31 resultados para Corruption


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Chinese firms undertake large scale contracted projects in a number of countries under the auspices of economic cooperation. While there are suggestions that these activities are an extension of China's soft power aimed at facilitating Chinese foreign direct investment (FDI) in those countries, often for access to natural resources, there is no systematic analysis of this in the literature. In this paper, we examine China's economic cooperation related investment (ECI) over time. Our results suggest that the pattern of investment is indeed explained well by factors that are used in the stylised literature to explain directional patterns of outward FDI. They also demonstrate that the (positive) relationship between Chinese ECI and the recipient countries' natural resource richness is not economically meaningful. Finally, while there is some support for the popular wisdom that China is willing to do business with countries with weak political rights, the evidence suggests that, ceteris paribus, its ECI is more likely to flow to countries with low corruption levels and, by extension, better institutions.

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We develop entrepreneurship and institutional theory to explain variation in different types of entrepreneurship across individuals and institutional contexts. Our framework generates hypotheses about the negative impact of higher levels of corruption, weaker property rights and especially intellectual property rights, and a larger state on entrepreneurs who plan to grow faster. We test these hypotheses using the Global Entrepreneurship Monitor surveys in 55 countries for 2001-2006, applying a multilevel estimation framework. We confirm our main hypotheses but we find no significant impact from intellectual property rights.

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Ruta Aidis, Julia Korosteleva and Tomasz Mickiewicz 1. Introduction to Russia Russia is the worldâs largest country, a nuclear superpower with unsurpassed energy resources. It is also a country which finds itself at the crossroads of possible development paths. Market-oriented mechanisms have been introduced but Soviet era laws remain on the books. Corruption has become a way of life and freedom of the press has been gradually eliminated in the early 2000s. Within this backdrop, private entrepreneurship has emerged, albeit in a distorted way. As the heart of the Soviet empire, Russia had tremendous control of enormous amounts of natural resources and human capital. Yet, 20 years ago, in the late 1980s, it was a country where entrepreneurship was marginal, the economy was stagnant and the ruling communist hierarchy had no clear formula for solving the deepening crisis. Unfortunately the reforms characterizing Russiaâs attempts at rebuilding statehood after the collapse of the Soviet Union in the 1990s, first under Mikhail Gorbachev and then Boris Yâeltsin, were inconsistent and did not foster macroeconomic stabilization. However, since 2000, under Vladimir Putinâs leadership, macroeconomic stabilization as well as institutional stability has been achieved. In addition, an unprecedented increase in the price and demand for oil and gas resources has resulted in a rapid growth of Russiaâs gross domestic product (GDP). Russia now has a large private sector, though not without its limitations. At first glance, â˜de jureâ regulations often seem reasonable, yet it is the selective and arbitrary manner by which they are...

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This article applies a multinomial logit estimator to investigate which factors affect SME owners' expectations to grow their businesses in Lithuania. Our findings provide evidence that SME owners' human capital (education) matters and that growth expectations are positively related to exporting. In addition, we analyse the link between the perceptions of business constraints and growth expectations and find that the factors, which are perceived as main business barriers, are not necessarily those which are associated with reduced growth expectations. However, perceptions of corruption seem to affect growth expectations the most.

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This paper presents an empirical study based on a survey of 399 owners of small and medium size companies in Lithuania. Applying bivariate and ordered probit estimators, we investigate why some business owners expect their firms to expand, while others do not. Our main findings provide evidence that SME owner's generic and specific human capital matter. Those with higher education and 'learning by doing' attributes, either through previous job experience or additional entrepreneurial experience, expect their businesses to expand. The expectations of growth are positively related to exporting and non-monotonically to enterprise size. In addition, we analyse the link between the perceptions of constraints to business activities and growth expectations and find that the factors, which are perceived as main business barriers, are not necessary those which are associated with reduced growth expectations. In particular, perceptions of both corruption and of inadequate tax systems seem to affect growth expectations the most.

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We develop entrepreneurship and institutional theory to explain entrepreneurial growth aspirations across individuals and institutional contexts. Our framework generates hypotheses at the national level about the negative impact of higher levels of corruption, weaker property rights and greater government activity on entrepreneurs' aspirations to increase employment. We further explore whether individual's social networks compensate for weaknesses in national institutions. We use the Global Entrepreneurship Monitor surveys in 42 countries for 2001-2006, applying a multilevel estimation framework to test our ideas. We find that the relationship between growth aspiring entrepreneurs and institutions is complex; they benefit simultaneously from strong government (in the sense of property rights enforcement), and smaller government, but are constrained by corruption. Social networks mediate some but not all institutional deficiencies. © 2012 Elsevier Inc.

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Link adaptation (LA) plays an important role in adapting an IEEE 802.11 network to wireless link conditions and maximizing its capacity. However, there is a lack of theoretic analysis of IEEE 802.11 LA algorithms. In this article, we propose a Markov chain model for an 802.11 LA algorithm (ONOE algorithm), aiming to identify the problems and finding the space of improvement for LA algorithms. We systematically model the impacts of frame corruption and collision on IEEE 802.11 network performance. The proposed analytic model was verified by computer simulations. With the analytic model, it can be observed that ONOE algorithm performance is highly dependent on the initial bit rate and parameter configurations. The algorithm may perform badly even under light channel congestion, and thus, ONOE algorithm parameters should be configured carefully to ensure a satisfactory system performance. Copyright © 2011 John Wiley & Sons, Ltd.

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Recent calls in the corporate social reporting (CSRep) literature have emphasized the importance of giving voice to non-managerial stakeholder groups in the social reporting process. The research, presented in this paper, employs recent work in stakeholder theory and CSRep to examine the perceptions of a diverse set of non-managerial stakeholders in the context of a developing country, Bangladesh. A series of semi-structured interviews were conducted with individuals who identify with various non-managerial stakeholder groups. Interviewees generally believed that the motivation and practice of CSRep in Bangladesh is developing in response to pressures from international markets and is producing largely cosmetic responses. Also, they expressed concerns that, given the economic, political, and social conditions in Bangladesh, premature adoption of strict CSRep standards may lead to increased corruption and other unintended consequences. Whilst some of the interviewees sharply criticized the current process of imposing social accounting codes/standards on developing countries which fail to consider the important local socio-economic context, the findings suggest that there is overwhelming support for mandatory externally verified CSRep based on the principles of peoples' right to know, full disclosure/completeness, and relevance, which are anchored in the broader principles of transparency and stakeholder accountability. © 2010 Springer Science+Business Media B.V.

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The rapid rise in schooling in developing countries in recent decades has been dramatic. However, many cross-country regression analyses of the impact of schooling on economic growth find low and insignificant coefficients. This empirical 'puzzle' contrasts with theoretical arguments that schooling, through raising human capital, should raise income levels. This paper argues that poor results are to be expected when regression samples include countries that vary greatly in their ability to use schooling productively. Data on corruption, the black market premium on foreign exchange and the extent of the brain drain for developing countries are used as indicators of an economy's productive use of schooling. Regression analysis shows that the impact of secondary schooling on economic growth is substantially higher in countries that are adjudged to use schooling productivity.

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Link adaptation is a critical component of IEEE 802.11 systems. In this paper, we analytically model a retransmission based Auto Rate Fallback (ARF) link adaptation algorithm. Both packet collisions and packet corruptions are modeled with the algorithm. The models can provide insights into the dynamics of the link adaptation algorithms and configuration of algorithms parameters. It is also observed that when the competing number of stations is high, packet collisions can largely affected the performance of ARF and make ARF operate with the lowest date rate, even when no packet corruption occur. This is in contrast to the existing assumption that packet collision will not affect the correct operation of ARF and can be ignored in the evaluation of ARF. The work presented in this paper can provide guidelines on configuring the link adaptation algorithms and designing new link adaptation algorithms for future high speed 802.11 systems. © 2006 IEEE.

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This thesis examines the ways Indonesian politicians exploit the rhetorical power of metaphors in the Indonesian political discourse. The research applies the Conceptual Metaphor Theory, Metaphorical Frame Analysis and Critical Discourse Analysis to textual and oral data. The corpus comprises: 150 political news articles from two newspapers (Harian Kompas and Harian Waspada, 2010-2011 edition), 30 recordings of two television news and talk-show programmes (TV-One and Metro-TV), and 20 interviews with four legislators, two educated persons and two laymen. For this study, a corpus of written bahasa Indonesia was also compiled, which comprises 150 texts of approximately 439,472 tokens. The data analysis shows the potential power of metaphors in relation to how politicians communicate the results of their thinking, reasoning and meaning-making through language and discourse and its social consequences. The data analysis firstly revealed 1155 metaphors. These metaphors were then classified into the categories of conventional metaphor, cognitive function of metaphor, metaphorical mapping and metaphor variation. The degree of conventionality of metaphors is established based on the sum of expressions in each group of metaphors. Secondly, the analysis revealed that metaphor variation is influenced by the broader Indonesian cultural context and the natural and physical environment, such as the social dimension, the regional, style and the individual. The mapping system of metaphor is unidirectionality. Thirdly, the data show that metaphoric thought pervades political discourse in relation to its uses as: (1) a felicitous tool for the rhetoric of political leaders, (2) part of meaning-making that keeps the discourse contexts alive and active, and (3) the degree to which metaphor and discourse shape the conceptual structures of politicians⟠rhetoric. Fourthly, the analysis of data revealed that the Indonesian political discourse attempts to create both distance and solidarity towards general and specific social categories accomplished via metaphorical and frame references to the conceptualisations of us/them. The result of the analysis shows that metaphor and frame are excellent indicators of the us/them categories which work dialectically in the discourse. The acts of categorisation via metaphors and frames at both textual and conceptual level activate asymmetrical concepts and contribute to social and political hierarchical constructs, i.e. WEAKNESS vs.POWER, STUDENT vs. TEACHER, GHOST vs. CHOSEN WARRIOR, and so on. This analysis underscores the dynamic nature of categories by documenting metaphorical transfers between, i.e. ENEMY, DISEASE, BUSINESS, MYSTERIOUS OBJECT and CORRUPTION, LAW, POLITICS and CASE. The metaphorical transfers showed that politicians try to dictate how they categorise each other in order to mobilise audiences to act on behalf of their ideologies and to create distance and solidarity.

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The initial aim of this project was to develop a non-contact fibre optic based displacement sensor to operate in the harsh environment of a 'Light Gas Gun' (LGG), which can 'fire' small particles at velocities ranging from 1-8.4 km/s. The LGG is used extensively for research in aerospace to analyze the effects of high speed impacts on materials. Ideally the measurement should be made close to the centre of the impact to minimise corruption of the data from edge effects and survive the impact. A further requirement is that it should operate at a stand-off distance of ~ 8cm. For these reasons we chose to develop a pseudo con-focal intensity sensor, which demonstrated resolution comparable with conventional PVDF sensors combined with high survivability and low cost. A second sensor was developed based on 'Fibre Bragg Gratings' (FBG) which although requiring contact with the target the low weight and very small contact area had minimal effect on the dynamics of the target. The FBG was mounted either on the surface of the target or tangentially between a fixed location. The output signals from the FBG were interrogated in time by a new method. Measurements were made on composite and aluminium plates in the LGG and on low speed drop tests. The particle momentum for the drop tests was chosen to be similar to that of the particles used in the LGG.

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ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY WITH PRIOR ARRANGEMENT This thesis seeks to contribute to the socio-political literature. It comprises of three individual chapters examining the determinants and consequences of different social-political institutional factors. Specifically, the first study combines game theoretical and empirical techniques to examine how bureaucrats favour other agents within their social group and the effects this will have on the level of corruption in the economy. To this end, I develop a simple model of allocation of time between economic activities and leisure (time spent building social network ties), to illustrate the underlying causal mechanism between social network and corruption. It shows that large social networks and low levels of economic activities provides the condition for high levels of corruption. However, the ability of the government to punish corruption through well-established laws and property rights enforcement acts as a deterrent to corruption. he second work also combines game theoretical and empirical techniques. It aims to clarify the relationship between the degree of competition and political influence of firms, paying particular attention to the level of government regulations that exist in the countries in which the firms operates. The interplay between economic and political institutions is vital to any analysis on understanding the workings of political influence. The third study is purely empirical. It examines the role of two types of business network, namely, political connections and business group affiliations on a firmâs performance. Evidence was provided on Chinese firmsâ performance during the 2008 financial crisis.

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We study the dynamical properties of the RZ-DPSK encoded sequences of bits, focusing on the instabilities in the train leading to the bit stream corruption. The problem is studied within the framework of the complex Toda chain model for optical solitons. We show how the bit composition of the pattern affects the initial stage of the train dynamics and explain the general mechanisms of the appearance of unstable collective soliton modes. Then we discuss the nonlinear regime using the asymptotic properties of the pulse stream at large propagation distances and analyze the dynamical behavior of the train elucidating different scenarios for the pattern instabilities. ©2010 Crown.

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This paper applies property rights theory to explain changes in foreign affiliatesâ ownership. Post-entry ownership change is driven by both firm-level characteristics and by the differences in the institutional environments in host countries. We distinguish between financial market development and the level of corruption as two different institutional dimensions, such that changes along these dimensions impact upon ownership change in different ways. Furthermore, we argue that changes in ownership are affected by the foreign affiliateâs relatedness with its parentâs sector, as well as by the affiliateâs maturity. We use firm level data across 125 host countries to test our hypotheses.