Towards a clean production by exploring the nexus between agricultural ecosystem and environmental degradation using novel dynamic ARDL simulations approach
Agriculture, which serves as a lifeline for us, is unequivocally vital for an agriculture-dependent economy like Bangladesh, not only for its food supply but also because of its significant contribution towards achieving Sustainable Development Goals (SDGs) 1 and 2. However, in a third-world nation...
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| Veröffentlicht in: | Environmental science and pollution research international 2022-07, Vol.29 (35), p.53768-53784 |
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| creator | Hossain, Md. Emran Islam, Md. Sayemul Sujan, Md. Hayder Khan Tuhin, Md. Mifta-Ul-Jannat Bekun, Festus Victor |
| description | Agriculture, which serves as a lifeline for us, is unequivocally vital for an agriculture-dependent economy like Bangladesh, not only for its food supply but also because of its significant contribution towards achieving Sustainable Development Goals (SDGs) 1 and 2. However, in a third-world nation like Bangladesh, where farming practices largely circumvent the environmental consequences, raised our concern. In this milieu, this study is a novel attempt to explore the association between agricultural ecosystem and environmental degradation in Bangladesh using a long time spanning from 1972 to 2018. We observed a long-run association between the agroecosystem and CO
2
emission. Further, findings from the dynamic autoregressive distributed lag (DARDL) simulation model revealed that the environmental quality of Bangladesh is heavily distorted by total cereal production, total livestock head, enteric methane emissions, N
2
O emissions from manure application, and CO
2
equivalent N
2
O emissions from synthetic fertilizers in the short and long run, whereas agricultural technology, pesticide use in agriculture, and burned biomass crop residue deteriorated the environmental quality only in the long run. The counterfactual diagram entailed from the DARDL model projected the trend of CO
2
emission in response to positive and negative changes in the analyzed variables. Lastly, this study established a causal relationship between the agroecosystem and environmental degradation using frequency domain causality. Indeed, our study will aid in reshaping agricultural practices in an eco-friendly manner to mitigate environmental degradation and help formulate pragmatic policy actions so that agro-lead nations can thrive in the race of achieving SDGs 1, 2, and 13. |
| doi_str_mv | 10.1007/s11356-022-19565-5 |
| format | Article |
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2
emission. Further, findings from the dynamic autoregressive distributed lag (DARDL) simulation model revealed that the environmental quality of Bangladesh is heavily distorted by total cereal production, total livestock head, enteric methane emissions, N
2
O emissions from manure application, and CO
2
equivalent N
2
O emissions from synthetic fertilizers in the short and long run, whereas agricultural technology, pesticide use in agriculture, and burned biomass crop residue deteriorated the environmental quality only in the long run. The counterfactual diagram entailed from the DARDL model projected the trend of CO
2
emission in response to positive and negative changes in the analyzed variables. Lastly, this study established a causal relationship between the agroecosystem and environmental degradation using frequency domain causality. Indeed, our study will aid in reshaping agricultural practices in an eco-friendly manner to mitigate environmental degradation and help formulate pragmatic policy actions so that agro-lead nations can thrive in the race of achieving SDGs 1, 2, and 13.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-022-19565-5</identifier><identifier>PMID: 35288858</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agricultural ecosystems ; Agricultural practices ; Agricultural technology ; Agriculture ; Agrochemicals ; agroecosystems ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Bangladesh ; Biomass burning ; Carbon dioxide ; Carbon dioxide emissions ; Causality ; Crop residues ; domain ; Earth and Environmental Science ; Ecotoxicology ; Emission analysis ; Emissions ; Energy crops ; Environment ; Environmental Chemistry ; Environmental degradation ; Environmental Health ; Environmental impact ; Environmental quality ; Environmental science ; Fertilizers ; food availability ; Food supply ; head ; issues and policy ; Livestock ; manure spreading ; methane ; Nitrous oxide ; Pesticides ; Research Article ; Simulation models ; Sustainable development ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2022-07, Vol.29 (35), p.53768-53784</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-847244770435e76058a768e0391976a73a6264b6c2f10e1e1a80f58d3e575fa3</citedby><cites>FETCH-LOGICAL-c408t-847244770435e76058a768e0391976a73a6264b6c2f10e1e1a80f58d3e575fa3</cites><orcidid>0000-0002-0464-4677</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-022-19565-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-022-19565-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35288858$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hossain, Md. Emran</creatorcontrib><creatorcontrib>Islam, Md. Sayemul</creatorcontrib><creatorcontrib>Sujan, Md. Hayder Khan</creatorcontrib><creatorcontrib>Tuhin, Md. Mifta-Ul-Jannat</creatorcontrib><creatorcontrib>Bekun, Festus Victor</creatorcontrib><title>Towards a clean production by exploring the nexus between agricultural ecosystem and environmental degradation using novel dynamic ARDL simulations approach</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>Agriculture, which serves as a lifeline for us, is unequivocally vital for an agriculture-dependent economy like Bangladesh, not only for its food supply but also because of its significant contribution towards achieving Sustainable Development Goals (SDGs) 1 and 2. However, in a third-world nation like Bangladesh, where farming practices largely circumvent the environmental consequences, raised our concern. In this milieu, this study is a novel attempt to explore the association between agricultural ecosystem and environmental degradation in Bangladesh using a long time spanning from 1972 to 2018. We observed a long-run association between the agroecosystem and CO
2
emission. Further, findings from the dynamic autoregressive distributed lag (DARDL) simulation model revealed that the environmental quality of Bangladesh is heavily distorted by total cereal production, total livestock head, enteric methane emissions, N
2
O emissions from manure application, and CO
2
equivalent N
2
O emissions from synthetic fertilizers in the short and long run, whereas agricultural technology, pesticide use in agriculture, and burned biomass crop residue deteriorated the environmental quality only in the long run. The counterfactual diagram entailed from the DARDL model projected the trend of CO
2
emission in response to positive and negative changes in the analyzed variables. Lastly, this study established a causal relationship between the agroecosystem and environmental degradation using frequency domain causality. Indeed, our study will aid in reshaping agricultural practices in an eco-friendly manner to mitigate environmental degradation and help formulate pragmatic policy actions so that agro-lead nations can thrive in the race of achieving SDGs 1, 2, and 13.</description><subject>Agricultural ecosystems</subject><subject>Agricultural practices</subject><subject>Agricultural technology</subject><subject>Agriculture</subject><subject>Agrochemicals</subject><subject>agroecosystems</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Bangladesh</subject><subject>Biomass burning</subject><subject>Carbon dioxide</subject><subject>Carbon dioxide emissions</subject><subject>Causality</subject><subject>Crop residues</subject><subject>domain</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Emission analysis</subject><subject>Emissions</subject><subject>Energy crops</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental degradation</subject><subject>Environmental Health</subject><subject>Environmental impact</subject><subject>Environmental quality</subject><subject>Environmental science</subject><subject>Fertilizers</subject><subject>food availability</subject><subject>Food supply</subject><subject>head</subject><subject>issues and policy</subject><subject>Livestock</subject><subject>manure spreading</subject><subject>methane</subject><subject>Nitrous oxide</subject><subject>Pesticides</subject><subject>Research Article</subject><subject>Simulation models</subject><subject>Sustainable development</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqFkU1rFDEYgIModq3-AQ8S8OJlNN8fx1KtCguC7H3IZt7ZTplJxmTSdv-LP7bZ3argQU-B5MmTNzwIvabkPSVEf8iUcqkawlhDrVSykU_QiioqGi2sfYpWxArRUC7EGXqR8w0hjFimn6MzLpkxRpoV-rmJdy51GTvsR3ABzyl2xS9DDHi7x3A_jzENYYeXa8AB7kvGW1juAAJ2uzT4Mi4luRGDj3mfF5iwCx2GcDukGCYISz3rYJdc547Okg-yEG-h7u-DmwaPL75_XOM8TGU8MnWWuU7h_PVL9Kx3Y4ZXj-s52lx92lx-adbfPn-9vFg3XhCzNEZoJoTWRHAJWhFpnFYGCLfUauU0d4opsVWe9ZQABeoM6aXpOEgte8fP0buTtr76o0Be2mnIHsbRBYglt0xTw6Xkhv4fVdwypite0bd_oTexpFD_USmrrK4JRaXYifIp5pygb-c0TC7tW0raQ-X2VLmtldtj5fagfvOoLtsJut9XfmWtAD8BeT7Eg_Tn7X9oHwCeKrRP</recordid><startdate>20220701</startdate><enddate>20220701</enddate><creator>Hossain, Md. 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Emran ; Islam, Md. Sayemul ; Sujan, Md. Hayder Khan ; Tuhin, Md. 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Emran</au><au>Islam, Md. Sayemul</au><au>Sujan, Md. Hayder Khan</au><au>Tuhin, Md. Mifta-Ul-Jannat</au><au>Bekun, Festus Victor</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Towards a clean production by exploring the nexus between agricultural ecosystem and environmental degradation using novel dynamic ARDL simulations approach</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2022-07-01</date><risdate>2022</risdate><volume>29</volume><issue>35</issue><spage>53768</spage><epage>53784</epage><pages>53768-53784</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>Agriculture, which serves as a lifeline for us, is unequivocally vital for an agriculture-dependent economy like Bangladesh, not only for its food supply but also because of its significant contribution towards achieving Sustainable Development Goals (SDGs) 1 and 2. However, in a third-world nation like Bangladesh, where farming practices largely circumvent the environmental consequences, raised our concern. In this milieu, this study is a novel attempt to explore the association between agricultural ecosystem and environmental degradation in Bangladesh using a long time spanning from 1972 to 2018. We observed a long-run association between the agroecosystem and CO
2
emission. Further, findings from the dynamic autoregressive distributed lag (DARDL) simulation model revealed that the environmental quality of Bangladesh is heavily distorted by total cereal production, total livestock head, enteric methane emissions, N
2
O emissions from manure application, and CO
2
equivalent N
2
O emissions from synthetic fertilizers in the short and long run, whereas agricultural technology, pesticide use in agriculture, and burned biomass crop residue deteriorated the environmental quality only in the long run. The counterfactual diagram entailed from the DARDL model projected the trend of CO
2
emission in response to positive and negative changes in the analyzed variables. Lastly, this study established a causal relationship between the agroecosystem and environmental degradation using frequency domain causality. Indeed, our study will aid in reshaping agricultural practices in an eco-friendly manner to mitigate environmental degradation and help formulate pragmatic policy actions so that agro-lead nations can thrive in the race of achieving SDGs 1, 2, and 13.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35288858</pmid><doi>10.1007/s11356-022-19565-5</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-0464-4677</orcidid></addata></record> |
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| ispartof | Environmental science and pollution research international, 2022-07, Vol.29 (35), p.53768-53784 |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Agricultural ecosystems Agricultural practices Agricultural technology Agriculture Agrochemicals agroecosystems Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Bangladesh Biomass burning Carbon dioxide Carbon dioxide emissions Causality Crop residues domain Earth and Environmental Science Ecotoxicology Emission analysis Emissions Energy crops Environment Environmental Chemistry Environmental degradation Environmental Health Environmental impact Environmental quality Environmental science Fertilizers food availability Food supply head issues and policy Livestock manure spreading methane Nitrous oxide Pesticides Research Article Simulation models Sustainable development Waste Water Technology Water Management Water Pollution Control |
| title | Towards a clean production by exploring the nexus between agricultural ecosystem and environmental degradation using novel dynamic ARDL simulations approach |
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