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Article
Publication date: 1 September 2017

Lirong Qiu

The problem of urban drainage has become more serious with the rapid development of urban construction. The idea of combining geographic information system (GIS) technology with…

108

Abstract

The problem of urban drainage has become more serious with the rapid development of urban construction. The idea of combining geographic information system (GIS) technology with flood control in solving the urban drainage problem has received increasing attention. The idea and process of GIS as the key technology in vertical planning were analyzed in this study based on the GIS technology characteristics. This paper presents the new idea of integrating flood control and drainage mode into vertical planning and the optimization method in vertical planning. Taking the vertical planning of the north shore of Xiaoqing River in Ji'nan as an example, the model of the present scenario and the corresponding terrain model of the different flood control drainage standards were established. The standard model of the flood control and drainage of Xiaoqing River was determined through comparison. The relationship between vertical planning, flood control, and drainage mode was analyzed and optimized on the basis of the practical engineering results. Improving the optimization measures can result in the good convergence of vertical planning and drainage content, which is conducive to the development of urban flood control.

Details

Open House International, vol. 42 no. 3
Type: Research Article
ISSN: 0168-2601

Keywords

Available. Open Access. Open Access
Article
Publication date: 7 June 2021

Tamoor Khan, Jiangtao Qiu, Ameen Banjar, Riad Alharbey, Ahmed Omar Alzahrani and Rashid Mehmood

The purpose of this paper is to assess the impacts on production of five fruit crops from 1961 to 2018 of energy use, CO2 emissions, farming areas and the labor force in China.

2128

Abstract

Purpose

The purpose of this paper is to assess the impacts on production of five fruit crops from 1961 to 2018 of energy use, CO2 emissions, farming areas and the labor force in China.

Design/methodology/approach

This analysis applied the autoregressive distributed lag-bound testing (ARDL) approach, Granger causality method and Johansen co-integration test to predict long-term co-integration and relation between variables. Four machine learning methods are used for prediction of the accuracy of climate effect on fruit production.

Findings

The Johansen test findings have shown that the fruit crop growth, energy use, CO2 emissions, harvested land and labor force have a long-term co-integration relation. The outcome of the long-term use of CO2 emission and rural population has a negative influence on fruit crops. The energy consumption, harvested area, total fruit yield and agriculture labor force have a positive influence on six fruit crops. The long-run relationships reveal that a 1% increase in rural population and CO2 will decrease fruit crop production by −0.59 and −1.97. The energy consumption, fruit harvested area, total fruit yield and agriculture labor force will increase fruit crop production by 0.17%, 1.52%, 1.80% and 4.33%, respectively. Furthermore, uni-directional causality is correlated with the growth of fruit crops and energy consumption. Also, the results indicate that the bi-directional causality impact varies from CO2 emissions to agricultural areas to fruit crops.

Originality/value

This study also fills the literature gap in implementing ARDL for agricultural fruits of China, used machine learning methods to examine the impact of climate change and to explore this important issue.

Details

International Journal of Climate Change Strategies and Management, vol. 13 no. 2
Type: Research Article
ISSN: 1756-8692

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Article
Publication date: 16 June 2023

Xin Feng, Xu Wang and Mengxia Qi

In the era of the digital economy, higher demands are placed on versatile talents, and the cultivation of students with innovative and entrepreneurial abilities has become an…

426

Abstract

Purpose

In the era of the digital economy, higher demands are placed on versatile talents, and the cultivation of students with innovative and entrepreneurial abilities has become an important issue for the further development of higher education, thus leading to extensive and in-depth research by many scholars. The study summarizes the characteristics and patterns of dual-innovation education at different stages of development, hoping to provide a systematic model for the development of dual-innovation education in China and make up for the shortcomings.

Design/methodology/approach

This paper uses Citespace software to visualize and analyze the relevant literature in CNKI and Web of Science databases from a bibliometric perspective, focusing on quantitative analysis in terms of article trends, topic clustering, keyword co-linear networks and topic time evolution, etc., to summarize and sort out the development of innovation and entrepreneurship education research at home and abroad.

Findings

The study found that the external characteristics of the literature published in the field of bi-innovation education in China and abroad are slightly different, mainly in that foreign publishers are more closely connected and have formed a more stable ecosystem. In terms of research hotspots, China is still in a critical period of reforming its curriculum and teaching model, and research on the integration of specialization and creative education is in full swing, while foreign countries focus more on the cultivation of students' entrepreneurial awareness and the enhancement of individual effectiveness. In terms of cutting-edge analysis, the main research directions in China are “creative education”, “new engineering”, “integration of industry and education” and “rural revitalization”.

Originality/value

Innovation and entrepreneurship education in China is still in its infancy, and most of the studies lack an overall overview and comparison of foreign studies. Based on the econometric analysis of domestic and foreign literature, this paper proposes a path for domestic innovation and entrepreneurship education reform that can make China's future education reform more effective.

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Article
Publication date: 3 December 2021

Miao Miao, Tariq Jalees, Syed Imran Zaman, Sherbaz Khan, Noor-ul-Ain Hanif and Muhammad Kashif Javed

This research study investigates the factors that influence e-customer satisfaction, e-trust, perceived value and consumers repurchase intention in the context of the B2C…

13323

Abstract

Purpose

This research study investigates the factors that influence e-customer satisfaction, e-trust, perceived value and consumers repurchase intention in the context of the B2C e-commerce segment. It investigates the mediation effect of e-customer satisfaction, e-trust and perceived value on repurchase intention. It also examines the moderating role of prior online experience.

Design/methodology/approach

Based on the adapted questionnaire, pre-recruited enumerators collected the data from five leading business universities of Karachi. They distributed 425 questionnaires and received 415 questionnaires. The study has used Partial Least Square-Structure Equation Modeling (PLS-SEM) technique for data analysis.

Findings

We have tested 20 hypotheses, of which our results do not support five, including two direct, two mediating. Our results support all the direct hypotheses except the following two: (1) delivery service affects e-satisfaction (2) customer services quality effect on trust. We did not find support for the following two mediating hypotheses (1) e-satisfaction mediates delivery services and repurchase intention, (2) service quality mediates customers' service quality and repurchase intention. Our results do not support one moderating relationship. Prior online experience moderates e-perceived value and repurchase intention.

Research limitations/implications

This research provides valuable information to the online retailers of B2C e-commerce, which can help them make strategies based on their consumers' behavior and encourage them to make repeat purchases from online retailing stores. It allows future researchers to replicate the model in cross-cultural studies in different product categories.

Originality/value

We have examined the moderating effect of prior online experience between (e-satisfaction, e-trust and perceived value) on the repurchase intention.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 34 no. 10
Type: Research Article
ISSN: 1355-5855

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