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贸易开放和经济增长:一个跨国实证调查【外文翻译】

贸易开放和经济增长:一个跨国实证调查【外文翻译】
贸易开放和经济增长:一个跨国实证调查【外文翻译】

本科毕业论文外文翻译

外文题目:Trade openness and economic growth: a cross-country

empirical investigation

出处:Journal of Development Economics

作者:Halit Yanikkaya

原文:

Trade openness and economic growth:a cross-country

empirical investigation

Halit Yanikkaya

Abstract

This paper demonstrates that trade liberalization does not have a simple and straightforward relationship with growth using a large number of openness measures for a cross section of countries over the last three decades. We use two groups of trade openness measures. The regression results for numerous trade intensity ratios are mostly consistent with the existing literature. However, contrary to the conventional view on the growth effects of trade barriers, our estimation results show that trade barriers are positively and, in most specifications, significantly associated with growth, especially for developing countries and they are consistent with the findings of theoretical growth and development literature.

1. Introduction

Do open economies grow faster than closed economies? Almost all empirical growth studies have provided an affirmative answer to this question. The reason for this strong bias in favor of trade liberalization is partly based on the conclusions of a wide range of empirical studies, which claimed that outward-oriented economies consistently have higher growth rates than inward-oriented countries. It is also partly due to the tragic failures of import-substitution strategies, especially in the 1980s and overstated expect-ations from trade liberalization.

Accordingly, this study examines the growth effects of a large number of measures of trade openness. Using the same specification for various openness measures where each variable measures a different aspect of openness, we try to accomplish two things. First, we believe that our results provide a more complete picture of the relationship between openness and growth as compared to empirical studies that used a subset of openness measures. Second, it enables us to compare regression results across individual measures and across groups.

We divide our trade openness measures into two broad categories: measures of trade volumes and measures of trade restrictions. On the one hand, our estimation results for various measures of trade volumes indicate that there is a positive and significant association between trade openness and growth. They are also consistent with the conclusions of empirical and theoretical growth studies. On the other hand, our estimation results for trade barriers contradict the conventional view on the growth effects of trade restrictions, which suggests an adverse association between trade barriers and growth.

The outline of this paper is as follows. The next section reviews the theoretical and empirical literature on trade openness. Section 3 describes a standard growth equation and the data sources and definitions. Section 4 separately reports the estimation results for various measures of trade flows and restrictions on these flows. In this section, we further address the potential problems of the cross-country growth framework. Section 5 concludes the paper.

2.Literature review

The relationship between trade openness and growth is a highly debated topic in the growth and development literature. Yet, this issue is far from being resolved. Theoretical growth studies suggest at best a very complex and ambiguous relationship between trade restrictions and growth. The endogenous growth literature has been diverse enough to provide a different array of models in which trade restrictions can decrease or increase the worldwide rate of growth (see Romer, 1990; Grossman and Helpman, 1990; Rivera-Batiz and Romer, 1991a,b; Matsuyama, 1992). Note that if trading partners are asymmetric countries in the sense that they have considerably different technologies and endowments, even if economic integration raises the worldwide growth rate, it may adversely affect

individual countries (see Grossman and Helpman, 1991a,b; Lucas, 1988; Rivera-Batiz and Xie, 1993; Young 1991).

It is worthwhile to note that the theoretical growth literature has given more attention to the relationship between trade policies and growth rather than the relationship between trade volumes and growth. Therefore, the conclusion about the relationship between trade barriers and growth cannot be directly applied to the effects of changes in trade volumes on growth. Even though these two concepts, trade volumes and trade restrictions, are very closely related, their relationship with growth may differ considerably. This is because there are several other very important factors that affec t a country’s external sector, such as geographical factors, country size, and income. In other words, one should be as clear as possible about which openness measure he uses and what are the exact mechanisms through which it affects the growth. We shall discuss each openness measure used in this study later in the section.

In the theory of international trade, the static gains from trade and losses from trade restrictions have been examined thoroughly. Yet, trade theory provides little guideline as to the effects of international trade on growth and technical progress. On the contrary, the new trade theory makes it clear that the gains from trade can arise from several fundamental sources: differences in comparative advantage and economy-wide increasing returns.

3.Model and data

We use the following empirical framework to investigate long-run growth. In general form, this model can be characterized as

γyt=F(y t, k t,h t;Z(t)), (1)

where γyt is a country’s per capita growth rate in period t, y t is initial GDP per capita, k t is the physical capital stock per person, h t is initial human capital per person. We use telephone mainlines per worker and life expectancy rates as rough proxies for the stock of physical and human capital, respectively. Although the initial GDP per capita level is employed to assess the issue of conditional convergence, it is possible to interpret it as a proxy for the stock of capital for a country. The variable Z represents a vector of control and environmental variables that are primarily determined by decisions of governments or individuals. These variables include a large number of trade openness measures, war deaths and type of regime.

Note that we also use two geographical factors, a variable that measures whether a country is in a tropical climate and a variable that measures whether a country has access to international waterways.

4. Empirical results

4.1. Correlation across openness measures

The results show that there is generally a statistically significant correlation among the openness measures. More importantly, all of the correlation coefficients have the correct signs except for the correlation coefficients of TAXTRD with OPEN and USBTRD, which have incorrect signs but are insignificant. Although the relationships between openness measures within each group are generally statistically significant with the correct signs, the relationships between the indicators across the groups tend to be weak. Thus, it is probably safe to conclude that trade barriers may have negative repercussions on growth through reducing the size of the external sector of a country.

4.2. Trade volumes and growth

Consistent with a number of empirical studies, as reviewed in Harrison (1996), our results support the hypothesis that countries with higher trade shares are likely to grow faster than other countries. One of the important criticisms of the significant coefficient is that it does not necessarily mean the direction of causation goes from higher trade shares to higher growth rates. Many studies have emphasized the likelihood of reverse causation between growth and OPEN because it is easy to think of a case in which fast growth may cause higher trade shares. To test whether the simultaneity is strong enough to drive this relationship, we use the averages of five previous years instead of contemporaneous values.

4.3. Trade restrictions and growth

It is clear from the preceding section and also from existing empirical studies that trade volumes are positively and significantly correlated with growth. Consequently, one would expect that anything that poses a barrier to international trade is likely to be harmful to long run growth. In other words, barriers to trade in the forms of tariffs, export duties and taxes on international trade are expected to be correlated with growth negatively due to their potential

trade-reducing effects. Moreover, a large number of studies reported a negative relationship between growth and average tariffs and also a number other forms of trade restrictions.

4.4. Trade volumes and trade barriers

Our estimation results for trade intensity ratios and trade barriers may seem inconsistent with one another because they seem to provide completely different and contradictory answers to the question concerning the growth effects of trade openness. To shed some lights on these seemingly contradictory results, we proceed in two ways. First, we reestimate the regressions for trade barriers in Table 3 using trade shares (OPEN) instead of population densities (DENSITY) and report the results in the first column of Table 4. Second, we regress trade shares (OPEN) on the measures of trade barriers used throughout the study and on other variables (see Table 4 for the control variables). Thus, these results suggest that while trade barriers have adverse effects on growth through reducing trade, they positively affect growth through superior resource allocation and/or positive externalities. Our results imply that the latter dominates the former.

4.5. Sensitivity analysis

In this section, we carry out several robustness tests. First, the regressions results presented here may be subject to simultaneity problems. Thus, we test the sensitivity of our results for openness measures by taking into account endogeneity. Next, we also replicate our results in Table 5 using 5-year averages instead of decadal averages and report them in Appendix B. Finally, we employ econometric methods that control for fixed factors; first differences and fixed effects.

5.Conclusion

This paper investigates the relationship between a wide variety of trade openness measures and growth. We basically use two types of openness measures. The first group is various measures of trade volumes (except population densities). Trade shares, export shares, and import shares in GDP are widely used in the literature and are found to be significantly and positively correlated with growth. However, much less attention has been given to disaggregated measures of trade intensity in the empirical literature. Thus, this study employs several new measures of trade intensity, which are trade with OECD countries,

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出口货物报关单英文翻译

JG02 Unified Serial No. from Data Centre: Customs Export Declaration Form of the People’s Republic of China

Customs Declaration Form 报关单 An exporter has to apply to the customs for declaration of the commodity before the shipment. The customs officer will sign on the customs declaration form and release the goods if the goods are up to the requirement. 出口方必须在装运前对出口货物进行报关,如果货物符合要求,海关官员就签署报关单对货物进行放行。 The person who asks for declaration is required to be qualified, that is to say, he/she should have the certificate of customs declaration. The examination is held by the General Administration of Customs of 申请报关的人要求具备资质,就是说他或她应有报关证。考试由中华人民共和国海关部署举行。 The customs declaration form is in different colors, for example: the white one is made out for general trade and the pink one is used for processing trade. The contents of these documents are similar. We take the specification of an export customs declaration form for general trade as an example to show the method of making out the document. 报关单有不同颜色,如白色报关单按一般贸易缮制,粉红色报关单用于加工贸易。这些单据的内容相似。我们以一般贸易的出口货物报关单的内容为例介绍该单据的缮制方法。 The Main Contents and Notes of Customs Declaration Form: 报关单的主要内容及注释: 1. 预录入编号:No. of Pre-record It is given by the customs while the exporter is applying to customs. It is given by computers automatically. 出口方申请报关时由海关给的编号,是由计算机自动编制的。 2. 海关编号:No. of Customs It is given by the computer system automatically or given by the custom officer. 由计算机系统自动编制或由海关人员给出。 3. 出口口岸:Port of Export It refers to the name and code of the customs at final port of export. 指最后口岸的海关名称及代码。 说明:若出口货物在设有海关的发运地办理报关手续,出口口岸仍应填写出境口岸的名称。如在深圳办理报关手续,陆路运输至上海出境的货物,其出口口岸为上海。同时加注关区代码。 4. 备案号:record number for checking It refers the number of “Register Manual” or the number of “Certificate of Paid or Free Tax” 指《登记手册》编号或《征免税证明》编号。 5. 出口日期:Date of Export It refers to the date of shipment. It is the applied date of departure of the vessel. 指发运日期,也就是船申报出境的日期。 6. 申报日期:Date of Application It is the date that the exporter applies for declaration. 指出口方向海关申报出境的日期。 7. 经营单位:Executive company Fill in the company’s name who signs and executes the S/C in Chinese, (generally refers to the exporter), and the customs code of the company. 用中文填写签订和执行合同的公司(一般指出口人)名称及经营单位代码。 说明:如果总公司签订合同,由分公司执行,则填分公司名称。出口企业间相互代理,以代理方为经营单位。注意填写全称,注明经营单位代号,该代号是出口企业办理海关注册登记时,海关设置的编码,共10位数字。 8. 运输方式:Mode of Transportation It refers to the final departure mode of transportation , such as sea, road, railway and air, etc. 指货物出境的最后运输方式,如江海、公路、铁路及航空等。 9. 运输工具名称Name of Transportation Tool It refers to the name of departure tool of transportation (for example, sea for vessel and number of voyage, railway for the number of train and air for the number of flight). 指货物出境的运输工具名称(如江海填船名及航次,铁路填车次,航空填航班号)。

经济与管理专业外文翻译--运用作业成本法和经济增加值的具体应用

A FIELD STUDY:SMALL MANUFACTURING COMPANIES In this section, the implementation of the proposed Integrated ABC-EVA System at two small manufacturing companies is presented. The managers of the companies wished for their company names to remain anonymous. T herefore, they will be referred to as “Company X” and “Company Y” from here on. Prior to the field study, both companies were using traditional costing systems. The overhead was allocated to product lines based on direct labor hours. In both companies, managers felt that their traditional costing systems were not able to provide reliable cost information. 1 Company X Company X, located in Pittsburgh, Pennsylvania, was a small manufacturing company with approximately 30 employees. Company X’s main products l ines were Overlays、Membranes、Laser、Roll Labels and N’Caps. In the mid 1990’s, a group of investors purchased the company from the previous owner-manager who had retired. At the time of the study, the company was managed by its former vice-president, who was supported by a three-person management group. Investors were primarily concerned with financial performance rather than daily decision-making. The management group was very eager to participate in the field study for two reasons. First, the management was under pressure from their new investors who were not satisfied with the current return from existing product lines; Second, management was trying to identify the most lucrative product line in order to initiate a marketing campaign with the biggest impact on overall profits. 2 Company Y Company Y, also located in Pittsburgh, Pennsylvania, was owned and managed by three owner-managers who bought the company from a large corporation in the mid 1990’s, Company Y employed approximately 40 people. The majority of this compa ny’s business was in the area of manufacturing electrical devices and their main product lines were Motors and Motor Parts、Breakers、and Control Parts. Company Y sold its products in the domestic market as well as abroad. A portion of the company’s output was sold directly to end-users, while the remainder was sold with the help of independent distributors. The management of Company Y was

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