Daigee Shaw

2.8k total citations
50 papers, 2.0k citations indexed

About

Daigee Shaw is a scholar working on Economics and Econometrics, Sociology and Political Science and Global and Planetary Change. According to data from OpenAlex, Daigee Shaw has authored 50 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Economics and Econometrics, 9 papers in Sociology and Political Science and 8 papers in Global and Planetary Change. Recurrent topics in Daigee Shaw's work include Economic and Environmental Valuation (11 papers), Climate Change Policy and Economics (10 papers) and Water resources management and optimization (7 papers). Daigee Shaw is often cited by papers focused on Economic and Environmental Valuation (11 papers), Climate Change Policy and Economics (10 papers) and Water resources management and optimization (7 papers). Daigee Shaw collaborates with scholars based in Taiwan, United States and China. Daigee Shaw's co-authors include Ming‐Chou Ho, Ming-Feng Hung, Robert Mendelsohn, William D. Nordhaus, Tsu‐Tan Fu, Pei‐Shan Liao, Cliff J. Huang, Anna Alberini, Maureen Cropper and Jin‐Tan Liu and has published in prestigious journals such as Bioresource Technology, Journal of Cleaner Production and Energy Policy.

In The Last Decade

Daigee Shaw

46 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daigee Shaw Taiwan 19 772 539 421 238 199 50 2.0k
Narasimha D. Rao Austria 35 1.0k 1.3× 483 0.9× 435 1.0× 129 0.5× 417 2.1× 87 4.0k
Kevin Anderson United Kingdom 27 1.1k 1.4× 686 1.3× 1.2k 3.0× 83 0.3× 266 1.3× 72 3.3k
Abul Quasem Al‐Amin Malaysia 30 607 0.8× 402 0.7× 422 1.0× 60 0.3× 371 1.9× 130 2.8k
Mark Wang Australia 30 378 0.5× 807 1.5× 493 1.2× 316 1.3× 154 0.8× 108 3.1k
Daniel R. Petrolia United States 22 663 0.9× 309 0.6× 621 1.5× 106 0.4× 216 1.1× 81 1.5k
Samir KC Austria 12 499 0.6× 370 0.7× 453 1.1× 74 0.3× 162 0.8× 23 2.1k
Gisbert Glaser Australia 6 342 0.4× 266 0.5× 549 1.3× 67 0.3× 437 2.2× 14 2.2k
Jim Skea United Kingdom 21 607 0.8× 416 0.8× 729 1.7× 43 0.2× 242 1.2× 79 2.9k
John Rolfe Australia 35 2.1k 2.8× 628 1.2× 1.1k 2.5× 257 1.1× 969 4.9× 203 4.0k
W. Douglass Shaw United States 25 1.3k 1.6× 356 0.7× 259 0.6× 233 1.0× 223 1.1× 85 1.9k

Countries citing papers authored by Daigee Shaw

Since Specialization
Citations

This map shows the geographic impact of Daigee Shaw's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daigee Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daigee Shaw more than expected).

Fields of papers citing papers by Daigee Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daigee Shaw. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daigee Shaw. The network helps show where Daigee Shaw may publish in the future.

Co-authorship network of co-authors of Daigee Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Daigee Shaw. A scholar is included among the top collaborators of Daigee Shaw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daigee Shaw. Daigee Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liao, Pei‐Shan, et al.. (2025). Exploring the link between subjective well-being, nature enjoyment, and physical contact with nature. Journal of Environmental Psychology. 104. 102617–102617.
2.
Shaw, Daigee, et al.. (2025). Does the future imagination treatment affect people’s pro-environmental intention and donation decisions?. Environment Development and Sustainability. 1 indexed citations
3.
Tvinnereim, Endre, et al.. (2020). Climate change risk perceptions and the problem of scale: evidence from cross-national survey experiments. Environmental Politics. 29(7). 1178–1198. 27 indexed citations
4.
Liu, Xiaozi, Daigee Shaw, Trond Bjørndal, & Mikko Heino. (2020). The Day-to-Day Supply Responses of a Limited-Entry Mixed Fishery. Marine Resource Economics. 36(1). 71–90. 2 indexed citations
5.
Hung, Ming-Feng, et al.. (2019). Individuals’ intentions to mitigate air pollution: Vehicles, household appliances, and religious practices. Journal of Cleaner Production. 227. 566–577. 17 indexed citations
6.
Huang, Ju‐Chin, et al.. (2015). Valuing Environmental Resources through Demand for Related Commodities. American Journal of Agricultural Economics. 98(1). 231–253. 7 indexed citations
7.
Shie, Je‐Lueng, et al.. (2011). Energy life cycle assessment of rice straw bio-energy derived from potential gasification technologies. Bioresource Technology. 102(12). 6735–6741. 64 indexed citations
8.
Shaw, Daigee, et al.. (2011). The Impact of the Economic Crisis on East Asia: Policy Responses from Four Economies. Medical Entomology and Zoology. 1 indexed citations
9.
Shaw, Daigee, et al.. (2011). Optimal emission tax with pre-existing distortions. Environmental Economics and Policy Studies. 13(2). 79–88. 17 indexed citations
10.
Shaw, Daigee, et al.. (2009). Applying Water Quality Modeling to Regulating Land Development in a Watershed. Water Resources Management. 24(4). 629–640. 15 indexed citations
11.
Ho, Ming‐Chou, et al.. (2008). How Do Disaster Characteristics Influence Risk Perception?. Risk Analysis. 28(3). 635–643. 348 indexed citations
12.
Shie, Je‐Lueng, Ching‐Yuan Chang, Chiung-Fen Chang, et al.. (2008). Products and bioenergy from the pyrolysis of rice straw via radio frequency plasma and its kinetics. Bioresource Technology. 100(6). 2052–2061. 52 indexed citations
13.
Shaw, Daigee, et al.. (2008). ANALYZING SOCIAL VULNERABILITY FACTORS OF FLOOD DISASTER IN TAIWAN. 1 indexed citations
14.
Shaw, Daigee, et al.. (2005). Managing Conflict In Facility Siting: an international comparison. ResearchOnline at James Cook University (James Cook University). 25 indexed citations
15.
Chen, Ho‐Wen, Ni-Bin Chang, & Daigee Shaw. (2005). Valuation of in-stream water quality improvement via fuzzy contingent valuation method. Stochastic Environmental Research and Risk Assessment. 19(2). 158–171. 15 indexed citations
16.
Huang, Cliff J., et al.. (2005). A general model of starting point bias in double-bounded dichotomous contingent valuation surveys. Journal of Environmental Economics and Management. 50(2). 362–377. 97 indexed citations
17.
Alberini, Anna, Maureen Cropper, Tsu‐Tan Fu, et al.. (1997). Valuing Health Effects of Air Pollution in Developing Countries: The Case of Taiwan. Journal of Environmental Economics and Management. 34(2). 107–126. 171 indexed citations
18.
Mendelsohn, Robert & Daigee Shaw. (1996). The Economics of Pollution Control in the Asia Pacific. Edward Elgar Publishing eBooks. 17 indexed citations
19.
Shaw, Daigee, et al.. (1991). The resistibility and shiftability of depletable externalities. Journal of Environmental Economics and Management. 20(3). 224–233. 7 indexed citations
20.
Shaw, Daigee, et al.. (1985). Three essays in the economics of recreation demand. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

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