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This study analyses direct effects of risk-related factors on perceived quality for private labels.

A total of 159 usable data was collected through survey, using mall intercept method in one regional retail chain in Bosnia and Herzegovina.

The results confirm that the perceived risk has a significant and negative impact on consumers’ perceptions of the quality of private labels, and that the financial risk, performance risk, and physical risk are significant determinants of overall perceived risk, thus indirectly influencing the perception of the quality of these brands.

This chapter shows that the perceived quality of private labels is significantly determined by the perceived risk to which consumers are exposed. The findings of this research can help retailers in terms of adequately defining marketing policies aimed at reducing the perceived risk that consumers are exposed to when purchasing their own brands.

Sustainability performance of the global trade as well as of the traded products are affected by the trade policies and trade tariffs. Trade tariffs and policies can either encourage or discourage trade among the countries affecting feasibility of trade. In other words, the scope and amount of these trade tariffs have impact on the trade globally. Based on an in-depth literature review, this chapter aims to examine impacts of the trade policies and trade tariffs on the environmental footprint of the global trade. With this aim, recent trade policies and trade tariffs as well as roles of the trade policies, trade tariffs in reducing environmental footprint of the global trade are examined. It arrives at the conclusion that trade tariffs can affect environmental footprint of the global trade as well as of the traded products. They can have impact on the feasibility of the trading activities influencing their profit margins and costs. Based on these findings, recommendations for trade policies and trade tariffs are thereby provided to enhance sustainability performance of the global trade.

This chapter investigates the social determinants (urbanisation, population, literacy and corruption) of greenhouse gas (GHG) emissions in the top 100 developed and developing emitting countries. The data were collected from central repositories for the different variables explored for the period 2012–2020 in a cross-country analysis. Fixed effects ordinary least squares (OLS) regression was used to analyse the data. The results for all top 100 countries and developing countries show that urbanisation and corruption are significantly positive and negative determinants of GHG emissions, respectively. In addition, literacy is a significant positive determinant of GHG emissions in developing countries but not in the top 100 and developed countries. Population is not significant in the top 100 developed and developing countries. The results for the control variables suggest that primary energy consumption is a positive significant determinant of GHG emissions in the top 100 developed and developing countries. However, gross domestic product (GDP) is not a significant determinant of GHG emissions. The findings have important policy implications.