Natural capital, subjective well-being, and the new welfare economics of sustainability: Some evidence from cross-country regressions

Engelbrecht, Hans‐Jürgen

doi:10.1016/j.ecolecon.2009.08.011

Cited by 90 publications

(41 citation statements)

References 37 publications

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“…ordinal techniques such as ordered Probit regression (Ferrer-iCarbonell & Frijters, 2004), although OLS techniques have sometimes been used in micro level studies focussing on responses of individuals and generally used in macro level research (using crosssection or panel data) where the responses for many individuals in a region or country are aggregated to give average satisfaction levels (Engelbrecht, 2009;Rehdanz & Maddison, 2005;. The differences resulting from using either ordinal or continuous data techniques has been empirically tested by comparing the results obtained from using each method.…”

Section: Variables and Methods Used To Determine Whether Trip Satisfamentioning

confidence: 99%

“…This study evaluates the impact of many different factors on the likelihood of tourists returning 1 The terms happiness, life satisfaction and subjective well-being (SWB) are frequently used interchangeably although the term 'happiness' is less closely related to life satisfaction than is the term SWB (Engelbrecht, 2009). to the region to determine how significant trip satisfaction is to this decision. 2 What factors influence the trip satisfaction experienced by tourists visiting the GBR?…”

Section: Introductionmentioning

confidence: 99%

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The impact of economic, social and environmental factors on trip satisfaction and the likelihood of visitors returning

2016

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h i g h l i g h t sTourist trip satisfaction impacts likelihood of returning and related revenues. Changes in factors affecting satisfaction impact revenue arising from repeat visits. Economic, social and environmental factors impact trip satisfaction. Many industries outside tourism impact on factors influencing trip satisfaction. Developing tourism policy requires a holistic view incorporating all local industries. a b s t r a c tTourism is vital to the economy of many regions; however visitor numbers in some are stagnating. Using a novel approach, this case study of the Great Barrier Reef explores and quantifies risks to visitor numbers, utilising tourist survey data supplemented by objective data from secondary sources. Economic, social and environmental factors affecting trip satisfaction are identified, which itself is found to affect the likelihood of a tourist returning; the impact of changes on trip satisfaction and on repeat visits is then estimated. Linkages between tourism and other industries are clearly demonstrated; increased construction work, decreased water clarity and decreased perceptions of tourist safety are all estimated to significantly reduce likelihood of repeat visits and hence impact tourist revenues, placing the financial viability of the industry at risk. Future development within the region should be evaluated holistically, rather than industries such as tourism, construction, agriculture etc. each being developed in isolation.

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Section: Variables and Methods Used To Determine Whether Trip Satisfamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The impact of economic, social and environmental factors on trip satisfaction and the likelihood of visitors returning

2016

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“…Abdallah et al 2012;Helliwell 2003;Lane 2000a;O'Riordan 2013). Some research indicates a connection between wellbeing and the environment (Engelbrecht 2009;Vemuri and Costanza 2006). For example subjective wellbeing is, ''…positively associated with species richness and abundance and vegetation cover and density and negatively associated with urban development' ' (Luck et al 2011, p. 824).…”

Section: Measuring Social Health and Individual Wellbeingmentioning

confidence: 93%

Determining Localisation Metrics

2016

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Assisting those wanting to explore localisation as a transformative sustainability strategy, this article provides the results of interviews with six localisation experts to determine localisation metrics. The interviews aimed to determine localisation qualities that should be captured for localisation measurement, and/or metrics that might be used to measure these. The shared expert belief and opinion regarding these metrics and qualities was expanded using writings by these and other experts. The formed metric set includes:(1) resource self-reliance; (2) resource dependence; (3) social health; (4) environmental damage/impact; (5) localisation type/governance participation; and (6) control and ownership of resources, land, assets and business. These metrics may be used to determine how localised a community, region, or country is, and to form localisation indexes. This article describes the formation of the metric set, and may assist clarification of localisation understandings by enabling measurement.

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“…Compare for instanceEngelbrecht (2009) who looks at country level determinants andKnight et al (2009) who test the strength of individual level predictors. Engelbrecht finds a higher R 2 and is thus more capable of explaining differences between countries thanKnight et al (2009) are in explaining differences between individuals.B.…”

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confidence: 99%

The Impact of Exposure to Other Countries on Life Satisfaction: An International Application of the Relative Income Hypothesis

Schalembier

2015

Soc Indic Res

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The cause of international differences in life satisfaction is usually ascribed to differences in living standards. Yet, despite improving living standards in a lot of middleincome countries, significant differences in life satisfaction between middle-and highincome countries remain. This paper examines if there is an international comparison effect and assesses to what extent the relative income hypothesis can be applied to explain international differences in life satisfaction. We test this by analyzing how exposure to other countries impacts life satisfaction. It is hypothesized that higher exposure to other countries in low-and middle-income countries has a negative effect due to increased aspirations and relative deprivation, while the opposite holds true for rich countries. We draw on data from the World Value Survey, the World Bank and the KOF Globalization index to perform a multilevel analysis. The results suggest that an international comparison effect indeed exists and is capable of partially explaining international differences in life satisfaction. Additional analyses reveal that people in lower income classes, in all countries, are affected more by exposure to other countries, indicating that individual characteristics are important when assessing the impact of exposure on life satisfaction. We demonstrate the robustness of these findings by showing that both sub-indicators of exposure, informational flow and international contact, have an impact on life satisfaction that is similar to that of our overall exposure-index.

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Natural capital, subjective well-being, and the new welfare economics of sustainability: Some evidence from cross-country regressions

Cited by 90 publications

References 37 publications

The impact of economic, social and environmental factors on trip satisfaction and the likelihood of visitors returning

The impact of economic, social and environmental factors on trip satisfaction and the likelihood of visitors returning

Determining Localisation Metrics

The Impact of Exposure to Other Countries on Life Satisfaction: An International Application of the Relative Income Hypothesis

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