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133 results on '"Zhou, Guangzhu"'

26. Shocks in agricultural productivity and CO2 emissions: new environmental challenges for China in the green economy

Author

Zhou, Guangzhu, Li, Hongping, Ozturk, Ilhan, Ullah, Sana, Zhou, Guangzhu, Li, Hongping, Ozturk, Ilhan, and Ullah, Sana

Abstract

The primary motive behind this research is to see the role of China’s large agriculture sector in promoting or demoting CO2 emissions. Therefore, we applied linear and non-linear ARDL models by collecting data over the period 1971–2019 for China. The results of the linear model suggest that livestock production can help to reduce CO2 emissions both in the short and long run. In the non-linear model, the short-run estimates of livestock production are insignificant, however, in the long run, the positive shock in the livestock production helps to reduce the CO2 emissions and the negative shock is insignificant. On the other side, an increase in crop production deteriorates the environmental quality in the short run in both linear and non-linear models. In long run, the estimate of crop production in the linear model is insignificant and in the non-linear model, the estimated coefficients of both positive and negative shocks in crop production are negative implying that a positive shock reduces the CO2 emissions while the negative shock increases the CO2 emissions.

Published
2022

30. Application of blockchain technology based on big data analysis in sustainable agriculture.

Author

Li, Hongping, Luo, Jun, and Zhou, Guangzhu

Abstract

To improve the effect of sustainable agricultural development, this paper reports on sustainable agricultural development with the support of big data technology, combines the Internet of Things technology to apply blockchain in sustainable agricultural development, and analyzes the economic effect model. Moreover, this paper proves that the introduction of third‐party logistics in the vendor‐managed inventory strategy can effectively reduce the total cost of the supply chain. Through model analysis and model transformation, the inventory transportation integration optimization problem model is decomposed into two sub‐models: the transportation scheduling model and the replenishment delivery model. In addition, this paper designs a new solution algorithm based on the genetic algorithm and builds an intelligent blockchain model. The experimental research shows that the blockchain technology based on big data analysis proposed in this paper has certain effects. Core Ideas: Introduction of third‐party logistics in the VMI strategy can effectively reduce the total cost of the supply chain.Through model analysis and model transformation, the inventory transportation integration optimization problem model is decomposed into two sub‐models.The two sub‐models are the transportation scheduling model and the replenishment delivery model. [ABSTRACT FROM AUTHOR]

Published
2023
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31. Shocks in agricultural productivity and CO2 emissions: new environmental challenges for China in the green economy.

Author

Zhou, Guangzhu, Li, Hongping, Ozturk, Ilhan, and Ullah, Sana

Subjects
AGRICULTURAL productivity, SUSTAINABLE development, ECONOMIC conditions in China, ENVIRONMENTAL quality, LIVESTOCK productivity, KUZNETS curve, PRODUCTION increases
Abstract

The primary motive behind this research is to see the role of China's large agriculture sector in promoting or demoting CO2 emissions. Therefore, we applied linear and non-linear ARDL models by collecting data over the period 1971–2019 for China. The results of the linear model suggest that livestock production can help to reduce CO2 emissions both in the short and long run. In the non-linear model, the short-run estimates of livestock production are insignificant, however, in the long run, the positive shock in the livestock production helps to reduce the CO2 emissions and the negative shock is insignificant. On the other side, an increase in crop production deteriorates the environmental quality in the short run in both linear and non-linear models. In long run, the estimate of crop production in the linear model is insignificant and in the non-linear model, the estimated coefficients of both positive and negative shocks in crop production are negative implying that a positive shock reduces the CO2 emissions while the negative shock increases the CO2 emissions. [ABSTRACT FROM AUTHOR]

Published
2022
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37. Shocks in agricultural productivity and CO2emissions: new environmental challenges for China in the green economy

Author

Zhou, Guangzhu, Li, Hongping, Ozturk, Ilhan, and Ullah, Sana

Abstract

AbstractThe primary motive behind this research is to see the role of China’s large agriculture sector in promoting or demoting CO2emissions. Therefore, we applied linear and non-linear ARDL models by collecting data over the period 1971–2019 for China. The results of the linear model suggest that livestock production can help to reduce CO2emissions both in the short and long run. In the non-linear model, the short-run estimates of livestock production are insignificant, however, in the long run, the positive shock in the livestock production helps to reduce the CO2emissions and the negative shock is insignificant. On the other side, an increase in crop production deteriorates the environmental quality in the short run in both linear and non-linear models. In long run, the estimate of crop production in the linear model is insignificant and in the non-linear model, the estimated coefficients of both positive and negative shocks in crop production are negative implying that a positive shock reduces the CO2emissions while the negative shock increases the CO2emissions.

Published
2022
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43. The present situation analysis and demand prediction of science and technology talents of Nanjing

Author

Liu Si-feng, Wang Ruilan, Zhou Guangzhu, and Bu Zhikun

Subjects
Engineering management, Operations research, Carry (investment), Social change, Economics, Situation analysis
Abstract

The article has conducted a detailed quantitative and structural analysis of the science and technology talents of Nanjing based on some relative data, meanwhile, by constructing model GM(1,1) we realize to predict the demand quantity of science and technology talents in the next five years needed by economic and social development of Nanjing and carry on a certain analysis correspondingly.

Published
2007
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