Department of Banking and Finance, Faculty of Economics and Administrative Sciences, Near East University, Nicosia, 99138, North Cyprus, 10, Mersin, Turkey.
Institute of Business Studies and Leadership, Faculty of Business and Economics, Abdul Wali Khan University, Mardan, Pakistan.
Environ Sci Pollut Res Int. 2021 Jul;28(27):36344-36353. doi: 10.1007/s11356-021-13156-6. Epub 2021 Mar 10.
The majority of studies investigating the environmental Kuznets curve predominantly focus on atmospheric indicators, thereby neglecting other environmental indicators such as land, sea, coastal, coral reefs, freshwater, and biodiversity indicators. This study aims to examine the environmental Kuznets curve by using capture fisheries production as a biodiversity indicator. The study uses a panel of 14 countries, of which 10 are newly industrialized and the other 4 are fast-emerging countries. The study applies the CADF and CIPS unit root tests to identify the integration order as proposed by Pesaran (2007). After identifying the unique order of integration, the Westerlund (2007) panel cointegration is applied. A long-run relationship is confirmed among the variables. The study revealed that an N-pattern relationship exists between capture fisheries production (CFP) and growth of the economy in the panel of selected countries. The industry focuses on achieving a cleaner environment and promotes the sustainable development of the fisheries. Financial development has a negative and significant effect on CFP. This reflects that domestic credit is not only used for the capture of fish but also for conservation purposes. The exports of goods and services have a positive relationship with CFP, while imports have a negative and significant effect on CFP. Policies to promote investments in the conservation of fisheries should be implemented, and credit creation should be directed by appropriate legislation to ensure the conservation of biodiversity and environmental sustainability.
大多数研究环境库兹涅茨曲线的主要集中在大气指标上，从而忽略了其他环境指标，如土地、海洋、沿海、珊瑚礁、淡水和生物多样性指标。本研究旨在通过使用捕捞渔业产量作为生物多样性指标来检验环境库兹涅茨曲线。本研究使用了 14 个国家的面板数据，其中 10 个是新兴工业化国家，另外 4 个是快速崛起的国家。本研究应用 CADF 和 CIPS 单位根检验来确定 Pesaran（2007 年）提出的整合顺序。在确定独特的整合顺序后，应用 Westerlund（2007 年）面板协整。验证了变量之间存在长期关系。研究表明，在所选择的国家面板中，捕捞渔业产量（CFP）与经济增长之间存在 N 型关系。该行业专注于实现更清洁的环境，并促进渔业的可持续发展。金融发展对 CFP 有负向和显著的影响。这反映出国内信贷不仅用于捕捞鱼类，也用于保护目的。货物和服务出口与 CFP 呈正相关，而进口对 CFP 有负向和显著的影响。应该实施促进渔业保护投资的政策，并且应该通过适当的立法来引导信贷创造，以确保生物多样性和环境可持续性的保护。
