Cost recovery for higher education: a study of undergraduate students’ ability and willingness to pay in the Chinese Mainland

2002 ◽  
Vol 22 (5) ◽  
pp. 549-550 ◽  
Author(s):  
L Genshu
Keyword(s):  
Higher Education ◽  
Willingness To Pay ◽  
Undergraduate Students ◽  
Chinese Mainland ◽  
Cost Recovery ◽  
The Chinese Mainland ◽  
Ability And Willingness

EXAMINING THE EFFECTS OF EXPLICIT PRONUNCIATION INSTRUCTION ON THE DEVELOPMENT OF L2 PRONUNCIATION

2020 ◽  
Vol 42 (4) ◽  
pp. 905-918 ◽  
Author(s):  
Runhan Zhang ◽  
Zhou-min Yuan
Keyword(s):  
Undergraduate Students ◽  
Chinese Mainland ◽  
Significant Progress ◽  
Positive Effects ◽  
The Third ◽  
Pronunciation Instruction ◽  
Sentence Reading ◽  
The Chinese Mainland ◽  
University Level ◽  
Second Year

AbstractThe current study compares the effects of two types of pronunciation instruction (segmental- and suprasegmental-based) on the development of second-year Chinese undergraduate students’ English pronunciation as against a group with no specific pronunciation (NSP) instruction. The participants were 90 university-level students in the Chinese mainland, from three intact classes. One class was taught with a segmental focus (N = 30) and the second with a suprasegmental focus (N = 31), while the third received NSP instruction (N = 29). The results showed that after an 18-week period of instruction, both the segmental and suprasegmental groups made statistically significant progress in pronunciation, as measured by comprehensibility on a sentence-reading task; however, only the suprasegmental group made statistically significant progress in comprehensibility at the spontaneous level, and it was also the only group that maintained these spontaneous gains on the delayed posttest. The positive effects of explicit pronunciation instruction in general and of suprasegmental instruction in particular account for the findings.

Investigating Vietnamese undergraduate students’ willingness to pay for higher education under the cost-sharing context

2021 ◽  
pp. 147821032110118
Author(s):  
Trung T Le ◽  
Thuy L Nguyen ◽  
Minh T Trinh ◽  
Van T Le ◽  
Hiep-Hung Pham
Keyword(s):  
Higher Education ◽  
Willingness To Pay ◽  
Undergraduate Students ◽  
Cost Sharing ◽  
Public Higher Education ◽  
University Administrators ◽  
Tuition Fees ◽  
Related Factors ◽  
The Government ◽  
Tuition Fee

Currently, Vietnam is adopting a cost-sharing policy for public higher education. A dual mechanism of tuition fees has been introduced: (i) the tuition fee covers part of the instruction cost; and (ii) the tuition fee covers the full instruction cost. Despite this, Vietnamese public universities still face a shortage of income for maintaining good quality higher education. There has been ongoing debate about measures to resolve this problem: while some suggest the current tuition fee cap predetermined by the government should be raised, in conjunction with high levels of aid, others are opposed to this idea. However, this debate lacks students' perspectives. In this paper, we examine student’s willingness to pay for tuition in association with its predictors. A survey of 237 students shows that there is a high willingness to pay for higher education, evidenced by their willingness to pay for extra classes in addition to tuition fees for universities. The study also revealed that the following factors affect students’ views on total payments for higher education (including tuition fees and fees for extra classes): the academic year of the student, their major, whether they are fully self-paid vs. state-subsidized, their family’s economic situation and academic-related factors. Meanwhile, their willingness to pay was not influenced by gender and economic-related factors. These findings provide implications for policymakers and university administrators for the adjustment of financing policies.

Deferred cost recovery for higher education

1991 ◽  
Author(s):  
Douglas Albrecht ◽  
Adrian Ziderman
Keyword(s):  
Higher Education ◽  
Cost Recovery

scholarly journals A Potential Risk Index Dataset for Landfalling Tropical Cyclones over the Chinese Mainland (PRITC dataset V1.0)

2021 ◽  
Vol 38 (10) ◽  
pp. 1791-1802
Author(s):  
Peiyan Chen ◽  
Hui Yu ◽  
Kevin K. W. Cheung ◽  
Jiajie Xin ◽  
Yi Lu
Keyword(s):  
Tropical Cyclones ◽  
Potential Risk ◽  
Risk Index ◽  
Chinese Mainland ◽  
Current Version ◽  
Term Trend ◽  
The Chinese Mainland ◽  
Landfalling Tropical Cyclones ◽  
Long Term Trend

AbstractA dataset entitled “A potential risk index dataset for landfalling tropical cyclones over the Chinese mainland” (PRITC dataset V1.0) is described in this paper, as are some basic statistical analyses. Estimating the severity of the impacts of tropical cyclones (TCs) that make landfall on the Chinese mainland based on observations from 1401 meteorological stations was proposed in a previous study, including an index combining TC-induced precipitation and wind (IPWT) and further information, such as the corresponding category level (CAT_IPWT), an index of TC-induced wind (IWT), and an index of TC-induced precipitation (IPT). The current version of the dataset includes TCs that made landfall from 1949–2018; the dataset will be extended each year. Long-term trend analyses demonstrate that the severity of the TC impacts on the Chinese mainland have increased, as embodied by the annual mean IPWT values, and increases in TCinduced precipitation are the main contributor to this increase. TC Winnie (1997) and TC Bilis (2006) were the two TCs with the highest IPWT and IPT values, respectively. The PRITC V1.0 dataset was developed based on the China Meteorological Administration’s tropical cyclone database and can serve as a bridge between TC hazards and their social and economic impacts.

scholarly journals Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference Around Mainland China via Attention-Augmented CNN from Daytime Satellite Imagery

2021 ◽  
Vol 13 (11) ◽  
pp. 2067
Author(s):  
Haoyu Liu ◽  
Xianwen He ◽  
Yanbing Bai ◽  
Xing Liu ◽  
Yilin Wu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Chinese Mainland ◽  
Economic Research ◽  
Official Method ◽  
County Level ◽  
Socioeconomic Indicators ◽  
Sensing Data ◽  
Fine Grained ◽  
The Chinese Mainland

The official method of collecting county-level GDP values in the Chinese Mainland relies mainly on administrative reporting data and suffers from high costs of time, money, and human labor. To date, a series of studies have been conducted to generate fine-grained maps of socioeconomic indicators from the easily accessed remote sensing data and achieved satisfactory results. This paper proposes a transfer learning framework that regards nightlight intensities as a proxy of economic activity degrees to estimate county-level GDP around the Chinese Mainland. In the framework, paired daytime satellite images and nightlight intensity levels were applied to train a VGG-16 architecture, and the output features at a specific layer, after dimensional reduction and statistics calculation, were fed into a simple regressor to estimate county-level GDP. We trained the model with data of 2017 and utilized it to predict county-level GDP of 2018, achieving an R-squared of 0.71. Furthermore, the results of gradient visualization confirmed the validity of the proposed framework qualitatively. To the best of our knowledge, this is the first time that county-level GDP values around the Chinese Mainland have been estimated from both daytime and nighttime remote sensing data relying on attention-augmented CNN. We believe that our work will shed light on both the evolution of fine-grained socioeconomic surveys and the application of remote sensing data in economic research.

scholarly journals Talking the Talk and Fitting In: Troubling the Practices of Speaking? ‘What you are Worth’ in Higher Education in the UK

2015 ◽  
Vol 20 (2) ◽  
pp. 27-39 ◽  
Author(s):  
Michelle Addison ◽  
Victoria ◽  
G. Mountford
Keyword(s):  
Higher Education ◽  
Empirical Research ◽  
Undergraduate Students ◽  
Research Projects ◽  
University Staff ◽  
Cultural Meanings ◽  
The North ◽  
The Uk ◽  
Fitting In ◽  
Uk Higher Education

In this article we raise questions about fitting in pertaining to various classed identities within two UK Higher Education Institutions (HEI). We discuss the pains and privileges attached to accent and ways of speaking worth: Who is able to mobilize and capitalize on inscribed values, as they come to be attached to ways of talking? Accents and ways of talking are part of embodied class identities and whilst some carry connotations of intelligence, other ways of talking are positioned as lacking value, as well as other cultural meanings ( Sayer 2002 ; Spencer, Clegg and Stackhouse 2013 ; Lawler 1999 ; Skeggs 1997 ; Southerton 2002 ; Taylor 2007 ; Macfarlane and Stuart-Smith 2012 ). In this article we discuss our empirical research carried out in two separate qualitative ESRC-funded research projects in the north of England with undergraduate students (Victoria Mountford) and university staff (Michelle Addison). Focusing primarily on white British ways of talking, we examine how embodying particular accents or ways of talking affect classed notions of ‘fitting in’ or ‘standing out’ (Reay et al 2009: 1; Abraham and Ingram 2013 ) in HE. In a climate of uncertainty in Higher Education we are concerned that the importance of demonstrating one's impact, value and worth comes down to more than just productivity, it is becoming demonstrably about being able to ‘talk the talk’. Here we trouble the practices of speaking ‘what you are worth’.

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