Cost–Benefit Analysis of Climate Change Mitigation Measures in the Forestry Sector of Peninsular Malaysia

Raihan, Asif; Said, Mohd Nizam Mohd

doi:10.1007/s41748-021-00241-6

Cited by 74 publications

(52 citation statements)

References 40 publications

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“…Implementing cost-effective mitigation strategies in the forestry sector to prevent deforestation and forest degradation can reduce global carbon emissions and avert climate change at the lowest cost (Raihan et al 2018 ). Furthermore, forestry-based mitigation strategies (forest protection, afforestation, natural regeneration) would serve a multifunctional purpose, including carbon sequestration, biodiversity conservation, ecosystem enhancement, and community outputs of goods and services (Raihan and Said 2021 ). As the forest carbon sequestration rate in Malaysia is relatively high due to the rapid growth of plants (Raihan et al 2021 ), Malaysian forests have a huge potential to mitigate global climate change by reducing CO 2 emissions and increasing forest biomass by enhancing the national carbon sink through the widespread implementation of forestry-based mitigation measures.…”

Section: Discussionmentioning

confidence: 99%

Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia

et al. 2022

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This study empirically investigates the nexus among energy use, agricultural land expansion, deforestation, and carbon dioxide (CO 2 ) emissions in Malaysia. Time series data from 1990 to 2019 were utilized using the bounds testing (ARDL) approach followed by the Dynamic Ordinary Least Squares (DOLS) method. The DOLS estimate findings show that the energy usage coefficient is positive and significant with CO 2 emissions, indicating a 1% increase in energy consumption is related to a 0.91% rise in CO 2 emissions. In addition, the coefficient of agricultural land is positive, which indicates that agricultural land expansion by 1% is associated with an increase in CO 2 emissions by 0.84% in the long run. Furthermore, the forested area coefficient is negative, which means that decreasing 1% of the wooded area (i.e., deforestation) has a long-term effect of 5.41% increased CO 2 emissions. Moreover, the pairwise Granger causality test results show bidirectional causality between deforestation and energy use; and unidirectional causality from energy use to CO 2 emissions, agricultural land expansion to CO 2 emissions, deforestation to CO 2 emissions, agricultural land expansion to energy use, and deforestation to agricultural land expansion in Malaysia. The empirical findings reveal that increased energy use, agricultural land expansion, and deforestation have a negative impact on environmental quality in Malaysia. Thus, the effective implementation of policy measures to promote renewable energy, climate-smart agriculture, and sustainable management of forest ecosystems could be useful for reducing environmental degradation in Malaysia.

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Section: Discussionmentioning

confidence: 99%

Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia

et al. 2022

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“…Contrastingly, some of the developing countries such as, Great Britain, Italy, Japan, Spain and Turkey shows low economic value of forest carbon per hectare. However, extensive implementation of different mitigation measures, such as, afforestation, reforestation, forest conservation, sustainable forest management, enhanced natural regeneration and REDD+ initiatives can increase the carbon sink as well as the economic value of forest carbon (Raihan et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

“…It's not only the study's total size that matters. However, as the random effects model implies that the study effect sizes are diverse, this study employed a random effects meta-analysis methodology (Raihan & Said, 2021). A randomeffects meta-analysis model assumes the observed estimates of treatment effect can vary across studies because of real differences in the treatment effect in each study as well as sampling variability.…”

Section: Effect Size and Meta-analysis Modelmentioning

confidence: 99%

“…The meta-analysis contour-enhanced funnel plot is frequently utilized to see if the meta-analysis outcome is publication bias on positive instead of non-significant or negative outcomes (Raihan & Said, 2021). A funnel plot in meta-analysis is a scatterplot with effect magnitude and standard error on the two axes.…”

Section: Contour-enhanced Funnel Plotmentioning

confidence: 99%

“…There is a growing concern of the impacts of climate change on the adaptability and integrity of the forests as a vital carbon reservoir (Raihan et al, 2018). However, deforestation and forest degradation are two important worldwide problems because they can diminish the carbon store and sequestration capability of forests (Matthew et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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A meta-analysis of the economic value of forest carbon stock

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Global climate change has become a critical issue due to the global greenhouse gases (GHGs) emissions dominated by carbon dioxide (CO 2 ). Forest ecosystems are becoming increasingly essential in mitigating climate change by absorbing the atmospheric CO 2 and storing it in tree biomass, a process known as carbon sequestration. Decades of environmental valuation research show that forest carbon has a positive economic impact. Economic valuation of forest carbon provides mechanism for climate change mitigation policy instruments, compare rival forestry and environmental initiatives, and infuse public willingness to pay in forest conservation projects. It is also required for carbon trading, conservation, and management of the forests. However, carbon storage estimates in forest ecosystems throughout the world differ substantially. Thus, this study conducts a global meta-analysis to estimate the marginal economic value of forest carbon per hectare. A systematic review of scientific literature leads to the selection of 60 primary studies from 30 different countries published between 1990 to 2021. The meta-analysis identified wide variations in economic values of forest carbon across the globe. The outcome of the meta-analysis reveals that global economic value of forest carbon is USD2005 per hectare. This study provides an insight on the marginal economic value of global forest carbon which would be helpful to understand the necessity of avoiding deforestation and conserving more forested areas that ultimately helps to mitigate global climate change through emission reduction.

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Achieving sustainable development through economic growth, energy consumption, and agricultural productivity in China

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Large amount of carbon emission is the main hazard to environment and human health. The aim of this research is to investigate the impact of economic growth, forest zone, agricultural productivity, and energy consumption on environmental pollution in China using time series data from 1980 to 2020. The underline research utilized dynamic ordinary least‐squares (DOLS) method, Johansen and Engle–Granger cointegration tests, and the autoregressive‐distributed lag (ARDL) technique to analyze the varying data set. To compare findings, fully modified ordinary least squares (FMOLS) and canonical cointegrating regression (CCR) estimators are estimated. Energy use and population raise CO2 emissions with 1% economic development. Long‐term CO2 emissions may be reduced by 1% agriculture production and forestry zone growth. The Granger causality test showed causation between all variables. Results reveal that China might achieve sustainable development goals by cutting down CO2 emissions and mitigate global climate change. The underline research presents policy recommendations for attaining environmental sustainability in China through green investment by reducing carbon emissions. These policies highlight promoting use of renewable energy, financing green technological progression in agricultural productivity, and the ecological feasibility of China's forests.

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Cost–Benefit Analysis of Climate Change Mitigation Measures in the Forestry Sector of Peninsular Malaysia

Cited by 74 publications

References 40 publications

Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia

Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia

A meta-analysis of the economic value of forest carbon stock

Achieving sustainable development through economic growth, energy consumption, and agricultural productivity in China

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