Returns to specialization,competition, population,and growth

Using an expanding-variety endogenous growth model with purposive human capital accumulation, this paper provides an alternative explanation of why we may observe an ambiguous correlation between product market competition (PMC) and economic growth, and between population and economic growth rates. Our explanation is based on the notion of ‘returns to specialization’. Under the model's assumptions, PMC and economic growth are ambiguously correlated when returns to specialization are decreasing, whereas population growth and productivity growth are ambiguously correlated when returns to specialization are increasing. From a theoretical point of view, these results are explained by the presence or absence of an ‘increasing production-complexity’ effect associated to the use of a larger number of intermediate-input varieties in the same production process.     

Innovation,finance, and economic growth: an agent-based approach

This paper extends the endogenous growth agent-based model in Fagiolo and Dosi (Struct Change Econ Dyn 14(3):237–273, 2003) to study the finance–growth nexus. We explore industries where firms produce a homogeneous good using existing technologies, perform R&D activities to introduce new techniques, and imitate the most productive practices. Unlike the original model, we assume that both exploration and imitation require resources provided by banks, which pool agent savings and finance new projects via loans. We find that banking activity has a positive impact on growth. However, excessive financialization can hamper growth. Indeed, we find a significant and robust inverted U-shaped relation between financial depth and growth. Overall, our results stress the fundamental (and still poorly understood) role played by innovation in the finance–growth nexus.

     

Externalities, efficiency, regulation, and productivity growth in the U.S. electric utility industry

This paper examines the decomposition of total factor productivity growth for firms subject to regulation, given the production of a bad output. The production of good and bad outputs provides benefits and costs to society. Corporate socially responsible firms recognize the cost to society of producing the bad output. The paper separates the production technology and regulation effects from both the scale and technical change components. The paper also examines the measurement and decomposition of productivity growth when not accounting for production of the bad output. Using a 1992–2000 panel of 34 U.S. investor-owned electric utilities, results indicate that improvements in the scale, efficiency change, and technical change components contributed to positive growth. Not accounting for production of the bad output led to, on average, an overestimation of both the rate of productivity growth, and the contributions of scale economies and technical change to changes in productivity growth.

Spillovers,Linkages and Technical Change

Using US input–output data for the period 1958–87, I find strong evidence that industry total factor productivity (TFP) growth is significantly related to the TFP performance of the supplying sectors, with an elasticity of almost 60%. R&D intensity is also found to be a significant determinant of industry TFP growth, with an estimated return of about 10–13% and the return to embodied R&D is estimated at 43%. Direct productivity spillovers, from the technological progress made by supplying sectors, appear to be more important than spillovers from the R&D performed by suppliers. They also play a key role in explaining changes in manufacturing TFP growth over time. Changes in the contribution made by direct productivity spillovers to TFP growth account for almost half of the slowdown in TFP growth in manufacturing from 1958–67 to 1967–77, and for 20% of the TFP growth recovery in this sector from 1967–77 to 1977–87. Changes in R&D intensity and embodied R&D are relatively unimportant in explaining movements in manufacturing TFP growth over these three periods.     

The linkages among energy consumption,economic growth,relative price,foreign direct investment,and financial development in Malaysia

The aim of this study is to analyse the causal relationship among energy consumption, economic growth, relative price, financial development (FD) and foreign direct investment in Malaysia using a multivariate framework. This study covers a sample from 1972 to 2009. Both the Johansen–Juselius cointegration test and bounds testing approach to cointegration consistently suggest that the variables are cointegrated. We find that energy consumption and economic growth Granger causes each other in the short and long run. In addition, both FDI-led growth and finance-led growth hypotheses are also supported by the findings from this study. Ultimately, energy is a prominent resource for financial sector development in Malaysia because we find that energy consumption Granger causes FD. Policymakers should implement a dual strategy that, on one hand, increases investment in energy infrastructure to ensure that the supply of energy is sufficient for the financial sector and economic development, while, on the other, encourages R&D in green technology such as exercising proper soil conservation techniques and sustainable farming practices in order to reduce the consumption of fossil fuels. By doing so, environmental problems such as carbon dioxide emissions can be minimised without affecting economic growth and financial sector development in Malaysia.     

Evidence on agglomeration economies,diseconomies, and growth

Conventional urban economic analysis suggests that a local economy's size is closely related to a number of features, including levels of human capital and the availability of specialized inputs, which are likely to influence positively the rate at which it accumulates further economic activity. At the same time, urban theory also suggests that once cities reach a certain level of size, these agglomeration benefits begin to peter out, while diseconomies rise rapidly. Consequently, we should see an ‘inverted U‐shaped’ pattern of growth with respect to economic size—rates of growth first rise, then fall as size increases. This paper shows that, while such a pattern is largely absent from recent data on growth in metropolitan area population and employment, it emerges strikingly in county‐level data. Copyright © 2002 John Wiley & Sons, Ltd.     

Measuring productivity growth, technical progress, and efficiency changes of CPA firms prior to, and following the Sarbanes–Oxley Act

This paper investigates productivity growth, technical progress, and efficiency change for a group of the 56 largest CPA firms in the US from the period 1996–1999 through the period 2003–2006, where the former preceded, and the latter followed, enactment of the Sarbanes–Oxley Act (SOX). Data envelopment analysis (DEA) is used to calculate Malmquist indices of three measures of interest: productivity growth, technical progress, and efficiency change. Results indicate that CPA firms, on average, experienced a productivity growth of approx. 17% from the pre- to post-SOX period. Consistent with the finding of Banker et al. [Banker RD, Chang H, Natarajan R. Productivity change, technical progress and relative efficiency change in the public accounting industry. Management Science 2005;51:291–304], this productivity gain can be attributed primarily to technical progress rather than a change in relative efficiency. In addition, results indicate that the “Big 4” firms underperformed their non-Big 4 counterparts in both productivity growth and technical progress.     

Entrepreneurship,income distribution and economic growth

Traditionally different factors and variables have been considered in the economic growth models. Following Solow’s model, economists considered physical capital and technology during 1950s–1980s. With the introduction of endogenous growth models, new forms of capital were introduced in the production function; human capital, public capital and more recently social capital. However, the consideration of qualitative variables is necessary to improve the economic growth analysis. The improvement of statistical information has favored their introduction in the economic growth models. Recently, “entrepreneurship” concept has been considered in this type of analysis. Entrepreneurship considers the capacity and ability to create new business and production activity. It is an activity not an occupation. Some authors like Schumpeter have included it in their models and they have analysed its effects on economic growth. But it is also necessary to include the role of social climate, that in a schumpterian way it could be represented by income distribution. The main objective of the paper is to analyze the relationship between entrepreneurship, income distribution and economic growth following the ideas developed by Schumpeter and we will contrast them from a empirical analysis using the GEM (Global Entrepreneurship Monitor) data.     

Endogenous growth, the Solow model and human capital

Both endogenous growth theory and the (augmented) Solow model propose a role for human capital in the growth process though each is based on different conceptual arguments. Since both approaches can justify the inclusion of human capitallevels andgrowth rates in an output growth regression the two theories cannot readily be distinguished empirically. This paper argues that the variable most commonly used in empirical studies to proxy human capital (levels or growth) — school enrolment rates (SERs) — may capture bothstock andaccumulation effects, butchanges in SERs can provide useful additional dynamic information on the contribution of human capital to growth. Empirical evidence from samples of developed and less developed countries during 1960–85 suggests important growth effects associated both with initial levels of, and changes in, SERs. The nature of these effects appears to differ between the two country groups.I am grateful to an anonymous referee and to Subrata Ghatak for helpful comments on an earlier draft of this paper, and to Massimo Suardi for research assistance     

Corruption, economic growth, and income inequality in Africa

This paper uses panel data from African countries and a dynamic panel estimator to investigate the effects of corruption on economic growth and income distribution. I find that corruption decreases economic growth directly and indirectly through decreased investment in physical capital. A unit increase in corruption reduces the growth rates of GDP and per capita income by between 0.75 and 0.9 percentage points and between 0.39 and 0.41 percentage points per year respectively. The results also indicate that increased corruption is positively correlated with income inequality. The combined effects of decreased income growth and increased inequality suggests that corruption hurts the poor more than the rich in African countries. Received: March 19, 2001 / Accepted: December 14, 2001 RID="*" ID="*" An earlier version of this paper was presented at the first AmFiTan International Conference on Development Ethics in February 2000, Dar er Salaam, Tanzania. I thank two anonymous referees of this Journal for helpful suggestions. I am, however, solely responsible for any remaining errors.     

How does growth need strength influence employee outcomes? The roles of hope,leadership, and cultural value

Abstract

Strong growth need is essential if an employee is to be motivated to complete complex and challenging jobs. It is important for organizations to attract employees with high growth need strength and help them achieve positive outcomes. However, limited research has been conducted to examine the mechanism underlying growth need strength’s positive effect on employee outcomes. Based on hope theory, we hypothesized that hope mediates the effect of growth need strength on job performance and affective commitment by transforming employees’ general desire for personal growth into goal-related cognitive thinking, comprising both ‘will’ and ‘ways’. We further hypothesized the moderating effect of transformational leadership, and the joint moderating effect of transformational leadership and individual power distance on the relationship between growth need strength and hope. We tested our hypotheses with data from a sample of 265 subordinate–supervisor dyads from China. Data analysis results supported the mediating role of hope. We found that growth need strength has a stronger effect on hope when transformational leadership is higher, and this effect is the strongest when both transformational leadership and individual power distance are simultaneously higher. The implications of these findings for human resource management research and practice are discussed.     

Scarcity, regulation and endogenous technical progress

This paper studies to which extent a firm using a scarce resource input and facing environmental regulation can still manage to have a sustainable growth of output and profits. The firm has a vintage capital technology with two complementary factors, capital and a resource input subject to quota, the latter being increasingly scarce through an exogenously rising price. The firm can scrap obsolete capital and invest in adoptive and/or innovative R&D resource-saving activities. Within this realistic framework, we first characterize long-term growth regimes driven by scarcity (induced-innovation) vs. long-term growth regimes driven by quota regulation (Porter-like innovation). More importantly, we study the interaction between scarcity and quota regulation. In particular, we show that there exists a threshold level for the growth rate of the resource price above which the Porter mechanism is killed while the scarcity-induced growth regime may emerge. Symmetrically, we also find that there must exist a threshold value for the environmental quota under which the growth regime induced by scarcity vanishes while the Porter-like growth regime may survive.     

Economic growth, size of the agricultural sector, and urbanization in Africa

This paper uses variations in international commodity prices and rainfall to construct instrumental variables estimates of the within-country effect that changes in the size of the agricultural sector and GDP per capita growth have on the urbanization rate. For a panel of 41 African countries during the period 1960-2007, the paper’s three main findings are that: (i) decreases in the share of agricultural value added lead to a significant increase in the urbanization rate; (ii) conditional on changes in the share of agricultural value added GDP per capita growth does not significantly affect the urbanization rate; (iii) increases in the urbanization rate had a significant negative average effect on GDP per capita growth.     

Information technologies, embodiment and growth

This paper studies the conditions under which an IT revolution may occur and have permanent effects on long-term growth. To this end, we construct a multi-sectoral growth model with endogenous embodied technical progress. The R&D sector expands the range of softwares. The capital sector produces efficient capital combining hardware with available softwares. Technological progress is therefore embodied: New softwares can only be run on the most recent generations of hardware. The new softwares are copyrighted during a fixed period of time. First, we analytically characterize the balanced growth paths of the model. Then we focus on the dynamic response of the economy to technological shocks. Substitution effects favorable to the IT sectors are shown to arise when positive supply shocks affect the production of efficient capital and/or the creation of new softwares. Positive shocks specific to the capital sector are unable to produce effects on long-term growth, in contrast to the shocks specific to the R&D sector.     

Innovation dynamics and fiscal policy: Implications for growth,asset prices,and welfare

We study the equilibrium implications of different fiscal policies on macroeconomic quantities and welfare by utilizing an endogenous growth model that matches asset pricing data well. The fiscal instruments of interest are (i) subsidies to R&D expenditure, consumption and capital investment, and (ii) cuts in labor and corporate tax rates. Our equilibrium analysis provides new insights on the interplay of innovation dynamics and fiscal policy. Importantly, we find growth and welfare to be inversely related when changing R&D subsidies. However, this depends on how well the model reproduces asset pricing dynamics. Moreover, only subsidies to capital investments and cuts in the corporate tax rate have the potential to increase both growth and welfare.     

The growth of information workers in the US economy, 1950–2000: the role of technological change,computerization, and structural change

Using data from the decennial US Censuses of 1950, 1960, 1970, 1980, 1990, and 2000, I construct matrices of employment by 267 occupations and 64 industries and then aggregate the occupations into four categories: (i) knowledge producers; (ii) data processors; (iii) service workers; and (iv) goods-processing workers. I find that information workers (the sum of the first two categories) increased from 37% of the workforce in 1950 to 59% in 2000. Then, using an input–output decomposition analysis, I find that the growth in information workers was driven not by a shift in tastes toward information-intensive goods and services (as measured by the composition of final demand) but rather by a roughly equal combination of the substitution of information workers for goods and service workers within the structure of production of industries and the unbalanced growth effect (from differential rates of industry productivity growth). Finally, on the basis of regression analysis, I find that R&D expenditures and computer investment are positively associated with the growth in knowledge workers but negatively associated with the growth of data workers.     

Agglomeration and taste heterogeneity: Equilibria,stability, welfare and dynamics

The spatial concentration of economic activity is modeled as a tag-of-war between consumer taste heterogeneity for location and external production benefits from the agglomeration of firms at the same location. The existence, number, stability and welfare of general equilibria are fully examined for a simple system of two regions which are identical a priori. When agglomeration effects are negligible at small sizes, the two locations grow equally until a critical bifurcation results in the accelerated growth of one location which ultimately attracts all activity. The supercritical bifurcation characterizes the case of agglomeration effects which are initially strong but become fully exhausted with size. In this case concentration occurs at the final phases of a decline process which exhibits a hysteresis effect relative to the opposite growth process. Both growth and decline involve middle cycles of non-equilibrium and stochastically sparked adjustment.     

我国人口资源环境与经济的可持续发展

为了保持经济又好又快的发展,应该正确处理人口、资源、环境与经济的关系;必须长期坚持计划生育的基本国策,控制人口增长的数量,提高人口的质量,减轻过多的人口对资源和环境的压力;提高自主创新能力,转变经济增长方式,发展循环经济,节能减排,建设资源节约型、环境友好型社会,走新型工业化道路,实现可持续发展战略。     

China's total factor productivity estimates by region, investment sources and ownership

This paper constructs China national and provincial physical capital and human capital for the period 1984–2006. The estimation of physical capital is extended to the use of sources of fund and ownership of fund. The growth accounting framework is used to calculate the output, input and total factor productivity growth rates. The relative variance method is used to compare the relative importance to output growth by input growth and productivity growth. The empirical findings show that although output growth in post-reform China has been contributed much by growth in total factor productivity, output volatility has relied more on input growth, and TFP growth has not been supported by complementary changes. There are regional differences when looking at the performance of individual growth rates.     

Corruption, Growth, and Income Distribution: Are there Regional Differences?

This paper uses panel data from 61 countries at different stages of economic development over a 20-year period to investigate regional differences in the effect of corruption on economic growth and income distribution. Using two measures of corruption, we find that there are statistically significant regional differences in the growth and distributional impacts of corruption. The largest growth impact of corruption is found in African countries while OECD and Asian countries have the lowest growth impact. On the other hand, the largest distributional impact of corruption in found in Latin America. A 10% decrease in corruption increases the growth rate of income by about 1.7% in OECD and Asian countries, 2.6% in Latin American countries, and by 2.8% in African countries. A one standard deviation decrease in corruption decreases the gini coefficient of income distribution (0–1 scale) by 0.05 points, 0.14 points, 0.25 points, and 0.33 points in OECD, Asian, African, and Latin American countries, respectively. The results are robust to various specifications, measurement of corruption, measures of investment, as well as the conditioning variables. The results have interesting policy implications for economic growth, especially in low income countries with high rates of corruption.