Globalization, electricity consumption and ecological footprint: An autoregressive distributive lag (ARDL) approach

2020 ◽  
Vol 63 ◽  
pp. 102482 ◽  
Author(s):  
Zechariah Langnel ◽  
George Babington Amegavi
2021 ◽  
Vol 12 (1-2) ◽  
pp. 143-149
Author(s):  
N Sharmin ◽  
MA Farukh ◽  
S Sarker ◽  
MA Baten

Ecological Footprint (EF) assessment helps to identify what activities are having the biggest impact on nature and opens up possibilities to reduce our impact and live within the means of one planet. The introduction of EF has been very necessary for the context of Bangladesh especially in the industrial areas such Gazipur as the endless demand and the unplanned consumption pattern of the population here have been producing a very unsustainable situation. Thus this study intends to initiate it by calculating the Ecological Footprint of Bangladesh Agricultural Research Institute (BARI), one of the important residential area of Gazipur and major consuming areas of that city as a sustainability indicator. Basic equation for assessing EF has been done according to Nunes et al. (2013). EF has been calculated for these components: energy, food, waste and building material consumption. Questionnaire survey has been conducted to gather information about consumption pattern for different components in the households of BARI residential area. The study also identified consumption of natural gas for household purpose as the most contributing factor in the footprint of BARI residential area followed by waste, building materials and electricity consumption. Environ. Sci. & Natural Resources, 12(1&2): 143-149, 2019


2022 ◽  
Author(s):  
Demet Beton Kalmaz ◽  
Abraham Ayobamiji Awosusi

Abstract Malaysia’s growing trends in energy production related emissions throw doubt on the country's possibility of meeting the Paris Climate Change Agreement and SDG obligations. Taking into account Malaysia’s current growth pattern and climatic circumstances, this study evaluates the association between ecological footprint and its potential determinants: economic growth, oil consumption, renewable energy and domestic capital investment for the period between 1965 and 2017. The stationary nature of the parameters is investigated using the conventional unit root approach (ADF and PP unit root) and structural break unit root (ZA unit root). The bounds approach in combination with the critical approximation p-values of Kripfganz and Schneider (2018) established a cointegration association between the observed parameters. The ARDL approach uncovered that economic growth and oil consumption contribute to ecological footprint. Furthermore, renewable energy consumption and gross capital formation reduce the ecological footprint. The FMOLS and DOLS estimators were applied as the sensitivity analysis of the ARDL estimators. Furthermore, the spectral BC causality approach was also utilized to investigate the causal association between ecological footprint and its determinants.


2008 ◽  
Vol 2008 ◽  
pp. 1-4 ◽  
Author(s):  
Pablo Coto-Millán ◽  
Juan Luis Doménech Quesada ◽  
Ingrid Mateo Mantecón

The first ecological footprint calculation version, applied to companies, appeared in 2003. The said tool provides the possibility of calculating the total impact of a company or organisation in hectares or in equivalent emissions of . This paper updates carbon absorption rates and improves electricity consumption conversion factors, one of the major footprint generating consumptions in companies. The new rates prove that the footprint estimated to date will be notably increased as, among other aspects, the IPCC has downgraded the amount of carbon that forests are capable of absorbing. These data reveal that companies must make a great effort to adapt to the challenges triggered by climate change.


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