Chunzhou has a Masters degree in Economics from Jilin University (China) and is a PhD student (thesis submitted) in Economics from the University of New South Wales (UNSW). Chunzhou’s PhD thesis analyses the practice location and labour supply decisions of general practitioners in Australia. At CHERE Chunzhou is part of the Research Excellence in the Finance and Economics of Primary Health Care (REFinE-PHC).
Johar, M., Mu, C., van Gool, K. & Wong, C.Y. 2017, 'Bleeding hearts, profiteers, or both specialist physician fees in an unregulated market', Health Economics, vol. 26, no. 4, pp. 528-535.View/Download from: UTS OPUS or Publisher's site
This study shows that, in an unregulated fee-setting environment, specialist physicians practise price discrimination on the basis of
their patients' income status. Our results are consistent with profit maximisation behaviour by specialists. These findings are based
on a large population survey that is linked to administrative medical claims records. We find that, for an initial consultation, specialist
physicians charge their high-income patients AU$26 more than their low-income patients. While this gap equates to a
19% lower fees for the poorest patients (bottom 25% of the household income distribution), it is unlikely to remove the substantial
financial barriers they face in accessing specialist care. There are large variations across specialties, with neurologists exhibiting the
largest fee gap between the high-income and low-income patients. Several possible channels for deducing the patient's income are
examined. We find that patient characteristics such as age, health concession card status and private health insurance status are all
used by specialists as proxies for income status. These characteristics are particularly important to further practise price discrimination
among the low-income patients but are less relevant for the high-income patients. Copyright © 2016 John Wiley & Sons, Ltd.
Mu, C., De Abreu Lourenco, R., van Gool, K. & Hall, J. 2017, 'Is low priced primary care bad for quality? Evidence from Australian general practice', Applied Economics, vol. 50, no. 5, pp. 475-491.View/Download from: Publisher's site
The unbalanced distribution of general practitioners (GPs) across geographic areas has been acknowledged as a problem in many countries around the world. Quantitative information regarding GPs' location decision over their lifecycle is essential in developing effective initiatives to address the unbalanced distribution and retention of GPs. This paper describes the age profile of GPs' location decision and relates it to individual characteristics. I use the Medicine in Australia: Balancing Employment and Life (MABEL) survey of doctors (2008–2012) with a sample size of 5810 male and 5797 female GPs. I employ a mixed logit model to estimate GPs' location decision. The results suggest that younger GPs are more prepared to go to rural and remote areas but they tend to migrate back to urban areas as they age. Coming from a rural background increases the likelihood of choosing rural areas, but with heterogeneity: While male GPs from a rural background tend to stay in rural and remote areas regardless of age, female GPs from a rural background are willing to migrate to urban areas as they age. GPs who obtain basic medical degrees overseas are likely to move back to urban areas in the later stage of their careers. Completing a basic medical degree at an older age increases the likelihood of working outside major cities. I also examine factors influencing GPs' location transition patterns and the results further confirm the association of individual characteristics and GPs' location–age profile. The findings can help target GPs who are most likely to practise and remain in rural and remote areas, and tailor policy initiatives to address the undesirable distribution and movement of GPs according to the identified heterogeneous age profile of their location decisions.
Goodall, S., Kenny, P. & Mu, C. 2015, 'What influences the choice of General Practitioners? Evidence from a Discrete Choice Experiment in Australia and New Zealand', Primary Health Care Research Conference, Adelaide.
Goodall, S., Kenny, P. & Mu, C. 2015, 'What influences the choice of General Practitioners? Evidence from a Discrete Choice Experiment in Australia and New Zealand', iHEA 11th World Congress on Health Economics, Milan, July.
Mu, C. 2015, 'Identifying a population at risk of diabetes using 45 and UP and WA administrative data', 9th Health Services and Policy Research Conference (HSRAANZ), Health Services and Policy Research Conference (HSRAANZ), Melbourne.
Mu, C. 2013, 'The effect of government subsidies on General Practitioners' location decisions and labour supply', iHEA 9th World Congress on Health Economics, Sydney.
Mu, C. 2013, 'The effect of government subsidies on General Practitioners' location decisions and labour supply', Sydney.