Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Large-scale privatization did not emerge spontaneously in China in the late 1990s. Rather, the Chinese state led and carefully “planned” ownership transformation with timetables and measurable privatization quotas, not for the purpose of extracting the state from the economy, but in order to strengthen the rule of the Party. While it is widely believed that authoritarian regimes are better suited than democracies to carry out economic reform, this book provides a more nuanced understanding of reform in China, demonstrating that the Chinese state’s capacity to impose unpopular reform is contingent on its control over local state agents and its adaptability to societal demands.
Building on rich fieldwork data gathered in three Chinese cities (Shenyang, Shanghai, and Xiamen), this book offers the first comparative study of China’s privatization processes at the local level. Instead of focusing solely on political elites, Jin Zeng adopts a multi-level interaction approach to examine how the complex interplay of the central leadership, grassroots officials, and state-owned enterprise managers and workers shaped the contour of privatization in China.The book advances three central arguments. First, local economic structure and cadre evaluation system mediated local officials’ incentives to initiate privatization. Second, local officials relied on mobilization campaigns and various appeasement measures to implement privatization. Finally, the dynamics of privatization were fundamentally driven by the central government’s reactions to social opposition and by the subsequent responses of local officials to the changed political-regulatory environment.
As a detailed analysis of the dual transformation of the property regime and state–society relations in China, this book will be invaluable to students and scholars of Chinese politics, economic reform, as well as those interested in comparative political economy and economic development more broadly.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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