No / We document rich variation across observed firms’ characteristics, and the accompanying macroeconomic volatility, often related to political turmoil for Ukrainian manufacturing firms. We use a unique annual firm-level data for the period from 2001 to 2009 compiled from the Derzhkomstat. To understand the evolution of distributions we utilize functional principal component analysis while accounting for the effects associated with firms’ region, industry, trade status, and firm turnover. The overall improvements in firm productivity in Ukraine’s manufacturing in 2001–2009 vary substantially by industry, trade status and with firm turnover, while regional effects are less important.

Yes / ESRC funded project Powering Productivity (ES/S015124/1)

Yes / ESRC funded project Powering Productivity (ES/S015124/1)

Yes

Angie Leung Mei Yin. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 82-85). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgements --- p.iii / Table of Contents --- p.iv / List of Tables --- p.vi / List of Figures --- p.ix / Chapter 1. --- Introduction --- p.1 / Chapter 2. --- Methodology and Data --- p.7 / Chapter 2.1 --- Measurement Framework --- p.7 / Chapter 2.2 --- β- Convergence --- p.12 / Chapter 2.3 --- σ - Convergence --- p.18 / Chapter 2.4 --- Data Description --- p.19 / Chapter 3. --- Results --- p.20 / Chapter 3.1 --- Convergence Results among Asian Countries --- p.20 / Chapter 3.2 --- Convergence Results Using Average Labor Sharein All Countries --- p.25 / Chapter 3.3 --- Results under σ - Convergence --- p.27 / Chapter 4. --- Determinants for Average Productivity Growth Rate --- p.33 / Chapter 5. --- Conclusion --- p.37 / Tables --- p.38 / Figures --- p.54 / Appendix --- p.76 / References --- p.82

Este trabalho teve por finalidade estudar o comportamento da produtividade brasileira entre 2002-2015 e identificar a influência de alguns determinantes para o seu desempenho. Este enfoque é importante porque a produtividade é considerada elemento fundamental do crescimento econômico e neste trabalho, especificamente, seu desempenho foi estudado por meio das medidas de produtividade do trabalho e total dos fatores, desagregadas por grandes setores econômicos e regiões geográficas, de modo a constatar quais regiões e setores mais contribuíram para a produtividade agregada do país. Ademais, após analisado o desempenho da produtividade, foram realizadas as decomposições do crescimento para verificar como decorreu a contribuição da produtividade para o crescimento econômico, e também como se decompôs o crescimento da produtividade setorial e regional. Por fim, considerado o comportamento da produtividade do trabalho no período, foi analisado como alguns determinantes a influenciaram, categorizados em criação, transmissão e absorção de conhecimento; educação, saúde e dimensão social; infraestrutura física; eficiência no mercado (de produção, financeiro e de mercado de trabalho) e economias de aglomeração; e instituições e integração comercial. A análise foi realizada utilizando a metodologia de regressão quantílica com efeitos fixos para dados em painel para as 27 unidades federativas brasileiras. Dentre os principais resultados, verificou-se a estagnação da PTF agregada, apesar da contribuição positiva do setor agropecuário. As medidas de produtividade do trabalho apresentaram certa consonância com as estimativas de PTF, novamente com destaque para o setor agropecuário. As regiões que obtiveram melhor desempenho foram a Norte e Centro- Oeste. Os exercícios de decomposição de crescimento destacaram as contribuições positivas dos fatores capital, capital humano e PTF para o setor agropecuário, e a absorção de mão de obra para os setores industrial e de serviços. Também foi constatado que o desempenho da produtividade setorial no país decorreu principalmente de variações na produtividade intrassetorial, em razão das vantagens locacionais e competitivas regionais. Por fim, a respeito da análise dos determinantes, os resultados mostram que a produtividade é mais sensível às variáveis estruturais de crescimento econômico como desenvolvimento humano, educação e infraestrutura física. / This study aimed to study the behavior of Brazilian productivity between 2002-2015 and to identify the influence of some determinants on its performance. This approach is important because productivity is considered a key element of economic growth. Its performance was studied through measures of labor productivity and total factors productivity, disaggregated by economy sectors and geographic regions of the country. The study also aimed to verify which regions and sectors most contributed to the aggregate productivity performance. In addition, productivity performance was verified, growth decomposition was performed to verify how the contribution of productivity to economic growth occurred, as well as how the sectoral and regional productivity growth was broken down. Finally, considering the labor productivity evolution in the period, it was analyzed how some determinants influenced it, categorized in creation, transmission and absorption of knowledge; education, health and social dimension; physical infrastructure; market efficiency (production, financial and labor market) and agglomeration economies; and institutions and trade integration. The empirical analysis was performed using a quantile regression methodology with fixed effects for panel data for the 27 Brazilian federative units. Among the results, there was stagnation of the aggregated TFP, despite the positive contribution of the agricultural sector. Labor productivity measures were in accord with TFP estimates, with emphasis on the agricultural sector. The regions that obtained the best performance were the North and Midwest. The growth decomposition exercises highlighted the positive contributions of the capital, human capital and TFP factors to the agricultural sector and the absorption of labor by the industrial and services sectors. It was also verified that the performance of the sectoral productivity in the country was mainly due to variations in the intrassetorial productivity and due to the regional competitive and locational advantages. Finally, regarding the analysis of determinants, the results demonstrate that productivity is more sensitive to the structural variables of economic growth such as human development, education and physical infrastructure.

Tsang Heung Chun. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 101-105). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgment --- p.ii / List of Tables --- p.v / List of Illustrations --- p.vi / Chapter Chapter One --- Introduction --- p.1 / Chapter Section 1.1: --- Motivation and Issues --- p.1 / Chapter Section 1.2: --- Contributions --- p.2 / Chapter Chapter Two --- Literature Review --- p.6 / Chapter Section 2.1: --- Introduction --- p.6 / Chapter Section 2.2: --- A Review of the Literature on Regional Inequality in China --- p.6 / Chapter Section 2.3: --- A Review of the Literature on Chinese Economic Growth --- p.7 / Chapter Section 2.4: --- A Review of the Literature on Labour Quality Indices --- p.9 / Chapter Section 2.5: --- Conclusion --- p.11 / Chapter Chapter Three --- Theoretical Framework --- p.13 / Chapter Section 3.1: --- Introduction --- p.13 / Chapter Section 3.2: --- Growth Accounting --- p.13 / Chapter Section 3.3: --- Inequality Decomposition --- p.17 / Chapter Section 3.4: --- Conclusion --- p.24 / Chapter Chapter Four --- Estimation Issues --- p.25 / Chapter Section 4.1: --- Introduction --- p.25 / Chapter Section 4.2: --- Model Specification --- p.25 / Chapter Section 4.3: --- Estimation Methods and Strategy --- p.32 / Chapter Section 4.4: --- Conclusion --- p.38 / Chapter Chapter Five --- Quality of Labor: A Detour --- p.39 / Chapter Section 5.1: --- Introduction --- p.39 / Chapter Section 5.2: --- Methodology for Calculating the Labour Quality Indices --- p.39 / Chapter Section 5.3: --- Empirical Results of Labour Quality Indices --- p.43 / Chapter Section 5.4: --- Conclusion --- p.45 / Chapter Chapter Six --- Estimation of Provincial Production Functions: A Prelude To The Decomposition Exercise --- p.47 / Chapter Section 6.1 --- Introduction --- p.47 / Chapter Section 6.2: --- Estimation Results --- p.47 / Chapter Section 6.3: --- Sources of Provincial Growth --- p.49 / Chapter Section 6.4: --- Conclusion --- p.55 / Chapter Chapter Seven --- Decomposition of Inter-Provincial Inequality: Empirical Results --- p.56 / Chapter Section 7.1: --- Introduction --- p.56 / Chapter Section 7.2: --- Inter-provincial Inequality: The Trend --- p.56 / Chapter Section 7.3: --- Empirical Results of the Decomposition Exercise --- p.58 / Chapter Section 7.4: --- Conclusion --- p.67 / Chapter Chapter Eight --- Conclusion --- p.68 / Appendix Data Description --- p.73 / Tables --- p.78 / Illustrations --- p.89 / References --- p.101

As a growing developing economy, China impressed the world by its astonishing growth rate and fast structural transformation. Mean-while, the openness also increased a lot after China adopted the reform and opening up policy in 1978. This paper first constructs real GDP, capital and labor series in China from 1952 to 2012 following instructions by some scholars, and then uses the simple growth accounting method to show that the agricultural productivity growth plays an important role in structural transformation: higher agricultural productivity growth accompanies with further structural transformation, or, lower agricultural employment share. And the role does not change much when the openness of China becomes higher, inconsistent from the outcome of Matsuyama (1992) at a first glance. / 作為一個在成長的發展中國家，中國驚人的增長率和快速的結構轉型給世界留下了深刻的印象。同時，在中國1978 年實行改革開放的政策後，中國的開放程度也大大增加。本文根據一些學者提供的思路構建了中國1952 至2012 年的實際GDP、勞動力及資本的時間序列，然後用簡單增長核算方法展示了農業的生產率增長在結構轉型方面的重要角色：更高的農業相對生產率增長會伴隨更深的結構轉型。當中國的開放程度變高時，這種角色沒有太多改變。初步地看，這和Matsuyama (1992)文中的描述並不一致。 / Chen, Xilu. / Thesis M.Phil. Chinese University of Hong Kong 2015. / Includes bibliographical references (leaves 83-87). / Abstracts also in Chinese. / Title from PDF title page (viewed on 11, October, 2016). / Detailed summary in vernacular field only.

The Productivity Measurement and Enhancement System (ProMES) is a human resource intervention that provides feedback to members of an organizational unit via a measurement system constructed by the unit personnel. The unit constructs the system by defining their objectives, identifying productivity indicators for each objective, and developing utility curves or contingencies for each indicator, specifying the overall and relative value to the organization of different performance levels on each indicator. Over the years, it has produced very positive results upon implementation. However, there has been great variability in the effectiveness of ProMES. This study attempted to identify the factors that contributed to this variability. Three major factors were proposed to influence the success of the intervention: feedback quality, the degree to which units prioritized their actions on the feedback, and the organizational social context. Additionally, the individual effects of the components of the organizational social context factor were analyzed; these components included the degree of employee participation in the intervention, unit attitudes towards productivity improvement, organizational support for the intervention, and organizational stability. Three productivity indices were used as dependent variables: the unit d-score (the difference between feedback productivity and baseline productivity divided by the pooled standard deviation), the rate of productivity change over the first third of the feedback stage, and the degree to which units were able to sustain prior productivity improvements over the last two thirds of the feedback stage. The degree of match with the original ProMES methodology was proposed as a moderator in the relationship between the three major factors and the criteria, and the degree of feedback interpretation training given to the unit was proposed as a moderator between the units? action on feedback and the criteria. Drawing on a database of 74 units from different industries and countries, scales were constructed to operationalize the factors. Results from multiple regression analyses indicated that favorable attitudes towards productivity improvement were associated with faster productivity improvements. Additionally, feedback quality and the action taken on feedback significantly predicted greater and faster productivity improvements. The implications for human resource professionals and researchers in industrial/organizational psychology are discussed.

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