Ben Drakeford

Dr. Ben Drakeford

Centre for Blue Governance, University of Portsmouth, Portsmouth PO1 3DE, UK
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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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MHMin Hong
Min Hong
ZLZhenghui Li
Zhenghui Li
BDBen Drakeford
Ben Drakeford
Green technology innovation is regarded as an important means to achieve sustainable development. Countries all over the world mainly implement green technology innovation policies from the aspects of environmental regulation and financing constraints. The effect of financing constraint policy on enterprise green technology innovation remains to be investigated. Based on the event of “green credit guidelines” issued by China Banking Regulatory Commission in 2012, this paper collects the panel data of China’s 2825 listed companies from 2007 to 2018, constructs a difference-in-difference model, and studies the impact of green credit guidelines on corporate green technology innovation and its mechanism. The empirical results show: First, green credit guidelines can promote corporate green technology innovation on the whole. Second, the mechanism of green credit on enterprise green technology innovation is identified. Green credit guidelines mainly limited green technology innovation through reducing debt financing, rather than through financing constraints. Third, the impact of green credit guidelines on green technology innovation is heterogeneous. Green credit guidelines have a significant effect on the green technology innovation of state-owned and large enterprises, but have no effect on the green technology innovation of non-state-owned and small ones.

8 July 2019 in Aquaculture International
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Journal Article
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EPExequiel Gonzalez Poblete
Exequiel Gonzalez Poblete
BDBen Drakeford
Ben Drakeford
FFFelipe Hurtado Ferreira
Felipe Hurtado Ferreira
MBMakarena Garrido Barraza
Makarena Garrido Barraza
pierre faillerpierre failler
pierre failler
Since the 1980s, aquaculture has developed rapidly around the world, outpacing all other sources of animal protein production. Chile is the largest producer in South America, with an export-driven aquaculture industry. Aquaculture development in Chile has largely focussed on three high-value species (Atlantic salmon, Rainbow trout and Chilean blue mussel). These three species accounted for over 90% of the volume and value of Chilean exports by 2014. The paper considers the role of trade and markets on Atlantic salmon production in Chile and the role of government regulators and industry to facilitate a further sustainable increase in farmed salmon output. Specifically, we address the opportunities and constraints regarding the impact of trade and markets for further industry expansion. We find that production constraints (e.g. regulation, over-production), marketing constraints (e.g. consumer perception) and environmental constraints (e.g. disease) have led to stagnating and sometimes declining production, preventing Chile from surpassing Norway and becoming the world’s largest Atlantic salmon producer. The paper concludes that the signs for further growth are positive in Chile, although to date, it is noted that industry expansion has outpaced developments in infrastructure, regulation and research and development. Most significantly, the industry has been blighted with environmental problems, which has weakened market share in recent years. However, better regulatory practice in Chile in recent years has been seen as positive in international markets. We note that further development in the regulatory framework and continued aspirations to meet certification standards (e.g. Aquaculture Stewardship Council, Global Aquaculture Alliance Certification) could lead to increased market share for Chilean farmed salmon in the future.

21 November 2019 in Energies
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Journal Article
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SCShuanglian Chen
Shuanglian Chen
ZHZhehao Huang
Zhehao Huang
BDBen Drakeford
Ben Drakeford
pierre faillerpierre failler
pierre failler
Green loans are a way of financing green innovation. Two important factors, the lending interest rate and the loaning scale, should be focused on. In this paper, we explore the impact of lending interest rates and loaning scale on green innovation. We show that the incentive of green innovation strongly depends on the lending interest rate and the loaning scale through model analysis. Moreover, the dependence is summarized as a two-step strategy. In the first step, the lending interest rate should be lower than some rate thresholds given in the paper. Otherwise, green innovation fails to be stimulated. In the second step, if the lending interest rate is lower than the given rate threshold, then the practical loaning scale should lie between two thresholds of loaning scale derived in the paper, such that the green innovation will be stimulated. What is more, to guarantee the green effect of the innovation on the environment, we construct a threshold of loaning scale. If the loaning scale is larger than this threshold, then the innovation will show green effect on the environment. Otherwise, green innovation loses its environmental significance. The government stimulates green innovation through government subsidy. In this paper, we consider three kinds of government subsidy, including a subsidy for the bank, subsidy for the enterprise before and after implementing green innovation. Some appropriate government subsidy scales are presented.

29 January 2021 in Aquaculture International
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SASheikh AftabUddin
Sheikh AftabUddin
MHM. Gulam Hussain
M. Gulam Hussain
MAMamun Abdullah Al
Mamun Abdullah Al
pierre faillerpierre failler
pierre failler
BDBen Drakeford
Ben Drakeford
Development of a blue economy is firmly embedded in the development plans of Bangladesh. Advances in freshwater aquaculture have promoted Bangladesh to the fifth largest fish producer in the world. However, the marine resource base of Bangladesh, which is now even greater following the recent settling of disputes regarding maritime boundaries with neighbouring countries, lends itself to the development of marine aquaculture—known as mariculture. Several potential areas and opportunities for mariculture development have been identified for implementation under the concept of blue economy development in Bangladesh. We identify the most promising fish species as the hilsa shad (Tenualosa ilisha), seabass (Lates calcarifer) and the grey mullet (Mugil cephalus), and the shrimp species as black tiger shrimp (Penaeus monodon), brown shrimp (Metapenaeus monoceros), Indian white shrimp (Penaeus indicus) and the mud crab (Scylla serata). Further, some non-traditional marine species like seaweed, microalgae, shellfish (mussel, oyster) and the sea cucumber offer considerable potential. However, there remain major challenges and constraints that need to be addressed in order for mariculture to further develop and contribute to a growing blue economy in Bangladesh. Most notably, ministries, departments and research institutions, along with interested private entrepreneurs, must collaborate to formulate strategies for effective development and implementation, so that mariculture can contribute to food security and economic development through export opportunities.

29 August 2020 in Energies
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JPJiaying Peng
Jiaying Peng
ZLZhenghui Li
Zhenghui Li
BDBen Drakeford
Ben Drakeford
The uncertainty in the evolution of crude oil price fluctuation has a significant impact on economic stability. Based on the decomposition of crude oil price fluctuation by the state-space model, this paper studies the fluctuation trend of crude oil prices and its causes. The nonlinearity autoregressive distribute lag approach (NARDL) model is used to capture the influence mechanism characteristics of crude oil prices at different positions and different fluctuation trends. An event study model with dummy variables is constructed to compare the effects of different types of events on crude oil price fluctuations. The empirical results indicate that the fluctuation of crude oil prices tends to strengthen on the whole, and there is a remarkable correlation between this trend and the influencing mechanism of crude oil price, namely, the fluctuation source structure. The influence mechanism of crude oil price fluctuation is asymmetric when the crude oil price is at different positions and under different trends. There is a strong correlation between event shocks and event types in the evolution of crude oil price fluctuation.

17 May 2023 in Marine Pollution Bulletin
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Journal Article
Open access
BDBen Drakeford
Ben Drakeford
AFAndy Forse
Andy Forse
PFPierre Failler
Pierre Failler
We address the economic impacts of the role of Biodegradable Fishing Gear (BFG) as a mitigation measure for the ghost fishing impact of lost fishing gear, through scenarios based on industry interviews. We find that the use of BFG is a technical challenge and not an economic problem. The majority of costs to fishermen in terms of BFG use are not related to investment and maintenance costs rather the impact of reduced fishing efficiency. At the Channel static gear fishery level, we estimate the costs of implementing BFG to be as high as £8 million. If the issue of fishing efficiency was resolved (i.e. BFG was a like-for-like) then the large negative costs could be overturned to between a cost of £880,000 and a small positive benefit of around £150,000. Considering the negative environmental impacts of lost gear, the benefits of BFG use over traditional fishing gear would grow exponentially.