7 resultados para JETRO (Japan External Trade Organization)

em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain


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Material throughput is a means of measuring the so-called social metabolism, or physical dimensions of a society’s consumption, and can be taken as an indirect and approximate indicator of sustainability. Material flow accounting can be used to test the dematerialisation hypothesis, the idea that technological progress causes a decrease in total material used (strong dematerialisation) or material used per monetary unit of output (weak dematerialisation). This paper sets out the results of a material flow analysis for Spain for the period from 1980 to 2000. The analysis reveals that neither strong nor weak dematerialisation took place during the period analysed. Although the population did not increase considerably, materials mobilised by the Spanish economy (DMI) increased by 85% in absolute terms, surpassing GDP growth. In addition, Spain became more dependent on external trade in physical terms. In fact, its imports are more than twice the amount of its exports in terms of weight.

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Campaign efforts by NGOs initially put conflict diamonds on the global radar screen in the late 1990s. In response, the Kimberley Process (KP), a negotiation forum between states, NGOs, and industry, was formed to discuss possible solutions to curb the trade in conflict diamonds. Less than three years later, a voluntary, global certification named the Kimberley Process Certification Scheme (KPCS) was adopted. The KPCS regulates the trade of rough diamonds by certifying all legitimate diamonds. This paper outlines the problem of conflict diamonds, how a global campaign raised awareness about the issue, and how the process of solution building unfolded in the KP. My analysis focuses on the diverse set of actors (NGOs, states, and industry) and their changing interactions over the course of the campaign and global regulation efforts. I conclude with several key lessons that capture important elements observed in this case study.

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This paper investigates the effects of fiscal policy on the trade balance using a structural factor model. A fiscal policy shock worsens the trade balance and produces an appreciation of the domestic currency but the effects are quantitatively small. The findings match the theoretical predictions of the standard Mundell-Fleming model, although fiscal policy should not be considered one of the main causes of the large US external deficit. My conclusions differ from those reached using VAR models since the fiscal shock, possibly due to fiscal foresight, is nonfundamental for the variables typically used in open economy VARs.

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We consider an entrepreneur that is the sole producer of a costreducing skill, but the entrepreneur that hires a team to usethe skill cannot prevent collusive trade for the innovation related knowledge between employees and competitors. We showthat there are two types of diffusion avoiding strategies forthe entrepreneur to preempt collusive communication i) settingup a large productive capacity (the traditional firm) and ii)keeping a small team (the lean firm). The traditional firm ischaracterized by its many "marginal" employees that work shortdays, receive flat wages and are incompletely informed about the innovation. The lean firm is small in number of employees,engages in complete information sharing among members, that are paid with stock option schemes. We find that the lean firm is superior to the traditional firm when technological entry costsare low and when the sector is immature.

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We consider the agency problem of a staff member managing microfinancing programs, who can abuse his discretion to embezzle borrowers' repayments. The fact that most borrowers of microfinancing programs are illiterate and live in rural areas where transportation costs are very high make staff's embezzlement particularly relevant as is documented by Mknelly and Kevane (2002). We study the trade-off between the optimal rigid lending contract and the optimal discretionary one and find that a rigid contract is optimal when the audit cost is larger than gains from insurance. Our analysis explains rigid repayment schedules used by the Grameen bank as an optimal response to the bank staff's agency problem. Joint liability reduces borrowers' burden of respecting the rigid repayment schedules by providing them with partial insurance. However, the same insurance can be provided byborrowers themselves under individual liability through a side-contract.

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This paper analyzes the choice between different innovationactivities of a firm. In particular, we study the technologyacquisition decision of the firm, i.e. its technology BUYdecision as part of the firm's innovation strategy. We take a closer look at the different types of external technologyacquisition where we distinguish two broad types of technologybuy decisions. On the one hand, the firm can acquire new technology which is embodied in an asset that is acquired suchas new personnel or (parts of) other firms or equipment. On the other hand, the firm can obtain new technology disembodiedthrough a licensing agreement or by outsourcing the technologydevelopment from an R&D contractor or consulting agency. Through a series of Probit regressions, we discuss variables that might affect external technology acquisition choices of the firm andpay special attention to the firm's abilities to scan the market for technology and to absorb the technology acquired. Furthermore, we analyze the effect of different appropriationregimes on the decision of the firm to source technology.

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Economy, and consequently trade, is a fundamental part of human social organization which, until now, has not been studied within the network modeling framework. Here we present the first, to the best of our knowledge, empirical characterization of the world trade web, that is, the network built upon the trade relationships between different countries in the world. This network displays the typical properties of complex networks, namely, scale-free degree distribution, the small-world property, a high clustering coefficient, and, in addition, degree-degree correlation between different vertices. All these properties make the world trade web a complex network, which is far from being well described through a classical random network description.