Research on the Impact of Rural Labour Forces Transfer on the Urban-rural Income Based on Economics of Discrimination

On the basis of the analytical frame of discrimination, the thesis establishes a model of transfer of rural labour forces into city, and researches the impact of rural labour forces transfer on urban-rural income. The results show that the transfer of rural labour forces into city can increase urban-rural income and bridge the income gap between city and village to a certain extent. However, the capital stock of city in China is greatly more than that of the village, so the rural labour forces transfer cannot eliminate the urban-rural income gap completely. In order to elevate the rural income level in China and narrow urban-rural income gap, the government should paint a picture with two brushes at the same time: on one hand, the government should promote the transfer of rural labour forces into city, and change the status quo of dual urban-rural labour forces market structure; on the other hand, the government should increase the input in rural areas and promote the increase of rural capital stock so as to further increase rural residents' income in the process of labour forces transfer.

Using state space models as a statistical impact measurement of survey redesigns: a case study of the labour force survey of the Australian Bureau of Statistics

The goals of any major business transformation programme in an official statistical agency often include improving data collection efficiency,data processing methodologies and data quality.However,the achievement of such improvements may have transitional statistical impacts that could be misinterpreted as real-world changes if they are not measured and handled appropriately.This paper describes a development work that sought to explore the design and analysis of a times-series experiment that measured the statistical impacts that sometimes occur during survey redesigns.The Labour Force Survey(LFS)of the Australian Bureau of Statistics(ABS)was used as a case study.In the present study:(1)A large-scale field experiment was designed and conducted that allowed the outgoing and the incoming surveys to run in parallel for some periods to measure the impacts of any changes to the survey process;and(2)The precision of the impact measurement was continuously improved while the new survey design was being implemented.The state space modelling(SSM)technique was adopted as the main approach,as it provides an efficient impact measurement.This approach enabled sampling error structure to be incorporated in the time-series intervention analysis.The approach was also able to be extended to take advantage of the availability of other related data sources(e.g.,the data obtained from the parallel data collection process)to improve the efficiency and accuracy of the impact measurement.As stated above,the LFS was used as a case study;however,the models and methods developed in this study could be extended to other surveys.

Bayesian network on labour dissonance:a social sector development challenge to India

India’s unorganized labour force contributes about one third of the total labour sector.The scenario is even worse in the Indian automotive industry which employs a little over 7%on a permanent basis.Problems get exaggerated due to the outdated labour laws,ironically established to support and protect workers.The disappointing areas in the labour contract act and labour laws have led to unfair wage practices and a hostile work environment,giving way to labour discord.This research paper discusses the key issues of labour dissonance in the Indian automobile industry using a Bayesian network analysis.Real-life casestudy examples from the Indian automobile industry were considered to identify the rationale behind labour unrest.Bayesian analysis of a set of 250 responses helped us to understand the associations among key attributes of labour dissatisfaction.