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外商直接投资FDI外文文献翻译2014年译文3013字

外商直接投资FDI外文文献翻译2014年译文3013字
外商直接投资FDI外文文献翻译2014年译文3013字

文献出处:De Maeseneire W, Claeys T. Foreign direct investment in Hungary [J]. International Business Review, 2014, 21(3): 408-424.

原文

Foreign direct investment in Hungary

De Maeseneire W, Claeys T

Due to factors such as geographic location and traditional relationship, like other central and eastern Europe, Hungary FDI79 % from the eu 15 countries, including Germany, accounting for 25% of the Hungarian FDI, followed by the Netherlands, Austria, 14% and 13%, respectively. The United States is outside the European Union in Hungary's largest investor, accounted for 5% of the total amount of Hungarian FDI, actually some FDI from the Netherlands and other European countries is also by the American companies to invest in these countries. In recent years, the Asian countries such as Japan and South Korea in the austro-hungarian FDI growth step by step. In 2009, the Hungarian FDI is still mainly comes from the European Union, but the German investment has fallen sharply, relegated to the second from bottom, the fewest since 2001 to invest in Hungary.

As the decision depends on interregional differences in factor and resource endowments. Because countries cannot be considered as homogeneous spaces, individual firms have to choose between a variety of locations and tend to concentrate in favorably endowed regions. Such clustering of firms, by leading to agglomeration externalities, adds further to the attractiveness of the location (Head et al. , 1995). Thus, firms tend also to cluster because of the positive externalities generated by proximity. Hence in addition to the endowment-driven localization theory, explanations of the location choice of MNEs can also be drawn from economic geography. In this respect, externalities related to proximity become a major explanation for the location choice of MNEs.

According to Marshall (1920), three sources of positive externalities can be identified. Locating near to each other provides firms variously with access to

specialized input suppliers and customers, a shared pooled market for skilled labour, and technological spillovers through facilitating information exchange. To these three traditional sources of positive externalities should be added the many different forms of localized externalities, namely backward and inward linkages issuing from the dynamics of the interaction of firms with other firms, institutions and infrastructures (Nachum, 2000). This line of reasoning is all the more relevant since the organizational structure of MNEs has changed since the end of the ‘golden age’of Western economic growth. The greater volatility of the international business environment has led to a search for more flexible forms of organization (Buckley and Casson, 2000), and therefore to the end of hierarchical capitalism (Dunning, 1995). This in turn has changed the nature of the external linkages of the firms (Nachum, 2000), both in terms of design and location. Firms focus on their core competence while increasing outsourcing. In other words, vertical integration has been discouraged and networks of independent firms have emerged (Harrison,1994, Part III). These firms are often neighbors.

In the light of these theoretical issues and, as raised by Head et al. (1995, p. 224),the question is a matter of deciding to what extent the pattern of FDI location within a country ‘ support[s] an agglomeration–externalities theory of industry localization rather than a theory based on inter-state differences in endowments of natural resources, labor and infrastructures ’. In this respect, the aim of this paper is to assess the determinants of location choice by foreign investors in Hungary, with particular emphasis on the existence and magnitude of agglomeration economies. Both theoretical and empirical work has addressed the process of location choice at the international level, but has rarely analyzed the sub-national (i.e., regional) distribution of FDI with a focus on agglomeration effects; even less has this been done in relation to Central and Eastern European Countries (CEECs) (see Table 1 below). Many academic papers have explored the determinants of location choice by foreign investors within the USA (Bartik, 1985; Carlton, 1983; Coughlin et al. , 1991; Friedman et al. , 1992; Head et al. , 1998; Head et al. , 1994, 1995, 1999; Luger and Shetty, 1985; Nachum, 2000; Woodward, 1992). Other papers have done the same for

large countries other than the USA or unions of countries in relation to foreign investors as a whole or investors originating from a particular country.Among recent studies, some have focused on the regional choices of foreign investors in China (Head and Ries, 1996; Cheng and Kwan, 1999, 2000; He, 2002), while others have been concerned with the choices of foreign investors in Europe (Barrell and Pain, 1999; Clegg and Scott-Green, 1998; Devereux and Griffith, 1998; Ferrer, 1998; Mayer and Mucchielli, 1998, 1999; Mucchielli and Puech, 2003; Scaperlanda and Balough, 1983). Only a few empirical studies have assessed the location motivations of FDI at a more local level. For example, Guimar?es et al. (2000) have examined such motivations for Portugal, and Cantwell and Iammarino (2000) for the United Kingdom. But among recent studies, by far and away the most comprehensive at a local level is that by Crozet et al. (2003) for France.

As far as the CEECs are concerned, there have been few empirical studies of the location determinants of FDI and of the agglomeration effects among determinants (Kinoshita and Campos, 2003; Lankes and Venables, 1996). To my knowledge, there is no existing study of this pattern for one particular transition country. Indeed, this type of research faces difficulties at an empirical level. Due to data collection problems (data for state, regional and county levels is scarce and not always mutually consistent), the measurement of agglomeration effects in transition economies may be particularly problematic. In addition, the period of time over which transition has been underway in CEECs is relatively short. Both these reasons can make any econometric test problematic.

Spatial patterns of FDI in Hungary

Since the beginning of the transition process, Hungary has attracted a noteworthy amount of FDI, mainly targeting the tertiary sector and originating mostly in the EU. But FDI is unevenly distributed among the Hungarian regions.

A major capital city effect

Table 2 shows the distribution of inward FDI across Hungarian counties over the period 1990 – 2000. Foreign-owned branch plants are concentrated in Budapest and therefore in the region of Central Hungary, which accounted for 69 percent of inward

FDI stock attracted by Hungary in 2000. Of the other regions, Western Transdanubia and Central Transdanubia are the most attractive to FDI. The proximity effect plays an important role, particularly in the case of Western Transdanubia, which is the only Hungarian region having a common border with the EU (Austria). Conversely, the least attractive Hungarian region is Southern Transdanubia, a predominantly agricultural region that has been completely marginalised since 1995.

Over the ten-year period, Central Hungary has accounted for approximately two-thirds of FDI, a polarization on the Hungarian capital which became more pronounced in 2000. It is possible that data may be skewed towards FDI in Budapest because MNEs declare their investments at the headquarters, which are often located in the capital, in contrast to their production units which may be elsewhere; nonetheless, the data suggest that there is a strong capital effect, in that firms tend to agglomerate in or around the capital city.

Relative regional attractiveness

In order to take account of the varying size of the regions, the above table on regional distribution of FDI in Hungary was completed using a relative regional attractiveness index. This was calculated by dividing the regional share of total FDI by the regional share of gross fixed capital formation.

Because of the disproportionate weight of Budapest, the index was calculated without taking into account Central Hungary. In Table 3, which displays this index, only two regions are less attractive for FDI than for investment in general: Northern Great Plain and Southern Transdanubia, both of whose indexes are less than 1. This confirms the earlier observation that Southern Transdanubia was the least attractive region for FDI (see Section 2.1 above). Central Transdanubia experienced a relative downturn in attracting inward FDI between 1995 and 1998, but then recovered in 1999.

In relation to the size of the regions, there is no great variation in regional attractiveness for FDI. In fact, Hungary is very clearly split in two along a northwest/ southeast axis (see map above). In relative terms, the western and northern Hungarian regions (Central Hungary, Central Transdanubia, Western Transdanubia and Northern

Hungary) have clearly fared better than those of the south and east (Southern Transdanubia, Northern Great Plain and Southern Great Plain). These marked patterns of geographic concentration suggest the need to go further in assessing the location determinants of FDI in Hungary and the agglomeration effects among them. Concluding remarks and prospects

This research provides an empirical approach to the regional determinants of FDI in CEECs. It may be considered as innovative in as much as this kind of study has never, to my knowledge, been carried out for these countries due to the lack of firm-based data and the consequent difficulty of measuring and assessing the determinants of FDI.

The results indicate that labor availability, demand conditions and agglomeration economies all have a significant and positive influence on the inward FDI attracted by Hungarian counties. Surprisingly, unit labor costs are positively associated with FDI. However, when the geographical division of Hungary is taken into account, the coefficient of the labor cost variable becomes negative for the more labor-intensive southern and eastern counties. The biggest problem faced in defining the location determinants is how to define a demand variable. First, it is difficult to define the geographical extent of demand. Hungarian demand does not end at Hungary’s borders but, especially since its integration into the EU, extends to neighboring countries. Second, traditional location determinants, among them demand, overlap with agglomeration economies, thereby making it more difficult to interpret the findings.

Finally, the scope of the current research suffers from a lack of sect oral study of localization factors, which take into account the differing conditions of competition across sectors. Ideally such research would aim to analyze the localization factors of FDI across home countries and sectors. But the lack of available data forced this study to refer to the aggregated figures for all industries within the counties. This limitation prevented us from testing the extent to which the location choice of MNEs in Hungary is motivated by a strategy of low cost production with access to adjacent EU markets or to CEEC markets, and from establishing whether firms tend to make location choices on a specific national basis.

Nevertheless, this research is an initial exploration of a topic that is of increasing importance given that eight of the Central and Eastern European countries have recently become members of the EU and hence of a single market in which national boundaries matter less and less while the importance of regional factors is on the increase.

译文

外商直接投资:匈牙利的案例

De Maeseneire W, Claeys T

由于地理位置和传统关系等因素,如其他中东欧国家一样,匈牙利FDI79%来自欧盟15国,其中德国最多,占匈FDI的25%,其次为荷兰、奥地利,分别为14%和13%。美国是欧盟以外在匈最大投资国,占匈FDI总额的5%,实际上一些来自荷兰和其他欧洲国家的FDI也是由设在这些国家的美资企业投资的。近年来,日本和韩国等亚洲国家在匈FDI逐步增长。2009年,匈牙利FDI仍主要来自欧盟,但其中德国投资大幅下降,退居倒数第二位,创2001年以来对匈投资最少的纪录。

导致这种情况,不禁要问这样一个问题:是什么因素决定了跨国公司的区位选择问题,以匈牙利作为案例。一旦一个跨国企业已经决定在匈牙利开设工厂,为什么决定在一个特定别的县而不是另一个县成立?

按照传统的贸易理论,这一决定依赖于要素资源禀赋和区域间的差异。由于国家不能被认为是齐性空间,个别企业在不同的地点之间进行选择,往往倾向在区位有利地区进行投资。

这些由外部因素导致结块的产业群企业,进一步增加了吸引力的位置(黑德et al,1995)。因此,企业往往也由于正外部效应就近集聚。因此,除了向要素禀赋驱动的定位理论,对跨国公司区位选择的解释,也可以来自经济地理。在这方面,外部相关的地缘关系成为跨国公司区位选择的主要解释。

马歇尔(1920),积极的外部经济效应是可识别的。接近彼此定位可以为企业带来特定的供应商和客户,共同的熟练劳动力市场,并促进信息交流技术外溢。这三个传统的积极的外部经济效应,带来许多不同的本地化的外部形式,即向后

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对于东欧国家而言,也出现了外国直接投资区位选择决定因素以及把集聚效应作为影响因素研究(木下和坎波斯, 2003;兰克斯和维纳布斯, 1996)。据我所知,还没有关于特定的模式转型国家现有研究。事实上,这类研究面临着一个经验层面的困难。由于数据收集问题(州,地区和县三级数据很稀少,而且并不总是一致),在过渡时期的国家集聚效应测量尤其成为一个主要问题。此外,过

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