Avian influenza, non‐tariff measures and the poultry exports of China

Zhou, Li; Li, Lingzhi; Lei, Lei

doi:10.1111/1467-8489.12285

Cited by 11 publications

(6 citation statements)

References 37 publications

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“…The model has been widely applied in the estimations and projections of aggregate trade. Several authors, for instances, Nanovsky (2019), Zhou et al (2019), Li, Sun and Long (2019), Shahriar, Qian and Kea (2019), Soeng and Cuyvers (2018), Narayan and Nguyen (2016), Atif et al (2017), Filippini and Molini (2003), Poncet (2006), Batra (2006); Zhou et al (2019); Mitra et al (2018), Gashi et al (2016); Hasiner and Yu (2018) and Ghazalian (2019) applied the model in their empirical works of international trade. The literature is, however, scant in the analysis of the Chinese OFDI along the BRI through an application of the gravity model.…”

Section: Methodsmentioning

confidence: 99%

Determinants of China’s outward foreign direct investment in the Belt & Road economies

Shahriar

Kea

2019

IJOEM

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Purpose The purpose of this paper is to investigate the major determinants of China’s outward foreign direct investment (OFDI) in the economies along the “Belt & Road” Initiative (BRI afterward). China works on to advance the agenda of the BRI both at home and abroad. The BRI is set up to promote connectivity in five key areas: policy coordination, infrastructure connectivity, trade facilitation, financial cooperation and people-to-people contacts. Design/methodology/approach The existing literature is inconclusive with regards to the motives, patterns and determinants of the Chinese OFDI. The authors are, therefore, motivated to undertake this study to shed some new light on the influencing factors of the Chinese OFDI. The authors have made a unique data set that consists of China and its 64 partnering countries of the BRI over a time period of 12 years spanning from 2004 to 2015. This time period is chosen on the chief consideration of data availability. The authors have a balanced panel, and applied the gravity model in line with the theoretical arguments and econometric developments. Findings The paper assumes that China’s OFDI along the BRI was a function of gross domestic product (GDP), income per capita, distance and WTO. The findings showed that GDP, per capita income and distance were the key determinants of the OFDI. China’s entry into the WTO did not strongly affect the OFDI. China maintained a tradition of historical relationships along the BRI economies. After all, China is relocating its investment resources in line with the consideration of its partnering countries’ economic size, cross-border distance and per capita income. Originality/value This study is the first of its kinds to analyze the determinants of OFDI by means of gravity model. The authors have covered all the countries along the BRI. Hence, this paper aims to make a substantial contribution to the literature, both from a scientific and a policy perspective.

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Section: Methodsmentioning

confidence: 99%

Determinants of China’s outward foreign direct investment in the Belt & Road economies

Shahriar

Kea

2019

IJOEM

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“…Third, the study would enrich the current literature on the commodity-specific gravity model of agricultural exports. Presently, there are some studies on the export determinants of product/agricultural commodities such as coffee (NSABIMANA & TIRKASO, 2019), rice (BUI & CHEN, 2015;KEA et al, 2019), coffee and rice (NGUYEN, 2020), soybeans (BOEREMA et al, 2016), wine (CASTILLO et al, 2016), poultry (ZHOU et al, 2019), meat (SHAHRIAR et al, 2019a, leather and textile (JORDAAN & EITA, 2012;RAHMAN et al, 2019), creative goods (DONG & TRUONG, 2019), and forest products (NASRULLAH et al, 2020). Lastly, this study provided new insights and allowed us to derive some policy implications about the development and sustainability of cocoa export in Nigeria.…”

Section: Abdullahi Et Almentioning

confidence: 99%

Nigeria’s cocoa exports: a gravity model approach

Abdullahi¹,

Shahriar

Kea

et al. 2021

Cienc. Rural

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What are the major factors affecting Nigeria’s cocoa export flows? In answering this question, the authors suggest a commodity-specific gravity model with three different analytical approaches, (the Heckman Sample Selection Model, the Generalised Least Square, and the Poisson Pseudo Maximum Likelihood), based on a period of 24 years of panel data for Nigeria and it’s 36 importing partners to estimate the models. The results showed that GDP, exchange rate policy, WTO, EU, and colonial link are positively associated with the Nigerian cocoa export flows. Further, the negative impact of the GDP per capita, landlocked, distance, AU, and ECOWAS are observed. The need for the expansion of exports to the trading partners, especially the EU members (Netherlands, Germany, France, United Kingdom, Belgium, Spain, etc.), Canada, Malaysia, and the USA is particularly highlighted. These results are important for the formulation of future trade policy that could boost up the Nigerian cocoa exports. This would eventually contribute to the diversification of the Nigerian exports and also enhance the country’s foreign earnings.

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“…China has been a major exporter of poultry products, the trade in which may spread domestic avian influenza virus to importing countries ( 34 ). Furthermore, there is a wide range and distribution of bird migrations within and in proximity to China, which possibly causes the spread of domestic avian influenza to neighbouring countries ( 6 ).…”

Section: Introductionmentioning

confidence: 99%

Regional distribution of non-human H7N9 avian influenza virus detections in China and construction of a predictive model

Huang

2021

Journal of Veterinary Research

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Introduction H7N9 avian influenza has broken out in Chinese poultry 10 times since 2013 and impacted the industry severely. Although the epidemic is currently under control, there is still a latent threat. Material and Methods Epidemiological surveillance data for non-human H7N9 avian influenza from April 2013 to April 2020 were used to analyse the regional distribution and spatial correlations of positivity rates in different months and years and before and after comprehensive immunisation. In addition, positivity rate monitoring data were disaggregated into a low-frequency and a high-frequency trend sequence by wavelet packet decomposition (WPD). The particle swarm optimisation algorithm was adopted to optimise the least squares support-vector machine (LS-SVM) model parameters to predict the low-frequency trend sequence, and the autoregressive integrated moving average (ARIMA) model was used to predict the high-frequency one. Ultimately, an LS-SVM-ARIMA combined model based on WPD was constructed. Results The virus positivity rate was the highest in late spring and early summer, and overall it fell significantly after comprehensive immunisation. Except for the year 2015 and the single month of December from 2013 to 2020, there was no significant spatiotemporal clustering in cumulative non-human H7N9 avian influenza virus detections. Compared with the ARIMA and LS-SVM models, the LS-SVM-ARIMA combined model based on WPD had the highest prediction accuracy. The mean absolute and root mean square errors were 2.4% and 2.0%, respectively. Conclusion Low error measures prove the validity of this new prediction method and the combined model could be used for inference of future H7N9 avian influenza virus cases. Live poultry markets should be closed in late spring and early summer, and comprehensive H7N9 immunisation continued.

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Avian influenza, non‐tariff measures and the poultry exports of China

Cited by 11 publications

References 37 publications

Determinants of China’s outward foreign direct investment in the Belt & Road economies

Determinants of China’s outward foreign direct investment in the Belt & Road economies

Nigeria’s cocoa exports: a gravity model approach

Regional distribution of non-human H7N9 avian influenza virus detections in China and construction of a predictive model

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