Explaining differences in sub-national patterns of clean technology transfer to China and India
Bibliographic Data
| ID | 12823767 |
|---|---|
| Authors | Patrick Bayer (0000-0003-4884-5873, corresponding author), Johannes Urpelainen (Columbia University), Alice Liang Xu (0000-0001-6735-3693, Harvard University) |
| Year | 2014 |
| Volume | 16 |
| Issue | 2 |
| Pages | 261-283 |
| Publication date | 2014-06-02 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Environmental Agreements Politics Law and Economics (JOURNAL) |
| Journal identifiers | ISSN: 1567-9764 • E-ISSN: 1573-1553 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s10784-014-9257-2 |
| OpenAlex | W2032482408 |
| Language | EN |
| Citations received | 5 |
| References cited | 37 |
Business · China · Clean Development Mechanism · Climate change · Development economics · Distribution (mathematics · Economic growth · Economics · Geography · Government (linguistics · Incentive · Industrialisation · International trade · Kyoto Protocol · Market economy · Natural resource economics · Political science · Sustainable development · Technology transfer · China's Socioeconomic Reforms and Governance · Energy, Environment, Economic Growth · Fiscal Policy and Economic Growth · Ecology
Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
Testing hypotheses about interaction terms in nonlinear models
Is the global carbon market working?
Interaction terms in logit and probit models
China Is Poorer Than We Thought, But No Less Successful In The Fight Against Poverty
Making Markets Work
Who uses the Clean Development Mechanism? An empirical analysis of projects in Chinese provinces
Dissipated energy
Technology transfer from TNCs to local suppliers in developing countries
Technology Acquisition and Innovation in the Developing World
Understanding Interaction Models
Making the Most of Statistical Analyses
Getting Ahead in the Communist Party
Policy Making in China
| Citations per year | 0.63 |
|---|---|
| Citation span | 2018 - 2026 (9) |
| Highly cited | No |