แปลภาษาอังกฤษเป็นไทย ออนไลน์ แปลภาษา แปลข้อความ แปลบทความ แปลเอกสาร แปลประโยคอังกฤษเป็นไทยทั้งประโยค แปลเอกสารภาษาอังกฤษเป็นภาษาไทยทั้งประโยค แปลประโยคอังกฤษเป็นไทย แปลอังกฤษ แปลไทย ฟรี [Translate] English to Thai Translation Translate Translator , ภาษาอังกฤษ มีใช้ในประเทศออสเตรเลีย แคนาดา ไอร์แลนด์ นิวซีแลนด์ สหราชอาณาจักร สหรัฐอเมริกา ไลบีเรีย เบลีซ แอฟริกาใต้ อินเดียTables 3.1 and 4.1. Observing both tables, we see that GDP is a significant variable for both net importers and exporters. Turning to the tables with the marginals, though, we observe that the GDP variable is much higher for our net importer group, compared to that for net exporters of agricultural raw materials. Net importers would have to look towards other motivations to undertake biofuel policy adoption, if they do not have a comparative advantage in agricultural raw material production, which could explain the difference in the marginals. Land is statistically significant for net exporters in columns 1 and 4, but is never significant for the net importers. This agrees with our intuition; a net exporting country is likely to have an advantage in land, allowing them to undertake biofuel production.
Tariffs is negative and statistically significant in all columns of Table 3 except column 3, which agrees with our intuition. Looking at our OLS regressions, Tariffs proves to have greater statistical significance for our net exporter model. Tariff prices would effect a country’s decision about what, and how much to export, which could explain this outcome. Turning to the marginals, PopInAgric has a much higher value for the net importer model. Seeing as these countries import most of their agricultural raw materials, engaging in biofuel production may be seen as a way to decrease their reliance on these imports, and create new jobs in the agricultural sector, a common supportive argument for biofuel policy adoption in developing countries. R&D is only significant in column 4 of Table 3, and is negative, which goes against our intuition. In fact, after adding R&D and Oil in the probit regression in Table 4, the standard errors could not be predicted; therefore, this regression was not included, and it is thus difficult to make inference on this variable. Oil is positive and statistically significant in both tables,