2022
DOI: 10.1007/s10663-022-09546-9
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Trading Kuznets curve: empirical analysis for China

Abstract: Due to inspiring growth over the past 20 years, the dynamics of Chinese exports have been the focus of many researchers. In contrast to current literature, this study examines the quadratic relationship between China’s real exports to 154 partner countries and the income of trading partners from 1996 to 2019. The findings obtained from the second generational econometric analysis confirm cross-section dependence and heterogeneous slope among panel members. Second, while the GDP per capita of partner countries … Show more

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Cited by 8 publications
(6 citation statements)
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References 93 publications
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“…This is because as the income of individuals increases, they tend to increase their demand for the consumption of domestic goods, which influences trade. The result is in line with the study by Yasar, et al (2022) whose findings show that GDP per capita of partner countries has a positive impact on China's trade. Also, a rise in population has a potential influence on domestic trade in Nigeria.…”
Section: Ardl Long-run Estimatessupporting
confidence: 90%
See 1 more Smart Citation
“…This is because as the income of individuals increases, they tend to increase their demand for the consumption of domestic goods, which influences trade. The result is in line with the study by Yasar, et al (2022) whose findings show that GDP per capita of partner countries has a positive impact on China's trade. Also, a rise in population has a potential influence on domestic trade in Nigeria.…”
Section: Ardl Long-run Estimatessupporting
confidence: 90%
“…To estimate the determinants of domestic trade performance in Nigeria, the study collates quarterly data on Nigeria's domestic trade, internet subscription, per capita income, trade liberalisation proxied by export minus import, an exchange rate (USD) and population from the National Bureau of Statistics (NBS) database. The choice of the variables was based on variables used from other empirical studies (Nuroglu, 2010, Alhanom, 2016, Yasar, Akalin, Erdogan & Sarkodie 2022and Mbogela 2019 The data range and observations were limited to 2012Q3 to 2022Q3 because of available data on internet subscriptions in the country. The data was further converted to their growth rate before further analyses were carried out.The descriptive statistics for the set of variables are presented in Table 1, where: GTRADE denotes the growth rate of domestic trade; GISUB denotes the growth rate of internet subscription; GPCI denotes the growth rate of per capita income; GTLIB denotes the growth rate of trade liberalisation; GEXR denotes the growth rate of exchange rate; and GPOP represents the growth rate of population.…”
Section: Model Specification and Datamentioning
confidence: 99%
“…Referring to the practice of Bai and Yang [1], the agricultural sector is defined as the primary industry and the nonagricultural sector is defined as the secondary and tertiary industries, and the quantitative evaluation model of factor allocation efficiency between the dual-economy sectors constructed in this paper is used to calculate the factor allocation efficiency level between the dual-economy sectors in various provinces in China. Among these, the sectoral added value, capital stock, and labor force data required in the calculation process were mainly from the China Statistical Yearbook, provincial statistical yearbooks, and the Wind database.…”
Section: Data Processing and Description Of Sourcesmentioning
confidence: 99%
“…1 central document put the issues relating to agriculture, rural areas, and farmers in the first place, indicating that the problem of unbalanced and insufficient urban and rural development caused by China's dual-economy structure is still serious and the road to rural revitalization is still heavy and long. Since the reform and opening up in 1978, China's dual-economic problem has existed for a long time, and the unbalanced development between rural and urban areas has always troubled China's economic development [1]. The long-term existence of the urban-rural dual-economy structure has led to a serious surplus of rural and agricultural labor in China, but insufficient capital investment; urban and secondary and tertiary industries are abundant in capital factor, but labor shortages are increasing, resulting in a serious factor misallocation between China's agricultural and nonagricultural sectors [2].…”
Section: Introductionmentioning
confidence: 99%
“…Since then, dozens of studies have been published by adopting the EKC background . However, some researchers have outlined that the use of quadratic models may cause biased estimations (Narayan & Narayan, 2010;Yasar et al, 2022).…”
Section: Literature Reviewmentioning
confidence: 99%