The Integration Planning of Marine Economy and Environment: Take China as an Example

Marine economy is an economic activity carried out in the sea and land areas whose activities are still related to marine resources. The marine sector is defined as seven sectors, namely: fisheries, marine tourism, mining, marine industry, sea transportation (marine transportation), marine building, marine services. This study used descriptive and impact analysis in the national Input-Output Table in 2010. The total output of the marine sector accounted for 27.39% of total national output. The GDP value in the marine sector is able to contribute 30.32% of the total national GDP. From the results of calculations regarding the analysis of the multiplier numbers by output, the formation of new output in the economy was 1.4087 units. Analysis of multiplier numbers by job opportunities causes an increase in employment opportunities by an average of 0.1451 units. The majority of the sectors of maritime tourism show high distribution power. The largest sub-sector with a sensitivity index value is the trade service sub-sector, which is 1.4608. Key words: descriptive analysis, impact analysis, marine economy, I-O table

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Impact of marine industrial structure on environmental efficiency

Management of Environmental Quality An International Journal ◽

10.1108/meq-06-2019-0119 ◽

2020 ◽

Vol 31 (1) ◽

pp. 111-129 ◽

Cited By ~ 7

Author(s):

Shuhong Wang ◽

Lu Xing ◽

Hanxue Chen

Keyword(s):

Human Capital ◽

Economic Development ◽

Ownership Structure ◽

Industrial Structure ◽

Environmental Efficiency ◽

Content Type ◽

Development Level ◽

Marine Economy ◽

Marine Environmental ◽

Land Economic

Purpose Recently, China has been paying increasing attention to how to improve the efficiency of the marine environment and realize a green and sustainable development of the marine economy. Consequently, the industrial structure is crucial to improving efficiency. The purpose of this paper is to introduce environmental factors into the efficiency analysis framework and explore the relationship between marine industrial structure and marine environmental efficiency. Design/methodology/approach This paper uses marine economic data under the DEA-BBC model to measure the marine environmental efficiency of provinces and cities and classifies them by cluster analysis. Then, the marine industrial structure and marine environmental efficiency are studied by an econometric model with human capital, ownership structure, land economic development level, scientific research input and government intervention degree as control variables. Findings The overall level of marine environmental efficiency is relatively low in China, increasing and then decreasing over the research period. The rationalization of industrial structure and scientific research input have significant promoting effects on marine environmental efficiency, while the degree of government intervention has a significant inhibiting effect. The positive effect of human capital on efficiency depends on whether it can be successfully converted into productivity. The effects of industrial structure advancement, ownership structure and land economic development level of on the marine environmental efficiency are mixed. Originality/value The results provide a theoretical and decision-making basis for China to transform and upgrade its marine industrial structure and sustainably develop the marine economy.

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Planning Computer Science Instruction for Students With High-Incidence Disabilities

Intervention in School and Clinic ◽

10.1177/10534512211024939 ◽

2021 ◽

pp. 105345122110249

Author(s):

Amy Hutchison ◽

Anya S. Evmenova

Keyword(s):

Computer Science ◽

Universal Design For Learning ◽

Computational Thinking ◽

Thinking Skills ◽

Science Content ◽

High Incidence ◽

Integration Planning ◽

Content Area Instruction ◽

Model Computer ◽

High Incidence Disabilities

States increasingly are adopting computer science standards to help students develop coding and computational thinking skills. In an effort to support teachers in introducing computer science content to their students with high-incidence disabilities, a new model, computer science integration planning plus universal design for learning (CSIP+) offers ways to integrate computational thinking and coding into content area instruction. This column presents an example of how a teacher might implement the CSIP+ model when designing instruction accessible to all learners. Guiding questions to support teachers at each phase of the planning cycle are provided.

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Exploring Cognition with Brain–Machine Interfaces

Annual Review of Psychology ◽

10.1146/annurev-psych-030221-030214 ◽

2022 ◽

Vol 73 (1) ◽

pp. 131-158

Author(s):

Richard A. Andersen ◽

Tyson Aflalo ◽

Luke Bashford ◽

David Bjånes ◽

Spencer Kellis

Keyword(s):

Posterior Parietal Cortex ◽

Sensory Information ◽

Movement Control ◽

Brain Machine Interfaces ◽

Motor Commands ◽

Cortical Motor ◽

Structured Representations ◽

Posterior Parietal ◽

Integration Planning ◽

Motor Actions

Traditional brain–machine interfaces decode cortical motor commands to control external devices. These commands are the product of higher-level cognitive processes, occurring across a network of brain areas, that integrate sensory information, plan upcoming motor actions, and monitor ongoing movements. We review cognitive signals recently discovered in the human posterior parietal cortex during neuroprosthetic clinical trials. These signals are consistent with small regions of cortex having a diverse role in cognitive aspects of movement control and body monitoring, including sensorimotor integration, planning, trajectory representation, somatosensation, action semantics, learning, and decision making. These variables are encoded within the same population of cells using structured representations that bind related sensory and motor variables, an architecture termed partially mixed selectivity. Diverse cognitive signals provide complementary information to traditional motor commands to enable more natural and intuitive control of external devices.

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Marine economic industrial structure based on fuzzy entropy and least square regression model

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189926 ◽

2021 ◽

pp. 1-6

Author(s):

Xiaoqing Zhao

Keyword(s):

Regression Model ◽

Industrial Structure ◽

Fuzzy Entropy ◽

Least Square ◽

Least Square Regression ◽

Marine Industry ◽

Structure Adjustment ◽

Marine Economy ◽

Industrial Structure Adjustment ◽

China’S Economy

China’s economy is in the critical period of transformation from a traditional land economy to a marine economy. China is rich in marine resources, facing important development opportunities and challenges. The adjustment of marine economic industrial structure is of great significance to promote the development of China’s marine economy. To intuitively analyze and clearly understand the effect of industrial structure adjustment of marine economy in recent years in China, using the data of China’s marine industry from 2008 to 2018, fuzzy entropy theory, and least square regression model, the influence of the scientificity and advancement of marine economic industrial structure adjustment on marine economic was analyzed. Results show that the fitting degree of the model is good and significant, with every 1% increase in the scientificity and height of marine economic industrial structure adjustment, the marine economy increases by 1.88% and 2.80%, respectively. The development of marine science and technology can promote the rise of the marine economy.

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Experiences in the Blue Economy Development of Northeast Asia Countries in the Context of Industrial Revolution 4.0 – Implication for Vietnam

Turkish Journal of Computer and Mathematics Education (TURCOMAT) ◽

10.17762/turcomat.v12i6.4821 ◽

2021 ◽

Vol 12 (6) ◽

pp. 2167-2175

Author(s):

Dr. Pham Ngoc Tram Et al.

Keyword(s):

Development Strategy ◽

Industrial Revolution ◽

Northeast Asia ◽

National Development ◽

Coastal Development ◽

Asian Countries ◽

Economic Sectors ◽

Marine Economy ◽

Global Concern ◽

Northeast Asian

In the 21st century, in addition to the growing population and the depletion of land-based mineral and energy resources, the development of coastal economic sectors has become a new global concern. Therefore, all marine countries in the world consider the development and use of marine resources an essential part of their national development strategy. The marine economy gradually stimulates competition among nations. This article is based on the synthesis of documents to learn and analyze experiences of coastal development in some Northeast Asian countries in the context of the Industrial Revolution 4.0. From there, draw reference lessons for Vietnam.

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Aspero, Peru: A Reexamination of the Site and Its Implications

American Antiquity ◽

10.2307/279151 ◽

1973 ◽

Vol 38 (4) ◽

pp. 452-468 ◽

Cited By ~ 27

Author(s):

M. Edward Moseley ◽

Gordon R. Willey

Keyword(s):

The Past ◽

Peruvian Coast ◽

Egalitarian Society ◽

Platform Mounds ◽

Marine Economy ◽

Preceramic Period

AbstractThe large preceramic site of Aspero, on the central Peruvian coast, was explored in the past by Uhle and by Willey and Corbett; however, these investigators did not recognize the presence of sizable artificial platform mounds or “corporate labor structures” at the site. In spite of its preceramic status, Aspero was a sedentary community, and the corporate labor structures suggest the beginnings of a complex, non-egalitarian society. The hypothesis is advanced that such a society was “pre-adapted” toward corporate labor activity and that this “pre-adaptation” expedited the rapid transference from a marine economy to an agricultural one at the close of the Cotton Preceramic period (about 2000-1800 B.C.).

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