scholarly journals Analysison the Willingness and InfluencingFactors of the Villagers to Market the Rural Collective Construction Land in Nanhai District of Guangdong Province under the Background of Transformation and Upgrading of Manufacturing Industry

CONVERTER ◽  
2021 ◽  
pp. 60-69
Author(s):  
Cairong Wu, Feng Luo
Keyword(s):  
Manufacturing Industry ◽  
Agricultural Land ◽  
Guangdong Province ◽  
Education Level ◽  
Descriptive Statistics ◽  
Net Income ◽  
Key Factors ◽  
Construction Land ◽  
Market Effect ◽  
Collective Construction

By analyzing the cognition and willingness of the villagers in Nanhai district (a big manufacturing city) of guangdong province to the marketing of the rural collective operating construction land, this paper finds out the key factors of the villagers' response to the marketing of the rural collective operating construction land, and puts forward some suggestions on how to promote the villagers' response to the marketing of the rural collective operating construction land. This paper takes villagers from 7 towns in Nanhai District of Guangdong Province as the investigation objects, and effectively gets questionnaires from 596 villagers by means of random investigation. The research methods of descriptive statistics and Logistic regression model are specifically used.The villagers in Nanhai District of Guangdong Province have a strong willingness to market the rural collective operating construction land, among which 63.42% of the surveyed villagers agree to market the rural collective operating construction land, but 36.58% of the surveyed villagers still have a weak willingness. There are five key factors that affect villagers' willingness to market rural collective operating construction land: villagers' education level, agricultural dependence, annual household net income, expectation of market effect and view of market risk of agricultural land.In order to improve the willingness of the villagers in Nanhai District of Guangdong Province to enter the market of the rural collective operating construction land, the following four measures can be taken to realize it: First, to improve the villagers' education level; Second, reduce the villagers' dependence on agriculture and increase the annual net income of the villagers' families. Thirdly, the demonstration effect of entering the market should be effectively done to improve the villagers' expectation of the effect of entering the market. Fourthly, the education of popularizing the knowledge of entering the market should be strengthened to guide the villagers to correctly understand the institutional nature of entering the market of agricultural land so as to reduce the risk of entering the market of agricultural land.

scholarly journals Using a Novel Grey DANP Model to Identify Interactions between Manufacturing and Logistics Industries in China

2018 ◽  
Vol 10 (10) ◽  
pp. 3456 ◽  
Author(s):  
Peng Jiang ◽  
Yi-Chung Hu ◽  
Ghi-Feng Yen ◽  
Hang Jiang ◽  
Yu-Jing Chiu
Keyword(s):  
Manufacturing Industry ◽  
Multiple Criteria Decision Making ◽  
Value Added ◽  
Manufacturing Industries ◽  
Direct Influence ◽  
Key Factors ◽  
Logistics Industry ◽  
Influence Matrix ◽  
Factors Affecting ◽  
Two Factors

As a crucial part of producer services, the logistics industry is highly dependent on the manufacturing industry. In general, the interactive development of the logistics and manufacturing industries is essential. Due to the existence of a certain degree of interdependence between any two factors, interaction between the two industries has produced a basis for measurement; identifying the key factors affecting the interaction between the manufacturing and logistics industries is a kind of decision problem in the field of multiple criteria decision making (MCDM). A hybrid MCDM method, DEMATEL-based ANP (DANP) is appropriate to solve this problem. However, DANP uses a direct influence matrix, which involves pairwise comparisons that may be more or less influenced by the respondents. Therefore, we propose a decision model, Grey DANP, which can automatically generate the direct influence matrix. Statistical data for the logistics and manufacturing industries in the China Statistical Yearbook (2006–2015) were used to identify the key factors for interaction between these two industries. The results showed that the key logistics criteria for interaction development are the total number of employees in the transport business, the volume of goods, and the total length of routes. The key manufacturing criteria for interaction development are the gross domestic product and the value added. Therefore, stakeholders should increase the number of employees in the transport industry and freight volumes. Also, the investment in infrastructure should be increased.

scholarly journals Degraded lateritic soils cape and land uses in Birbhum district, West Bengal, India

2011 ◽  
Vol 23 (3) ◽  
pp. 545-558 ◽  
Author(s):  
V. C. Jha ◽  
S. Kapat
Keyword(s):  
Agricultural Land ◽  
West Bengal ◽  
Lateritic Soil ◽  
Landscape Conservation ◽  
Land Uses ◽  
Key Factors ◽  
Birbhum District ◽  
Conservation Actions ◽  
Physical And Chemical ◽  
Radical Conversion

Degradation of lateritic environment as found in the south western and eastern Birbhum district can be considered as irresistible. Inherently poor physical and chemical status of existing lateritic soil profile and radical conversion of land uses as observed at cadastral level are the key factors of land degradation. Lateritic soilscapes are mostly affected by water erosion induced, vegetal and anthropogenic degradation attaining severe and very severe degradation status. Degraded lands in sample mouzas like Ballabhpur, Shyambati, Chawpahari Jungle, Bodakuri and Pachami account for 60.33%, 71.42%, 72.99%, 87.31% and 79.66% respectively out of their total lateritic exposures. In other words about 36.98%, 71.42%, 61.73%, 56.70% and 76.02% out of their total village areas and mostly non agricultural land use are affected by it. Four degraded villages get the higher priority for friendly landscape conservation actions.

scholarly journals Analysis and Selection of Marine Engineering Equipment Manufacturing Industry Developing Strategy Based on Diamond Model - Take Guangdong Province as an Example

2017 ◽  
Vol 9 (4) ◽  
pp. 51
Author(s):  
Hongyan Liao ◽  
Xiaoqi Chen ◽  
Zilu Huang ◽  
Hanmin Qiao
Keyword(s):  
Manufacturing Industry ◽  
Rapid Development ◽  
Guangdong Province ◽  
Marine Resources ◽  
Shipbuilding Industry ◽  
Engineering Equipment ◽  
Diamond Model ◽  
Equipment Manufacturing ◽  
Equipment Manufacturing Industry ◽  
Marine Engineering

With the over-exploitation of global resources and the increasing cost of developing land resources, marine resources have become the new choice for coastal countries to address resource problems. The development and utilization of marine resources encourages the growing of marine engineering equipment manufacturing industry. In this paper, we take Guangdong Province as the studied area, which has a natural advantage for the development of shipping and marine equipment industry, applying the mainstream industry competitive advantage theory – “diamond model” to build evaluation index system. And we calculate combining weights by AHP and variation coefficient method, as well as giving a comprehensive evaluation from the perspective of quantitative analysis for development of marine engineering equipment manufacturing industry in Guangdong Province. The results show that although Guangdong marine engineering equipment manufacturing industry achieves rapid development in recent years, the total scale amount of industry is small, shipbuilding industry development is slow, and professional technical personnel is inadequate. For these problems, this paper provides some suggestions for marine equipment manufacturing industry in Guangdong Province.

scholarly journals Measuring Values Importance of Saudi Consumers

2016 ◽  
Vol 8 (6) ◽  
pp. 115
Author(s):  
Saeed Badghish
Keyword(s):  
Saudi Arabia ◽  
Regression Analysis ◽  
Quantitative Study ◽  
Hospitality Industry ◽  
Online Survey ◽  
Education Level ◽  
Descriptive Statistics ◽  
Review Of The Literature ◽  
Demographic Differences ◽  
Demographic Profiles

<p>This study examines the priority of values affecting the behaviour of local consumers in the Saudi Arabian hospitality industry. The sample consists of Saudi nationals who have stayed in a hotel in Saudi Arabia. A review of the literature provides studies of values and demographic factors that could lead to differences in behaviour between gender (male vs female) and education (educated vs less-educated). There is currently little understanding of whether, or how, Saudis from different socio-cultural environments, represented in this study with different demographic profiles, differ in their values. This study considers whether there are any such differences linked to these demographic differences. The research uses a quantitative online survey based on established constructs of Kahle’s List of Values. Data were analysed in SPSS using descriptive statistics, independent samples <em>t</em>-tests, and regression analysis. This quantitative study finds that there are significant differences in the value of excitement, warm relationships with others, and fun and enjoyment were noted according to education level; also the value of self-fulfillment according to gender.</p>

scholarly journals A detailed survey of just-in-time implementation status within Libyan cement industry, and its implication for operations management

2019 ◽  
Vol 10 (3) ◽  
pp. 1081
Author(s):  
Rajab Abduallah Hokoma ◽  
Hala Mansour Amaigl
Keyword(s):  
Value Chain ◽  
Operations Management ◽  
Manufacturing Industry ◽  
Survey Methodology ◽  
Cement Industry ◽  
Current Status ◽  
Just In Time ◽  
Successful Implementation ◽  
Key Factors ◽  
Implementation Status

This paper investigates in detail the current status of the implementation levels of JIT key-factors and their sub-elements within the cement industry within Libya, and its implication for management within the said industry. A survey methodology has been applied in this detailed investigation using an intensive questionnaire and one-to-one interviews of the correspondent organizations. Based on the analysis of the survey findings, the results show that the implementation status of the JIT key-factors and their sub-elements are found to be in the modest levels across all the surveyed organisations, thereby indicating to opportunities for eliminating waste and improving the value chain. This paper has also pointed to crucial areas where the senior management body within this industry need to take immediate actions in order to achieve an effective and successful implementation of JIT systems. The paper also makes a contribution by providing an insight into what extent the JIT key-factors and their sub-elements are understood and implemented within the key Libyan manufacturing industry.

scholarly journals Factors influencing COVID-19 knowledge-gap: a cross-sectional study in China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Han Wang ◽  
Lina Li ◽  
Jing Wu ◽  
Hao Gao
Keyword(s):  
Interpersonal Communication ◽  
Media Use ◽  
Education Level ◽  
Descriptive Statistics ◽  
Public Communication ◽  
Knowledge Gap ◽  
Knowledge Level ◽  
Internet Media ◽  
Education Levels ◽  
The Difference

Abstract Background In the face of a sudden outbreak of COVID-19, it is essential to promote health communication, especially to reduce communication inequality. The paper targeted China to investigate whether social structural factors (education level and urban-rural differences) lead to the knowledge gap of COVID-19. Also, this paper examined whether media use, interpersonal communication, public communication, and perceived salience of information can influence the knowledge gap of COVID-19. Furthermore, this paper explored the strategies to promote communication equality. Methods An online survey on COVID-19 knowledge and its influencing factors was conducted in February 2020, with a valid sample of 981 participants. The dependent variable was the total score of knowledge related to COVID-19. In addition to demographic variables such as education level and residence, the main explanatory variables include four independent variables: the use of different media (print media, radio, television, Internet), interpersonal communication, public communication, and perceived salience of information. This paper utilized descriptive statistics, correlation analysis, and hierarchical multiple regression analysis for data processing. Results Descriptive statistics indicated that the Internet was the most frequent source of information for participants to obtain COVID-19 knowledge (M = 6.28, SD = 1.022). Bi-variate analysis and regression analysis presented that education level, Internet media use, and perceived salience of information predicted the difference in knowledge level. Hierarchical multiple regression showed that Internet media use significantly predicted differences in the level of knowledge related to COVID-19 among groups with different education levels. Conclusions This study found a COVID-19 knowledge gap among the Chinese public, especially the digital knowledge gap. Education level, perceived salience of information, and internet media use can significantly predict the difference in COVID-19 knowledge level. In contrast, the use of traditional media such as newspaper, radio, and television, public communication, and interpersonal communication did not improve knowledge level. Internet media use and education level have an interactive effect on the formation of a COVID-19 knowledge gap. That is, online media use will expand the COVID-19 knowledge gap between groups with different education levels.

scholarly journals Parallel Cellular Automata Markov Model for Land Use Change Prediction over MapReduce Framework

2019 ◽  
Vol 8 (10) ◽  
pp. 454 ◽  
Author(s):  
Junfeng Kang ◽  
Lei Fang ◽  
Shuang Li ◽  
Xiangrong Wang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Cellular Automata ◽  
Markov Model ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Remote Sensing Images ◽  
Mapreduce Framework ◽  
Construction Land ◽  
Model Based

The Cellular Automata Markov model combines the cellular automata (CA) model’s ability to simulate the spatial variation of complex systems and the long-term prediction of the Markov model. In this research, we designed a parallel CA-Markov model based on the MapReduce framework. The model was divided into two main parts: A parallel Markov model based on MapReduce (Cloud-Markov), and comprehensive evaluation method of land-use changes based on cellular automata and MapReduce (Cloud-CELUC). Choosing Hangzhou as the study area and using Landsat remote-sensing images from 2006 and 2013 as the experiment data, we conducted three experiments to evaluate the parallel CA-Markov model on the Hadoop environment. Efficiency evaluations were conducted to compare Cloud-Markov and Cloud-CELUC with different numbers of data. The results showed that the accelerated ratios of Cloud-Markov and Cloud-CELUC were 3.43 and 1.86, respectively, compared with their serial algorithms. The validity test of the prediction algorithm was performed using the parallel CA-Markov model to simulate land-use changes in Hangzhou in 2013 and to analyze the relationship between the simulation results and the interpretation results of the remote-sensing images. The Kappa coefficients of construction land, natural-reserve land, and agricultural land were 0.86, 0.68, and 0.66, respectively, which demonstrates the validity of the parallel model. Hangzhou land-use changes in 2020 were predicted and analyzed. The results show that the central area of construction land is rapidly increasing due to a developed transportation system and is mainly transferred from agricultural land.

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