外文翻譯--技術性貿易壁壘對中國蔬菜出口的影響的研究：一個基于引力模型的實證研究(編輯修改稿)

　

【文章內容簡介】 uit vegetables and tomatoes, broccoli and other single vegetables, the United States laid down 677 items in pesticide residue limits standards. In 2020 the vegetables pesticide residue standard reached 802 items. The standards of pesticide residues in EU vegetable were made on the classification of vegetables. The six great vegetables such as roots, fruits and vegetables, leafy vegetables were given 375 standards before 2020. Beginning in 2020, the number rose to 583 standards (REN, XU, amp。 ZHANG, 2020). Before 2020, integrating vegetable pesticide residue limits standards of the Ministry of agriculture, the Ministry of Health and the State Bureau of Technical Supervision and Inspection, China had 53 national standards. From 2020, China implemented pollutionfree agricultural products standards, among which pollutionfree vegetables contained 325 pesticide residue limits standards. In October, 2020, the new national standards in “Maximum Residue Limits for Pesticides in Food” began to implement, 478 criteria were formulated according to the 136 kinds of pesticides (ZHOU, amp。 ZHONG, 2020). Statistical descriptions of the key variables in the model are shown as in Table 2: Table 2 Statistical Descriptions of the Variables M exports amount GNPc China39。s per capita GNP GNPj the importing country39。s per capita GNP Di distance SC China’s standards Sj the importing country’s standards The average value The median 9386 The maximum value The minimum value The standard deviation Third, the empirical results and discussion (A)the empirical results The research data e from the crosssectional data and the panel data consisting of time series. The time span is 16 years, each year having 3 data of the amount of China’s vegetable export to Japan, America, EU, with a total of 48 data. According to the characteristics of the data, the model makes a quantitative analysis, using the panel’s generalized two multiplications and using the software Eviews . The regression results are shown as in Table 3: The Regression Results Analysis Variable Expected symbol Coefficient T value Coefficient T value Model 1 Model 2 Ln (GNPC) China + *** *** Ln (GNPi) importing country + *** *** Ln(D) *** *** ln(SC) Chin’s standards + *** *** Ln(Sj) importing country’s standards *** *** R F P R2 . N 48 48 Note: ***, **, * indicates respectively at the significant level of 1%, 5%, 10%. (B) the related discussion From the regression results, the symbol of each interpretation variable and the expected symbol is basically the same, and most of them reach a significantly higher level. The whole of the equation and every coefficient are tested by F. The determination coefficient of the equation R2 reaching , that is, the goodness of fit in the model is very good. The specific analysis of the regression results is shown as the following: (1) The importing country’s vegetable pesticide residue limits standards have obvious inhibitory effect on China’s vegetable export. In Model 1, at the significant level of 1%, the regression coefficient of the importing country’s standard is , meaning that the number of the importing country’s standards increases every 10%, China’s vegetable export will reduce by %。 and if you take into account the impact of affirmative list policy, the regression coefficient will be . Thus the increase of the importing country’s whole number of pesticide residue limits standard will have a greater inhibitory effect on China’s exporting vegetables, and this is consistent with the real situation. (2) China’s vegetable pesticide residue limits standards have a certain role in promoting its vegetable export. In Model 1 and Model 2, at the significant level of 1%, the regression coefficients of China’s vegetable pesticide residue limits standard are respectively and , both being positive, indicating that improving China’s vegetable pesticide residue limits standards and strengthening the measures to control the pesticide residues in vegetables can improve China’s vegetable quality, and that passing the secure and reliable information of China’s product quality to the importing countries’ consumers is beneficial to China’s vegetable products entering into Japan, US and Europe. (3) The per capita GNP of both importing and exporting countries has an obvious promoting effect on China’s vegetable export. In Model 1, at the significant level of 1%, the regression coefficient of importing country’s per capita GNP is , meaning that the importing country’s per capita GNP rise every 10%, that is, the importing country’s domestic demand increases every 10