Relevant bibliographies by topics / DRIVING FACTOR

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Academic literature on the topic 'DRIVING FACTOR'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "DRIVING FACTOR"

1

Trinh,, Pham T. T., and Le P. A. Nhan,. "The Global Factors Driving Common Inflation In ASEAN." GLOBAL BUSINESS FINANCE REVIEW 28, no. 4 (2023): 90–103. http://dx.doi.org/10.17549/gbfr.2023.28.4.90.

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Purpose: This study investigates the comovements of inflation across ASEAN countries and identifies the global factors driving the common inflation dynamics of the region. Design/methodology/approach: The study uses a two-step approach. The dynamic latent factor model is first employed to estimate the common inflation of the region in the period between 2000Q1 and 2022Q2. In the second step, a bound test approach to autoregressive distributed lag (ARDL) methodology is employed to estimate the model of common inflation, which is constructed based on the aggregate supply - aggregate demand (AS-AD) framework. Findings: The study finds a common factor of inflation across ASEAN countries. The analysis of variance decomposition indicates the significant role of common inflation in the variations of individual countries' inflation. World economic growth, oil price change, non-fuel commodity price change, and trade openness are the main drivers of ASEAN common inflation in both short and long terms. Research limitations/implications: The study focuses mainly on supply-side factors, although some demand-side factors are involved. Future studies should pay more concerns on the trade linkages among regional countries and the similarities in goals in the region. Originality/value: The study examines the common inflation component across ASEAN countries, which has not been sufficiently investigated. It also evaluates the drivers at the global level of common inflation, which has limited empirical evidence.
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Zhang, Hong Wu, Lin Yun Shi, Zi Rui Lan, and Jia Hui Yin. "Regional Difference and its Influencing Factors of China's CO2 Emission Changes." Advanced Materials Research 524-527 (May 2012): 3655–61. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.3655.

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Abstract. Regional difference of China's CO2 emission is basically in line with the trend of China's economic development that the emission is higher in the eastern coastal areas and lower in the western inland areas. The characteristic of the changes of the total CO2 emission is that the growth rate significantly accelerated after 2000. The basic factor which acts as a drive of CO2 emission increase is economic scale factor and the energy saving factor contributes to the decrease of CO2 emission. The driving power of the population factor and energy conversion factor is weak especially the influence of energy conversion factor is very instable. All the provinces are driven by positive driving force in economic scale factor and most provinces with great driving power are located in the eastern coastal areas. All the provinces are driven by positive driving force without expectation in energy conversion factor and most provinces whose energy saving efficiency improvement is of range small are driven poorly are located in the inland. Provinces are mostly driven positively in population size factor and this is related with size and orientation of driving force and population growth. The reason of the great difference of energy conversion factor is connected with energy consumption scale and change of CO2 emission energy unit consumption.
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Wu, Chaozhong, Wenhui Chu, Hui Zhang, and Türker Özkan. "Interactions between Driving Skills on Aggressive Driving: Study among Chinese Drivers." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 31 (2018): 10–20. http://dx.doi.org/10.1177/0361198118755683.

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Aggressive driving has attracted significant attention recently with the increase in related road traffic collisions occurring in China. This study aims to investigate the effect of driving skills on aggressive driving behaviors and traffic accidents to find implications for traffic safety improvement in China. A total of 735 Chinese drivers were recruited to complete a self-reported survey including demographic information, the translated Driver Skill Inventory (DSI), and Driver Aggression Indicator Scale (DAIS). Exploratory factor analysis was first conducted to investigate the factor structures of DSI and DAIS among Chinese drivers. Unlike the two-factor solution (i.e., perceptual-motor and safety skills) found in other studies, the current study result revealed a three-factor solution (i.e., perceptual-motor, safety, and emotional control skills) of DSI. Then, the interaction between DSI factors on DAIS factors, demographic variables, and the number of self-reported traffic accidents and offenses was tested by using moderated regression methods. The results revealed the interaction between perceptual-motor skills and safety skills on aggressive warnings committed by drivers themselves. The interactive effect between safety skills and emotional control skills on perceived aggressive warnings was also found. The results suggested that higher ratings of safety skills are essential for buffering the effect of high-level perceptual-motor skills and emotional control skills on aggressive driving in China. In conclusion, policy makers should be interested in understanding the effect of Chinese drivers’ skills on the aggression drivers committed and conceived in traffic. Successful intervention strategies should include all skill factors in the driver training contents.
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4

Patterson, Loretta, Nadia Mullen, Arne Stinchcombe, Bruce Weaver, and Michel Bédard. "Measuring the impact of driving status: The Centre for Research on Safe Driving–Impact of Driving Status on Quality of Life (CRSD-IDSQoL) tool." Canadian Journal of Occupational Therapy 86, no. 1 (2019): 30–39. http://dx.doi.org/10.1177/0008417418824980.

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Background. Driving an automobile is often considered an activity of daily living and is crucial to quality of life for many individuals. Following driving cessation, quality of life may become compromised. Purpose. The Centre for Research on Safe Driving–Impact of Driving Status on Quality of Life (CRSD-IDSQoL) was designed to measure various elements of quality of life and how those elements are affected by driving status. Method. The CRSD-IDSQoL was cross-sectionally administered to a convenience sample of 114 individuals (mean age 65.8 years). Exploratory factor analysis was used to examine the factor structure. Findings. The results supported three factors. Following adjustments for conceptual fit, Cronbach’s alphas for the Community Mobility, Emotional, and Resources and Safety domains were .82, .84, and .74, respectively. Community Mobility was positively associated with distance driven per week. Implications. The CRSD-IDSQoL may be a useful tool to study quality-of-life impacts of driving cessation. Further evaluation of the tool is warranted.
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5

mahmodzadeh, mahmod, and mehdi fathabadi. "Driving Factors of Total Factor Productivity in Iranian Manufacturing Industries." Journal of Research in Economic Modeling 7, no. 26 (2017): 141–65. http://dx.doi.org/10.18869/acadpub.jemr.7.26.141.

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6

Schweizer, Karl, and Siegbert Reiß. "On the Contextual Conditions Driving a Difficulty Factor." International Journal of Statistics and Probability 8, no. 5 (2019): 1. http://dx.doi.org/10.5539/ijsp.v8n5p1.

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This paper reports three simulation studies conducted to identify the contextual conditions leading to the observation of a difficulty factor in confirmatory factor analysis. The data of each study were generated to show one underlying source of responding only whereas the difficulties of the simulated items constituting the contextual condition were varied. The first study showed that a broad range of difficulties of items was insufficient for driving a difficulty factor. The second study revealed that very large and small difficulties of the same size could lead to a difficulty factor if the confirmatory factor model included two correlated factors. In the third study a subgroup of simulated items showed very large difficulties of the same size while the difficulties of the other simulated item were varied. In this study almost all combinations of difficulties led to the observation of a difficulty factor that was correlated or uncorrelated with the genuine factor.
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7

Hwa, Mei Yin, Tai Yi Yu, Wen Chung Hsu, and Chien An Chen. "Establishment of Typical Driving Patterns for Light-Duty Vehicles on Different Roads in Hsin-Chu Area of Taiwan." Advanced Materials Research 356-360 (October 2011): 1505–9. http://dx.doi.org/10.4028/www.scientific.net/amr.356-360.1505.

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This study utilized the car chasing method to chase 86 light-duty vehicles on seven major roads in the Shin-Chu area and establish the typical driving patterns for various roads. The 23 parameters that associated with the driving were considered to elucidate the features of driving patterns. This work examined two manners, corrected Euclidean distance and traditional Euclidean distance methods, to elucidate a representative driven cycle. In the screening procedure of the typical driven cycle, factor analysis was applied to correct Euclidean distance and examine the 23 variables of driving conditions. The results indicated that the first five of the 23 principal components explained at least 94% of the variance for seven roads. The physical interpretation based on factor analysis was better than the traditional Euclidean distance method, so the results of factor analysis were used to select the typical driven cycle. The average speeds were 34.1 kmh-1 for the city road; 36.8, 26.1 and 30.4 kmh-1 for county roads 118, 120 and 122; 38.7 and 36.5 kmh-1/ for provincial roads 1 and 3; 85.9 kmh-1 for freeway.
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8

Strahan, Robert F., Cletus R. Mercier, Joyce M. Mercier, and Michael W. O'Boyle. "Personality Structure of Elderly Drivers." Perceptual and Motor Skills 85, no. 2 (1997): 747–55. http://dx.doi.org/10.2466/pms.1997.85.2.747.

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This paper reports the factor structure of a 37-item personality questionnaire intended to be predictive of driving performance in elderly persons. Subjects were 191 persons 63 years of age or older, about half of whom also were given perceptual/cognitive tasks and drove on a closed driving course. Although the personality questionnaire did not predict driving skill, the factor structure of the questionnaire is of interest. Of several factor analyses, the most satisfactory was a 2-factor solution. We interpreted the approximately orthogonal factors as measuring what we labeled Competence and Emotionality.
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9

Carvalho, Janessa O., Beth Springate, Rachel A. Bernier, and Jennifer Davis. "Psychometrics of the AAN Caregiver Driving Safety Questionnaire and contributors to caregiver concern about driving safety in older adults." International Psychogeriatrics 30, no. 3 (2017): 355–64. http://dx.doi.org/10.1017/s1041610217001727.

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ABSTRACTBackground:The American Academy of Neurology (AAN) updated their practice parameters in the evaluation of driving risk in dementia and developed a Caregiver Driving Safety Questionnaire, detailed in their original manuscript (Iverson Gronseth, Reger, Classen, Dubinsky, & Rizzo, 2010). They described four factors associated with decreased driving ability in dementia patients: history of crashes or citations, informant-reported concerns, reduced mileage, and aggressive driving.Method:An informant-reported AAN Caregiver Driving Safety Questionnaire was designed with these elements, and the current study was the first to explore the factor structure of this questionnaire. Additionally, we examined associations between these factors and cognitive and behavioral measures in patients with mild cognitive impairment or early Alzheimer's disease and their informants.Results:Exploratory factor analysis revealed a four-component structure, consistent with the theory behind the AAN scale composition. These four factor scores also were significantly associated with performance on cognitive screening instruments and informant reported behavioral dysfunction. Regressions revealed that behavioral dysfunction predicted caregiver concerns about driving safety beyond objective patient cognitive dysfunction.Conclusions:In this first known quantitative exploration of the scale, our results support continued use of this scale in office driving safety assessments. Additionally, patient behavioral changes predicted caregiver concerns about driving safety over and above cognitive status, which suggests that caregivers may benefit from psychoeducation about cognitive factors that may negatively impact driving safety.
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10

Xin-gang, Zhao, and Wang Wei. "Driving force for China’s photovoltaic industry output growth: Factor-driven or technological innovation-driven?" Journal of Cleaner Production 274 (November 2020): 122848. http://dx.doi.org/10.1016/j.jclepro.2020.122848.

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