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Fashion merchandising hold a paramount position within the realm of retail marketing. Currently, the purpose of this article is that the assessment of display effectiveness predominantly relies on the subjective judgment of merchandisers due to the absence of an effective evaluation method. Although eye-tracking devices have found extensive used in tracking the gaze trajectory of subject, they exhibit limitations in terms of stability when applied to the evaluation of various scenes. This underscores the need for a dependable, user-friendly and objective assessment method.

To develop a cost-effective and convenient evaluation method, the authors introduced an image processing framework for the assessment of variations in the impact of store furnishings. An optimized visual saliency methodology that leverages a multiscale pyramid model, incorporating color, brightness and orientation features, to construct a visual saliency heatmap. Additionally, the authors have established two pivotal evaluation indices aimed at quantifying attention coverage and dispersion. Specifically, bottom features are extract from 9 distinct scale images which are down sampled from merchandising photographs. Subsequently, these extracted features are amalgamated to form a heatmap, serving as the focal point of the evaluation process. The authors have proposed evaluation indices dedicated to measuring visual focus and dispersion, facilitating a precise quantification of attention distribution within the observed scenes.

In comparison to conventional saliency algorithm, the optimization method yields more intuitive feedback regarding scene contrast. Moreover, the optimized approach results in a more concentrated focus within the central region of the visual field, a pattern in alignment with physiological research findings. The results affirm that the two defined indicators prove highly effective in discerning variations in visual attention across diverse brand store displays.

The study introduces an intelligent and cost-effective objective evaluate method founded upon visual saliency. This pioneering approach not only effectively discerns the efficacy of merchandising efforts but also holds the potential for extension to the assessment of fashion advertisements, home design and website aesthetics.

The purpose of this paper is to explore the relationship between medium‐large firms' industrial performance, territorial factors and local development policies.

The paper is an empirical econometric investigation based on a panel dataset of county‐level data, carried out in the Guangdong Province for the period 2000‐2008.

Results suggest a positive and significant relationship between policies at the local level and business performance. The most important determinants of industrial performance appear to be development zones and specialized towns – on the policy side – as well as the presence of urban areas, investment in innovation and FDI. Given the complexity of the relationships, further research is called for in order to build more evidence for this and other Chinese provinces.

The analysis confirms the initial hypothesis that business excellence can be influenced by the specific characteristics of the territories where firms are located, among which there might be government policies aiming at local development and encouraging a better business environment.

Relevant to the policy‐making process, results suggest that business excellence should not be viewed as only a matter of business strategies. It can be a result of territorial excellence and effective local development policies.

In the international debate there are very few papers testing the relationship between policies and industrial performances in China. Even fewer explore this relationship at the local level. This paper offers a unique county‐level perspective and in‐depth view on local industrial policies.