Urbanization and carbon dioxide (CO2) emission nexus in the CEMAC countries

PurposeThis study investigates the relationship between urbanization and carbon dioxide emission in the Central African Economic and Monetary Community from 1990 to 2019. The literature reveals that the relationship between urbanization and carbon dioxide emissions is still debatable and the existing findings are inconclusive.Design/methodology/approachCarbon dioxide is the regressand; while, urbanization, gross domestic product (GDP) and financial development (FD), rule of law (ROL) and government effectiveness (GEF) are the regressors. Johansen Fisher and Kao residual co-integration tests alongside the fully modified and dynamic ordinary least squares.FindingsThe results show a significant positive relationship between urbanization and carbon dioxide emissions. The causality tests results show that carbon dioxide granger causes urbanization, GDP and FD unit directionally.Research limitations/implicationsThe countries' governments should effectively improve their legal systems to regulate carbon dioxide emissions. Urbanization laws should be implemented to limit urbanization environmental deteriorating effects on carbon dioxide emissions. This occurs as the countries practiced unregulated urbanization which increases population's environmental impacts. The study recommends sustainable green urbanization policies for environmental conservation through tree planting and horticulture. Balance development in urban and rural areas is vital to decongest the urban cities' pressure in the states. The governments should motivate the private sector with rural investments captivating policies to limit rural urban migration.Originality/valueThe findings contribute value by supporting a positive link between urbanization and carbon dioxide emissions in the CEMAC zone. The causality tests findings confirm the view that carbon dioxide granger causes urbanization, GDP and FD unit directionally. This value addition is essential to the governments and policy makers to mitigate urbanization and carbon dioxide emissions in the CEMAC region.

Can labor productivity growth reduce carbon emission? Evidence from OECD countries and China

PurposeThe purpose of this study is to examine the challenges involved in the trade-offs of labor productivity and per capita carbon dioxide (CO2) emission.Design/methodology/approachIn this research, we used a balanced dataset of 36 OECD countries and China between 1990 and 2018. We examined the relationship between labor productivity and per capita CO2 emission for OECD countries and China based on an Environmental Kuznets Curve (EKC) hypothesis. Further, the fixed effects model of estimation was employed to examine the impact of variables during the sample period and explore the relationship between predictor and outcome variables within an entity while controlling for all time-invariant differences.FindingsThis study confirmed the existence of the N-shape EKC hypothesis in 36 OECD countries and China. This implies that at the initial development stage, per capita CO2 emission increased with labor productivity; however, after reaching certain threshold, per capita CO2 emission began to fall with rising labor productivity. Then the per capita CO2 emission rises again when labor productivity continually increases.Originality/valueIn this study, we explored the dynamic association between labor productivity and per capita CO2 emissions for 36 OECD countries and China under the EKC framework from 1990 to 2018 by using the labor productivity and per capita CO2 emission as economic and environmental indicators of one country respectively. This study’s contribution showed the following: first, the empirical findings confirmed the N-shape relationship between labor productivity and per capita CO2 emissions for 36 OECD countries and China; second, the findings demonstrated that the association among the underlying variables by testing through the fixed effect model.

Factors contributory to fire occurrences in two populated areas in the American southwest

PurposeThis study aims to further understand the factors contributory to fire occurrences in two semi-arid regions in the American Southwest, Clark County in Nevada and Maricopa and Pinal Counties in Arizona.Design/methodology/approachStatistical and geographic information system analyses were employed to examine the spatial and temporal relationships of various natural and human-caused factors with fire incidences.FindingsAngström fire danger index, average amount of rainfall one month prior, extent of forests and grasslands, and proximities to secondary roads and population centers have significant relationships with fire events.Research limitations/implicationsThe importance of the factors contributory to fire occurrence is site-specific even in areas with similar climatic regimes and varies among different geographic regions; as such, researchers will need to conduct specific investigation of each study area.Practical implicationsThe findings of this study can be instrumental in facilitating fire managers to derive more informed strategies in fire prevention and management.Originality/valueWhile there are many studies on fire, most of them are conducted in wet regions with a lot of vegetative cover; not much work is done on arid areas. This paper considered and compared the spatial and temporal relationships of a wide range of natural and human-caused factors with fire events in two semi-arid areas. The intent was to assess the relative importance of these factors in areas even with similar climatic regimes. As our world is facing unprecedented changes in terms of climate and population growth, it is paramount to have an enhanced understanding of the impacts of these changes on fire regimes. The study areas are hot and dry, and they are located in the wildland–urban interfaces with rapid population growth and urbanization; as such, the research findings may contribute to existing literature.

Investigating the role of celebrity institutional entrepreneur in reducing the attitude-behavior gap in sustainable consumption

PurposeAnthropogenic activities such as unsustainable consumption pattern is one of the reasons responsible for the ongoing environmental issues. Although, consumers are becoming increasingly aware and concerned about environmental problems their attitudes are not resulting in sustainable consumption behavior (SCB). Celebrity institutional entrepreneurs can engage and inspire the public at large and contribute to institutional change. Hence, this study aims to explore the potential of celebrity institutional entrepreneurship in galvanizing mainstream SCB by increasing the awareness of environmental issues and their consequences.Design/methodology/approachThis study examines the actor's influence by conducting a netnographic analysis of Leonardo DiCaprio's Instagram account. Further, qualitative interviews of account followers were also conducted to evaluate the influence of account on their awareness levels and consumption practices.FindingsOur findings indicate that account had a significant impact on consumers' environmental awareness and engagement with environmental issues. However, a partial impact was seen in case of their sustainable consumption practices. Our study concludes that celebrity institutional entrepreneurship can help in addressing the attitude-behavior gap in sustainability research.Originality/valueThis study is amongst the few studies that attempted to explore the ways to reduce the attitude-behavior gap in SCB. It examines the potential of celebrity institutional entrepreneurship to galvanize mainstream sustainable consumption. The results of this study are useful to key stakeholders (policymakers, marketers, social-environmental groups etc.) in the development of more effective strategies for sustainable development.

The threshold effect of electricity consumption and urbanization on carbon dioxide emissions in Ghana

PurposeThe quest for economic development has brought adverse effects on the environment through the release of greenhouse gases, such as carbon dioxide (CO2). This will counter the efforts to achieve the Sustainable Development Goals (SDGs) by 2030. This study, therefore, investigates the effect of electricity consumption and urbanization on CO2 emissions in Ghana. Electricity consumption and urbanization are among the factors that can be used to reduce CO2 emissions.Design/methodology/approachFollowing the STIRPAT framework with the Hansen (2000) least squares threshold estimation strategy, the study employed annual time series data from 1971 to 2019.FindingsThe study revealed a single threshold effect of both electricity consumption and urbanization on CO2 emissions. Electricity consumption intensity reduces CO2 emission when electricity consumption is below the threshold (6287GWh) but increases when consumption passes the threshold. However, urbanization exerts a positive influence on CO2 emissions regardless the level of urbanization (either before or after the threshold point). Again, the empirical results revealed that the urbanization threshold moderates the effect of electricity consumption on CO2 emissions.Research limitations/implicationsPolicymakers have to consider redesigning the current urbanization mode to include some new-type urbanization elements.Originality/valueThe threshold effect of electricity consumption and urbanization on CO2 emissions in Ghana is examined using the Hansen (2000) least square method.

Effect of carbonization on the surface and influence on heavy metal removal by water hyacinth stem-based carbon

PurposeThe aim of this study is to examine the effect of carbonization on the surface and its influence on heavy metal removal by water hyacinth based carbon.Design/methodology/approachDried water hyacinth stem was used as precursor to prepare carbon based adsorbent by pyrolysis method. The adsorbent proximate (ash, volatile matter and fixed carbon) and elemental (carbon hydrogen nitrogen sulfur) composition, surface area, pore size distribution, surface chemistry was examined and compared.FindingsThe results demonstrated that through carbonization in comparison to dried water hyacinth stem, it increased the surface area (from 58.46 to 328.9 m2/g), pore volume (from 0.01 to 0.07 cc/g), pore size (from 1.44 to 7.557 Å) thus enhancing heavy metal adsorption. The metal adsorption capacity of Cd, Pb and Zn was measured and analyzed through induced coupled plasma-mass spectrometer. At metal concentration of 0.1 mg/l adsorption rate for Cd, Pb and Zn was 99% due to increased large surface area, coupled with large pore size and volume. Furthermore, the adsorbent surface hydroxyl group (OH−) enhanced adsorption of positively charged metal ions through electrostatic forces.Practical implicationsIt is presumed that not only adsorption with synthetic wastewater but real wastewater samples should be examined to ascertain the viability of adsorbent for commercial application.Originality/valueThere are little or scanty data on the effects of carbonization on water hyacinth stem based carbon and subsequent effects on heavy metal removal in effluents.

Sustainable waste management in the Indonesian medical and health-care industry: technological performance on environmental impacts and occupational safety

PurposeSustainable waste management (SWM) leads to human safety by eliminating dangerous substances, increasing cost efficiency and reducing environmental impacts. Integrating social, economic and environmental factors is the standard for successfully implementing SWM. However, prior studies have not incorporated the triple bottom line with technological performance and occupational safety in establishing SWM. To drive sustainability in waste management, this study aims to provide a set of SWM attributes and identify a causality model based on the interrelationships among the attributes.Design/methodology/approachThis study used the Delphi method to list the relevant attributes and the decision-making trial and evaluation laboratory (DEMATEL) involving 18 experts from the medical and health-care industry to present the interrelationships indicating the group of cause–effect attributes of SWM.FindingsThe study selected 5 aspects and 20 criteria as the relevant attributes of SWM. The cause group consists of environmental impacts and occupational safety, with positive values of 27.031 and 24.499, respectively. The effect group includes technological performance, economic performance and social performance. In particular, the challenges and practices of technological performance are linked to environmental impacts and occupational safety.Practical implicationsThe top four criteria for industrial improvement are green practices, government policy and rules, the awareness of workers and waste separation and collection. These results present deeper insights into theoretical and managerial implications.Originality/valueThis study contributes to addressing the challenges and practices of SWM in technological performance leading to environmental impacts and occupational safety. Studies on the technological performance aspect in the causality relationships between environmental impacts and occupational safety are lacking. This study describes SWM using qualitative information and quantitative data.

Does agricultural development affect environmental quality? The case of carbon dioxide emission in Ghana

PurposeAgricultural development still constitutes an integral part of Ghana's drive towards job creation, industrial development and economic growth with various growth policies placing the agricultural sector at the core. While there are likely environmental effects of agricultural activities, evidence in Ghana remains scanty. The study focused on examining, empirically, the effects of the development of the agricultural sector on carbon dioxide (CO2) emission in Ghana.Design/methodology/approachThe paper employed the Stochastic impacts by regression on population, affluence and technology (STIRPAT) framework to test for the environmental Kuznets curve (EKC) hypothesis for agriculture and carbon dioxide emission as well as the effect that the changing structure of Ghana's agricultural development has on carbon dioxide emission for the 1971–2018 period. Regression analysis, variance decomposition and causality analysis were performed.FindingsThe regression results revealed a U-shaped relationship between agricultural development and carbon emission, implying a rejection of the EKC hypothesis between the two variables. In addition, the Structural Adjustment Programme was found to positively moderate the effect agriculture has on carbon emission.Practical implicationsThe study recommends the need for policy-makers to facilitate the large-scale adoption and use of modern technology and environmentally friendly agricultural methods.Originality/valueThe study is among the few works to assess the EKC hypothesis between agriculture and carbon dioxide emission in Africa. The direct and indirect effect of structural adjustment programme on carbon emission is estimated.

Investigating the validity of the agricultural-induced environmental Kuznets curve (EKC) hypothesis for Ghana: evidence from an autoregressive distributed lag (ARDL) approach with a structural break

PurposeThe purpose of this research is to examine the validity of the agriculture-induced environmental Kuznets curve (EKC) hypothesis with evidence from an autoregressive distributed lag (ARDL) approach with a structural break including real income and energy consumption in the model for Ghana over the period 1980–2014.Design/methodology/approachThe ARDL approach with a structural break was used to analyze the agriculture-induced EKC model which has not been studied in Ghana. The dynamic ordinary least squares (DOLS), canonical cointegration regression (CCR) and fully modified ordinary least squares (FMOLS) econometric methods were further used to validate the robustness of the estimates, and the direction of the relationship between the study variables was also clarified using the Toda–Yamamoto Granger causality test.FindingsThe ARDL results revealed that GDP, energy consumption and agricultural value added have significant positive effects on CO2 emissions, while GDP2 reduces CO2 emissions. The Toda-Yamamoto causality test results show a bidirectional causality running from GDP and energy consumption to CO2 emissions whereas a unidirectional long-term causality runs from GDP2 and agriculture value-added to CO2 emissions.Practical implicationsThis finding validated the presence of the agriculture-induced EKC hypothesis in Ghana in both the short run and long run, and the important role of agriculture and energy consumption in economic growth was confirmed by the respective bidirectional and unidirectional causal relationships between the two variables and GDP. Thus, a reduction in unsustainable agricultural practices is recommended through specific policies to strengthen institutional quality in Ghana for a paradigm shift from rudimentary technology to modern sustainable agrarian technologies.Originality/valueThis study is novel in the EKC literature in Ghana, as no study has yet been done on agriculture-induced EKC in Ghana, and the other EKC studies also failed to account for structural breaks which have been done by this study. This study further includes a causality analysis to examine the direction of the relationship which the few EKC studies in Ghana failed to address. Finally, dynamic ordinary least squares (DOLS), canonical cointegration regression (CCR) and fully modified ordinary least squares (FMOLS) methods are used for robustness check, unlike other studies with single methodologies.