scholarly journals Simulating the Impact of Carbon Taxes on Greenhouse Gas Emission and Nutrition in the UK

2018 ◽  
Vol 10 (2) ◽  
pp. 134 ◽  
Author(s):  
Cesar Revoredo-Giha ◽  
Neil Chalmers ◽  
Faical Akaichi
Keyword(s):  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Carbon Taxes ◽  
Gas Emission ◽  
The Uk ◽  
The Impact

PESTICIDE AND GREENHOUSE GAS EXTERNALITIES FROM US AGRICULTURE — THE IMPACT OF THEIR INTERNALIZATION AND CLIMATE CHANGE

2013 ◽  
Vol 04 (03) ◽  
pp. 1350008 ◽  
Author(s):  
NIKOLINKA SHAKHRAMANYAN ◽  
UWE A. SCHNEIDER ◽  
BRUCE A. McCARL
Keyword(s):  
Climate Change ◽  
Greenhouse Gas ◽  
Agricultural Sector ◽  
Greenhouse Gas Emission ◽  
Production Costs ◽  
Net Income ◽  
Gas Emission ◽  
Emission Mitigation ◽  
The Us ◽  
The Impact

Climate change may affect the use of pesticides and their associated environmental and human health impacts. This study employs and modifies a partial equilibrium model of the US agricultural sector to examine the effects of alternative regulations of the pesticide and greenhouse gas emission externality. Simulation results indicate that without pesticide externality regulations and low greenhouse gas emission mitigation strategy, climate change benefits from increased agricultural production in the US are more than offset by increased environmental costs. Although the combined regulation of pesticide and greenhouse gas emission externalities increases farmers' production costs, their net income effects are positive because of price adjustments and associated welfare shifts from consumers to producers. The results also show heterogeneous impacts on preferred pest management intensities across major crops. While pesticide externality regulations lead to substantial increases in total water use, climate policies induce the opposite effect.

scholarly journals Effects of Climate Change on the Distribution of Akebia quinata

2021 ◽  
Vol 9 ◽  
Author(s):  
Jun-Ming Zhang ◽  
Min-Li Song ◽  
Zhen-Jian Li ◽  
Xiang-Yong Peng ◽  
Shang Su ◽  
...  
Keyword(s):  
Climate Change ◽  
East Asia ◽  
Distribution Pattern ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Climate Factors ◽  
Gas Emission ◽  
Tropical Zone ◽  
Geometric Center ◽  
The Impact

Akebia quinata, also known as chocolate vine, is a creeping woody vine which is used as Chinese herbal medicine, and found widely distributed in East Asia. At present, its wild resources are being constantly destroyed. This study aims to provide a theoretical basis for the resource protection of this plant species by analyzing the possible changes in its geographic distribution pattern and its response to climate factors. It is the first time maximum entropy modeling (MaxEnt) and ArcGIS software have been used to predict the distribution of A. quinata in the past, the present, and the future (four greenhouse gas emission scenarios, namely, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). Through the prediction results, the impact of climate change on the distribution of A. quinata and the response of A. quinata to climate factors were analyzed. The results showed that the most significant climatic factor affecting the distribution pattern of A. quinata was the annual precipitation. At present, the suitable distribution regions of A. quinata are mainly in the temperate zone, and a few suitable distribution regions are in the tropical zone. The medium and high suitable regions are mainly located in East Asia, accounting for 51.1 and 81.7% of the worldwide medium and high suitable regions, respectively. The migration of the geometric center of the distribution regions of A. quinata in East Asia is mainly affected by the change of distribution regions in China, and the average migration rate of the geometric center in each climate scenario is positively correlated with the level of greenhouse gas emission scenario.

scholarly journals Future Predictions of Rainfall and Temperature Using GCM and ANN for Arid Regions: A Case Study for the Qassim Region, Saudi Arabia

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1260 ◽  
Author(s):  
Khalid Alotaibi ◽  
Abdul Ghumman ◽  
Husnain Haider ◽  
Yousry Ghazaw ◽  
Md. Shafiquzzaman
Keyword(s):  
Saudi Arabia ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Data Driven ◽  
Emission Scenarios ◽  
Gas Emission ◽  
The Future ◽  
Emissions Scenarios ◽  
The Impact

Future predictions of rainfall patterns in water-scarce regions are highly important for effective water resource management. Global circulation models (GCMs) are commonly used to make such predictions, but these models are highly complex and expensive. Furthermore, their results are associated with uncertainties and variations for different GCMs for various greenhouse gas emission scenarios. Data-driven models including artificial neural networks (ANNs) and adaptive neuro fuzzy inference systems (ANFISs) can be used to predict long-term future changes in rainfall and temperature, which is a challenging task and has limitations including the impact of greenhouse gas emission scenarios. Therefore, in this research, results from various GCMs and data-driven models were investigated to study the changes in temperature and rainfall of the Qassim region in Saudi Arabia. Thirty years of monthly climatic data were used for trend analysis using Mann–Kendall test and simulating the changes in temperature and rainfall using three GCMs (namely, HADCM3, INCM3, and MPEH5) for the A1B, A2, and B1 emissions scenarios as well as two data-driven models (ANN: feed-forward-multilayer, perceptron and ANFIS) without the impact of any emissions scenario. The results of the GCM were downscaled for the Qassim region using the Long Ashton Research Station’s Weather Generator 5.5. The coefficient of determination (R2) and Akaike’s information criterion (AIC) were used to compare the performance of the models. Results showed that the ANNs could outperform the ANFIS for predicting long-term future temperature and rainfall with acceptable accuracy. All nine GCM predictions (three models with three emissions scenarios) differed significantly from one another. Overall, the future predictions showed that the temperatures of the Qassim region will increase with a specified pattern from 2011 to 2099, whereas the changes in rainfall will differ over various spans of the future.

Impact of Green Supply Chain Management (GSCM) on Business Performance and Environmental Sustainability: Case of a Developing Country

2021 ◽  
pp. 227853372098308
Author(s):  
Rasheda Akter Rupa ◽  
Abu Naser Mohammad Saif
Keyword(s):  
Greenhouse Gas ◽  
Waste Disposal ◽  
Environmental Sustainability ◽  
Business Performance ◽  
Greenhouse Gas Emission ◽  
Resource Consumption ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Gas Emission ◽  
The Impact

In this Fourth Industrial Revolution (4IR), sustainable development for business firms depends on maintaining sustained performance and environmental sustainability to a great extent. The current study discovers the impact of green supply chain management (GSCM) practices on business performance and the environmental sustainability of a developing country, Bangladesh. Cost and profit are the two important indicators of business performance. On the other hand, environmental sustainability is expressed by waste disposal, resource consumption, and greenhouse gas emission. Primary data were collected through the distribution of web links and direct interaction with the participants of different firms practicing GSCM practices in Bangladesh. A structured questionnaire was used for data collection. Hypotheses were formulated and evaluated accordingly. This study found that the impact of implementation of GSCM practices differs with respect to cost, profit, waste disposal, resource consumption, and greenhouse gas emission. GSCM practices have a statistically significant impact on cost, waste disposal, resource consumption, and greenhouse gas emission. The impact of GSCM practices on profit was statistically insignificant. It was found that lack of IT implementation, high cost of waste disposal, uncertainty and competition in the market, resistance to change, and lack of top management support are the major barriers to implement GSCM practices in Bangladesh.

scholarly journals Greenhouse Gas Emission Widens Income Inequality in Africa

2021 ◽  
Author(s):  
Biruk Birhanu Ashenafi
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Income Inequality ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Development Policy ◽  
Greenhouse Gas Emission ◽  
Gas Emission ◽  
Gas Emissions ◽  
The Impact

Abstract Over the past couple of decades, we have witnessed a rise in greenhouse gas emissions and widening income inequality that threaten human well-being. Addressing these challenges and ensuring sustainable economic growth becomes a pressing issue for the development policy agendas across Africa. This paper offers an answer for the impact of greenhouse gas emissions on income inequality by taking the most vulnerable region. In doing so, a panel data set from 1981–2015 across 49 countries are used and applied a panel data fixed effect regression and instrumental variable method (IV). We establish s causal relationship and show that greenhouse gas emission widens income inequality. We further cemented our baseline finding using alternative emission indicators typical to the Agrarian society. Our findings shed light on alternative development policy choices to the African continent where the traditional policy prescription does not fit the current dynamics in demography, urbanization, and agricultural practices. Hence, we emphasize the Agriculture Development Lead Industrialization (ADLI) policy that places high importance on transforming the livelihood of the people engaged in agriculture. The approach has proven to unlock the trinity challenge posed by environmental degradation, income inequality, and stagnant economic growth. Indeed, industrialization can be realized through transforming agriculture first. Adding value to agriculture reduces emission, redistributes income, and eventually maintains steady per capita income growth in Africa.

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