Measurement of the contributions of science and technology to the marine fisheries industry in the coastal regions of China

Lin, Xia; Li, Zheng; Li, Weiwen

doi:10.1016/j.marpol.2019.103647

Cited by 31 publications

(12 citation statements)

References 6 publications

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“…Therefore, two sets of data, aquatic skill business promotion funds and the number of fisherman skillful training, are standardized using the Min–Max standardization method, and the standardized values are summed to characterize the level of fishery skill promotion. Drawing on the research of Lin et al (2019), the sum of the standardized values of the number of research papers related to marine carbon sink fisheries and the number of related patents is selected to characterize the variable of fishery technology ( tech ) in this paper [ 50 ].…”

Section: Methodsmentioning

confidence: 99%

Evaluation and Determinants of the Digital Inclusive Financial Support Efficiency for Marine Carbon Sink Fisheries: Evidence from China

Zhu

2022

IJERPH

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The development of digital inclusive finance has greatly improved the feasibility of financial inclusion. Therefore, in the context of the constrained financing of marine carbon sink fisheries, we try to investigate whether digital inclusive finance exhibits a supportive effect on marine carbon sink fisheries and thus enhances the capacity of marine carbon sinks. Specifically, this paper empirically calculates the grey correlation between the development of digital inclusive finance and marine carbon sinks based on data in nine coastal provinces of China from 2011 to 2019. The empirical results show that the grey relational coefficients between the above two in China are more than 0.5, revealing a significant positive correlation. Then, on this basis, we estimate the digital inclusive financial support efficiency (DIFSE) for marine carbon sink fisheries by applying the Super-EBM model. In addition, the determinants affecting the DIFSE for marine carbon sink fisheries selected based on the grounded theory are explored through the Tobit model. The conclusions are as follows. First, there are time-varying characteristics and regional heterogeneity in DIFSE. Generally, the effect of China’s digital inclusive financial support for marine carbon sink fisheries is expanding year by year. Among them, the DIFSE in the northern marine economic circle is currently the highest, followed by that in the south and east. Second, the input of productive factors, promotion of fishery skill, development of fishery technology, and Internet coverage will significantly increase the value of DIFSE, while output structure, income level, fishery disasters, and marine pollution will have significant negative effects on DIFSE. These empirical results can help policymakers better understand the contribution of digital inclusive finance to marine carbon sink fisheries and provide them with valuable information for the formulation of supportive policies.

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Section: Methodsmentioning

confidence: 99%

Evaluation and Determinants of the Digital Inclusive Financial Support Efficiency for Marine Carbon Sink Fisheries: Evidence from China

Zhu

2022

IJERPH

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“…Focusing on the development needs of offshore, ecological, cage, factory farming and other aquaculture modes, we should strengthen technical cooperation and exchange with Norway, Japan, the United States and other countries, develop and manufacture high-end green equipment for marine fishery, improve the technical level and R & D capacity of fishery machinery, and enhance the supply capacity of marine fishery equipment. Comply with the concept of marine fishery ecological development, create low pollution and high standard marine fishery buildings, and provide high-quality artificial reefs for the construction of marine ranches [ 52 ]. We will promote the construction of mechanization, intelligence and ecology of marine fishery, and promote the progress of fishery technology and the improvement of industrial efficiency.…”

Section: Conclusion and Suggestionsmentioning

confidence: 99%

“…It is the comprehensive ability of industrial technology progress, management innovation, product quality improvement and structure advancement [ 5 ]. At present, the methods to measure TFP mainly include Solow residual method [ 6 – 8 ], stochastic frontier production function model [ 9 – 11 ], data envelopment analysis method [ 12 – 15 ], DEA-Malmquist index after optimization [ 16 , 17 ], and the four-component stochastic boundary model [ 18 ]. The transformation and upgrade of industrial structure is an important manifestation of economic growth [ 19 ], and promotes the transfer of factors such as capital, and labor from the low-productivity sector to the high-productivity sector, thereby improving the production efficiency of the entire sector [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis on the structure effect of marine fishery total factor productivity under high-quality development in China

2021

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Improving total factor productivity (TFP) is the source of power for high-quality development. Industrial structure optimization is an important way to improve TFP. This paper constructed an econometric model of industry structure changes impacting on TFP in the marine fisheries and conducted an empirical test and analysis. The results showed that the industry rationalization, softening and processing coefficient of marine fishery had a significant “structural dividend” for improving its TFP; while the impact of industrial structure advancement and aquaculture-catching structure changes did not have “structural dividend”, but it could be a combination of other factors to reduce these adverse effects.We believe that simply pursuing the advanced evolution of the industrial structure is not conducive to sustainable development of fishery. Under the pursuit of the rationalization of the marine fishery industry structure, by promoting the coordinated evolution of marine fisheries advancement, aquaculture-catching structure and other factors, the "structural dividend" effect can be enhanced and the fishery can achieve sustainable development. Finally, it proposed to promote the development of advancement and rationalization of marine fishery industry structure coordinately, adjust fishery science and technology transformation direction and key points, and accelerate the development of intensive processing industry by cross-border integration.

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“…Research on GTFP focused on its measurement [16], influencing factors [17], economic efficiency and high-quality economic development [18], and the impact between environmental regulation, technological innovation, foreign investment, and GTFP [19]. In the marine domain, science and technology could promote the total factor productivity of the marine economy [20], and the contribution of science and technology was regionally heterogeneous [21]. The total factor productivity of marine economy considering environmental factors has a downward trend [22,23].…”

Section: Introductionmentioning

confidence: 99%

Influence of the Evolution of Marine Industry Structure on the Green Total Factor Productivity of Marine Economy

Wei

Shen

et al. 2021

Water

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The 14th five-year plan emphasizes the importance of marine ecology and environmental protection, and the green concept is incorporated into the high-quality development system of the marine economy. This research used the data of 11 coastal provinces and cities in China from 2006 to 2016, based on the super-efficiency slack-based measure model and global Malmquist index model. The objective was to calculate the green total factor productivity (GTFP) of the marine economy, to study the impact of the evolution of the marine industrial structure on marine economic GTFP. The study found the following: (1) in general, the upgrade of marine industrial structure promoted the growth of marine economic GTFP and presented an inverted “U” trend of initially promoting and then suppressing. Spatially, only the advancement and rationalization of industrial structure in the Yellow and Bohai Sea regions inhibited the growth of marine economic GTFP. In terms of time, the advanced marine industrial structure promoted the growth of GTFP from 2006 to 2010, whereas that of industrial structure inhibited the growth of GTFP from 2011 to 2016. (2) The GTFP of the marine economy showed an increasing trend, but the conversion rate of production technology is low. Falling into the “efficiency trap” of highly advanced technology input and low-efficiency technology output should be avoided. (3) Affected by the mismatch of regional resources or industrial structure, government intervention showed an “opposite” mechanism in areas with different marine economic strengths. Government intervention in areas with higher marine economic strength was conducive to GTFP growth, whereas government intervention in areas with weaker marine economic strength would hinder GTFP growth.

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Measurement of the contributions of science and technology to the marine fisheries industry in the coastal regions of China

Cited by 31 publications

References 6 publications

Evaluation and Determinants of the Digital Inclusive Financial Support Efficiency for Marine Carbon Sink Fisheries: Evidence from China

Evaluation and Determinants of the Digital Inclusive Financial Support Efficiency for Marine Carbon Sink Fisheries: Evidence from China

Analysis on the structure effect of marine fishery total factor productivity under high-quality development in China

Influence of the Evolution of Marine Industry Structure on the Green Total Factor Productivity of Marine Economy

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