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This study empirically investigates the difference in employment status between marriage immigrants and native women in Taiwan based on a combined dataset from the 2003 Survey of Foreign and Mainland Spouses’ Life Status and 2003 Women’s Marriage, Fertility and Employment Survey. The conceptual framework is based on the family labor supply model, the human and social capital theories, and the immigrant assimilation theory. From the Probit model of the employment probability, our findings indicate that family background variables, including the presence of small children and husbands’ characteristics, play fairly significant roles in determining the employment probability of marriage immigrants. As for native women, human capital variables such as schooling and age are the most significant factors affecting their employment probability, while husbands’ characteristics play a less important role in this respect. The finding that the employment probability of foreign spouses rises rapidly with the number of years that have elapsed since migration may confirm the employment assimilation for marriage immigrants. This study further applies the nonlinear decomposition analysis developed in the work of Yun (2004) to examine the gap in employment probability between native women and foreign spouses in Taiwan. Our findings show that the employment probability differentials are mostly due to the difference in coefficients and that the effects of the two age variables play dominant roles. The difference in coefficients, in sum, contributes to increasing the gap of employment probability, while the difference in characteristics, in sum, tends to reduce the employment probability differentials.

The purpose of this paper is to investigate the gender wage disparity in paid employment and self-employment. To achieve this objective, the Cameroon Household Consumption Survey of 2007 is used. The main question considered in this paper is why women paid employment and self-employment wages are relatively low. In a whole, what are the underlying factors that generate and explain wage gap between men and women householders in employment?

First, the paper uses the Oaxaca-Blinder Decomposition to explain wage gap. Thereafter, the Quantile Regression Decomposition using Machado and Mata approach is applied in order to see the gap at different levels of the wage distribution.

The main finding indicates that in both methods, the wage gap is due to an unexplained component in self-employment and explained component in paid employment, particularly with strong effects at the extreme of wage distribution.

The topic of this paper helps to explain and analyse the functioning of the Cameroonian labour market.

The findings can be applied to narrow the gender wage gap by eliminating discrimination and approving the principle of equal opportunity, support policies that reduce obstacles preventing women from starting and developing their businesses to encourage more women to become entrepreneurs and achieve harmonisation between work and family life.

Using available data survey, this paper is the first to identify and decompose the causes of paid employment and self-employment gender wage gap in Cameroon.

The increase in self‐employment is probably one of the most important change that occurred on the Swiss labour market in the past 20 years. Using newly available census data from 1970 to 2000, seeks to investigate this evolution for the male labour force.

This research is based on census data from 1970 to 2000. Analysis is carried out by means of probability analysis (probit and logit model) and segregation analysis.

Finds that the evolution of the self‐employment rate is driven by changing factors of self‐employment as well as by a changing labour force. However, differences between self‐employed and wage‐workers have become smaller over time. This is especially relevant with respect to occupations. Regarding gender differences, the higher rate of self‐employed among men than among women is due to different factors rather than different characteristics of the labour force. Finally, investigates the structure of self‐employment in 2000. Finds that the distinction between various forms of self‐employment is quite relevant, a result that underlines the heterogeneity of the self‐employed.

Finds that the distinction between different forms of self‐employment (with or without employees) does matter. Thus any research on self‐employment should take into account the heterogeneity of this population.

Data cover exhaustively the Swiss labour force, which allows a thorough investigation of the role of various factors. There is no other data in Switzerland that allows the investigation of the evolution of labour‐market phenomena over such a long period. Also focuses on different forms of self‐employment, a distinction that has often been overlooked in the literature.

We analyze and assess new evidence on employment dynamics from a new data source – the National Establishment Time Series (NETS). The NETS offers advantages over existing data sources for studying employment dynamics, including tracking business establishment relocations that can contribute to job creation or destruction on a regional level. Our primary purpose in this paper is to assess the reliability of the NETS data along a number of dimensions, and we conclude that it is a reliable data source although not without limitations. We also illustrate the usefulness of the NETS data by reporting, for California, a full decomposition of employment change into its six constituent processes, including job creation and destruction stemming from business relocation, which has figured prominently in policy debates but on which there has been no systematic evidence.

This paper focuses on two issues, firstly the extent to which the employment position of the main ethnic minority groups in England and Wales changed between 1991 and 2001 and secondly, a detailed examination of employment rates amongst ethnic groups in 2001. Relative to Whites, the employment position of most ethnic minority groups improved over the period, especially for males. Some of this improvement was due to enhanced levels of observable characteristics. However, the employment gap between Whites and some ethnic minority groups remains extremely large. Educational qualifications, religion and local deprivation are found to be important influences on employment for many minority groups. We conclude by discussing the policy implications of these findings.

Tourism is a labor-intensive sector with extensive links to other industries and plays a vital role in creating employment. This study aims to propose a new framework to analyze the intrinsic structure of the employment effects of tourism-related sectors and their drivers.

This study uses input–output and structural decomposition analysis (IO-SDA) to quantify the employment effects of tourism-related sectors and their driving mechanisms based on China’s I-O tables of 2002, 2007, 2012 and 2017.

The results show a declining trend in the intensity of direct or indirect employment effects in tourism-related sectors, indicating a decreasing number of jobs directly or indirectly required to create a unit of tourism output. Among tourism-related sectors, catering has the highest intensity of indirect employment effects over the study period. Catering stimulates the indirect employment of agriculture, forestry, animal husbandry, fishery and food and tobacco manufacturing. The decomposition analysis reveals that final demand is the largest contributor to the increase in tourism employment, while technological progress shifts from an employment-creation effect in 2002–2012 to an employment-destruction effect in 2012–2017.

This study proposes a new analytical framework to investigate the structural proportional relationship between the direct and indirect employment effects of various tourism-related sectors and their dynamic changes. Doing so, it provides valuable references for policymakers to promote tourism employment.

旅游相关部门就业效应的驱动因素：以中国为例

摘要

旅游业是一个劳动密集型部门, 与其他国民经济部门有着广泛的联系, 这在创造就业方面发挥着重要作用。本研究旨在建立一个框架, 分析旅游相关部门就业效应的内在结构及其驱动因素。

本研究基于中国2002年、2007年、2012年和2017年的投入产出表, 引入投入产出和结构分解分析（IO-SDA）法量化了旅游相关行业的就业效应及其变化的驱动机制。

旅游相关部门的直接或间接就业强度呈下降趋势, 可见创造一个单位的旅游产出所需的直接或间接工作数量在减少。在旅游相关部门中, 餐饮部门在研究期内的间接就业效应强度最高, 主要带动了农、林、牧、渔业和食品及烟草制造业的间接就业。旅游就业效应变动的驱动因素中, 最终需求是旅游就业效应增加的最大贡献者, 技术效应从2002-2012年期间的就业创造效应转变为2012-2017年期间的就业破坏效应。

本研究建立了一个全新的分析框架, 可以揭示各个旅游相关部门的直接和间接就业效应之间的结构比例关系及其动态变化。对旅游就业效应的驱动因素分析可以为政策制定者提供针对性的建议, 以促进旅游就业。

Factores que impulsan los efectos del empleo en los sectores relacionados con el turismo: El caso de China continental

Resumen

El turismo es un sector intensivo en mano de obra con amplios vínculos con otras industrias y desempeña un papel vital en la creación de empleo. Este estudio propone un nuevo marco para analizar la estructura intrínseca de los efectos en el empleo de los sectores relacionados con el turismo y sus impulsores.

Este estudio utiliza el análisis de entrada-salida (input-output) y de descomposición estructural (structural decomposition) (IO-SDA) para cuantificar los efectos sobre el empleo en los sectores relacionados con el turismo y sus mecanismos impulsores, basándose en las tablas input-output de China de 2002, 2007, 2012 y 2017.

Los resultados muestran una tendencia a la baja en la intensidad de los efectos directos o indirectos del empleo en los sectores relacionados con el turismo, lo que indica un número cada vez menor de puestos de trabajo directos o indirectos necesarios para crear una unidad de producción turística. Entre los sectores relacionados con el turismo, la restauración tiene la mayor intensidad de efectos indirectos sobre el empleo durante el periodo de estudio. La restauración estimula el empleo indirecto de la agricultura, la silvicultura, la ganadería, la pesca y la fabricación de alimentos y tabaco. El análisis de descomposición revela que la demanda final es la que más contribuye al aumento del empleo turístico, mientras que el progreso tecnológico pasa de ser un efecto de creación de empleo en 2002-2012 a un efecto de destrucción de empleo en 2012-2017.

Este estudio propone un nuevo marco analítico para investigar la relación estructural proporcional entre los efectos directos e indirectos del empleo de varios sectores relacionados con el turismo y sus cambios dinámicos. De este modo, proporciona valiosas referencias para que los responsables políticos promuevan el empleo en el sector turístico.

This paper aims to analyse the observed “jobless growth” between 1993-1994 and 2011-2012 based on structural transformation to explain why the elasticity of employment generation to gross domestic product growth has declined during this period.

This paper uses the job generation and growth decomposition tool to quantify the effects of inter-sectoral mobility of workers, intra-sectoral productivity changes and demographic changes on per capita value added growth. Alternative scenarios are generated to simulate the effect of higher female labour participation rates.

Structural transformation in India between 1993-1994 and 2011-2012 was characterised by increasing labour productivity in most sectors, inter-sectoral mobility of workers and a decline in the employment rate. About 81 per cent of the increase in per capita value added was because of a rise in labour productivity; about 24 per cent was because of inter-sectoral shifts of labour; and about 9 per cent because of demographic changes. The decline in the employment rate had a negative effect of −14.20 per cent. The process of transformation was unconventional. First, labour productivity growth was the highest in the service sector and second, the bulk of the movement of labour was to the construction sector.

This paper focusses only on the quantitative dimensions of employment and offers no new explanations why female labour force participation declined.

This paper offers a new perspective on the debate of jobless growth focussing on structural transformation.