Zhongkun Zhu

Dr. Zhongkun Zhu

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 January 2020 in Applied Economics
Verified
Journal Article
Closed access
CLChenxin Leng
Chenxin Leng
WMWanglin Ma
Wanglin Ma
JTJianjun Tang
Jianjun Tang
ZZZhongkun Zhu
Zhongkun Zhu
Although the determinants of income diversification have been widely examined in the literature, little is known about whether and how information and communication technology (ICT) adoption affects household income diversification. To fill in this gap, this paper examines the impact of ICT adoption on income diversification among rural households in China, utilizing open-access data collected through the China Labour-force Dynamics Survey project. We employ a two-stage treatment effects model to address the potential selection bias issue associated with ICT adoption. The empirical results show that ICT adoption exerts a positive and statistically significant impact on income diversification. Further analyses reveal that ICT adoption is more beneficial to low-income rural households and those residing in eastern and central parts of China when it plays a role in diversifying rural income. Our findings suggest that improving rural education and infrastructure such as roads and broadband facilities can help enhance ICT adoption among rural households, which subsequently increases income diversification.

1 August 2020 in China Economic Review
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Journal Article
Closed access
ZZZhongkun Zhu
Zhongkun Zhu
WMWanglin Ma
Wanglin Ma
ASAlfonso Sousa-Poza
Alfonso Sousa-Poza
CLChenxin Leng
Chenxin Leng

25 January 2021 in Applied Economics Letters
Verified
Journal Article
Closed access
WMWanglin Ma
Wanglin Ma
ZZZhongkun Zhu
Zhongkun Zhu
XZXiaoshi Zhou
Xiaoshi Zhou
This study examines the impacts of the adoption of three mechanized farming strategies (no-mechanized, semi-mechanized, and full-mechanized farming) on cropland abandonment, using the 2016 China Labour-force Dynamics Survey data. An innovative multivalued treatment effects model is employed to address sample selection bias. The results show that relative to no-mechanized farming, the adoption of semi-mechanized farming increases the probability of cropland abandonment. However, relative to either no or semi-mechanized farming, the adoption of full-mechanized farming significantly decreases the likelihood of cropland abandonment. Thus, farmers’ decisions of cropland abandonment depend on whether mechanization can partially or fully substitute farm labour. Our findings suggest that promoting agricultural mechanization via scale and topography-appropriate farm machines and enhancing land transfer for consolidation can help alleviate cropland abandonment.

26 April 2020 in Applied Research in Quality of Life
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Journal Article
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PDF file
ZZZhongkun Zhu
Zhongkun Zhu
WMWanglin Ma
Wanglin Ma
CLChenxin Leng
Chenxin Leng
Peng NiePeng Nie
Peng Nie

2 July 2020 in Journal of Agricultural Economics
Verified
Journal Article
Closed access
PDF file
WMWanglin Ma
Wanglin Ma
ZZZhongkun Zhu
Zhongkun Zhu

24 October 2020 in Applied Research in Quality of Life
Verified
Journal Article
Closed access
PDF file
ZZZhongkun Zhu
Zhongkun Zhu
WMWanglin Ma
Wanglin Ma
CLChenxin Leng
Chenxin Leng