Investigating the fishing grounds load capacity curve in G7 nations: Evaluating the influence of human capital and renewable energy use
This paper introduces a novel approach to explore marine ecosystem by examining the Fishing Grounds Load Capacity Curve (FGLCC) hypothesis. The study investigates the impact of income on the marine condition in G7 nations from 1970 to 2019 by exploring the U-shaped relationship between income and th...
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Veröffentlicht in: | Marine pollution bulletin 2023-09, Vol.194, p.115413-115413, Article 115413 |
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description | This paper introduces a novel approach to explore marine ecosystem by examining the Fishing Grounds Load Capacity Curve (FGLCC) hypothesis. The study investigates the impact of income on the marine condition in G7 nations from 1970 to 2019 by exploring the U-shaped relationship between income and the Fishing Grounds Load Capacity Factor (FGLCF). This research diverges from previous studies focused solely on the demand side through fishing footprints, as it considers the neglected aspect of the marine supply side. Furthermore, it explores the influence of renewable energies and human capital as indicators inversely related to non-renewable energy use and population on the marine condition. The findings reveal the U-shaped FGLCC hypothesis. Additionally, the results demonstrate that renewable energies and human capital have a positive impact on the marine ecosystem. These outcomes provide valuable insights for decision-makers, enabling them to identify key variables that contribute to the preservation of marine diversity.
[Display omitted]
•Fishing Grounds Load Capacity Curve (FGLCC) hypothesis is investigated for G7 nations.•The Fishing Grounds Load Capacity Factor (FGLCF) is used as the marine ecosystem indicator.•The FGLCC hypothesis is validated with the turning point of 6.581,381 US Dollars.•Human capital is still ineffective in curbing the devastating effect of population. |
doi_str_mv | 10.1016/j.marpolbul.2023.115413 |
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[Display omitted]
•Fishing Grounds Load Capacity Curve (FGLCC) hypothesis is investigated for G7 nations.•The Fishing Grounds Load Capacity Factor (FGLCF) is used as the marine ecosystem indicator.•The FGLCC hypothesis is validated with the turning point of 6.581,381 US Dollars.•Human capital is still ineffective in curbing the devastating effect of population.</description><identifier>ISSN: 0025-326X</identifier><identifier>EISSN: 1879-3363</identifier><identifier>DOI: 10.1016/j.marpolbul.2023.115413</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>FGLCC ; Fishing grounds load capacity factor ; Human capital ; Renewable energy</subject><ispartof>Marine pollution bulletin, 2023-09, Vol.194, p.115413-115413, Article 115413</ispartof><rights>2023 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-708ec76b0bc8801f00627c48ec61fe3518b742d612cd62166a11fb530642364b3</citedby><cites>FETCH-LOGICAL-c397t-708ec76b0bc8801f00627c48ec61fe3518b742d612cd62166a11fb530642364b3</cites><orcidid>0000-0003-1624-3456</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0025326X23008470$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Ayad, Hicham</creatorcontrib><title>Investigating the fishing grounds load capacity curve in G7 nations: Evaluating the influence of human capital and renewable energy use</title><title>Marine pollution bulletin</title><description>This paper introduces a novel approach to explore marine ecosystem by examining the Fishing Grounds Load Capacity Curve (FGLCC) hypothesis. The study investigates the impact of income on the marine condition in G7 nations from 1970 to 2019 by exploring the U-shaped relationship between income and the Fishing Grounds Load Capacity Factor (FGLCF). This research diverges from previous studies focused solely on the demand side through fishing footprints, as it considers the neglected aspect of the marine supply side. Furthermore, it explores the influence of renewable energies and human capital as indicators inversely related to non-renewable energy use and population on the marine condition. The findings reveal the U-shaped FGLCC hypothesis. Additionally, the results demonstrate that renewable energies and human capital have a positive impact on the marine ecosystem. These outcomes provide valuable insights for decision-makers, enabling them to identify key variables that contribute to the preservation of marine diversity.
[Display omitted]
•Fishing Grounds Load Capacity Curve (FGLCC) hypothesis is investigated for G7 nations.•The Fishing Grounds Load Capacity Factor (FGLCF) is used as the marine ecosystem indicator.•The FGLCC hypothesis is validated with the turning point of 6.581,381 US Dollars.•Human capital is still ineffective in curbing the devastating effect of population.</description><subject>FGLCC</subject><subject>Fishing grounds load capacity factor</subject><subject>Human capital</subject><subject>Renewable energy</subject><issn>0025-326X</issn><issn>1879-3363</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkEFrGzEUhEVpoY7b31Ade1lHT9qV1r2FkDiBQC4t9Ca02re2jCy50srFv6B_O7s4JMee3vCYGZiPkG_AVsBAXu9XB5OO0XfFrzjjYgXQ1CA-kAW0al0JIcVHsmCMN5Xg8vdncpXznjGmuIIF-fcYTphHtzWjC1s67pAOLu9mvU2xhD5TH01PrTka68YztSWdkLpAN4qGKRRD_kHvTsaX9wYXBl8wWKRxoLtyMGHOu9F4akJPEwb8azqPdBJpe6Yl4xfyaTA-49fXuyS_7u9-3j5UT8-bx9ubp8qKtRorxVq0Snass23LYGBMcmXr6SlhQNFA26ma9xK47SUHKQ3A0DWCyZoLWXdiSb5feo8p_inTcn1w2aL3JmAsWfO2qUWtgLeTVV2sNsWcEw76mNzE-qyB6Rm93us39HpGry_op-TNJYnTkpPDpLN1M4_eJbSj7qP7b8cLI9-SzA</recordid><startdate>202309</startdate><enddate>202309</enddate><creator>Ayad, Hicham</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1624-3456</orcidid></search><sort><creationdate>202309</creationdate><title>Investigating the fishing grounds load capacity curve in G7 nations: Evaluating the influence of human capital and renewable energy use</title><author>Ayad, Hicham</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-708ec76b0bc8801f00627c48ec61fe3518b742d612cd62166a11fb530642364b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>FGLCC</topic><topic>Fishing grounds load capacity factor</topic><topic>Human capital</topic><topic>Renewable energy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ayad, Hicham</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Marine pollution bulletin</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ayad, Hicham</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigating the fishing grounds load capacity curve in G7 nations: Evaluating the influence of human capital and renewable energy use</atitle><jtitle>Marine pollution bulletin</jtitle><date>2023-09</date><risdate>2023</risdate><volume>194</volume><spage>115413</spage><epage>115413</epage><pages>115413-115413</pages><artnum>115413</artnum><issn>0025-326X</issn><eissn>1879-3363</eissn><abstract>This paper introduces a novel approach to explore marine ecosystem by examining the Fishing Grounds Load Capacity Curve (FGLCC) hypothesis. The study investigates the impact of income on the marine condition in G7 nations from 1970 to 2019 by exploring the U-shaped relationship between income and the Fishing Grounds Load Capacity Factor (FGLCF). This research diverges from previous studies focused solely on the demand side through fishing footprints, as it considers the neglected aspect of the marine supply side. Furthermore, it explores the influence of renewable energies and human capital as indicators inversely related to non-renewable energy use and population on the marine condition. The findings reveal the U-shaped FGLCC hypothesis. Additionally, the results demonstrate that renewable energies and human capital have a positive impact on the marine ecosystem. These outcomes provide valuable insights for decision-makers, enabling them to identify key variables that contribute to the preservation of marine diversity.
[Display omitted]
•Fishing Grounds Load Capacity Curve (FGLCC) hypothesis is investigated for G7 nations.•The Fishing Grounds Load Capacity Factor (FGLCF) is used as the marine ecosystem indicator.•The FGLCC hypothesis is validated with the turning point of 6.581,381 US Dollars.•Human capital is still ineffective in curbing the devastating effect of population.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.marpolbul.2023.115413</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-1624-3456</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | FGLCC Fishing grounds load capacity factor Human capital Renewable energy |
title | Investigating the fishing grounds load capacity curve in G7 nations: Evaluating the influence of human capital and renewable energy use |
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