Modelling the impact of climate change risk on bioethanol supply chains

Ghadge, Abhijeet; Werf, Sjoerd van der; Kara, Merve Er; Goswami, Mohit; Kumar, Pankaj; Bourlakis, Michael

doi:10.1016/j.techfore.2020.120227

Cited by 23 publications

(12 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Numerous factors on environments cause direct or indirect changes in the process of the system such as LULC transformation, climate change, socio-economic factors, cultural and demographic factors (Uzun and Somuncu 2013;Temiz et al 2017;Olena 2017;Abhijeet et al 2020). This study utilised multifaceted factors like climatic, environmental, terrain and demographic factors to assess land degradation along with its strength and weakness of the watershed.…”

Section: Discussionmentioning

confidence: 99%

Natural And Human-Induced Land Degradation And Its Impact Using Geospatial Approach In The Kallar Watershed Of Tamil Nadu, India

Rahaman

Solavagounder

2020

GES

View full text Add to dashboard Cite

Land degradation is human-induced and natural process that adversely affects the land, to function effectively within a complex ecosystem. In recent years, the Kallar watershed has encountered various kinds of multifarious problems on both land and water in the urban and its environs. The upper part of the study area is facing water scarcity problems in the past few years, but which included no such rare occurrences in the past. The mid-portion in the vicinity of foothills are highly affected by soil erosion, whereas the lower portion of the area has faced problems like land degradation, such as an unusual increase of wastelands and conversion of good agriculture lands into construction plots. Apart from these, the study area is frequently affected by nature induced disasters like a landslide, forest fire, flooding, and drought. In this complex situation, the qualitative assessment of human-induced land degradation and its impact is essential. For this, Geospatialbased Multi-Criteria Evaluation (MCE) as a multidisciplinary approach has been adopted. To assess land degradation, six major criterions are preferred such as terrain (slope, elevation), environment (landuse/land cover, NDVI), soil erosion, and demography (population density). Considerable weights and ranks were assigned through an empirical MCE method. Based on the criteria, the land degradation was carefully delineated into five significant categories such as low (38.3%), moderately (23.6%), marginally (15.4%), highly (4.8%), and severely degraded (17.8%). The depletion of vegetation cover on hilly terrain and subsequent cultivation without proper protection measures constitute the possible reason for severe soil erosion and land degradation.

show abstract

Section: Discussionmentioning

confidence: 99%

Natural And Human-Induced Land Degradation And Its Impact Using Geospatial Approach In The Kallar Watershed Of Tamil Nadu, India

Rahaman

Solavagounder

2020

GES

View full text Add to dashboard Cite

show abstract

“…The proposed model is developed and run using Vensim (a commercial simulation software) for a period of 40 years (from 2020 to 2060). Obtaining reliable data beyond this time horizon is Ghadge, A., van der Werf, S., Er-Kara, M., Goswami, M., Kumar, P. and Bourlakis, M. (2020), "Modelling the impact of climate change risk on bioethanol supply chains," Technology Forecasting and Social Change, Accepted.…”

Section: Methodsmentioning

confidence: 99%

“…These factors make switchgrass a resilient feedstock towards expected future climate changes (Langholtz et al, 2014); however, they have not been assessed from the sustainability perspective. It is predicted that switchgrass yield can be doubled through foreseeable research-driven improvements (Kiniry et al, 2008); however, these crops are not commercially viable at the moment (RFA, Ghadge, A., van der Werf, S., Er-Kara, M., Goswami, M., Kumar, P. and Bourlakis, M. (2020), "Modelling the impact of climate change risk on bioethanol supply chains," Technology Forecasting and Social Change, Accepted.…”

Section: Figure 1 Operational Components Of a Biomass Supply Chainmentioning

confidence: 99%

“…While the unfilled demand in the base case is approximately three million gallons of ethanol in 2060, it reaches 19.5 million gallons of ethanol in the worst-case scenario. Both scenarios show that in both Ghadge, A., van der Werf, S., Er-Kara, M., Goswami, M., Kumar, P. and Bourlakis, M. (2020), "Modelling the impact of climate change risk on bioethanol supply chains," Technology Forecasting and Social Change, Accepted.…”

Section: Best and Worst-casementioning

confidence: 99%

See 1 more Smart Citation

Modelling the Impact of Climate Change Risk on Bio-Ethanol Supply Chains

Ghadge

Werf²,

et al. 2020

SSRN Journal

Self Cite

View full text Add to dashboard Cite

“…Accordingly, supply chains are expected to be more seriously exposed to the risks of the coronavirus in the short-term. Although health crises, such as epidemics, are more difficult to understand as they are scarce and unpredictable ( Ratten, 2020 ), the evidence indicates that existing literature on the supply chains risks has been mostly limited to the common risks ( Dai & Liu, 2020 ; Ghadge et al, 2020 ; Munir et al, 2020 ; Xie et al, 2020 ), which can be controlled through interventions ( Ratten, 2020 ). Recently, some scholars have focused on several agri-food supply chains in the context of the coronavirus outbreak ( Ivanov, 2020 ; Paul & Chowdhury, 2020 ; Singh et al, 2020 ; Wang et al, 2020 ; Yu et al, 2020 ; Coluccia et al, 2021 ; Nchanji et al, 2021 ; Tougeron & Hance, 2021 ); however, there is still no comprehensive understanding of the impacts of this ongoing crisis on supply chains at all stages.…”

Section: Introductionmentioning

confidence: 99%

Surveying the impact of the coronavirus (COVID-19) on the poultry supply chain: A mixed methods study

Palouj¹,

Adaryani

Alambeigi

et al. 2021

Food Control

View full text Add to dashboard Cite

The coronavirus pandemic (COVID-19) has affected all supply chains through severe disruption of logistics activities, production, and markets. This study aimed to survey the impact of the coronavirus on the poultry supply chain using an exploratory sequential mixed design. We first addressed those stages of the poultry supply chain disrupted in an ongoing pandemic, and then elaborated particular disturbances associated with each stage. This study was based on data collected from Iranian poultry industry owners and experts who had sufficient experience in agricultural supply chains as well. As the qualitative phase, the content analysis was conducted to identify the impacts of the coronavirus on the poultry supply chain. The results and conclusions that emerged from the qualitative phase were refined and weighted by the Fuzzy Delphi Method (FDM) and the Fuzzy Analytic Hierarchy Process (FAHP) respectively, in the quantitative phase. The results suggested that the pandemic has further affected the input supply as a stage in the poultry supply chain. This is probably because of the fact that the poultry industry is heavily dependent on inputs' flow. In addition, supply chain governance was seriously impaired due to the persistence of the pandemic. The coronavirus pandemic has significantly affected the stages that are most reliant on transportation. Finally, we found that a part of the disruptions that occur in the downstream of the supply chain is due to the epidemic's direct adverse effects, and another part is due to indirect consequences received from the upstream. Our findings and implications can be useful in decision-making procedures during ongoing epidemics.

show abstract

Modelling the impact of climate change risk on bioethanol supply chains

Cited by 23 publications

References 54 publications

Natural And Human-Induced Land Degradation And Its Impact Using Geospatial Approach In The Kallar Watershed Of Tamil Nadu, India

Natural And Human-Induced Land Degradation And Its Impact Using Geospatial Approach In The Kallar Watershed Of Tamil Nadu, India

Modelling the Impact of Climate Change Risk on Bio-Ethanol Supply Chains

Surveying the impact of the coronavirus (COVID-19) on the poultry supply chain: A mixed methods study

Contact Info

Product

Resources

About