The Use (and Abuse) of Meta-Analysis in Environmental and Natural Resource Economics: An Assessment
By Jon P. Nelson, Peter E. Kennedy. 2009
560 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/d294791c413813ad4e3a7dda25c499b4b54c0380
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Tomáš Havránek
- Luke Brander
- Maamar Sebri
- B. Demena
- Zuzana Irsova
- R. Horvath
- Marek Rusňák
- P. Bergeijk
In Environmental Engineering
Citations in the corpus
- A Global Map of Coastal Recreation Values: Results from a Spatially Explicit Meta-Analysis (2011, unknown): “Since variance estimates are not directly available from the primary studies in the data set, the size of the primary sample is used in Model C as a proxy for the variances, as suggested by various authors (see references in Nelson & Kennedy, 2009).”
- Determinants of Horizontal Spillovers from FDI: Evidence from a Large Meta-Analysis (2013, background): “(The largest metaanalysis in the sample of Nelson & Kennedy, 2009, includes 1,592 estimates and employs 41 variables to explain heterogeneity.)”
- Would Border Carbon Adjustments Prevent Carbon Leakage and Heavy Industry Competitiveness Losses? Insights From a Meta-Analysis of Recent Economic Studies (2014, unknown): “An extensive review of meta-analysis methods in environmental economics is given in Nelson and Kennedy (Nelson and Kennedy, 2009).”
- Evaluative conditioning in humans: a meta-analysis. (2010, methodology): “In meta-analysis, it is considered best practice to conduct a sensitivity analysis of the presented model (e.g., Borenstein et al., 2009; Greenhouse & Iyengar, 1994; Nelson & Kennedy, 2009).”
- Meta-analysis of institutional-economic factors explaining the environmental performance of payments for watershed services (2011, methodology): “It is a method of synthesizing the results of multiple studies that examine the same phenomenon through the identification of a common effect, which is then explained using regression techniques in a meta-regression model (Nelson & Kennedy 2009).”
- A Meta-Analysis of FDI and Productivity Spillovers in Developing Countries (2017, background): “To put this figure into comparison, Nelson and Kennedy (2009) summarize and assess 140 Meta-analysis in economics conducted since 1989 report that the average number of parameter estimates included was 191, the median was 92, and the largest number of parameter was 1592.”
- Demand for gasoline is more price-inelastic than commonly thought (2011, methodology): “We follow the recommendation of an authoritative survey of meta-analyses in environmental and resource economics (Nelson & Kennedy, 2009, p. 358): “The advantages of random-effects estimation [in meta-analysis] are so strong that this estimation procedure should be employed unless a very strong…”
- Changes in the global value of ecosystem services (2014, unknown): “Nelson and Kennedy (Nelson and Kennedy, 2009) provide a critical overview of 140 meta-analyses.”
- Ecosystem service values for mangroves in Southeast Asia: A meta-analysis and value transfer applicatio (2012, methodology): “Meta-analysis was first proposed as a research synthesis method by Glass (1976) and has since been developed and applied in many fields of research, not least in the area of environmental economics (Nelson and Kennedy, 2009).”
- Distributional Impacts of Carbon Pricing: A Meta-Analysis (2020, methodology): “We conduct several sensitivity analyses and specification tests as proposed by the best-practice guideline for future meta-analysis by Nelson and Kennedy (2009).”
- Determining water use efficiency for wheat and cotton: A meta-regression analysis (2016, unknown): “Note that the number of cases for wheat and cotton were different and less than the cases considered in some previous meta-analysis (Dalhuisen et al., 2003; Nelson and Kennedy, 2009; Rosenberger and Loomis, 2011; Woodward and Wui, 2001).”