The effects of telephone infrastructure on farmers' agricultural outputs in China

Rahman, Mohammad Mafizur; Mamun, Shamsul Arifeen Khan

doi:10.1016/j.infoecopol.2017.06.005

Cited by 10 publications

(6 citation statements)

References 27 publications

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“…Our paper also contributes to the recent literature on the effect of information technologies on agricultural production in China and other countries (Rahman and Mamun, 2017;Guo et al, 2018;Ma et al, 2020;Parlasca et al, 2020). Our article builds and extends on the literature on the productivity effects of the Internet in the agricultural sector, which complement the manufacturing sector's Internet effects.…”

Section: Introductionmentioning

confidence: 69%

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Internet access and irrigation adoption in China

Wang

Zhang

2022

CAER

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PurposeThis study aims to examine the effect of the Internet on irrigation system adoption. The authors implement the most extensive household survey of irrigation arrangements ever conducted in rural China and also exploit a public program to improve the quality of distance education in rural middle schools, which has led to plausibly exogenous variation in Internet access across rural districts.Design/methodology/approachThe authors present a conceptual framework highlighting the transmission mechanisms whereby Internet access may affect irrigation system selection and identify direct effects through agricultural production and an indirect effect through non-agricultural production. To examine the effect of the Internet on irrigation system adoption, we implement the most extensive household survey of irrigation arrangements ever conducted in rural China. We also exploit a public program to improve the quality of distance education in rural middle schools, which has led to plausibly exogenous variation in Internet access across rural districts.FindingsThe authors find evidence to suggest that Internet access can effectively reduce information frictions and searching costs in the non-agricultural labor market, thus increasing rural households' participation in non-farm work. To save more hours from agricultural production, rural households select more labor-saving irrigation systems.Originality/valueThis study’s findings have important implications for the ongoing policy debate over government investment in Internet infrastructure to improve agricultural development in rural and isolated areas.

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Section: Introductionmentioning

confidence: 69%

Section: Introductionmentioning

confidence: 71%

Internet access and irrigation adoption in China

Wang

Zhang

2022

CAER

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“…In 2017, Rahman et al used C-D production function to estimate the impact of telecommunication facilities on China's total agricultural output value. Among them, the OECs of agricultural labor, agricultural equipment, agricultural survey expenses and other input factors were negative [22]. In 2018, Abdul Rahim et al used C-D production function to estimate the impact of soil erosion on farmers' disposable income and rural economic growth in China from 2003 to 2012, in which the OECs of land and labor were -0.3997 and -0.2184 respectively [23].…”

Section: ) the Oecs Obtained By Regression May Be Negativementioning

confidence: 99%

A Method for Estimating Output Elasticity of Input Factors in Cobb-Douglas Production Function and Measuring Agricultural Technological Progress

et al. 2021

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When using the Cobb-Douglas (C-D) production function to measure the contribution rate of agricultural technological progress (ATP), it is necessary to estimate the output elasticity coefficient (OEC) of each input factor in C-D production function. For this purpose, it is usually necessary to take logarithm at both sides of C-D production function and convert it into a linear function, and then use regression analysis method to estimate the OECs of input factors. However, there are some problems in this method remains unsolved: first, the OECs estimated by taking logarithm of C-D production function are not the optimal estimation of the original C-D production function; second, the regression results sometimes fail to pass statistical test; third, some OECs cannot be guaranteed to be non-negative. Aiming at resolving these problems, a method for estimating OECs in C-D production function based on the Hybrid Improved Bat Optimization Algorithm (HIBA) was proposed. This method solves the problems existing in the OEC estimation methods in the existing literatures. To verify the effectiveness of the proposed method in this study, the OECs of input factors in China' Sichuan Province from 1996 to 2018 was estimated. The estimation results show that, compared with other estimation methods in the existing literatures, the proposed method can not only guarantee that it is the optimal estimation of the OECs in the original C-D production function, but also ensure that the OECs are non-negative and with high precision and good fitting effect. Finally, based on the estimation results, this study measured and analyzed the contribution rate of agricultural input factors and ATP of Sichuan Province and puts forward corresponding suggestions for the agricultural development in this region. INDEX TERMS Cobb-Douglas production function, output elasticity, contribution rate of agricultural technological progress, hybrid improved bat optimization algorithmThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.

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“…The allocation of human capital encompasses enhancing the vocational and technical proficiency of farmers and promoting scholars to advance the research and development of agricultural technology [8,9]. In addition, the physical capital includes accelerating the construction of agricultural infrastructure and improving the productive utilization of agricultural machinery [10][11][12]. Secondly, from the viewpoint of technical services, the supply of resources such as agricultural machinery socialization services, rural inclusive financial services and non-farm employment services for farm households can enhance the ALP [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Can Migrant Workers Returning Home for Entrepreneurship Increase Agricultural Labor Productivity: Evidence from a Quasi-Natural Experiment in China

Shen,

Wang

2024

Agriculture

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One of the effective ways to crack the “Three Rural Issues” and promote rural revitalization is to improve agricultural labor productivity (ALP). However, at this stage, improving China’s ALP is still facing many obstacles and bottlenecks. Promoting migrant workers returning home for entrepreneurship is an important breakthrough point for solving this problem. This paper regards the pilot policy of migrant workers returning home for entrepreneurship as a quasi-natural experiment and empirically investigates the influence of migrant workers returning home for entrepreneurship on ALP and explores its potential mechanism and heterogeneity using county area panel data from 2011–2019. It found the following: Firstly, the policy of migrant workers returning home for entrepreneurship significantly increases ALP. Secondly, migrant workers returning home for entrepreneurship indirectly leads to a rise in ALP through the promotion of agricultural mechanization production. Thirdly, the heterogeneity test demonstrates that migrant workers returning home for entrepreneurship purposes have a significant influence in enhancing ALP in the eastern areas, plains areas and non-agricultural strong areas. The findings of this paper not only provide an important real-world basis for the government to further support migrant workers returning home for entrepreneurship but also provide useful policy insights for the modernization and development of agriculture and rural areas.

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The effects of telephone infrastructure on farmers' agricultural outputs in China

Cited by 10 publications

References 27 publications

Internet access and irrigation adoption in China

Internet access and irrigation adoption in China

A Method for Estimating Output Elasticity of Input Factors in Cobb-Douglas Production Function and Measuring Agricultural Technological Progress

Can Migrant Workers Returning Home for Entrepreneurship Increase Agricultural Labor Productivity: Evidence from a Quasi-Natural Experiment in China

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