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Journal ArticleDOI

Can biomass energy be an efficient policy tool for sustainable development

TLDR
In this paper, the potential causality from biomass energy to CO2 emissions and economic development within relevant literature is reviewed, and statistically the impacts of biomass energy consumption on CO 2 emissions and GDP in the US are examined.
Abstract
This paper first reviews the potential causality from biomass energy to CO2 emissions and economic development within relevant literature. Later, the paper examines statistically the impacts of biomass energy consumption on CO2 emissions and GDP in the US. To this end, paper observes environmental and economic implications of biomass fuel usage throughout energy literature and launches asymmetric causality test to confirm/disconfirm the literature output. The findings of the tests indicate that biomass energy consumption per capita mitigates CO2 emissions per capita and increases GDP per capita. Eventually, upon its output, this research asserts that biomass energy consumption can be an efficient policy tool for environmentally sustainable development in the US, and, that, hence, biomass production technologies and biomass consumption need to be promoted in other countries as well as in the US. On the other hand, analyses underline the fact that policy makers should consider as well some potential constraints of biomass energy usage such as land use constraints and carbon leakage from biomass production. Therefore, although this paper explores the remedial impact of biomass on environment and growth, one may suggest also that further possible works consider the effects of biomass sources in detail to minimize the some worsening influence of biomass usage on climate change.

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A reinvestigation of EKC model by ecological footprint measurement for high, middle and low income countries

TL;DR: In this paper, the authors investigated empirically the Environmental Kuznets Curve (EKC) hypothesis and found that there is an inverted U-shaped relationship between environmental degradation and economic growth.
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CO2 emissions, natural gas and renewables, economic growth: Assessing the evidence from China

TL;DR: The empirical results confirm the existence of the environmental Kuznets curve for CO2 emissions in China, and the beneficial effects of natural gas and renewables on CO2 emission reduction are observable and the mitigation effect of naturalGas on CO 2 emissions will be weakened over time, while renewables will become progressively more important.
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Dynamic relationship between technological innovations, financial development, renewable energy, and ecological footprint: fresh insights based on the STIRPAT model for Asia Pacific Economic Cooperation countries.

TL;DR: The results of panel Dumitrescu and Hurlin (D-H) non-causality test discovered the bidirectional causality relationship between financial development, technological innovations, renewable energy consumption, economic growth, and population size with the ecological footprint.
Journal ArticleDOI

Renewable energy, non-renewable energy and sustainable development

TL;DR: In this paper, the effects of renewable energy and non-renewable energy on sustainable development are analyzed in the context of sustainable development, and the authors propose a method to analyse the impact of renewable and non renewable energy on the sustainable development.
References
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Journal ArticleDOI

Testing for a Unit Root in Time Series Regression

TL;DR: In this article, the authors proposed new tests for detecting the presence of a unit root in quite general time series models, which accommodate models with a fitted drift and a time trend so that they may be used to discriminate between unit root nonstationarity and stationarity about a deterministic trend.
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Investigating Causal Relations by Econometric Models and Cross-Spectral Methods

TL;DR: In this article, the cross spectrum between two variables can be decomposed into two parts, each relating to a single causal arm of a feedback situation, and measures of causal lag and causal strength can then be constructed.
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Statistical inference in vector autoregressions with possibly integrated processes

TL;DR: In this paper, the authors show how to estimate VAR's formulated in levels and test general restrictions on the parameter matrices even if the processes may be integrated or cointegrated of an arbitrary order.
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Use of U.S. Croplands for Biofuels Increases Greenhouse Gases Through Emissions from Land-Use Change

TL;DR: This article found that corn-based ethanol, instead of producing a 20% savings, nearly doubled greenhouse emissions over 30 years and increased greenhouse gases for 167 years, by using a worldwide agricultural model to estimate emissions from land-use change.
Related Papers (5)
Trending Questions (2)
How biomass energy impact the united nations sustainable development goals 7, 8 and 11?

Biomass energy can be an efficient policy tool for sustainable development by reducing CO2 emissions, boosting GDP, and promoting environmentally sustainable growth, aligning with UN Sustainable Development Goals 7, 8, and 11.

How we can use biomass energy in our daily life?

Eventually, upon its output, this research asserts that biomass energy consumption can be an efficient policy tool for environmentally sustainable development in the US, and, that, hence, biomass production technologies and biomass consumption need to be promoted in other countries as well as in the US.