The Impact of the Urbanization Process on Agricultural Technical Efficiency in Northeast China

Zhao, Zhe; Peng, Pengyu; Zhang, Fan; Wang, Jiayin; Li, Hongxuan

doi:10.3390/su141912144

Cited by 13 publications

(7 citation statements)

References 52 publications

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“…Additionally, the coefficients for the impact of government expenditure on agriculture, forestry, and water affairs (gov), as well as road development level (road), on wheat TFP are positive and significant at the 10% level. Conversely, the coefficient for urbanization level (urban) on wheat TFP is negative (−0.21), aligning with prior analysis that urbanization leads to an agricultural brain drain and reduces arable land, thereby constraining wheat TFP growth [51].…”

Section: Regression Results and Analysissupporting

confidence: 77%

Decomposition and Driving Factors of Total Factor Productivity of Food Crops in the Yellow River Basin, China

Liu,

Li,

et al. 2024

Agriculture

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The urgency of enhancing agricultural productivity within the Yellow River Basin cannot be overstated, given its critical role in ensuring food security amidst the challenges posed by climate change, natural disasters, and the increasing demand for food crops. Utilizing panel data from nine provinces within the Yellow River Basin for the period 2001 to 2020, this study examines the temporal characteristics and spatial distribution of Total Factor Productivity (TFP) for key grain crops—namely wheat, corn, and soybean—through the application of the Malmquist index which can be decomposed through the DEA-Malmquist index methodology. The empirical results demonstrate that TFP growth rates for these crops have exhibited significant phase variations, with soybean recording the highest TFP growth rate in the basin. Additionally, this study underscores marked regional disparities in soybean productivity. TFP decomposition reveals that the primary drivers of TFP improvement across these crops are attributed to technical progress, with gains in overall technical efficiency largely due to scale efficiency enhancements, whereas pure technical efficiency has shown limited progress. Regional analysis indicates that Inner Mongolia leads in TFP growth for all crops, while Ningxia, Sichuan, and Shaanxi lag behind in wheat, corn, and soybean. Additionally, our analysis delineates natural disasters as a significant barrier to Total Factor Productivity (TFP), notably obstructing technological advancements in wheat cultivation. The investigation further reveals a positive relationship between regional per capita income and the growth of wheat TFP, in contrast to a negative relationship with the TFP growth of corn and soybeans. Moreover, investing in agriculture, forestry, water management, and road infrastructure supports the growth of wheat TFP, while urbanization levels pose constraints. Conclusively, an uptick in annual rural electricity usage, along with improved per capita postal and telecommunication services, exerts a favorable influence on TFP for corn and soybeans.

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Section: Regression Results and Analysissupporting

confidence: 77%

Decomposition and Driving Factors of Total Factor Productivity of Food Crops in the Yellow River Basin, China

Liu,

Li,

et al. 2024

Agriculture

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“…A number of studies argue in favor of a positive link between the rates of urbanization and aggregate productive efficiency. In the Chinese context, Zhao et al (2022) demonstrate that urbanization rates are positively linked to the levels of technical efficiency in the Chinese agriculture. Interesting insights are provided by Bannister and Stolp (1995), who find a positive association between the extent of industrialization and productive efficiency in the Mexican states.…”

Section: The Estimation Of Technical Efficiency Levels and Their Dete...mentioning

confidence: 98%

Linguistic clustering and aggregate productive efficiency in Indonesia

Repkine

2023

AEA

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Purpose The purpose of this study is to explore the link between aggregate production efficiency and the extent of linguistic clustering in Indonesia. Design/methodology/approach The author draws on the stochastic frontier model and applies it to the data on Indonesian provinces to compute the effects of various determinants on these provinces' aggregate production efficiency. The key determinant is the spatial index of linguistic clustering that the author believes has never been applied before in this context. Findings Linguistic clustering is an important determinant of aggregate production efficiency. Linguistic diversity is positively associated with productive efficiency if members of a specific linguistic group are not clustered beyond a certain level. Originality/value To the best of the author’s knowledge, this is the first study that links the spatial index of linguistic clustering (because of Massey and Danton) to production efficiency. In other words, the contribution of this study is to introduce a geographical dimension to the mainstream analysis of the association between ethnic diversity and economic performance.

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“…The urbanization of counties can lower the cost of agricultural production, boost labor and land productivity, and foster the HQDAE. Additionally, it helps to gather people with advanced knowledge and raise the level of regional human capital, promoting agricultural technology development and innovation by improving infrastructure conditions for technology development and manufacturing [ 52 ]. At the same time, urbanization in counties facilitates communication between urban and rural residents, leading to the introduction of urban management ideas, advanced production know-how, and experience into rural areas and the agricultural sector.…”

Section: Theoretical Analysis and Research Hypothesismentioning

confidence: 99%

Does county financial marketization promote high-quality development of agricultural economy?: Analysis of the mechanism of county urbanization

Liu,

Cui,

Feng

et al. 2024

PLoS ONE

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China’s agricultural economy has been hindered by insufficient accumulation of agricultural capital and credit constraints. It is worth investigating whether China’s county financial marketization reform policy can alleviate these constraints and promote high-quality development of the agricultural economy (HQDAE). This paper presents an empirical analysis of the impact of county financial marketization reform on the HQDAE, based on county panel data. The focus is on the mechanism of county urbanization in the above relationship. The results show that county financial marketization has a significant non-linear impact on the HQDAE. Specifically, it has a ’U-shaped’ impact on the overall growth of the agricultural economy and an inverted ’N-shaped’ impact on the quality improvement of the agricultural economy. Secondly, the relationship between county financial marketization and the HQDAE is influenced by a threshold effect based on the level of county urbanization. As the level of county urbanization increases, the promoting effect of county financial marketization on HQDAE also increases significantly. Additionally, county financial marketization helps to promote county urbanization and accelerate urban-rural integration, which in turn leads to HQDAE. The research in this paper suggests that county-level local governments should promote a differentiated county financial system. In the early stages of financial market-oriented reform, the government should enhance the capacity of financial services in rural areas through tax breaks, policy incentives, and other measures to prevent financial leakage from agriculture. In the later stages of financial marketization reform, the government should strengthen financial supervision to prevent financial resources from being diverted from industry to capital. Moreover, to achieve the HQDAE, it is necessary to promote county financial market-oriented reform and accelerate the construction of county urbanization. This will help break the dual economic structure of urban and rural areas and promote the flow of financial capital, technology, and human capital from county cities to rural areas.

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The Impact of the Urbanization Process on Agricultural Technical Efficiency in Northeast China

Cited by 13 publications

References 52 publications

Decomposition and Driving Factors of Total Factor Productivity of Food Crops in the Yellow River Basin, China

Decomposition and Driving Factors of Total Factor Productivity of Food Crops in the Yellow River Basin, China

Linguistic clustering and aggregate productive efficiency in Indonesia

Does county financial marketization promote high-quality development of agricultural economy?: Analysis of the mechanism of county urbanization

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