Analytical Study of Natural and Agricultural Resources Affecting Educational Spending in Japan | ||
| Sinai Journal of Applied Sciences | ||
| Article 2, Volume 9, Issue 3, December 2020, Pages 285-292 PDF (642.96 K) | ||
| DOI: 10.21608/sinjas.2020.43884.1004 | ||
| Authors | ||
| Ehab G. Attia* 1; Ali Ahmed Ibrahim2 | ||
| 1Secondary School, Bir ElAbd, North Sinai, Egypt. | ||
| 2Dept.of Agricultural Economics., Faculty of Agriculture., Zagazig University., Egypt | ||
| Abstract | ||
| Japan's natural resources are insufficient, especially agricultural lands whose area is not sufficient for the population's need for food, in addition to being a country suffering from natural disasters, and despite this, Japan's economy has reached a global position. Using the estimate of the gradual linear regression equation, it is clear that an increase in mineral resources revenues by one billion dollars leads to an increase in education spending by 1007 million dollars, and it is evident from the increase in the added value of agriculture in Japan by one billion dollars, which leads to an increase in education spending by 1.89 billion dollars. An increase in the total value of agricultural output by one billion dollars leads to a decrease in spending on education by 13 million dollars, while it was found that increasing the agricultural land’s contribution from the land area by 1% leads to a decrease in the agreement on education by 65.4 billion dollars, as it turns out The increase in the number of students in elementary school in Japan by one million pupils leads to an increase in the agreement on education by 400 thousand dollars. It is also clear from the equation that increasing the number of students in technical education in Japan by one million pupils leads to an increase in education spending by 100 thousand dollars, while increasing the number of teachers in secondary education by one million teachers leads to an increase in education spending by one million dollars. | ||
| Keywords | ||
| Natural and agricultural resources; spending on education; revenues; optimization; value added | ||
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