Externalities,Cross-Sectoral Spillovers and Productivity Growth

We provide an interpretation of the productivity dynamics in the manufacturing sector based on the idea of the thick market externality à la Diamond. An econometric model has been estimated which allows to disentangle the long run effects of these trading externalities from those of internal economies of scale and of aggregate industry-level economies. The results obtained—based on a cointegrated system of non-linear-error-correction equations—confirm the hypothesis that the trading externality matters. Moreover, our findings point out that the emphasis generally posited both on internal and external economies of scale is not justified.     

A DEA Approach to Understanding the Productivity Growth of Malaysia's Manufacturing Industries

This paper seeks to explain the productivity growth performance of Malaysia's manufacturing sector using a panel data of 28 industries from 1981–1996. Here, the data envelopment analysis technique is used to calculate and decompose the Malmquist index of total factor productivity (TFP) growth into technical change, change in technical efficiency and change in scale efficiency. This allows the identification of the sources of productivity growth which is crucial for policy formulation. It was found that the annual TFP growth of the Malaysian manufacturing sector was low at 0.8% and this was driven by small gains in both technical change and technical efficiency, with industries operating close to optimum scale.     

Productivity and Technical Change in Malaysian Banking: 1989–1998

This study examines the impact of deregulation and technological change on the productivity of Malaysian banks over the period 1989–1998. Malmquist indices constructed with nonparametric DEA techniques are decomposed into their pure efficiency, scale efficiency, and technological change components. Our findings indicate an erosion of banking productivity that masks divergent tendencies among its component elements. These are dominated by adverse effects of technological change, which are associated with a reduction in the labor intensity of banking activity. Consistent with the mixed findings reported in the literature, the present investigation suggests that regulatory reform and liberalization are not sufficient conditions for productivity improvement.JEL classification: D24, G21This paper was written while Dogan was a member of Monash University Malaysia. Financial support from the Faculty of Business and Economics at Monash University is gratefully acknowledged, as are the constructive comments from two anonymous referees.     

IRB法下公司敞口组合的风险驱动因子计量研究

巴塞尔银行监管委员会针对防范信贷组合信用风险所需要的资本制定的内部评级法,通过风险驱动因子的变化来反映组合回报的变化,并根据风险权重函数,通过风险加权资产转化为与每一项信用风险敞口更准确匹配的资本要求.本文对违约概率、违约损失率、违约敞口、期限因素以及违约相关性等信贷组合信用风险的风险驱动因子的度量进行了综合研究.     

How advanced is the strategy paradigm? The role of particularism and universalism in shaping research outcomes

As the field of strategy reaches its 25th anniversary, we examine how far the field has progressed during that time. Both management and strategy research have been characterized as being in an early stage of development. We draw on Kuhn's ( 1996 ) paradigm development model, which posits a connection between a field's stage of maturity and research processes and outcomes, to assess the maturity of the strategy field. We conduct two studies. The first is a cross‐discipline comparison of productivity norms for university faculty. The second study examines longitudinal research outcomes for a sample of 945 strategy faculty. Our results indicate that strategy has the attributes of both an early stage and mature field: while overall research norms are low relative to other fields, they are driven far more by merit‐based than non‐merit factors. Copyright © 2005 John Wiley & Sons, Ltd.     

The Landscape of Economic Growth: Do Middle-Income Countries Differ?

We review the growth experience of middle-income countries. Economic factors associated with growth appear to differ between middle-income and other countries. The efficiency of the financial system is importantly related to the growth rate in low- and middle-income countries, but appears to matter less as one moves up the income scale. Demographic variables also matter importantly in low-income countries. In middle-income countries, in contrast, measures of the financial system no longer appear to matter as importantly, as if inefficiencies in banking and financial systems are no longer as binding a constraint as at earlier stages of financial development; nor are demographic variables as important as before. At this point, other variables gain a growing role: these include whether the country experiences a banking or currency crisis, the extent of non-foreign direct investment capital inflows, and government debt as a share of gross domestic product.     

The Role of Total Factor Productivity Growth in Middle-Income Countries

We examine the importance of total factor productivity (TFP) growth in middle-income countries (MICs) based on cross-country panel data for the period of 1975–2014. We find that TFP growth contributed significantly to a country’s upward transition from middle-income to high-income country group. The TFP growth model reveals that the catch-up effect, human capital, smaller population, weak currency, and research and development growth are significant sources of TFP growth. We do not find a systematic difference in the TFP growth models for MICs. In analyzing the role of factors influencing TFP growth at different income stages, strengthening innovative activities and building innovative capacities are important in overcoming the challenges that MICs face when transitioning to the high-income group. Governments of upper MICs need to initiate reform to motivate innovation by optimizing national R&D systems, and redesigning the educational system to target promoting innovation.     

Measurement of Quality of Life and Well‐Being in France: The Drivers of Subjective Well‐Being

Ever since the publication of the Stiglitz Report, France has been heavily involved in the measurement of well‐being. The French Statistical Institute (INSEE) has expanded the scope of its existing surveys. It has also launched an innovative experimental survey which, drawing upon a single statistical source, aims for the first time to explore the different dimensions of both objective and subjective quality of life, as highlighted in the Stiglitz Report. It allows us to study, at the individual level, correlations between these dimensions and the accumulation of deprivations. It has enabled us to better understand the links between determinants generally referred to as objective dimensions of quality of life (such as health or education) and subjective well‐being. This information is of paramount importance for policy makers who cannot act directly on the level of people's satisfaction but can only act upon the levers of objective dimensions. This paper presents the main findings of the experimental survey.     

Do R&D and ICT affect total factor productivity growth differently?

We analyze the effect of ICT and R&D on total factor productivity (TFP) growth across different industries in Sweden. R&D alone is significantly associated with contemporaneous TFP growth, thus exhibiting indirect effects. Although there is no significant short-run association between ICT and TFP, we find a positive association with a lag of seven to eight years. Thus, R&D affect TFP much faster than ICT-investments. We also divide ICT capital into hardware and software capital. To our knowledge, this distinction has not been made in any previous study analyzing TFP at the industry level. The results show that lagged hardware capital services growth is significantly associated with TFP growth. Hence, investments complementary to hardware are needed to reap the long-run TFP effects from reorganizing production.     

The Effects of Productivity Shocks,Financial Shocks,and Monetary Policy on Exchange Rates: An Application of the Currency Crisis Model and Implications for Emerging Market Crises

What kind of shock affects exchange rate dynamics? How much of an effect does the monetary policy have on exchange rates? To answer these questions empirically based on the currency crisis model, I use panel data on 51 emerging countries from 1980 to 2011, identify shocks, and apply instrumental variable methods. I found that both productivity shocks and shocks to a country’s risk premium affect exchange rates and a 1 percentage point increase in the policy interest rate is associated with a 1 percentage point appreciation of domestic currency. I further apply this method to Asian and Latin-American crises.