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Article

Bing Xu and Junzo Watada

The study aims to reinvestigate the regional urbanization gap in China and some projects are to be presented for reducing the gap.

Abstract

Purpose

The study aims to reinvestigate the regional urbanization gap in China and some projects are to be presented for reducing the gap.

Design/methodology/approach

An innovative weighted kernel density approach is applied for identifying the regional urbanization development with population migration and investment and evaluating the projects.

Findings

The regional urbanization gap is 7 and 9 percent with the unconditional estimation, 13 (23) percent and 13 (23) percent with population (investment) weighted estimation between eastern and middle region, eastern and western region, respectively. The project on the interior migration of population by 30 percent and the project on the selective investment enhancement by 30 percent both reduce the regional urbanization gap by about 4 percent between middle and eastern region.

Research limitations/implications

Focus is only on the investigation of urbanization development level with single population migration or investment enhancement; the identifications and projects with joint impact of population and investment are not considered.

Originality/value

The study not only measures the urbanization development with the nonparametric approach but also designs some practicable projects for reducing the regional urbanization gap, which is helpful for the Chinese Government in the policymaking process.

Details

Journal of Modelling in Management, vol. 3 no. 1
Type: Research Article
ISSN: 1746-5664

Keywords

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Article

Chuanhong Miao, Xican Li and Jiehui Lu

The purpose of this paper is to establish the grey relational estimating model of soil pH value based on hyper-spectral data.

Abstract

Purpose

The purpose of this paper is to establish the grey relational estimating model of soil pH value based on hyper-spectral data.

Design/methodology/approach

As to the uncertainty of the factors affecting the soil pH value estimation based on hyper-spectral, the grey weighted relation estimation model was set up according to the grey system theory. Then the linear regression correction model is established according to the difference and grey relation degree information between the estimated samples and their corresponding pattern. At the same time, the model was applied to Hengshan county of Shanxi province.

Findings

The results are convincing: not only that the linear regression correction model of grey relation estimating pattern of soil pH value based on hyper-spectral data is valid, but also the model’s estimating accuracy is higher, which the corrected average relative error is 0.2578 per cent, and the decision coefficient R2=0.9876.

Practical implications

The method proposed in the paper can be used at soil pH value hyper-spectral inversion and even for other similar forecast problem.

Originality/value

The paper succeeds in realising both the soil pH value hyper-spectral grey relation estimating pattern based on the grey relational theory and the correction model of the estimating pattern by using the linear regression.

Details

Grey Systems: Theory and Application, vol. 8 no. 4
Type: Research Article
ISSN: 2043-9377

Keywords

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Book part

Massimo Guidolin and Carrie Fangzhou Na

We address an interesting case – the predictability of excess US asset returns from macroeconomic factors within a flexible regime-switching VAR framework – in which the…

Abstract

We address an interesting case – the predictability of excess US asset returns from macroeconomic factors within a flexible regime-switching VAR framework – in which the presence of regimes may lead to superior forecasting performance from forecast combinations. After documenting that forecast combinations provide gains in predictive accuracy and that these gains are statistically significant, we show that forecast combinations may substantially improve portfolio selection. We find that the best-performing forecast combinations are those that either avoid estimating the pooling weights or that minimize the need for estimation. In practice, we report that the best-performing combination schemes are based on the principle of relative past forecasting performance. The economic gains from combining forecasts in portfolio management applications appear to be large, stable over time, and robust to the introduction of realistic transaction costs.

Details

Forecasting in the Presence of Structural Breaks and Model Uncertainty
Type: Book
ISBN: 978-1-84950-540-6

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Article

Lei Zhang, Fengchun Tian, Xiongwei Peng, Xin Yin, Guorui Li and Lijun Dang

The purpose of this paper is to present a novel concentration estimation model for improving the accuracy and robustness of low-cost electronic noses (e-noses) with metal…

Abstract

Purpose

The purpose of this paper is to present a novel concentration estimation model for improving the accuracy and robustness of low-cost electronic noses (e-noses) with metal oxide semiconductor sensors in indoor air contaminant monitoring and overcome the potential sensor drift.

Design/methodology/approach

In the quantification model, a piecewise linearly weighted artificial neural network ensemble model (PLWE-ANN) with an embedded self-calibration module based on a threshold network is studied.

Findings

The nonlinear estimation problem of sensor array-based e-noses can be effectively transformed into a piecewise linear estimation through linear weighted neural networks ensemble activated by a threshold network.

Originality/value

In this paper, a number of experimental results have been presented, and it also demonstrates that the proposed model has very good accuracy and robustness in real-time indoor monitoring of formaldehyde.

Details

Sensor Review, vol. 34 no. 3
Type: Research Article
ISSN: 0260-2288

Keywords

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Article

Wei Zhang, Xianghong Hua, Kegen Yu, Weining Qiu, Xin Chang, Bang Wu and Xijiang Chen

Nowadays, WiFi indoor positioning based on received signal strength (RSS) becomes a research hotspot due to its low cost and ease of deployment characteristics. To further…

Abstract

Purpose

Nowadays, WiFi indoor positioning based on received signal strength (RSS) becomes a research hotspot due to its low cost and ease of deployment characteristics. To further improve the performance of WiFi indoor positioning based on RSS, this paper aims to propose a novel position estimation strategy which is called radius-based domain clustering (RDC). This domain clustering technology aims to avoid the issue of access point (AP) selection.

Design/methodology/approach

The proposed positioning approach uses each individual AP of all available APs to estimate the position of target point. Then, according to circular error probable, the authors search the decision domain which has the 50 per cent of the intermediate position estimates and minimize the radius of a circle via a RDC algorithm. The final estimate of the position of target point is obtained by averaging intermediate position estimates in the decision domain.

Findings

Experiments are conducted, and comparison between the different position estimation strategies demonstrates that the new method has a better location estimation accuracy and reliability.

Research limitations/implications

Weighted k nearest neighbor approach and Naive Bayes Classifier method are two classic position estimation strategies for location determination using WiFi fingerprinting. Both of the two strategies are affected by AP selection strategies and inappropriate selection of APs may degrade positioning performance considerably.

Practical implications

The RDC positioning approach can improve the performance of WiFi indoor positioning, and the issue of AP selection and related drawbacks is avoided.

Social implications

The RSS-based effective WiFi indoor positioning system can makes up for the indoor positioning weaknesses of global navigation satellite system. Many indoor location-based services can be encouraged with the effective and low-cost positioning technology.

Originality/value

A novel position estimation strategy is introduced to avoid the AP selection problem in RSS-based WiFi indoor positioning technology, and the domain clustering technology is proposed to obtain a better accuracy and reliability.

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Book part

Francesco Bravo, Kim P. Huynh and David T. Jacho-Chávez

This chapter proposes a simple procedure to estimate average derivatives in nonparametric regression models with incomplete responses. The method consists of replacing the…

Abstract

This chapter proposes a simple procedure to estimate average derivatives in nonparametric regression models with incomplete responses. The method consists of replacing the responses with an appropriately weighted version and then use local polynomial estimation for the average derivatives. The resulting estimator is shown to be asymptotically normal, and an estimator of its asymptotic variance–covariance matrix is also shown to be consistent. Monte Carlo experiments show that the proposed estimator has desirable finite sample properties.

Details

Missing Data Methods: Cross-sectional Methods and Applications
Type: Book
ISBN: 978-1-78052-525-9

Keywords

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Article

S.E. ROBERTSON

A Bayesian argument is used to suggest modifications to the Robertson/Sparck Jones relevance weighting formula, to accommodate the addition to the query of terms taken…

Abstract

A Bayesian argument is used to suggest modifications to the Robertson/Sparck Jones relevance weighting formula, to accommodate the addition to the query of terms taken from the relevant documents identified during the search.

Details

Journal of Documentation, vol. 42 no. 3
Type: Research Article
ISSN: 0022-0418

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Article

Véronique Gille

Empirical evidence of education spillovers in developing countries and rural contexts is scarce and focuses on specific channels. The purpose of this paper is to provide…

Abstract

Purpose

Empirical evidence of education spillovers in developing countries and rural contexts is scarce and focuses on specific channels. The purpose of this paper is to provide evidence of such spillovers in rural India, by evaluating the overall impact of neighbours' education on farm productivity.

Design/methodology/approach

The author uses cross‐sectional data from the India Human Development Survey of 2005. Spatial econometric tools are used to take into account social distance between neighbours. To be sure that the author's definition of a neighbourhood does not drive the results, three different definitions of neighbours were tested.

Findings

The results show that education spillovers are substantial: one additional year in the mean level of education of neighbours increases households' farm productivity by 2 per cent. These findings are robust to changes in specification.

Research limitations/implications

The results open the way to further research. In particular, this paper does not explore the channels through which this spillover effect happens.

Practical implications

This paper confirms the choice of improving education in developing countries: giving a child education will certainly provide him/her with greater revenues and it may also provide his/her neighbours with greater revenues. The paper shows the importance for policy makers of taking into account education spillovers and policies' complementarity when facing political trade‐offs.

Originality/value

This paper is one of the few to underline that education externalities do not only exist in urban contexts and education spillovers do not only occur between workers of the manufacturing and service sectors. There are also spillovers in sectors considered as more traditional, such as agriculture.

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Article

Vikrant Sharma, B.D. Gidwani, Vikram Sharma and M.L. Meena

The purpose of this paper is to visualize the prioritization among essential factors of cellular manufacturing system (CMS) implementation using the analytic hierarchy…

Abstract

Purpose

The purpose of this paper is to visualize the prioritization among essential factors of cellular manufacturing system (CMS) implementation using the analytic hierarchy process (AHP) and analytic network process (ANP) methods.

Design/methodology/approach

Based on literature review, 4 enabler dimensions and 17 CM factors were identified which were validated by experts from academia and industry. Then, AHP and ANP models are proposed in evaluating CMS implementation dimensions and factors. The results are validated using sensitivity analysis.

Findings

These models give firms a straightforward and simple to utilize way to deal with CMS efficiently. The two strategies were appeared to be powerful in choosing a strategy for CMS implementation. The two strategies brought about nearly similar outcomes. Both methods consider the particular necessities of the organization through its own accessible ability.

Practical implications

The techniques exhibited in this paper can be utilized by a wide range of organizations for adopting CMS that have a higher impact on performance and thus overall productivity. The two techniques are explained in a step-by-step approach for easier adoption by practitioners.

Originality/value

The strength of the present study is that it is one of the first few to be conducted in perspective for CM implementation factors analysis.

Details

Benchmarking: An International Journal, vol. 26 no. 5
Type: Research Article
ISSN: 1463-5771

Keywords

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Book part

Jörg Henseler, Christian M. Ringle and Rudolf R. Sinkovics

In order to determine the status quo of PLS path modeling in international marketing research, we conducted an exhaustive literature review. An evaluation of double-blind…

Abstract

In order to determine the status quo of PLS path modeling in international marketing research, we conducted an exhaustive literature review. An evaluation of double-blind reviewed journals through important academic publishing databases (e.g., ABI/Inform, Elsevier ScienceDirect, Emerald Insight, Google Scholar, PsycINFO, Swetswise) revealed that more than 30 academic articles in the domain of international marketing (in a broad sense) used PLS path modeling as means of statistical analysis. We assessed what the main motivation for the use of PLS was in respect of each article. Moreover, we checked for applications of PLS in combination with one or more additional methods, and whether the main reason for conducting any additional method(s) was mentioned.

Details

New Challenges to International Marketing
Type: Book
ISBN: 978-1-84855-469-6

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