Qualitative content analysis of factors affecting the relationship of science development, technology development and economic growth

Species conservation via the Endangered Species Act is highly politicized, yet few data have been gathered to illustrate the relationship of political party affiliation to species conservation perspectives. We conducted a nationwide public opinion survey and found that Democrats value species conservation more highly than do Republicans, and that Democrats are also more strongly supportive of the Endangered Species Act. Republicans place higher value on property rights than do Democrats, but members of both parties value economic growth as highly as wildlife conservation. The results imply that the Democratic propensity to value species conservation reflects a biocentric perspective that does not bode well for practical conservation efforts. Species conservation will depend upon the success of academicians and progressive political leaders in educating students and members of all parties about the fundamental conflict between economic growth and wildlife conservation.

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Study on the Relationship between Energy Consumption, Carbon Emission and Economic Growth in China

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.869-870.746 ◽

2013 ◽

Vol 869-870 ◽

pp. 746-749

Author(s):

Tian Tian Jin ◽

Jin Suo Zhang

Keyword(s):

Economic Growth ◽

Energy Consumption ◽

Carbon Emissions ◽

Carbon Emission ◽

Energy Structure ◽

Ardl Model ◽

Relationship Of ◽

The Relationship ◽

Reducing Energy

Abstract. Based on ARDL model, this paper discussed the relationship of energy consumption, carbon emission and economic growth.The results indicated that the key to reduce carbon emissions lies in reducing energy consumption, optimizing energy structure.

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86 Factors affecting beef calf vigor at birth: Dam peripartum body condition score, calving season, and calf size

Journal of Animal Science ◽

10.1093/jas/skaa054.003 ◽

2020 ◽

Vol 98 (Supplement_3) ◽

pp. 3-3

Author(s):

Lindsey G Wichman ◽

Colby A Redifer ◽

Natalie B Duncan ◽

Craig A Payne ◽

Allison M Meyer

Keyword(s):

Mixed Model ◽

Body Condition Score ◽

Negative Relationship ◽

Beef Cows ◽

Abdominal Girth ◽

Factors Affecting ◽

Condition Score ◽

Calving Season ◽

Relationship Of ◽

The Relationship

Abstract To determine effects of cow BCS and calving season on calf vigor and size and the relationship of calf size with vigor, 310 multiparous and primiparous beef cows (age: 4.6 ± 2.2 yr; BW: 663 ± 86 kg; BCS: 5.3 ± 0.6) from 3 spring (2015, 2016, 2017) and 4 fall (2015, 2017, 2018, 2019) calving seasons were observed during parturition. Time to stand (n = 191) was determined as minutes from birth to standing successfully for 5 sec. Within 24 h, calf BW (n = 187) and size [shoulder to tailhead length (STL), heart girth (HG), and abdominal girth (AG; n = 154)] were recorded. Data were analyzed using a mixed model containing effects of calving season (spring and fall), BCS category (< 5, =5, ≥6), and their interaction. Correlations were determined between time to stand and calf measurements separately for spring (n = 79) versus fall (n = 111). Cows with BCS < 5 gave birth to lighter (P = 0.02) calves that tended to have a faster (P ≤ 0.13) time to stand than =5 and ≥6. Calves from cows with BCS ≥6 tended to have greater (P ≤ 0.09) STL than =5 and < 5. Calves from cows with BCS < 5 had smaller (P = 0.13) HG than =5. Fall-born calves tended to have smaller (P ≤ 0.06) BW, HG, and AG than spring-born calves. Within fall calves, there tended to be a positive relationship (r = 0.16; P = 0.09) between time to stand and calf BW. Despite this, spring calves had a negative relationship (r = -0.26; P = 0.02) between time to stand and calf BW. In conclusion, cow BCS and calving season affect calf size and may affect calf vigor. These data suggest that calving season may dictate the relationship between calf vigor and size.

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Kohesi dan Koherensi dalam Koran Bisnis Indonesia dengan Judul Kemenperin Jamin Serap Garam Rakyat

Silampari Bisa Jurnal Penelitian Pendidikan Bahasa Indonesia Daerah dan Asing ◽

10.31540/silamparibisa.v1i1.21 ◽

2018 ◽

Vol 1 (1) ◽

pp. 138-153

Author(s):

Goziyah Goziyah ◽

Harninda Rizka Insani

Keyword(s):

Content Analysis ◽

Data Analysis ◽

Data Collection ◽

Data Reduction ◽

Research Method ◽

Data Interpretation ◽

Qualitative Approach ◽

Analysis Techniques ◽

Relationship Of ◽

The Relationship

The objective of this research was to provide an understanding of cohesion and coherence in the newspaper Bisnis Indonesia with title Kemenperin Jamin Serap Garam Rakyat. The research method used is the method of content analysis with a qualitative approach. Data collection techniques using documentation techniques. Data analysis techniques begin with data reduction, data tabulation, data classification, data interpretation, and conclusions. The results show that in the news text in the newspaper Bisnis Indonesia there is a more dominant cohesion found pronouns, ellipsis, and conjunctions or hyphens. Then, the coherence that is found is the relationship of contradictions, general specific relationships, comparison relationships, causal relationships, review relationships, and referral relationships. Keywords: cohesion, coherence, newspapers

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Analysis on the Threshold Effect of the Factors Affecting the Relationship between China's Economic Growth and Carbon Emission

Proceedings of the 2017 2nd International Conference on Politics, Economics and Law (ICPEL 2017) ◽

10.2991/icpel-17.2017.13 ◽

2017 ◽

Author(s):

Yi Wang ◽

Minghao Xu ◽

Jingjing Lu

Keyword(s):

Economic Growth ◽

Carbon Emission ◽

Threshold Effect ◽

Factors Affecting ◽

The Relationship

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A STUDY OF FACTORS AFFECTING THE FLUIDITY OF CEMENT

Bulletin of Belgorod State Technological University named after V G Shukhov ◽

10.34031/2071-7318-2019-4-11-8-16 ◽

2019 ◽

pp. 8-16

Author(s):

Л. Шахова ◽

L. Shakhova ◽

Е. Черноситова ◽

E. Chernositova ◽

Л. Щелокова ◽

...

Keyword(s):

Labor Costs ◽

Factors Affecting ◽

Correlation And Regression Analysis ◽

Cement Powder ◽

Production Factors ◽

Variable Factor ◽

Cement Binder ◽

Cement Grinding ◽

Relationship Of ◽

The Relationship

The fluidity of cement powder has a significant impact on the duration and labor costs in the process of transportation and shipment of cement. This determines the relevance of the task of finding mechanisms to control this parameter. During the production process, the fluidity of the cement powder is formed depending on the properties of the initial cement charge, the requirements for the thinness of the grinding to the finished product, the hardware design and the conditions of the process. In turn, the fluidity of cement affects the grinding process and the productivity of the mill. The rheological characteristics of the cement binder change over time depending on the physical properties of the material, environmental conditions and the equipment used for its storage. The reasons for the deterioration of the flow of cement powder is still not fully studied. The article is devoted to the study of the main factors affecting the fluidity of cement. The results of the statistical analysis of cement fluidity depending on the thinness of cement grinding (on the residue on the sieve №008 and the specific surface area by Blaine method) humidity, bulk weight and weight in the most compacted state. In addition, the relationship of production factors and cement fluidity is considered. Correlation and regression analysis shows that the fluidity is affected by a variable factor, which is not yet quantified.

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Empirical Study on the Relationship between Financial Development and Economic Growth in China Based on Maximum Flow Algorithm

Tobacco Regulatory Science ◽

10.18001/trs.7.5.2.12 ◽

2021 ◽

Vol 7 (5) ◽

pp. 4463-4473

Author(s):

Qiao Wang

Keyword(s):

Economic Growth ◽

Financial Development ◽

Influencing Factor ◽

Maximum Flow ◽

Theoretical Research ◽

Particle Swarm Algorithm ◽

Model Parameters ◽

Factors Affecting ◽

Flow Algorithm ◽

The Relationship

Objectives: The relationship between finance and economic growth has always been one of the hot issues in theoretical research and empirical analysis. As one of the important factors affecting economic growth, finance has long been recognized by the majority of scholars. Methods: In the context of the development of Internet e-commerce, empirical research on the relationship between China’s financial development and economic growth is conducted based on the maximum traffic algorithm. Results: Based on this, this paper constructs the Probit and Logistic binary discrete selection model for economic growth, and the discrete particle swarm algorithm is used to solve the sequence of influencing factors, estimating the model parameters, and the degree of influence of each influencing factor is calculated. Conclusion: The degree of concurrent employment is a decisive factor in economic growth.

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