The pattern of growth and poverty reduction in China

By Jose G. Montalvo, M. Ravallion. 2009

282 citations recorded by the source corpus.

China has seen a huge reduction in the incidence of extreme poverty since the economic reforms that started in the late 1970s. Yet, the growth process has been highly uneven across sectors and regions. The paper tests whether the pattern of China´s growth mattered to poverty reduction using a new provincial panel data set constructed for this purpose. The econometric tests support the view that the primary sector (mainly agriculture) has been the main driving force in poverty reduction over the period since 1980. It was the sectoral unevenness in the growth process, rather than its geographic unevenness, that handicapped poverty reduction. Yes, China has had great success in reducing poverty through economic growth, but this happened despite the unevenness in its sectoral pattern of growth. The idea of a trade-off between these sectors in terms of overall progress against poverty in China turns out to be a moot point, given how little evidence there is of any poverty impact of non-primary sector growth, controlling for primary-sector growth. While the non-primary sectors were key drivers of aggregate growth, it was the primary sector that did the heavy lifting against poverty.

Subfields: Economics and Econometrics, Safety Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/2c058a0290d889419acf65ea092e8f25f78a2ba6

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

  1. Yang Zhou
  2. Yan-sui Liu
  3. Jilai Liu
  4. Dalila Cervantes-Godoy
  5. M. Ravallion
  6. J. Dewbre
  7. Stefan Dercon
  8. Stephan Klasen

In Safety Research

  1. Yan-sui Liu
  2. Yang Zhou
  3. Dalila Cervantes-Godoy
  4. J. Dewbre
  5. M. Ravallion
  6. E. Thorbecke
  7. Stefan Dercon
  8. P. Segal

In Sociology and Political Science

  1. Yan-sui Liu
  2. Yang Zhou
  3. Jilai Liu
  4. Dalila Cervantes-Godoy
  5. J. Dewbre
  6. M. Ravallion
  7. Stefan Dercon
  8. Stephan Klasen

Citations in the corpus