also avails reliable estimates amidst cross-sectional dependences.…”

Section: Cips(n T)mentioning

confidence: 99%

“…It is indeed very worrisome and an issue of critical concern how the global environmental ecosystem is being compromised uncontrollably chiefly on the instance of human activities. On account of several prior studies, [1][2][3][4][5][6][7] the quest for economic advancements and overall development seems to have blindfolded humankind, leading to compromised ecosystems both in developed and developing countries. To respond to the mounting challenges of ecological imbalances, global economies have entered into several international conventions/treaties that were conscientiously constituted and crafted to ensure comprehensive abatement of continuous environmental decay.…”

Section: Introductionmentioning

confidence: 99%

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Revisiting Hofstede's dimensions of national culture and environmental sustainability

Huang

Liu

Lin

et al. 2022

Energy & Environment

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This study investigates the impact of Hofstede's dimensions of national culture on environmental sustainability across 57 countries. Hofstede's national culture construct reflects and gauges the extent of the inclination of a particular national person toward either economic development or environmental preservation. Climate change and pollution have continuously devastated the environment in recent decades. The United Nations Sustainable Development Goals aim to achieve a more sustainable future and prevent further environmental destruction. This study aims to explore whether national culture significantly influences national environmental sustainability. We use national environmental performance as the proxy for national environmental sustainability and adopt the ordinary least squares regression model to explore the possible relationship with two datasets of international indices; one is proposed by Hofstede, and the other is proposed by Germanwatch. Our results show that the power distance index has a strong negative impact on the climate change performance index (CCPI), greenhouse gas (GHG) emissions, renewable energy, and energy use. Further, the masculinity index is negatively related to CCPI and GHG emissions. The individual index is also negatively related to renewable energy. Furthermore, indulgence is positively associated with climate policy. These findings support the notion that nations should consider their cultural characteristics to improve environmental sustainability. Thus, conducting a national environmental policy that aligns with national culture is suggested to achieve environmental sustainability.

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Is structural innovativeness a panacea for healthier environments? Evidence from developing countries

Cited by 30 publications

References 37 publications

Navigating the paths to sustainable environments via energy security, renewable energy and economic complexity: Evidence from array of pollution metrics

Navigating the paths to sustainable environments via energy security, renewable energy and economic complexity: Evidence from array of pollution metrics

Re‐estimating the pollution haven–halo hypotheses for Brazil via a machine learning procedure

Revisiting Hofstede's dimensions of national culture and environmental sustainability

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