22,760 rated or chosen profiles from 2,846 respondents, in up to 4 tasks of 2 profiles varying on 7 attributes.

About this table

Description	Chinese online respondents (two waves, 2014-2015; n=2,846) compared 4 pairs of hypothetical foreign direct investment projects (home country, industry, entry mode, job impact, amount, local concessions, wage), choosing one and rating support for each on a 7-point scale.
Reference	Li, X., & Zeng, K. (2017). Individual preferences for FDI in developing countries: Experimental evidence from China. Journal of Experimental Political Science, 4(3), 195-205.
DOI	10.1017/XPS.2017.15
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/DJTMJC

Notes

Conjoint table (irw_conjoint). choice = "Of these two projects, which one do you prefer?" (forced, no opt-out); rating = support for each project if your city were evaluating it, 1 = no support at all to 7 = complete support (English translation of the Chinese questionnaire). Levels are the Chinese text shown; attribute order randomized per task (attrpos_*). Waves 1 (Nov 2014) and 2 (Oct 2015) pooled with trial_wave as the authors do. Task and profile are inferred from the stacked file layout; 4 tasks with unsaved attribute text dropped; 2,846 respondents (2,224 + 622 as reported).

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Design

Topic	international economy
A profile represents	policy
Country	CN
Language shown	zh
Language of stored levels	zh
Task order	inferred from row order
Profile position	inferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choice	Of these two projects, which one do you prefer? (translated) [choice, forced]
rating	Suppose that your city is evaluating the two FDI projects above and is seeking your opinion. Please rate the two projects on a 7-point scale, with 7 equal to 'complete support' and 1 equal to 'no support at all.' (translated) [rating, 1 (no support at all) to 7 (complete support)]

Columns

attr_amountattr_concessionsattr_countryattr_entry_modeattr_industryattr_job_impactattr_wageattrpos_amountattrpos_concessionsattrpos_countryattrpos_entry_modeattrpos_industryattrpos_job_impactattrpos_wagechoicecov_age_group_codecov_ccpcov_coastalcov_collegecov_cylcov_foreign_firmcov_gendercov_hancov_incomecov_manufacturingcov_news_interestcov_private_firmcov_rural_hukoucov_servicecov_social_statuscov_soeidprofileratingtasktrial_wave

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("li_2017_fdi_china", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("li_2017_fdi_china", source="conj")

How to cite

@article{Li_2017, title={Individual Preferences for FDI in Developing Countries: Experimental Evidence from China}, volume={4}, ISSN={2052-2649}, url={http://dx.doi.org/10.1017/XPS.2017.15}, DOI={10.1017/xps.2017.15}, number={3}, journal={Journal of Experimental Political Science}, publisher={Cambridge University Press (CUP)}, author={Li, Xiaojun and Zeng, Ka}, year={2017}, pages={195–205} }

Respondents	2,846
Rows (one per respondent, task and profile)	22,760
Tasks per respondent (most)	4
Profiles per task	2
Attributes	7
Tasks with no profile chosen	0

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0

li_2017_fdi_china