2022
DOI: 10.3390/land11071116
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The Impact of Transport Infrastructure on Rural Industrial Integration: Spatial Spillover Effects and Spatio-Temporal Heterogeneity

Abstract: Industry convergence is the future trend of industrial development in rural areas and is conducive to high-quality agriculture development. To explore the development dynamics of industry convergence. This paper selects data from 31 provincial administrative regions in China from 2009 to 2019. It uses the entropy power method to measure the development quality of rural industrial integration in China and empirically studies the impact of transportation infrastructure on rural industrial integration using a spa… Show more

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Cited by 17 publications
(17 citation statements)
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“…Males received greater health urban adaptation promotion than females. To test the possible influence of regional differences in China on the urban adaptation of REMs, the in-migration areas were divided according to the Midwest and the East [ 54 ], and the estimated coefficients of health variables did not pass the significance test in the East, while the health coefficients were significantly positive in the Midwest at the 10% level of significance ( p < 0.1). Therefore, the positive effect of health status on urban adaptation was greater for REMs in the Midwest than those in the East.…”
Section: Resultsmentioning
confidence: 99%
“…Males received greater health urban adaptation promotion than females. To test the possible influence of regional differences in China on the urban adaptation of REMs, the in-migration areas were divided according to the Midwest and the East [ 54 ], and the estimated coefficients of health variables did not pass the significance test in the East, while the health coefficients were significantly positive in the Midwest at the 10% level of significance ( p < 0.1). Therefore, the positive effect of health status on urban adaptation was greater for REMs in the Midwest than those in the East.…”
Section: Resultsmentioning
confidence: 99%
“…Many scholars have tested the influencing factors of high-quality agricultural development from different perspectives, for example, business environment [ 23 ], factor allocation [ 34 ], Ecological efficiency [ 24 ], market-oriented reform [ 35 ], agricultural digitalization [ 36 , 37 ], technological progress [ 33 ]. The method research of high-quality agricultural development generally adopts the location entropy index [ 38 40 ], panel vector autoregression (PVAR) model [ 23 , 34 , 40 ], Data envelopment analysis (DEA) [ 33 ], and SBM Undesired model [ 41 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Therefore, instrumental variables were selected in this section, and endogeneity was treated using two-stage least squares (2SLS) [47]. This paper chose the degree of farmers' knowledge about rural industrial integration as an instrumental variable for farmers' participation in the contract [48]. The structure of the chosen instrumental variables using the two-stage least squares (2SLS) test is shown in Table 5.…”
Section: Endogeneity Testmentioning
confidence: 99%