Health and Productivity: Panel Data Evidence from Ethiopia

Abstract: Neoclassical growth models and endogenous growth theories show the positive contribution of human capital to growth. Using household panel data (1994–2000) on individuals who reported their wages in urban Ethiopia, we estimated a relationship between health measures (i.e. proxied by height and BMI) and wages (which proxies productivity/growth). Our findings from the IV quantile regression estimates indicate that productivity is positively and significantly affected by education, height and BMI. The return to BMI is important both at the lower and upper end of the wage distribution. The return to height is significant only at the end of the wage distribution. The substantive content of the results (i.e. the high‐nutrition and high‐productivity equilibrium story) does not change even if we did not control for endogeneity of schooling. Non‐parametric evidence also supports the strong and positive relationship between productivity and our indicators of human capital.     

The Relation Between Earnings Management and Non‐GAAP Reporting

Managers have a variety of tools at their disposal to influence stakeholder perceptions. Earnings management and the strategic reporting of non‐GAAP earnings are just two of the available menu choices. We explore how real earnings management and accruals management influence the probability that a company will disclose a non‐GAAP adjusted earnings metric in its earnings press release and the likelihood that it will do so aggressively. We first investigate situations where managers already meet analysts’ expectations either based on strong operating performance or after employing real and accruals management. We find that when solid operating performance alone allows firms to meet expectations, managers do not employ earnings management or non‐GAAP reporting. However, when managers meet expectations using real and accruals management, they are significantly less likely to report a non‐GAAP earnings metric. Next, we explore scenarios where companies fall short of expectations. We find that when they just miss expectations after managing GAAP earnings, they are significantly more likely to employ non‐GAAP reporting, suggesting that the timing and relatively costless nature of non‐GAAP reporting allows managers to appear to meet expectations on a non‐GAAP basis when managed GAAP earnings fall short. Moreover, we find that companies are more likely to report non‐GAAP earnings (and to do so aggressively) when (i) they are unable to use real or accruals earnings management, (ii) are constrained by prior‐period accruals management, and (iii) their operating performance is poor. Taken together, our results are consistent with a substitute relation between non‐GAAP reporting and both real and accruals management.     

nAch training,organizational climate and organizational performance

The aim was to investigate the effects of nAch training given to managerial staff in clothing factories on four dependent variables, ie perception of organization climate, labour productivity, labour turnover and labour absenteeism. A field experiment done on a pre‐test post‐test basis was carried out. Three factory management teams were assigned to an experimental group and were subjected to the training intervention. The members of the management teams from nine factories formed the control group. Psychometric measuring instruments used were the Organization Diagnostic Questionnaire and Strümpfer's Inventory of Some Personal Reactions. Analysis of Variance based on trend analyses and some other parametric and non‐parametric statistical techniques were used to analyse the data. The analysis indicated that perceptions of organization climate were not altered by the experimental intervention but that achievement values did increase. Labour productivity was also elevated significantly by the intervention. No significant effects on labour turnover and absenteeism could be shown.     

THE PREDICTABILITY OF STOCK MARKET RETURNS IN SOUTH AFRICA: PARAMETRIC VS. NON‐PARAMETRIC METHODS

This paper compares the forecasting performance of a sub‐class of univariate parametric and non‐parametric models in predicting stock market returns in South Africa. To account for conditional heteroskedasticity in stock returns data, the non‐parametric model is generated by the conditional heteroskedastic non‐linear autoregressive (NAR) model, while the parametric model is produced by the generalised autoregressive conditional heteroskedastic in mean (GARCH‐M) model. The results of the paper show that the NAR as a non‐parametric model performs better than the GARCH‐M model in short‐term forecasting horizon, and this indicates the importance of a distribution‐free model in predicting stock returns in South Africa.     

Rural-urban Migration and Dynamics of Income Distribution in China： A Non-parametric Approach

Extending the income dynamics approach in Quah (2003), the present paper studies the enlarging income inequality in China over the past three decades from the viewpoint of rural–urban migration and economic transition. We establish non‐parametric estimations of rural and urban income distribution functions in China, and aggregate a population‐weighted, nationwide income distribution function taking into account rural–urban differences in technological progress and price indexes. We calculate 12 inequality indexes through non‐parametric estimation to overcome the biases in existing parametric estimation and, therefore, provide more accurate measurement of income inequality. Policy implications have been drawn based on our research.     

Firm Productivity and Foreign Direct Investment into Non‐core Activities*

As foreign direct investment (FDI) often originates from multinational enterprises (MNEs) with non‐core activities and not single‐product firms, as MNE theory typically suggests, we hypothesize that such firms are more productive than MNEs without non‐core activities as well as non‐MNE firms. We test this hypothesis using Kolmogorov–Smirnov stochastic dominance Tests and Japanese firm‐level productivity and FDI data for the period 1985–2001. We find that both manufacturing and service multinational firms with non‐core foreign investments stochastically dominate firms without non‐core activities. We also find cost‐complementarities between certain core and non‐core FDI activities that span both manufacturing and service affiliates.     

Productivity Gains from Offshore Outsourcing: Evidence from the Chinese Manufacturing Industry

Using the Cobb–Douglas production function and vertical specialization share, the present paper measures the productivity spillover effects of offshore outsourcing in the Chinese manufacturing industry. We examine different production factors and the degree of openness by dividing the Chinese manufacturing industry into five major categories: capital‐intensive business, technological‐intensive business, labor‐intensive business, open business and non‐open business. The results show that offshore outsourcing is positively associated with productivity in the Chinese manufacturing industry as a whole, but less so in labor‐intensive industries and more in capital‐intensive industries. Moreover, the positive impact of outsourcing on productivity is slightly higher in open industries than in non‐open industries. These results shed light on the differential spillover effects of offshore outsourcing on productivity. Our findings suggest that outsourcing structure is important to China's long‐run competitive advantage. China's policy‐makers should encourage further offshore capital‐intensive and technology‐intensive activities and focus more on outward‐oriented offshore businesses.     

Corporate Tax Planning and Financial Performance in Nigerian Non‐Financial Quoted Companies

This study investigates the relationship between corporate tax planning and financial performance of quoted non‐financial companies. The secondary yearly data used were gathered from 47 sampled non‐financial companies from 2007 to 2016. A panel vector autoregressive approach with structural analysis such as variance decomposition and impulse response function was adopted. The results of the study revealed that tax saving had a direct relationship with financial performance, while tax avoidance had an inverse relationship with financial performance. The financial variables under consideration mainly contributed to their own shocks or forecast errors. The responses of the financial performance to shocks in tax avoidance had an expansionary effect which could hinder the performance of the companies, while financial performance response to shocks in tax savings had a contractionary effect and as such, could lead to better performance of the companies. Thus, corporate tax planning that enhances tax savings greatly contributes to the performance of non‐financial companies. They should therefore not only engage in tax planning, but also ensure that their tax planning is legal, and leads to tax saving for the companies, such that no excessive or multiple tax will be paid and hence, better financial performance will be achieved.     

Nonparametric Evaluation of Economies of Scope in the Context of Technical Efficiency: The Case of Rice and Vegetable Farms in Korea

This paper provides a nonparametric evaluation of economies of scope in the context of technical efficiency allowing for non‐convexity, with an application to Korean rice and vegetable farms. Relying on non‐parametric‐free disposal hull and data envelopment analysis approaches and input–output data for rice and vegetable farms from the Korea Farm Household Economy Survey data collected in 2007, this article examines technical inefficiency and its decomposition under non‐convexity and convexity. Empirical measures of technical inefficiency and its decomposition results are provided, with a focus on a component of technical inefficiency associated with economies of scope (i.e. diversification benefits) under non‐convexity in production technology. The decomposition measures of technical inefficiency include pure technical inefficiency, size inefficiency and diversification inefficiency. The results provide empirical evidence supporting size‐dependent diversification strategies, where benefits of diversification are larger for small farms on average compared to those of large farms.     

全球制造业传统与环境生产率变化及收敛性的比较论证

文章旨在通过2000-2009年期间数据研究制造业在全球经济体以及不同行业之间传统生产率以及能源生产率的变化趋势以及收敛特征。相比于传统生产率,在核算能源生产率过程中纳入了二氧化碳排放量等非期望型产出。分别采用DEA-Malmquist以及Global Malmquist Luenberger指数法测算两类生产率指数并进行比较分析,进而对分经济体以及分行业两类生产率进行了收敛性的检验。研究指出制造业在经济体之间以及行业之间的δ收敛特征均不明显,但除了重工业的传统生产率,其他分经济体以及分行业之间两类生产率都存在显著的绝对β收敛以及条件β收敛。总体上能源效率的收敛速度低于传统效率,但在不同行业及经济体之间,收敛的态势与表现存在较大的差异。     

The Effects of Regional Economic Communities on Industrialization: The Case of COMESA

This paper seeks to establish the contribution of the Common Market for Eastern and Southern Africa (COMESA) programmes in promoting industrialization. It further seeks to establish the link between industrialization and productivity. The paper uses a gravity model to estimate a cross‐sectional time‐series (panel) dataset for the period 2001–2015. The results indicate that membership to COMESA has created large markets and promoted industrialization among member states. However, results also confirm that COMESA member states still heavily trade in industrial intermediates with non‐members. The study further reveals that the share of foreign total factor productivity (TFP) to COMESA's TFP are weaker than expected, which suggests non‐convergence to international knowledge spillovers. The study concludes that COMESA programmes have positively affected industrialization. We therefore recommend that COMESA should continue implementing strategies, policies and programmes that promote industrialization and technology transfer.     

Note on global dynamics and imbalance effects in the Lucas–Uzawa model

In the traditional literature on the Lucas–Uzawa model, it is proved that in the so‐called normal parametric case, human capital stock grows at a rate greater than its long‐run counterpart in the neighbourhood of the long‐run balanced growth path. We first prove that the claim is true outside the neighborhood of balanced growth paths. More importantly, we identify a crucial asymmetry: whatever the parametric case considered, physical capital stock always grows at a rate lower than its long‐run counterpart when the ratio of physical to human capital is above its long‐run value.     

Measuring Green Productivity Growth for China's Manufacturing Sectors: 1991–2000*

Over the past two decades, China has sustained rapid economic growth of 8–10 percent, part of which is attributed to the positive total factor productivity (TFP) growth. However, this extraordinary economic performance has been accompanied by severe environmental pollution and associated health damage. The conventional TFP method is biased in interpreting the progress of technology change because it does not consider non‐marketable residues, such as environmental pollution, and, hence, efficiency improvements in terms of pollution abatement technology and environmentally friendly management are ignored. This bias might direct our attention to less efficient use of environmental friendly abatement technologies or send wrong signals to policy‐makers. To address this issue, the present paper applies a modified welfare‐based green TFP approach, treating environmental damage as non‐desirable (negative) residual output. Therefore, environmental efficiency is taken into account to accurately interpret technological progress from a social welfare point of view. Based on a national time‐series input–output table, historical capital and labor input data for China and sectoral level air pollution emission data from 1991 to 2000, the empirical results suggest that with increasingly stringent environmental regulations, many pollution intensive sectors, such as electricity, primary metal and chemical industries, improved their environmental efficiency in the late 1990s. However, because of the weak environmental regulations in construction and transportation, and in sectors primarily composed of small private or township and village industrial enterprises, firms within these industries contributed to increasing environmental degradation.     

Export survival pattern and its determinants: an empirical study of Chinese manufacturing firms

While empirical studies of export entry have proliferated, less attention has been devoted to the study of export survival in foreign markets. This paper explores the patterns and determinants of export survival using data on Chinese manufacturing firms for the period 1998–2007. The analytical methods used include non‐parametric techniques and the estimation of a discrete‐time duration model. Our results show the high probability of exit of exporters at the start of the period. We also find that large, highly productive and more export‐oriented firms are more likely to export for a longer period. In addition, foreign ownership is found to be an important determinant of export survival, while state ownership increases the risk of export failure.     

Companies' insolvency and ‘the nature of the firm’ in Italy, 1920s–70s1

This article analyses the functioning of Italian insolvency laws and practices, in particular their role in the selection and relaunch of viable firms. The article investigates the period between the 1920s and the 1970s, and focuses on joint‐stock companies. Using comparative data on the number of cases, we show that in Italy firms mainly used the procedure called fallimento (bankruptcy), consisting of the collection and subsequent liquidation of assets. Other procedures, such as deals with creditors or forms of receivership, able to give companies a further chance, were rarely used. On the basis of archival documents we maintain that this result was due to the strictness and complication of Italian procedures, as well as to their inability to select viable companies. The article also investigates the relation between the features of insolvency law and the nature of the Italian industrial system, specifically the peculiar small size and rapid turnover of joint‐stock companies. We suggest that the pro‐liquidation character of the insolvency law might have been one of the causes of the peculiarity of Italian industrial capitalism, even if the opposite direction of causality cannot be excluded.     

An Alternative Business Cycle Dating Procedure for South Africa

This paper applies a factor‐augmented Markov‐switching model to the South African economy to provide an alternative classification of the business cycle and its turning points. In the principal components step, 123 variables are used to establish the aggregate cyclicality in all sectors of the economy with the number of factors chosen using a modified Bai and Ng method. By exploiting the rich nature of the dataset, we provide a model with well‐defined statistical properties that compares favourably with the South African Reserve Bank (SARB) dating points. Combining the results of the parametric approach followed in the Markov‐switching model and the non‐parametric approach followed by the SARB should allow for a robust turning point analysis. A Markov‐switching model of real gross domestic product is also estimated because this variable is commonly used in the literature and provides a benchmark for the factor models.     

All entrepreneurial productivity increases are not created equal

We examine the impact of productivity increases in a setting where wealth‐constrained entrepreneurs are privately informed about whether their project will succeed with high (p_H) or low (p_L) probability. Not surprisingly, many productivity increases (e.g., an increase in p_H) generate gains for entrepreneurs and/or venture capitalists. However, some productivity increases (e.g., an increase in p_L) can generate widespread losses. Furthermore, entrepreneurs with low‐productivity projects can benefit more from policies that increase the productivity of high‐quality projects than from policies that increase their own productivity. Therefore, the design of policy to enhance welfare in the entrepreneurial sector can entail important subtleties.     

Do Exporting Firms Pay Higher Wages? Evidence from Kenya's Manufacturing Sector

Abstract: When trade liberalization was first embarked on in Kenya some 20 years ago, a key argument against it was that it would reduce domestic wages, as exporting firms sought to remain competitive versus, for example, the low‐cost Asian countries. A counter argument was that manufactured exports require more elaborate design, supervision, packaging and handling, and thus a more educated labor force than production for the domestic market. To attract such skills, exporting firms would need to pay higher wages than non‐exporting ones. This paper uses data from Kenyan manufacturing to study the impact of trade liberalization on earnings, distinguishing between exporting and non‐exporting firms. In particular, it investigates whether exporting firms paid a wage‐premium to their employees. The study uses manufacturing firm survey data from a World Bank regional project. The study has three important findings: (1) There was a large and significant effect of exporting on wages in the first decade of trade liberalization. During the first half of the 1990s, workers in exporting firms earned up to 30 percent more than those engaged in non‐exporting firms. The results are robust even after controlling for individual and firm‐level characteristics such as employee demographics, productivity, firm location and occupation. (2) After a decade of trade liberalization, exporting ceased to be a significant determinant of wages in Kenyan manufacturing, after controlling for productivity and firm location. (3) During the 2000s, casual or irregular employment became a more common feature of exporting firms. The results suggest that while higher wages were important in attracting skilled labor to exporting firms at the beginning of trade liberalization in the 1990s, domestic competition has since reduced the wage premium. Cost cutting pressures are instead reflected in the substitution of casual and low wage labor for permanent and better educated labor and in increased automation.     

Innovation and Firm‐Level Productivity: Evidence from Bangladesh

In this paper, the labor productivity impact of manufacturing firms’ innovation in Bangladesh, a region which has, to date, been understudied in this respect, is examined through World Bank Enterprise Survey data from 2003 to 2006. We apply the Cobb–Douglas production function, augmented with innovation‐related inputs (and other expected sources of productivity) in a simultaneous three‐equation system connecting R&D to its determinants, innovation output to R&D, and productivity to innovation output; and in a two‐equation system connecting innovation output to its determinants and productivity to innovation output. Our results reveal that Bangladeshi firms’ process innovation is an important factor for their labor productivity, whereas the significant effect of product innovation is not clearly established.     

Productivity Measurement and the Relationship between Plant Performance and JIT Intensity*

The management accounting and operations management literatures argue that the adoption of advanced manufacturing practices, such as just‐in‐time (JIT), necessitates complementary changes in a firm's management accounting and control systems. This study uses a sample of JIT and non‐JIT plants operating in the Canadian automotive parts manufacturing industry to study the interaction among performance outcomes, intensity of JIT practices, and productivity measurement. This study provides evidence that productivity measurement mediates the relationship between performance outcomes and intensity of JIT practices. Specifically, both JIT and non‐JIT plants that use a broader range of productivity measures are more efficient and profitable than other plants. Also, plants that employ industry‐driven productivity measures are more profitable and efficient than plants that employ idiosyncratic productivity measures, especially if the former are more JIT‐intensive than the latter. Furthermore, plants that employ quality productivity measures are less efficient and less profitable than those that do not, especially if they use more intensive JIT practices. The latter result is consistent with JIT‐intensive plants overinvesting in quality. This study also finds that plants that invest more in buffer stock are less efficient and less profitable, especially if they use more intensive JIT practices. Despite the fact that plant profitability and efficiency are highly correlated, JIT‐intensive plants are more profitable but less efficient than plants that are not JIT‐intensive, after controlling for productivity measures, plant size, and buffer stock. This result suggests that despite wasting resources, JIT‐intensive plants are still able to generate relatively higher profits than plants that are not JIT‐intensive.