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Article
Publication date: 1 December 2021

Hui Zhai, Wei Xiong, Fujin Li, Jie Yang, Dongyan Su and Yongjun Zhang

The prediction of by-product gas is an important guarantee for the full utilization of resources. The purpose of this research is to predict gas consumption to provide a basis for…

161

Abstract

Purpose

The prediction of by-product gas is an important guarantee for the full utilization of resources. The purpose of this research is to predict gas consumption to provide a basis for gas dispatch and reduce the production cost of enterprises.

Design/methodology/approach

In this paper, a new method using the ensemble empirical mode decomposition (EEMD) and the back propagation neural network is proposed. Unfortunately, this method does not achieve the ideal prediction. Further, using the advantages of long short-term memory (LSTM) neural network for long-term dependence, a prediction method based on EEMD and LSTM is proposed. In this model, the gas consumption series is decomposed into several intrinsic mode functions and a residual term (r(t)) by EEMD. Second, each component is predicted by LSTM. The predicted values of all components are added together to get the final prediction result.

Findings

The results show that the root mean square error is reduced to 0.35%, the average absolute error is reduced to 1.852 and the R-squared is reached to 0.963.

Originality/value

A new gas consumption prediction method is proposed in this paper. The production data collected in the actual production process is non-linear, unstable and contains a lot of noise. But the EEMD method has the unique superiority in the analysis data aspect and may solve these questions well. The prediction of gas consumption is the result of long-term training and needs a lot of prior knowledge. Relying on LSTM can solve the problem of long-term dependence.

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Article
Publication date: 2 May 2017

Bo Xiong, Fujin Yi and Yaling Li

The purpose of this paper is to investigate the implications of the China’s rising meat demand and industrialization of the livestock sector for the vegetable oil market.

766

Abstract

Purpose

The purpose of this paper is to investigate the implications of the China’s rising meat demand and industrialization of the livestock sector for the vegetable oil market.

Design/methodology/approach

An equilibrium displacement model is constructed to analyze the interactions between meat consumption and vegetable oil market through the development of livestock sector modernization. Parameters derived from the 2006 to 2009 data are first used to produce the counterfactual growth rate of the non-soybean vegetable oil to validate the model. Then the authors use the second set of parameters derived from the 2010 to 2013 data to forecast the changes in the vegetable oil market in China.

Findings

Soybean oil, as a co-product of soybean processing, tends to crowd out other vegetable oils. In particular, the authors find that the market for non-soybean vegetable oils may shrink as long as the rapid industrialization pace above 10 percent within China’s livestock sector continues. Although their production takes up only 8.5 percent of all agricultural lands in China, oil crops remain as important cash crops for farmers contributing over 10 percent to the overall farm income in some provinces. The authors’ analysis suggests that stakeholders in these regions should closely monitor the structural changes within the livestock sector and consider the information for crop selection.

Originality/value

The authors’ analysis contributes to the literature on China’s meat demand by highlighting its implications for other agricultural markets involved in the food system.

Details

China Agricultural Economic Review, vol. 9 no. 2
Type: Research Article
ISSN: 1756-137X

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Article
Publication date: 16 December 2019

Xu Tian, Fujin Yi and Xiaohua Yu

The purpose of this paper is to investigate Chinese farmers’ adaptation behavior in the context of the rising cost of labor in agriculture. As the cost of labor increases, farmers…

604

Abstract

Purpose

The purpose of this paper is to investigate Chinese farmers’ adaptation behavior in the context of the rising cost of labor in agriculture. As the cost of labor increases, farmers will either reallocate their budget to different inputs or change the structure of agricultural production to maximize profit.

Design/methodology/approach

The Rural Fixed Point Observation data set between 2004 and 2010 is employed in the empirical analysis of this study. Both the compensated and uncompensated demand elasticities with respect to wages are estimated by adopting the translog cost function and the profit function.

Findings

The results show that labor input will drop down significantly as a response to rising wages. Land, fertilizer and intermediate inputs are net complements of labor, whereas machinery appears to be net substitute for labor. In addition, the authors also separate the expansion effect from the substitution effect and find that farmers will shift to grain production with intensive use of fertilizer and from wheat and corn to rice as a response to the rising cost of labor.

Originality/value

This study adopts the classical household model to incorporate various adaptation behaviors of farmers into one framework and decomposes the total effect of the rising cost of labor on input demand into an expansion effect and a substitution effect, which provides a better understanding of farmers’ adaptation behavior.

Details

China Agricultural Economic Review, vol. 12 no. 1
Type: Research Article
ISSN: 1756-137X

Keywords

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Article
Publication date: 3 April 2024

Xinyuan (Roy) Zhao, Fujin Wang, Anna S. Mattila, Aliana Man Wai Leong, Zhenzhen Cui and Huan Yang

Customer misbehavior has a negative impact on frontline employees. However, the underlying mechanisms from customer misbehavior to employees’ negative outcomes need to be further…

512

Abstract

Purpose

Customer misbehavior has a negative impact on frontline employees. However, the underlying mechanisms from customer misbehavior to employees’ negative outcomes need to be further unfolded and examined. This study aims to propose that employees’ affective rumination and problem-solving pondering could be the explanatory processes of customer misbehavior influencing employee attitudes in which coworker support could be a moderator.

Design/methodology/approach

A mixed-method approach was designed to test this study’s predictions. Study 1 conducted a scenario-based experiment among 215 full-time hospitality employees, and Study 2 used a two-wave, longitudinal survey of 305 participants.

Findings

The results demonstrate the impact of customer misbehavior on work–family conflict and withdrawal behaviors. The mediating role of affective rumination is supported and coworker support moderates the processes.

Practical implications

Customer misbehavior leads to negative outcomes among frontline employees both at work and family domains. Hotel managers should help frontline employees to cope with customer misbehavior by avoiding negative affective spillover and providing support properly.

Originality/value

The studies have unfolded the processes of affective rumination and problem-solving pondering through which customer misbehavior influences work–family conflict and withdrawal behaviors among frontline employees. The surprising findings that coworker support magnified the negative effects have also been discussed.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 12
Type: Research Article
ISSN: 0959-6119

Keywords

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Article
Publication date: 24 October 2022

Yang Ge, Yongbing Yang, Fujin Yi, Hao Hu and XiaoBai Xiong

The purpose of this study is to investigate the impacts of surface ozone pollution on rice profit, output and variable inputs in China.

187

Abstract

Purpose

The purpose of this study is to investigate the impacts of surface ozone pollution on rice profit, output and variable inputs in China.

Design/methodology/approach

This study estimates the rice profit function using county-level rice production data and ozone monitoring data in 2014 and 2015 to capture the impact of ozone pollution on rice profit. Then, it uses dual approach to identify the impacts of ozone on the supply of rice and the demand for variable inputs. The ozone concentration data are obtained from 1,412 monitoring stations established by the National Environmental Monitoring Centre of China.

Findings

The results show that surface ozone would significantly reduce rice profits; a 1% increase in (the daily average ozone concentration from 9 am to 4 pm) leads to a 0.1% decrease in profits. In addition, ozone has a negative impact on the levels of inputs and the supply of rice, and the elasticities of rice output, fertilizer input and labour input with respect to are −0.87, −0.86 and −0.78%, respectively. These results suggest that ozone pollution affects rice production via two channels: the direct damage on rice growth and the indirect negative impact of reducing variable inputs.

Originality/value

This study estimates the impacts of surface ozone pollution on rice profit and output, and quantifies its influence on variable inputs in China, which provides a better understanding of farmers' adaptation behaviour.

Details

China Agricultural Economic Review, vol. 15 no. 1
Type: Research Article
ISSN: 1756-137X

Keywords

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Article
Publication date: 25 October 2021

Chunwei Li, Quansheng Sun and Yancheng Liu

As the service time of bridges increases, the degradation of bending capacity, the lack of safety reserves and the decrease in bridge reliability are common in early built…

134

Abstract

Purpose

As the service time of bridges increases, the degradation of bending capacity, the lack of safety reserves and the decrease in bridge reliability are common in early built bridges. Due to the defective lateral hinge joints, hollow slab bridges are prone to cracking of hinge joint between plates, transverse connection failure and stress of single plates under the action of long-term overload and repeated load. These phenomena seriously affect the bending capacity of the hollow slab bridge. This paper aims to describe a new method of simply supported hollow slab bridge reinforcement called polyurethane–cement (PUC) composite flexural reinforcement.

Design/methodology/approach

This paper first studies the preparation and tensile and compressive properties of PUC composite materials. Then, relying on the actual bridge strengthening project, the 5 × 20 m prestressed concrete simply supported hollow slab was reinforced with PUC composites with a thickness of 3 cm within 18 m of the beam bottom. Finally, the load test was used to compare the performance of the bridge before and after the strengthening.

Findings

Results showed that PUC has high compressive and tensile strengths of 72 and 46 MPa. The static test revealed that the measured values and verification coefficients of the measured points were reduced compared with those before strengthening, the deflection and strain were reduced by more than 15%, the measured section stiffness was improved by approximately 20%. After the strengthening, the lateral connection of the bridge, the strength and rigidity of the structure and the structural integrity and safety reserves were all significantly improved. The application of PUC to the flexural strengthening of the bridge structure has a significant effect.

Originality/value

As a new type of material, PUC composite is light, remarkable and has good performance. When used in the bending strengthening of bridge structures, this material can improve the strength, rigidity, safety reserve and bending capacity of bridges, thus demonstrating its good engineering application prospect.

Details

International Journal of Structural Integrity, vol. 13 no. 1
Type: Research Article
ISSN: 1757-9864

Keywords

Available. Content available

Abstract

Details

China Agricultural Economic Review, vol. 10 no. 1
Type: Research Article
ISSN: 1756-137X

Available. Open Access. Open Access
Article
Publication date: 16 November 2023

Haotian Wu, Jiancheng Chen, Wanting Bai and Yiliang Fang

The aim of this article is to research on forestry green total factor productivity and explore the impact of financial support on forestry green total factor productivity.

548

Abstract

Purpose

The aim of this article is to research on forestry green total factor productivity and explore the impact of financial support on forestry green total factor productivity.

Design/methodology/approach

The methods used in this study are super efficiency SBM model of undesired output and empirical model. SBM model is a kind of Data Envelopment Analysis (DEA). The SBM model with non-expected outputs (slacks-based measure) can be used to deal with the problem of efficiency measurement with multiple input and output variables and can be used to analyze the efficiency of green development of forestry economy.

Findings

First, the overall green total factor productivity of the authors’ country's forestry has shown a trend of first decline and then an increase from 2008 to 2018, and there are significant spatiotemporal differences; second, financial support has a significant positive impact on forestry green total factor productivity; third, environmental regulation has a significant threshold effect in the process of financial support on forestry green total factor productivity, and the role of financial support shows a trend of first increasing and then decreasing.

Originality/value

Secondly, taking the data of 30 provinces and cities in the authors’ country from 2008 to 2018 as the research object, using the super-efficiency SBM-Malmquist index to measure the country's forestry green total factor productivity and analyze its temporal and spatial changes; finally, a dynamic panel model was established to explore the impact of financial support on forestry green total factors quantitative impact on productivity, and adding environmental regulation as a threshold variable to establish a dynamic threshold regression, and found that financial support has a nonlinear impact on forestry green total factor productivity.

Details

Forestry Economics Review, vol. 5 no. 2
Type: Research Article
ISSN: 2631-3030

Keywords

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