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Sustainable Development Building With The Analytical Approach of Blue Economic And Food Security Wenny Desty Febrian; Indra Sani; Siti Annisa Wahdiniawat; Ari Apriani; Evaf Maulina
Journal of Economics, Management, Entrepreneurship, and Business (JEMEB) Vol. 3 No. 1 (2023): Volume 3, Issue 1, May 2023. Journal of Economics, Management, Entrepreneur, an
Publisher : ABNUS Publisher

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Abstract

The blue economy refers to economic activities focused on advanced sustainable management and conservation of marine and coastal resources and sustainable development to promote economic growth. The challenge of meeting the food needs of a growing global population requires sustainable food supply chains anchored in coastal communities and sustainable food production. In addition, marine resources are critical to ensuring food security, accounting for two-thirds of total global fish production, 80% of global aquaculture production, and the per capita supply of fish is 65% higher than the world average. As the world's population grows, the amount of food needed in the future will depend on intrinsic factors and human choices. This chapter examines the current state of marine resources and proposes several steps forward based on the opportunities and challenges that exist through the use of secondary data to accelerate the sustainable use of marine resources and a partial analysis of the human actions that shape to the sustainable future, simulate, supply chain, and food waste
THE INFLUENCE OF INVESTOR BEHAVIOR ON INVESTMENT DECISIONS WITH PROFIT INFORMATION AS A MODERATING VARIABLE Rizal R. Manullang; Suprianus Pian TA; Evaf Maulina; Abdillah Arif Nasution; Aulia Arif Nasution
JURNAL ILMIAH EDUNOMIKA Vol 8, No 2 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i2.13146

Abstract

Abstract This research is quantitative research with an exploratory approach related to Investor Behavior, Investment Decisions, and Information Benefits. The data used in this research is of course primary data which is distributed online through a questionnaire containing 5 statement items for 14 questions covering 6 question items for the Investor Behavior variable, 4 question items for the Decision Variable variable, and 4 question items for the Information Profit variable. Researchers analyzed these data using the smart PLS 4.0 analysis tool with the hypothesis below. The result int this research show the Investor Behavior variable have a positive relationship and a significant influence on the Investment Decision variable can be accepted and even justified. This is because the P-Values results are positive and are below the significance level of 0.05, namely 0.002. These results are in line with research . The reason for creating these results, namely Investor Behavior, one of the characteristics is someone, in this case a student who is good at saving, is interested in investment, and has the desire to increase his finances many times over. Apart from this, the second hypothesis in this research can also be proven for the same reason, namely the P-Vlues value which has a positive relationship direction and is below the 0.05 significance level, namely 0.000. Thus the first and second hypotheses in this research can be proven and accepted. Keywords: Investor Behavior, Investor Decision, Profit Information