Industrialization and labour in Malaysia

Introduction The Impacts of Structural and Technological Change: An Overview by Eileen Appelbaum & Ronald Schettkat General Changes in the Structure of the Economies Structures of Postindustrial Society or Does Mass Unemployment Disappear in the Service and Information Economy? by Fritz W. Sharpf Differential Characteristics of Employment Growth in Service Industries by Eileen Appelbaum & Peter Albin Structural Change in the United States, Past and Prospective: Its Implication for Skill and Educational Requirements by Ronald E. Kutscher Structural Change, Information Technology, and Employment: The Case of France by Pascal Petit Structural Change in the Federal Republic of Germany: The Case of Services by Frank Stille Adjusting to Technological and Structural Change Institutions Regulating the Labor Market: Support or Impediments for Structural Change? by Gunther Schmid Flexibility in the Labor Market--Internal versus External Adjustment in International Comparison by Werner Sengenberger Manufacturing Products with Microelectronics: Sectoral Strengths and the Social Construction of Actors in Britain and Germany by Adrian Campbell, Arndt Sorge, and Malcom Warner Labor Market Adjustments to Structural Change in Sweden by Lena Gonas Adjustment Processes in the Economy: Labor Market Dynamics in the Federal Republic of Germany by Ronald Schettkat Bibliography Index

PurposeThe purpose of this paper is to measure the factors determining the productivity development in the Asia Pacific countries such as Malaysia, Indonesia, Singapore, Philippines, Thailand, China, Japan, Korea, India, Australia and New Zealand.Design/methodology/approachThe extensive growth theory that is expressed as the decomposition of the contribution of changes in employment, physical capital, foreign direct investment (FDI), human capital (HC), telecommunications investment and total factor productivity (TFP) growth on the selected Asia-Pacific countries’ output growth is used in this study. In this respect, an annual time series data over the period 1970-2012 for the aforementioned variables are employed.FindingsThe study found that the FDI spillover effects through the TFP are considered as productivity-driven economic growth in which the FDI spillover effects have significant effect on the productivity growth of the majority of these countries. It should be noted that most of these countries showed technological progress through the FDI spillover effects that is translated into a form of technology transfer and HC skills development.Originality/valueThis study empirically compared the FDI spillover effects on sustainable productivity growth of the most growing countries in the Asia Pacific region by using modified extensive growth theory that closed the gaps in the past studies and addressed the issues of technology transfer, HC development and sustainable productivity growth brought by the technical progress in these countries through the FDI spillover effects on productivity growth.

In 2004 the United Nations University World Institute for Development Economics Research (UNU-WIDER) embarked on a large-scale research project on the ‘Impact of Globalization on the World’s Poor’ co-directed by Machiko Nissanke and Erik Thorbecke. The first conference was essentially conceptual in nature, meant to understand better the various mechanisms and channels through which globalization affects the poor either directly or indirectly. The other three conferences focused on each of the major regions of the developing world: Asia, Africa and Latin America. Theobjectivesofthisintroductionarethreefold:first,toreviewbrieflyhow the forces of globalization influence poverty in general; second, to describe and discuss the main transmission channels and mechanisms; and third to analyze the impact of globalization on Africa and present an overview of the six Africa case studies included in this issue. 1. The Impact of Globalization on the World’s Poor Globalization provides a strong potential for a major reduction in poverty in the developing world because it creates an environment conducive to fastereconomicgrowthandtransmissionofknowledge. 1 However,structural factors and policies within the world economy and national economies have impeded the full transmission of the benefits of the various channels of globalization for poverty reduction. In particular sub-Saharan Africa (SSA) hasbeenrelativelylessaffectedbytheforcesofglobalizationthanotherparts of the world. World income distribution continues to be very unequal and many poor countries particularly in Africa are stagnating. Moreover, there is much empirical evidence that openness contributes to more within-country

This paper analyzes the effects of changes in relative commodity prices on the distribution of income among factors of production in the context of two models of a simple, two-good economy. In the first model capital is treated as a specific factor in each industry, with labor mobile between industries. The assumption of specificity determines the direction of factor income changes, with magnitudes depending on substitutability between factors and on intensities of factor use within the two industries. In the second model, capital is viewed as a quasi-fixed factor. For the short run, this model is identical to the model first considered. For the long run, this model is identical to the Stolper-Samuelson model in which the direction and magnitude of factor income changes depend solely on relative factor intensities. The difference between the short-run and long-run determinants of changes in factor incomes gives rise to a conflict between factor owners' short-run and long-run interests.

The economic, environmental and social sustainability of Dutch dairy farms have attracted increasing societal concern in the past decades. In this paper, we propose a recently developed dynamic Luenberger indicator based on the by-production model to measure dynamic productivity growth in the economic, environmental and social dimensions of sustainability of Dutch dairy farms. Subsequently, we investigate the statistical associations between productivity growth and socio-economic factors using the OLS bootstrap regression model. We find that dairy farms have suffered a decline in dynamic sustainable productivity growth, especially in the environmental dimension where it is more pronounced than in the economic and social dimensions. Furthermore, we find that both technical and scale inefficiency change contribute to the decline of environmental productivity growth. Specialization and government support are associated with a higher economic and environmental sustainability productivity growth, and with, a decreased growth of social sustainable productivity. We found no significant association between the age of the oldest entrepreneur, financial structure, farm size or cost of advisory service and dynamic productivity growth in the three sustainability dimensions. The results provide insights into potential pathways towards improving the three pillars of sustainability.

The Effects of Immigrants on African-American Earnings: A Jobs-Level Analysis of the New York City Labor Market, 1979-89

Growth of U.S. agriculture is dependent on increases in productivity, three-fourths of which is accounted for by public investment in agricultural research and development (R&D) and infrastructure, according to this research. Productivity growth in U.S. agriculture benefits consumers by putting downward pressure on real primary and processed food prices. Moreover, maintaining export growth in international markets relies on relative productivity growth against major competitors. Public investments in agricultural R&D have stagnated since the mid-1970’s, raising questions about sustained productivity growth in U.S. agriculture.

This dissertation is composed of three essays using labor search models to explore the role of referral-networks in the labor market. The first, "<b>The Stabilizing Effect of Referral-Networks on the Labor Market</b>," examines how the use of informal connections (i.e. referral-networks) affects the severity and duration of recessions. To do so, I develop a search-and-matching model in which there are two hiring methods, formal channels and informal channels, and workers endogenously adjust their network of informal contacts in response to shocks and government policy. I show referral-networks have a stabilizing effect on the labor market, reducing the severity of adverse economic shocks and accelerating post-recession recovery. Counterfactuals demonstrate the government must exercise caution when enacting policies intended to expedite economic recovery. Policies that generically improve worker-firm matching prolong recovery by 8 months, as they facilitate relatively more matches between workers and low-productivity firms during recessions. In contrast, policies aimed at reducing the costs of network-formation or increasing referral-network prevalence facilitate more matches between workers and high-productivity firms, expediting recovery by 3-6 months.<br> <br>The second chapter, "<b>The Impact of Referral-Networks on Sectoral Reallocation</b>," investigates a new explanation for the long-run decline in sectoral switching--the increased prevalence of referral-networks. Using data from the Current Population Survey (CPS), I first document empirically significant increase in the use of referral-networks in the job-search process by the unemployed. Moreover, this increase is concurrent with the decline in sectoral switching. The CPS is then used to estimate the effect of using referral-networks on the likelihood of an individual switching sectors at a various levels of industry classifications. For all aggregations, using referral-networks significantly reduces the probability a worker switches sectors. After controlling for demographics, these estimates imply an increase in the prevalence of referral-network use could explain as much as 5% to 40% of the decline in sectoral switching. <br><br>To better illustrate the policy implications of this finding, a discrete time sectoral-switching model is constructed using a search and matching framework with labor market referrals. The estimated model estimates a referral-switching elasticity of about -.12, which is within the empirically estimated range of -.05 to -.22 for the 2-sector industry aggregation, demonstrating that the increased of the prevalence of referrals overtime can explain about 20% of the decline in US sectoral switching. Welfare results indicate that referrals are a "benign'' cause of the decline, i.e. welfare declines upon effectively banning the use of referral-networks. These results have important implications for policymakers. They suggest that the cause of the decline in sectoral switching (and more generally job-changing) is the result of improved matching efficiency over time rather than market inefficiency. <br><br>The third chapter, "<b>Does Job-Finding Using Informal Connections Reduce Mismatch?</b>," presents evidence that nonpecuniary benefits of a job, such as hours, commute time, and work environment, are a salient factor in a worker's decision to either accept or reject the offer. Using data form the Survey of Consumer Expectations (SCE), I document three empirical facts on the use of referral-networks and mismatch. First, not all referrals reduce perceived mismatch as reported by workers. For high-skill workers, referrals from former coworkers tend to reduce perceived nonpecuniary-mismatch. For low-skill workers, referrals from friends and family tend to increase perceived non-pecuniary mismatch. <br><br>Given these empirical facts, I construct a search-and-matching model of the labor market similar to Buhrmann [2018a] where workers and firms are given types on a unit interval and suffer increasingly greater productivity losses depending on distance between the firm's type and the worker's type. I augment this baseline model with mismatch along two dimensions -- skill and nonpecuniary preferences-- and calibrate it to the US economy. Results show nonpecuniary preferences can generate more dispersion in skill-mismatch for very low-skill workers and very high-skill workers. Moreover, while referral-networks generally improve aggregate mismatch, they have a heterogeneous affect on nonpecuniary mismatch by type. For low-skill (high-skill) workers, referral-networks increase (decrease) nonpecuniary mismatch.<br><br>Overall, the results from this dissertation serve as a guide for policymakers. While government intervention may be deemed necessary in recessions, it is vital to understand the role specific matching channels serve in the economy in order for a policy to achieve the desired result. Understanding that referrals generate more high-productivity matches suggests policymakers should investigate policies aimed at improving network formation and functionality. Similarly, distinguishing between formal and informal methods of job finding are key to understanding recent labor market phenomenon. The second chapter shows informal channels have become more ubiquitous in order to facilitate matching. While this change creates patterns in the data that seem concerning, a closer investigation reveals this seems to be a result of the market simply adapting to be more efficient. Finally, understanding why people use formal and informal channels is vital to understanding worker-firm mismatch on a micro-level. While high-skill workers use informal channels to find better matches, low-skill seem to use them to find any match faster. In essence, the findings of this dissertation emphasize the need for policymakers to understand the nuanced behavior of job seekers and the differing goals of various job-finding methods. One cannot simply treat all job-finding as the same, especially if a particular method is widely used and leads to significantly different outcomes, and expect to implement efficient policy. Thus, it is important to understand how certain job-finding methods differ on a micro level and apply these finding to macro policy. <br>

As technology advances, the impact of automation and new tasks on the labor market and the national economy are debated topics in America. The American labor market is concerned that technological changes will lead to redundant labor (Acemoglu &amp; Restrepo 2018) because automation will replace low-skilled workers and increase unemployment. Nevertheless, creating new tasks where a human has an irreplaceable advantage over robots could benefit low-skilled workers in the long run, reducing unemployment (Acemoglu &amp; Restrepo 2018). Thus, this led this research to consider maintaining employment and productivity in a labor market that automation is gradually replacing. And this research will combine the relevant previous research to further explore the impact of technological change, especially new tasks, on low-skilled workers.

Gulf Cooperation Council (GCC) economies are investing heavily in digital infrastructure to diversify beyond hydrocarbons, yet the productivity returns from these investments remain uncertain. This study examines whether digital adoption enhances labor productivity in GCC economies (2000–2023). We construct a Composite Digital Index (CDI) from broadband subscriptions, internet use, and mobile penetration. Interpreting the Gulf economies as socio-technical systems, we frame digital adoption, productivity, and investment (measured by GCF) as a reinforcing loop, with government effectiveness amplifying the cycle and oil rents dampening it. Using panel data methods, including fixed-effects and long-run estimators, we find that digital adoption yields persistent productivity gains. In the long run, a one-point increase in CDI is associated with a 12.6 percentage point rise in labor productivity growth (p &lt; 0.05). This effect triples—to approximately 38.5 percentage points—when moderated by strong government effectiveness (CDI × Governance interaction: +26.3; p &lt; 0.01). Conversely, the productivity payoff declines significantly with oil-rent dependence: for every 10 percentage-point rise in oil rents, the marginal effect of digital adoption drops by 3.4 points. These gains are significantly larger where government effectiveness is stronger, while oil dependence weakens them. The findings imply that infrastructure adoption alone is insufficient: institutions and fiscal structures condition whether digital adoption translate into sustained productivity growth. Policy priorities should focus on institutional reform, fiscal diversification, and enabling firm-level digital absorption—particularly in high-rent economies—so that adoption translates into broad-based productivity dividends.

Economic modernisation in Russia will require rapid and sustained productivity growth. The available evidence suggests that a key ingredient of productivity growth is an increase in the intensity of economic competition. This article considers the role that Russia's accession to the World Trade Organization (WTO) might play in increasing competition in the Russian economy and, in turn, facilitating economic modernisation. It is argued that while WTO accession provides an opportunity to help those in favour of a competition-based model of economic modernisation in Russia, accession without any corresponding reform of the existing system of political economy in Russia will be unlikely to yield significant results.

Two debates over labor market structure have occurred in the U.S. since World War II: the structuralist/aggregate demand school debate in the early 1960s and the deindustrialization debate of the 1980s. In both controversies one side offers a structural explanation in which difficulties in the labor market derive from an overall transformation of the economy. The opposing view is that labor market trends cannot be explained by a structural transformation, since no such transformation has taken place. Despite heated policy debates and impressive data collection the essential point of disagreement in both debates remains unresolved: the existence of structural change in the labor market. This paper argues that two fundamental problems have hindered a satisfactory outcome to these recurring debates over structural change in the labor market. First, each side in the debate has a different concept of structure. If a consensus cannot be reached on what structural change in U.S. labor markets means, any debate over the existence and implications of this change is bound to be fruitless. With an imprecise or inconsistent definition of structure the question cannot be settled empirically. The second and more serious difficulty is that both sides use concepts of structure that have more to do with product markets than labor markets. The focus on product markets results from the fundamental assumption that labor demand is a derived demand. This assumption is axiomatic in neoclassical theory and exerts a powerful influence even on structuralist labor economists who reject much of the orthodox approach to labor. The first part of this paper looks at the consequences of this approach to structure. Despite the fact that the debates were sparked by high unemployment and other disturbing trends in the labor market, the debates address labor market structure only indirectly. The theoretical arguments underlying the assorted views reflect a paradigmatic dispute over the nature of economic growth. The second part of the paper discusses the concept of labor market structure and suggests an alternative approach. The paper then returns briefly to the debates over structure to demonstrate how this alternative approach would clarify this controversy. The Two Labor Market Debates The initial impetus to both debates was a secular rise in average unemployment rates. The structuralist/aggregate demand school controversy resulted from an increase in the average unemployment rate to 5.8% between 1958 and 1964 (Frumkin, 1987).(1) Killingsworth (1965) argued that the trend toward higher unemployment rates was due to a structural transformation of the labor market. The disproportionate incidence of high rates of unemployment in specific segments of the labor market led to the Killingsworth twist, a forerunner of the declining middle of the 1980s. Killingsworth's conclusions were based on the observation of lower unemployment rates among more highly skilled and educated workers. However, despite the use of statistics on labor supply to support his argument, Killingsworth was arguing that it was the structure of labor demand that was undergoing transformation. Killingsworth's structuralist arguments were countered by the Council of Economic Advisors (Bowen, 1965). The Council's contention was that although specific sub-groups of the labor force were affected differently over the business cycle, there had been no secular increase in the level of structural unemployment nor had there been significant increases in the unemployment rates of groups considered to be dominated by unskilled workers. The higher unemployment rates after 1957 were attributed to a deficiency of aggregate demand. During the 1980s unemployment reached its highest level since the Depression. Many manufacturing industries were particularly hard hit by the recessions of the early 1980s leading to widespread layoffs and plant closings. Economists such as Robert Reich (1983), Barry Bluestone and Bennett Harrison (1982) argued that high unemployment rates and the loss of manufacturing jobs reflected long-term structural changes in U. …

This chapter discusses the transformation of the economic growth model, particularly the demands that the upgrading of the industrial structure places on labor skills. The purpose of industrial upgrading is to increase labor productivity, particularly total factor productivity, so the direction of evolution reflects a higher demand for human capital of workers. The rising educational level of workers has been displayed in the human capital input variable in the economic growth process, becoming a positive contribution factor to rapid economic growth during reform and opening. The significant contribution of human capital to economic growth undoubtedly requires the development of education and the effective allocation of human capital as prerequisites. The first breakthrough was the rapid popularization of compulsory education after the introduction of the Compulsory Education Law . Human capital decides the degree to which households participate in the labor market and thereby enjoy the fruits of economic development. Keywords: China's sustainable growth; educational incentives; human capital; labor market

Labour markets in the EU have been profoundly changed. Recently, unemployment rates have declined due to the economic recovery. The economic growth that Europe has been enjoying is extremely labour-intensive. Statistical data show that unemployment has been falling for several consecutive years. Labour markets of the former Eastern European countries are attractive for investors for their skilled labour and low cost of labour. Nevertheless, there are processes and phenomena occurring which can have damaging consequences to the labour markets. The present study compares current trends in the Slovak and Lithuanian labour market. Since the existing analyses usually address economic situation in the V4 countries, Baltic countries or compare their performance with developed EU countries, the originality of the paper lies in comparing the selected economic indicators on the Slovak and Lithuanian labour markets. The purpose of the study is to analyse and compare selected macroeconomic indicators of individual countries, to find paradigms of development on the labour market and to predict development forecasts in individual macroeconomic indicators. The authors' research revealed that long-term sustainable growth in the labour market is secured in both countries, based on the analysis of the development of indicators affecting the labour market. A polynomial model and the moving average model are used for the analysis. The arrival of the new crisis could stop this growth, but the countries have learned from the last crisis. Therefore, they are gradually making decisions to alleviate the consequences.

Malaysia had approximately 2 million migrants in 2018, and this number was increasing dramatically by 25 percent in 2019. Parallels with the aims of country policy to reduce migrant workers&amp;#39; dependency in 2020, managing the workers needs to be clarified. At the same time, the country still needs to keep them for specific sectors. These issues motivate us to analyze the migrant worker&amp;#39;s requirements at different levels of skills and wages. Using Computable General Equilibrium (CGE) modeling, at four-level nested CES production function, this study found high skilled migrants will harm wages for the high skilled and skilled groups while the opposite effect was observed for the semiskilled and low-skilled groups. However, when the migrant stock increases slightly below 1 percent, it will reduce the wages for semiskilled workers due to substitution effects. This study also found that the influx of low-skilled migrant workers will reduce salaries for semiskilled and low-skilled workers. The analysis also indicates that a small rise in high skilled immigrant labour will reduce the unemployment rate; likewise, increasing more than 4 percent will increase the unemployment rate. The results provide the policymaker guidelines to employ foreign workers&amp;#39; best skills to control the inequality of wages among skilled and low-skilled workers.