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 Does Construct Multidimensionality Matter? A Nuanced Examination of the Relationship among Supply Chain Integration, Green Supply Chain Management, and Business Performance

2019 ◽  
Vol 11 (19) ◽  
pp. 5455
Author(s):  
Ni ◽  
Sun
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Environmental Sustainability ◽  
Business Performance ◽  
Supply Chain Integration ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Different Dimensions ◽  
The Impact

Built on the idea that supply chain integration (SCI) and green supply chain management (GSCM) are both multidimensional constructs, this paper empirically investigates the impact of different dimensions of SCI on different practices of GSCM and the contribution of different practices of GSCM to business performance. The aim is to uncover the distinctive role of each dimension in achieving environmental sustainability along the supply chain. A conceptual model is proposed to link supplier and customer integration to both internal GSCM within the company and external GSCM with the suppliers as well as business performance. The study is based on a survey of Chinese manufacturing companies. The results show that integration with suppliers only supports external GSCM while integration with the customer supports both internal and external GSCM. It also finds that external GSCM has no positive relationship with business performance but supports internal GSCM, which positively influences companies’ business performance. The results suggest that considering construct multidimensionality brings the opportunity of closely scrutinizing the relationships between SCI, GSCM, and business performance. Different dimensions have different effects in achieving environmental sustainability by integrating different partners along the supply chain. The separation of internal and external GSCM and the exploration of the result of the multidimensionality of the proposed constructs may be contributions to this field. The implications of supporting a green supply chain are explored.

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.

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