scispace - formally typeset
C

Connie Chan-Kang

Researcher at University of Minnesota

Publications -  38
Citations -  1919

Connie Chan-Kang is an academic researcher from University of Minnesota. The author has contributed to research in topics: Agriculture & Poverty. The author has an hindex of 15, co-authored 38 publications receiving 1755 citations. Previous affiliations of Connie Chan-Kang include International Food Policy Research Institute & CGIAR.

Papers
More filters
Book

A meta-analysis of rates of return to agricultural R&D : ex pede Herculem?

TL;DR: Pinstrup et al. as mentioned in this paper presented the first attempt to take a comprehensive look at all the available evidence on rates of return to investments in agricultural R&D since 1953, and the only attempt to do so in a formal statistical fashion.
Book

Road Development, Economic Growth, and Poverty Reduction in China:

TL;DR: In this article, the authors assess the impact of public infrastructure on growth and poverty reduction in China, paying a particular attention to the contribution of roads, and find that the benefits of roads on production and productivity are well recognized in the literature but some important gaps remain.
Journal ArticleDOI

Is small beautiful? Farm size, productivity, and poverty in Asian agriculture

TL;DR: In the 1970s and 1980s, as many Asian countries rapidly moved towards industrialization and urbanization, small farms were considered to be a major obstacle in this process.
Journal ArticleDOI

Regional road development, rural and urban poverty: Evidence from China

TL;DR: In this article, an econometric model that captures the different channels through which road investment impacts growth and poverty is developed and estimated using provincial-level data for 1982-1999 in China.
Journal ArticleDOI

Agricultural R&D is on the move.

TL;DR: Pardey et al. as discussed by the authors argue that big shifts in where research and development in food and agriculture are carried out will shape future global food production, write Philip G. Pardey and colleagues.