44 resultados para China -- Economic conditions -- 1976-2000


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Following Daniel Ortega's victory in the presidential election held in November 2006, Nicaragua has been undergoing a transition from a democratic to authoritarian system. In the 1980s, Ortega served as President of the Sandinista government and implemented a Cuban-type socialist system, but the system failed and democracy was established during 1990-2007. Considering this failure, why did Ortega succeed in taking power again? This paper provides a brief history of modern Nicaragua and gives some insights into the twists of Latin American politics. The paper was prepared for the international seminar on Helping Failed States Recover: The Role of Business in Promoting Stability and Development, organized by the University of Kansas Center for International Business Education and Research (CIBER), held on April 4-6, 2007 in Lawrence. The opinions and views expressed herein are those of the author. All mistakes and/or errors are entirely the author's responsibility.

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In Kazakhstan, uncover of numerous corruption scandals involving government officials has become almost a normal feature of life. Behind the high-profile acts of waging a battle against corruption, however, is a serious and systemic phenomenon. The most endemic form of corruption is the various transfers of funds in the state structures and national companies which remain opaque and thus unaccounted for. There are questions about the volumes and spending of revenues earned from natural resources, and there is no independent monitoring and control of the flow of funds in national oil and gas companies. The main actors involved in the shadow economy are state officials and informal pressure groups, who distribute resources among themselves, and accumulate wealth by way of legalising informal incomes or obtaining official business using connections. While important decision making is carried out among the close circles of the elite, formal institutions remain weak and ineffective.

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The presence of a large informal sector in developing economies poses the question of whether informal activity produces agglomeration externalities. This paper uses data on all the nonfarm establishments and enterprises in Cambodia to estimate the impact of informal agglomeration on the regional economic performance of formal and informal firms. We develop a Bayesian approach for a spatial autoregressive model with an endogenous explanatory variable to address endogeneity and spatial dependence. We find a significantly positive effect of informal agglomeration, where informal firms gain more strongly than formal firms. Calculating the spatial marginal effects of increased agglomeration, we demonstrate that more accessible regions are more likely than less accessible regions to benefit strongly from informal agglomeration.

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Economic backwardness often influences the growth of firms in developing countries. In this paper, we investigate the growth conditions and paths available for latecomers competing with first movers. Employing the concepts of boundaries of the firm and the disadvantage of backwardness, we present a case study of China's mobile handset industry and proceed to develop a simple model. We find that although significant disadvantage does not allow latecomers to grow, there are possibilities for changing the conditions of growth if latecomers can utilize outside resources and/or indigenous advantages.

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This paper empirically examines the different comparative advantages of two emerging economic giants, China and India, in relation to the different skill distribution patterns in each country. By utilizing industry export data on China and India from 1983 to 2000, we find that a country with a greater dispersion of skills (i.e., India, especially in the earlier years) has higher exports in industries with shorter production chains, whereas a country with a more equal dispersion of skills (i.e., China, especially in the later years) is found to have higher exports in industries with longer production chains. The causal relationship is fairly robust across different specifications. This empirical evidence supports our assumption that the likely mechanism for these results is the negative impact of low-skilled workers on input quality, which accumulates and becomes larger as the length of production chains and the proportion of low-skilled workers in the economy increase.