Abstract
This study explores relationship between the controllable issues in responsible tourism and the key socio-environmental performance indicators, using the Temporal Causal Modeling (TCM) approach. TCM uses an autoregressive approach to build a causal model for a specified set of target series from a set of candidate inputs. Unlike the conventional time series, modeling TCM does not use an explicit predictor. TCM is likely to identify the controllable inputs that have maximum impact on key performance indicators. The study used 5-year time series data (2014-2018) on socio-environmental performance indicators in Indian tourism context and normalized controllable metrics related to responsible tourism. The analysis identified restoration programmes, recycling & reusing products, biological conservation, ecological carrying capacity and ethno-cultural advocacy as controllable metrics of responsible tourism and found to share significant relationship with 10 socio-environmental key performance indicators. The analysis identified restoration programmes, recycling & reusing products, biological conservation, ecological carrying capacity and ethno-cultural advocacy as controllable metrics of responsible tourism and found to share significant relationship with 10 socio-environmental key performance indicators.
 Key words: Responsibility; Sustainability; Causal; Indicators; Controllable; Tourism.
Highlights
Travel and tourism has been accepted as a universal growth driver with its mercurial performance over the years
China and USA together accounted for 35.2% of the global Travel & Tourism GDP followed by Japan, Germany and the UK
This paper focused on identification of the controllable metrics of responsible tourism and further attempted to identify the relationship, if any, with the socio-environmental performance indicators
Summary
Travel and tourism has been accepted as a universal growth driver with its mercurial performance over the years. In 2018, the travel and tourism sector registered a growth of 3.9%, second only to the manufacturing sector (4.0%). The tourism sector accounted for 8.8 trillion USD which equated to 10.4% of the global GDP in 2018. The sector outpaced overall economy growth for the eighth consecutive year. China and USA together accounted for 35.2% of the global Travel & Tourism GDP followed by Japan, Germany and the UK. This sectoral surge has been attributed to the exponential increase in domestic travel in the major economies
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