Balancing Acts: Unveiling the Dynamics of Revitalization Policies in China’s Old Revolutionary Areas of Gannan

A series of revitalization policies (RPs) have been implemented in China’s Old Revolutionary Areas (ORAs). Evaluating the impact of these RPs is of paramount importance for refining policy design and achieving the goal of common prosperity. This study focuses on the ORAs in Gannan (ORAG) and employs...

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Main Authors: Wenmei Liao, Ruolan Yuan, Xu Zhang, Na Li, Hailan Qiu
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/14/3/354
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author Wenmei Liao
Ruolan Yuan
Xu Zhang
Na Li
Hailan Qiu
author_facet Wenmei Liao
Ruolan Yuan
Xu Zhang
Na Li
Hailan Qiu
author_sort Wenmei Liao
collection DOAJ
description A series of revitalization policies (RPs) have been implemented in China’s Old Revolutionary Areas (ORAs). Evaluating the impact of these RPs is of paramount importance for refining policy design and achieving the goal of common prosperity. This study focuses on the ORAs in Gannan (ORAG) and employs the Propensity Score Matching Difference-in-Differences (PSM-DID) method to assess the effects of the RPs from two perspectives: stimulating economic growth and increasing farmers’ income, utilizing county-level data spanning from 2006 to 2019. The findings of this study reveal that while the RP restrains the growth of per capita GDP in ORAG, it significantly promotes the growth of farmers’ income. Moreover, it plays a crucial role in reducing the income gap between ORAG and Jiangxi Province, thus promoting the common prosperity of farmers in ORAG. A detailed examination using quantile regression shows that the RP has a significant and consistent negative impact on GDP per capita GDP at different quantile points. At the same time, it has a significant positive effect on increasing farmers’ income at the 25% quantile point, effectively reducing income inequality among farmers at all quantile levels. The mechanism analysis shows that the RP has stimulated increased government investment in ORAG, leading to an increase in farmers’ incomes and a reduction in income disparities. However, the study also highlights the existence of a “policy trap” that has hindered the RP’s effectiveness in ORAG. Drawing upon these findings, this paper offers policy recommendations to enhance the impact of RP in ORAs.
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spelling doaj.art-96724d8d537a4d5baa899c00b5dd56372024-03-27T13:15:50ZengMDPI AGAgriculture2077-04722024-02-0114335410.3390/agriculture14030354Balancing Acts: Unveiling the Dynamics of Revitalization Policies in China’s Old Revolutionary Areas of GannanWenmei Liao0Ruolan Yuan1Xu Zhang2Na Li3Hailan Qiu4School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, ChinaSchool of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, ChinaSchool of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, ChinaSchool of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, ChinaSchool of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, ChinaA series of revitalization policies (RPs) have been implemented in China’s Old Revolutionary Areas (ORAs). Evaluating the impact of these RPs is of paramount importance for refining policy design and achieving the goal of common prosperity. This study focuses on the ORAs in Gannan (ORAG) and employs the Propensity Score Matching Difference-in-Differences (PSM-DID) method to assess the effects of the RPs from two perspectives: stimulating economic growth and increasing farmers’ income, utilizing county-level data spanning from 2006 to 2019. The findings of this study reveal that while the RP restrains the growth of per capita GDP in ORAG, it significantly promotes the growth of farmers’ income. Moreover, it plays a crucial role in reducing the income gap between ORAG and Jiangxi Province, thus promoting the common prosperity of farmers in ORAG. A detailed examination using quantile regression shows that the RP has a significant and consistent negative impact on GDP per capita GDP at different quantile points. At the same time, it has a significant positive effect on increasing farmers’ income at the 25% quantile point, effectively reducing income inequality among farmers at all quantile levels. The mechanism analysis shows that the RP has stimulated increased government investment in ORAG, leading to an increase in farmers’ incomes and a reduction in income disparities. However, the study also highlights the existence of a “policy trap” that has hindered the RP’s effectiveness in ORAG. Drawing upon these findings, this paper offers policy recommendations to enhance the impact of RP in ORAs.https://www.mdpi.com/2077-0472/14/3/354revitalization and development of old revolutionary areaspolicy effectsdifference-in-differences methodpropensity score matching
spellingShingle Wenmei Liao
Ruolan Yuan
Xu Zhang
Na Li
Hailan Qiu
Balancing Acts: Unveiling the Dynamics of Revitalization Policies in China’s Old Revolutionary Areas of Gannan
Agriculture
revitalization and development of old revolutionary areas
policy effects
difference-in-differences method
propensity score matching
title Balancing Acts: Unveiling the Dynamics of Revitalization Policies in China’s Old Revolutionary Areas of Gannan
title_full Balancing Acts: Unveiling the Dynamics of Revitalization Policies in China’s Old Revolutionary Areas of Gannan
title_fullStr Balancing Acts: Unveiling the Dynamics of Revitalization Policies in China’s Old Revolutionary Areas of Gannan
title_full_unstemmed Balancing Acts: Unveiling the Dynamics of Revitalization Policies in China’s Old Revolutionary Areas of Gannan
title_short Balancing Acts: Unveiling the Dynamics of Revitalization Policies in China’s Old Revolutionary Areas of Gannan
title_sort balancing acts unveiling the dynamics of revitalization policies in china s old revolutionary areas of gannan
topic revitalization and development of old revolutionary areas
policy effects
difference-in-differences method
propensity score matching
url https://www.mdpi.com/2077-0472/14/3/354
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