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This paper explores the pattern of technical change in the Korean economy from 1970 to 2013 and investigates its determinants. We use the Classical growth-distribution schedule to show that the labor-saving and capital-using pattern has predominated. For the rationale behind this Marx-biased technical change, we focus on the relationship between technical change and real wage growth via the evolution of labor and capital productivity, and verify the historical direction of technical change against the rise and fall of the working class. Furthermore, we find that the deviation during the post-crisis period from the long-run trend of Marx-biased technical change is not attributable to the vitality of new technological innovations, but rather the reflection of class dynamics over extracting productivity under weaker capital deepening. The results suggest that the recent deterioration of labor share and labor unions in Korea is closely associated with low incentive for technological progress, which contributes to prolonged stagnation.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

In this, the second edition, the experience of actually running a marketing planning process in organisations further updates and revises the highly practical emphasis. The need for vision, how to enunciate it, and the interface between various levels of managers are integrated specifically into the process. Further analysis using the SWOT technique is provided together with enhanced insight into maintaining competitive advantage. Essentially a practical manual on running a planning process, the worksheet method has been well tried and tested. The experience of managers who have implemented the process using the first edition is included to enhance the technique′s dynamism and effectiveness.

The financial system of an economy, especially banking, facilitates efficient allocation of resources from savers to borrowers for productive investments, and thus promotes economic growth. State-wise bank credit in India shows a growing divergence, despite the aim of central planning to reach a degree of convergence in macroeconomic performance over time. This chapter analyzes how diverging bank credit affects macroeconomic performances of the Indian states, through an alternative approach of composite indicators-based rankings of states adopting the methodology of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) that is used in operations research or more specifically MCDM (multiple criteria decision-making). A composite indicator of the states’ annual macroeconomic performances has been constructed taking indicators of output growth, per capita state domestic product, inflation, and fiscal indicators for years 2006–2018. States are ranked by both macroeconomic performance and bank credit to states, and the correlation between the two indicators, known in the literature to be interlinked,is studied here to understand how the availability of credit or lack of it has influenced State level macroeconomic development in India. The results thus show that wealthier and better performing states continue to attract the larger chunk of bank credit, while weaker states have not been able to catch up. An important policy implication would be to place even more emphasis on higher levels of credit growth for weaker states, particularly infrastructure credit, to achieve a degree of income convergence throughout the Indian economy.

This article provides a detailed investigation of how Lewis revisited classical and Marxian concepts such as productive/unproductive labor, economic surplus, subsistence wages, reserve army, and capital accumulation in his investigation of economic development. The Lewis 1954 development model is compared to other models advanced at the time by Harrod, Domar, Swan, Kaldor, Solow, von Neumann, Nurkse, Rosenstein-Rodan, Myint, and others. Lewis applied the notion of economic duality to open and closed economies.

The purpose of this study is to examine factors leading to venture success, emphasizing the role of entrepreneurs as critical in the whole process, based on a sample of women entrepreneurs. Drawing upon the competence-based view of the firm, it examines the effect of entrepreneurial competencies, managerial competencies and reliance on networks toward increased female venture success rates.

A structured questionnaire was allocated to women entrepreneurs to seek respondents’ perceptions. Principal component analysis (PCA) with varimax rotation was undertaken to confirm the constructs’ validity. A hierarchical regression analysis was performed to test the hypotheses.

Networking stands out as having the most significant positive effect on venture success while entrepreneurial and managerial core competencies are both important, with entrepreneurial competencies demonstrating a slightly higher score. Also, years of entrepreneurial experience, entrepreneurial family background and family status prove significant.

The study confirms prior research, highlighting the role of entrepreneurs as central, sharpening understanding of the required determinants of venture success. It further provides new insight into venture success from the perspective of the competence-based theory, highlighting clear-cut competencies.

The study paves the way for the design of entrepreneurial learning programs targeting entrepreneurs and particularly females, highlighting the need for on-going education and educational programs to support entrepreneurs and distinctly women.

The study contributes to the effective management of venture progress and success and provides insight into entrepreneurs and policymakers.

This work examines the impact of institutional agricultural credit on crop productivity of some major crops such as paddy, cotton, wheat and pulses for small and marginal farmers across various social groups.

The cross-sectional field data on socio economic variables was collected from three Indian states from about 400 small and marginal farmers across various social groups using multi-stage stratified random and purposive sampling through a structured questionnaire by interviewing. The method of propensity score matching (PSM) was employed to calculate average treatment effect (ATE) and average treatment effect on the treated (ATET) by categorising sample farmers as treatment group and control group where crop productivity was considered as outcome variable and access to institutional credit was considered as treatment variable.

The PSM estimates reveal that ATE and ATET for all the selected crops are found to be significantly higher for the treated group vis-à-vis non-treated group suggesting that institutional agricultural credit has a statistically and significant positive impact on the crop productivity.

Similar study can be extended for more crops and across regions in India for a universal coverage.

The agricultural credit policy of India has been to increase the access and availability of institutional farm credit. This has led to in general increase in the flow of formal farm credit to agricultural sector. However, the impact of institutional credit and crop productivity especially for small and marginal farmers across social groups is not well recognized in India using field data. Accordingly, this field data study contributes to the existing research by providing fresh evidence from field across social groups for both kharif and rabi crops using recent survey data from small and marginal farmers which has important policy implications.

The purpose of this paper is to quantify the impact of social or government transfers on income inequality and poverty in South Africa.

A top-down, bottom-up (TD-BU) model which combines an econometrically estimated labor supply model, a detailed tax-benefit module and a computable general equilibrium model is used in order to analyze the impact of government transfers on income inequality and poverty in South Africa. The paper uses a merged South African income and expenditure household survey and labor force survey for the year 2000, and a South African social accounting matrix as the main data sets.

Simulation results suggest that doubling of government transfers lead to a 5.5 percent reduction in poverty if a relative poverty measure is used and a 7 percent reduction if an absolute poverty line is used. In addition, simulation results show differences in poverty and inequality measures between the MS-only model and the linked TD-BU model confirming the importance of linking the two models.

The TD-BU approach is important since it explicitly accounts for the following aspects: that labor supply should adjust to changes in the tax-benefit model, general equilibrium effects and the heterogeneity of economic agents. This allows for a richer micro-household modeling.