Growth, population and industrialization, and urban land expansion of China

Deng, Xiangzheng; Huang, Jing; Rozelle, Scott; Uchida, Emi

doi:10.1016/j.jue.2006.12.006

Cited by 490 publications

(336 citation statements)

References 22 publications

Supporting

Mentioning

309

Contrasting

Unclassified

Order By: Relevance

“…US-based evidence suggests that the variables of the Mills-Muth model, namely population, income, transport costs and agricultural rents, explain about 80% of the spatial variation in the urban city size (Paulsen, 2012). Results are similar in some European countries (Hortas-Rico, 2014;Oueslati et al, 2015;Pirotte and Madre, 2011) and in developing countries such as China (Deng et al, 2008;Song et al, 2014) and India (Brueckner and Sridhar, 2012).…”

Section: Introductionmentioning

confidence: 93%

A spatial econometric analysis of land use efficiency in large and small municipalities

2017

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 93%

A spatial econometric analysis of land use efficiency in large and small municipalities

2017

View full text Add to dashboard Cite

show abstract

“…2 Land use right reform in China has proceeded at varying speeds across provinces Deng et al (2008), while Chinese urbanization and broader demographic dynamics are constrained by the hukou system. Since 1958, this household registration system has tightly controlled how many rural workers move into urban areas, and workers outside of their authorized area could not access government-or employer-issued rations, housing, or health care.…”

Section: Speci Cationsmentioning

confidence: 99%

“…A growing literature has examined China's urbanization processes and the policies that regulate them (Lichtenberg and Ding, 2008;Ding and Lichtenberg, 2011). Deng et al (2008) test and con rm classic predictions from urban economic theory about what drives the spatial structure of urban growth, including the role of agricultural land value.…”

mentioning

confidence: 95%

See 1 more Smart Citation

Geographic determinants of China's urbanization

Christensen

McCord

2016

Regional Science and Urban Economics

View full text Add to dashboard Cite

This study exploits a unique set of satellite and other spatially explicit data to examine the role of three exogenous geographic factors in shaping and constraining urbanization: biophysical land suitability for agriculture, distance to major ports and terrain slope. The setting is China in the 1990's, the most expansive process of urban growth in history. Our empirical results suggest that these geographical factors explain nearly half of the variation in urbanization levels. However, controlling for long-run levels, we nd a weakly negative relationship between agricultural land suitability and urban expansion from 1990-2000, which is consistent with the theoretical expectations that rising opportunity costs a ect the development of fertile lands. We examine heterogeneity in the e ects of geography using interactions with province xed e ects and, even more exibly, with a localized regression technique (geographically weighted regression). Our results indicate that agricultural land suitability has opposing e ects in di erent regions, for example leading to increased urban expansion in the Pearl River Delta and restricting urban expansion along the northern coast. These results should caution scholars against assuming homogeneous e ects of physical geography across regions when doing empirical analysis of urban dynamics.

show abstract

“…In contrast, Schady (2002) (Liu et al, 2003a and2003b). These data have previously been used by Deng et al (2002Deng et al ( , 2003Deng et al ( and 2008.…”

Section: Datamentioning

confidence: 99%

Mapping poverty in rural China: how much does the environment matter?

Olivia¹,

Gibson²,

Rozelle³

et al. 2011

Envir. Dev. Econ.

Self Cite

View full text Add to dashboard Cite

In this paper, we apply a recently developed small-area estimation technique to derive geographically detailed estimates of consumption-based poverty and inequality in rural Shaanxi, China. We also investigate whether using environmental variables derived mainly from satellite remote sensing improves upon traditional approaches that only use household survey and census data. According to our results, ignoring environmental variables in statistical analyses that predict small-area poverty rates leads to targeting errors. In other words, using environmental variables both helps more accurately identify poor areas (so they should be able to receive more transfers of poor area funds) and identify non-poor areas (which would allow policy makers to reduce poverty funds in these better off areas and redirect them to poor areas). Using area-based targeting may be an efficient way to reach the poor since many counties and townships in rural Shaanxi have low levels of inequality, even though, on average, there is more within-group than between-group inequality. Using information on locations that are, in fact, receiving poverty assistance, our analysis also produces evidence that official poverty policy in Shaanxi targets particular areas which in reality are no poorer than other areas that do not get targeted. KeywordsChina environment poverty small area estimation JEL Classification O15, O53, P36, Q56 AcknowledgementsWe are grateful to

show abstract

Growth, population and industrialization, and urban land expansion of China

Cited by 490 publications

References 22 publications

A spatial econometric analysis of land use efficiency in large and small municipalities

A spatial econometric analysis of land use efficiency in large and small municipalities

Geographic determinants of China's urbanization

Mapping poverty in rural China: how much does the environment matter?

Contact Info

Product

Resources

About