Search results

The purpose of this paper is to identify significant factors of environmental variables and pollutants that have an effect on PM_2.5 through wavelet and regression analysis.

In order to provide stable data set for regression analysis, multiresolution analysis using wavelets is conducted. For the sampled data, multicollinearity among the independent variables is removed by using principal component analysis and multiple linear regression analysis is conducted using PM_2.5 as a dependent variable.

It is found that few pollutants such as NO₂, NO_x, SO₂, benzene and environmental factors such as ambient temperature, solar radiation and wind direction affect PM_2.5. The regression model developed has high R² value of 91.9 percent, and the residues are stationary and not correlated indicating a sound model.

The research provides a framework for extracting stationary data and other important features such as change points in mean and variance, using the sample data for regression analysis. The work needs to be extended across all areas in India and for various other stationary data sets there can be different factors affecting PM_2.5.

Control measures such as control charts can be implemented for significant factors.

Rules and regulations can be made more stringent on the factors.

The originality of this paper lies in the integration of wavelets with regression analysis for air pollution data.

Wine tourism is spreading from the “old world” wine countries to Asia. The purpose of this paper is to introduce the GLOW framework capturing the tension of homogenization and globalization of touristic experiences, the tourists' rising environmental concerns and their conflict of searching for authentic experience with new sensations.

In a mixed-method procedure, evidence describing the wine tourists’ perceptions and motivations is assessed using a quantitative survey and fitting a structural equation model using the PLS algorithm. Complementing evidence through qualitative interviews with Indian entrepreneurs on designing a glocalized experience is analyzed.

Spillover from international travel is the most relevant driver of wine tourism in India. However, types of wines and the experiences are adjusted to the local conditions. The winemakers are remarkably advanced in implementing environmentally sustainable production and avoiding over tourism which perfectly meets their clients’ expectations.

Entrepreneurial creation theory as described by Alvarez and Barney (2007) is illustrated in the Asian glocalisation context giving special attention to the entrepreneur’s individual capabilities as called by Helfat and Peteraf (2015) and Liñán et al. (2020).

Conservation of biodiversity and the aesthetics of the local landscape are essential for the vividness of the entrepreneurial ecosystem and the attractiveness for the guests.

Local adaptation of the touristic experience in terms of entertainment, indigenous cuisines and local specialty supports sustainable development of all the stakeholders.

Novelty arises from the projection of the visitors considering the wine cellar experience as an alternative to international travels in combination with analyzing how the entrepreneurs create entrepreneurial opportunities by carving out an authentic experience for their guests.