Lucy (ping) Zheng

@article{zheng_2584,

title = {Variations in the determinants of regional development disparities in rural China},

author = {Lucy (Ping) ZHENG and David Shepherd and Michael Batuo},

url = {https://www.sciencedirect.com/science/article/pii/S0743016719308393},

year  = {2021},

date = {2021-02-01},

journal = {Journal Of Rural Studies},

volume = {82},

pages = {29-36},

abstract = {The presence of persistent regional development disparities in rural China has become one of the most important concerns about the country's further sustainable development. As the key engine driving the rural economy, rural industrial development plays a dominant role in understanding rural regional development disparities. This study utilizes a provincial panel dataset to examine the determinants of industrial development in rural China over the period 1992-2014. The analysis compares rural output growth and export growth as indicators of rural industrial development, and identifies significant regional variations in the determinants of these indicators across the three main regions of the country. The results suggest that domestic capital investment is the most important cause of regional rural output growth disparities, while FDI is the main reason for rising regional disparities in export growth. A strong self-reinforcing effect in output growth is identified for the Eastern region, which has generated faster economic growth compared to the other regions. There exists a regional divergence in export growth, accelerating the regional export disparity between the three regions. Based on the findings of this study, we argue that, to reduce regional development disparities, the formulation of policies to promote national economic goals should take explicit account of the regional context in which those policies operate.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ding_2586,

title = {Determinants of the competitive advantage of dairy supply chains: Evidence from the Chinese dairy industry},

author = {H Ding and Y Fu and Lucy (Ping) ZHENG},

url = {https://www.sciencedirect.com/science/article/pii/S0925527318301026},

year  = {2019},

date = {2019-03-01},

journal = {International Journal Of Production Economics},

volume = {209},

pages = {360-373},

abstract = {In this study, we use an evidence-based approach to examine the factors that determine the competitive advantage of dairy supply chains using evidence from the Chinese dairy industry. We focus on the quality assurance of dairy products, which is considered one of the fundamental influential factors. We investigate interrelationships among the identified determinants, which include dairy production behavior, dairy cow culture model, government regulations, corporate social responsibility, and quality assurance, and examine how these determinants influence the competitive advantage of dairy supply chains. We employ the structural equation modeling approach in which grouped observable variables that represent the identified determinants are extrapolated from primary data collected through a questionnaire survey. Our key findings show that by mediating the effects of dairy production behavior and the dairy cow culture model, government regulation and corporate social responsibility significantly affect the quality assurance of dairy products. In turn, dairy production behavior and the dairy cow culture model significantly affect the competitive advantage of the dairy supply chain via the fully mediated effects of the quality assurance of dairy products. Specifically, the dairy cow culture model helps ensure the safety and quality of milk supply, allowing core dairy firms to control product quality throughout the dairy supply chain. Our empirical study shows that the identified determinants interact to assure the quality of dairy products and enhance the competitive advantage of the dairy supply chain in China.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zheng_2593,

title = {The variation in Indian inward FDI patterns},

author = {Lucy (Ping) ZHENG},

url = {https://link.springer.com/article/10.1007/s11575-013-0178-z#Abs1},

year  = {2013},

date = {2013-12-01},

journal = {Management International Review},

volume = {53},

pages = {819-839},

abstract = {This study examines the variation in Indian inward FDI patterns, considering the impact of economic development and geographic location on the variation from both FDI home and host country perspectives.



    Employing a panel dataset at the aggregate country-level, the study is conducted using the generalised least squares (GLS) model.



    The findings suggest that Indian FDI patterns vary over time in line with Indian economic and structural transformations. The patterns also differ between the home country groups in line with their economic development and geographic location relative to India. The desirable patterns of Indian inward FDI are determined not only the development levels of both host and home countries but also the host country's factor endowment pattern.



    It is important for the Indian government to formulate selective targeting FDI policies to maximise economic impact of inward FDI by attracting more desirable efficiency-seeking FDI for higher economic growth.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{buckley_2597,

title = {The impact of FDI on the productivity of China's automotive industry},

author = {P Buckley and J Clegg and Lucy (Ping) ZHENG and P Siler and Gianluigi Giorgioni},

url = {https://www.jstor.org/stable/40658231},

year  = {2007},

date = {2007-01-01},

journal = {Management International Review},

volume = {47},

number = {5},

pages = {707-724},

abstract = {This study contributes to the existing literature by empirically investigating the effect of FDI inflows on the aggregate labour productivity of China's automotive industry. A production function model is developed using a panel data set at sub-sector level. Two statistical models: pooled ordinary least squares model (POLS) and fixed effects model (FES) were used to estimate the influence of foreign direct investment on aggregate labour productivity in the industry. Inward FDI plays a positive role in increasing industrial productivity, implying that the government should continue to encourage inward investment. However the results also suggest that efforts to increase capital intensity and average firm size in the industry will also improve labour productivity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}