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A Micro-Geography of State Extractive Power: the Case of Rural China

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Abstract

This article argues that geography is essential to explain subnational variation in extractive power. To exercise power over the expanse of their realm, governments need an infrastructure to access even more peripheral communities. But as rulers overcome the problems of distance, they discover the challenges of proximity, because locals influence state agents and undermine state autonomy. Studying the uneven reach of Chinese local governments within their jurisdictions, we demonstrate that micro-variation of extraction in rural China, including monetary and non-monetary levies, provides a rare window onto the micro-geography of power. Physical distance still obstructs extractive power projection into extremely remote places, but physical proximity has become a greater constraint for the exercise of power. Local governments are pressured by their immediate neighborhood, at the expense of less fortunate citizens, who live at intermediate distances: still within the reach of the state, but already too far away to turn the state to their favor. The effect of organizational distance, which in China is mediated primarily through the Communist Party, is similarly dualistic: Party networks alleviate asymmetric information problems, which hamper rural taxation around the world, but party networks are sustained by patronage and therefore jeopardize state autonomy.

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Notes

  1. Notable exceptions include Alesina and Spolaore (2003).

  2. Guanyu 2002 Nian Jianqing Nongmin Fudan Gongzuo de Yijian (Opinion on the alleviating the peasant burden in 2002). Department of Agriculture et al., January 31, 2002.

  3. Zhongguo Gongchandang Nongcun Jiceng Zuzhi Gongzuo Tiaoli (Regulations for Village-Level Party Organizations of the CCP). Central Committee, February 13, 1999.

  4. The data sets with documentation are available from ICPSR, University of Michigan, www.icpsr.umich.edu, last checked in June 2016.

  5. See codebook DS7, CHIP data. The levy includes variables H1-615 (all subcategories), H1-617a, and H1-617b.

  6. This optimum is found by setting the derivative of the model with respect to distance to zero, solving for distance and transforming the result from kilometers to miles.

  7. Results would be different in a village where an average party member gains 13 times more than an average villager.

  8. See The China Youth Daily, February 2, 2013.

  9. See the circular dated April 17, 2012, “Opinion on better measures to lighten the peasant burden,” State Council Office Document 2012/22.

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Acknowledgments

We gratefully acknowledge support from (1) a JSPS Grant-in-Aid for Scientific Research (No. 24330083) and (2) the Research Unit for Statistical and Empirical Analysis in Social Sciences. We also would like to thank Martin K Dimitrov, Gustavo A Flores-Macías, Kyle A Jaros, Elizabeth J Perry, Daniel Ziblatt, and participants of a panel at the Annual Meeting of the American Political Science Association for their feedback.

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Koss, D., Sato, H. A Micro-Geography of State Extractive Power: the Case of Rural China. St Comp Int Dev 51, 389–410 (2016). https://doi.org/10.1007/s12116-016-9228-4

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