Productivity Growth, Technology Progress, And Efficiency Change in Chinese Agricultural Production From 1984 to 1993

Mao, Weining; Koo, Won W.

doi:10.2139/ssrn.15076

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…Due to it features and merits, a lot of literatures have used the Malmquist productivity indexes in DEA. A few of those studies are Fare, Grosskopf, Norris & Zhang (1994) which used this model to analyse the productivity comparison between countries, while Tauer & Lordkipanidze (1999) and Koo & Mao (1996) used this approach to examine economic sectors such as agricultural sector. (Alam & Sickles, 1997) used this approach to examine productivity efficiency of airlines.…”

Section: Data Envelopment Analysismentioning

confidence: 99%

Malaysian Islamic Banks’ Efficiency: An Intra-Bank Comparative Analysis of Islamic Windows and Full-Fledged Subsidiaries

Salami¹,

Adeyemi²

2017

IJBS

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This paper aims to fill an apparent dearth of empirical studies that compare the efficiency of Islamic banks in Malaysia during their operation as Islamic windows and later transformation to full-fledged Islamic banks. Data obtained from the annual financial reports of the sampled banks is analyzed using the Data Envelopment Analysis (DEA) via DEAP 2.1 software to assess both the technical and scale efficiency of the banks under sample. Results obtained indicate that the banks have improved over the years in terms of both scale and technical efficiency although the former takes prominence. In general, the banks were found to be more efficient as Islamic windows compared to being full-fledged subsidiaries. This augurs well for the current disposition where, as per the Islamic Financial Service Act 2013, Islamic banks in Malaysia may now operate as full-fledged banks from their hitherto Islamic banking window status.Keywords: Scale Efficiency; Technical Efficiency; Islamic Window; Full-Fledged Banks.

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Section: Data Envelopment Analysismentioning

confidence: 99%

Malaysian Islamic Banks’ Efficiency: An Intra-Bank Comparative Analysis of Islamic Windows and Full-Fledged Subsidiaries

Salami¹,

Adeyemi²

2017

IJBS

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“…To address this, the paper employs a dynamic analysis, using DSBM and TFAE to analyze China's food production issues, and provides some recommendations for China's agricultural policies. To gather the literature related to agricultural production efficiency, productivity changes, and other relevant studies, the following steps were taken: Previous studies have found that important factors affecting agricultural productivity in Asian countries include scientific and technological progress [1][2][3][4][5], taxation [6], and capital investment [7]. The main factors affecting agricultural efficiency include machinery and fertilizer inputs [6,[8][9][10][11][12], energy use [8][9][10][11][12][13][14][15][16], irrigation infrastructure [16,17], agricultural machinery [18], and pesticides [19].…”

Section: Introductionmentioning

confidence: 99%

Agricultural Efficiency in Different Regions of China: An Empirical Analysis Based on Dynamic SBM-DEA Model

et al. 2023

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This study applies the dynamic slacks-based measure (DSBM) and the total-factor agricultural efficiency (TFAE) to explore the overall agricultural production efficiency of 30 administrative regions and the eastern, central, and western regions of China from 2012 to 2016. The previous literature has mainly focused on China’s economic development and experience, but as the economy continues to grow, more food is needed and agricultural labor is shifting to urban areas. Little attention has been paid to the impact of limited agricultural land on agricultural production efficiency. Therefore, this paper uses the agricultural land area as the carry-over variable and uses agricultural labor, total agricultural machinery power, rural electricity consumption, agricultural fertilizer use, and agricultural GDP as variables to discuss the efficiency of agricultural production in different regions. The empirical results show that from 2012 to 2016, the best administrative region in terms of overall agricultural production efficiency in China was the east. In terms of the overall analysis of the region, the east had the highest overall agricultural production efficiency, while the central region had the lowest. The input variable that needed the most improvement was rural electricity consumption, with the largest adjustment in rural electricity consumption being observed in Hebei and Liaoning provinces of the eastern region. Furthermore, from 2012 to 2016, both overall agricultural production efficiency and agricultural GDP showed upward trends. However, adjustments are still needed for other relevant agricultural input variables to effectively allocate resources and improve the overall agricultural production efficiency.

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Spatio-Temporal Evolution and Regional Difference Analysis of China’s Agricultural Technology Progress Under Two-Way Output

Liang

2020

Proceedings of the Fourteenth International Conference on Management Science and Engineering Management

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Productivity Growth, Technology Progress, And Efficiency Change in Chinese Agricultural Production From 1984 to 1993

Cited by 3 publications

References 18 publications

Malaysian Islamic Banks’ Efficiency: An Intra-Bank Comparative Analysis of Islamic Windows and Full-Fledged Subsidiaries

Malaysian Islamic Banks’ Efficiency: An Intra-Bank Comparative Analysis of Islamic Windows and Full-Fledged Subsidiaries

Agricultural Efficiency in Different Regions of China: An Empirical Analysis Based on Dynamic SBM-DEA Model

Spatio-Temporal Evolution and Regional Difference Analysis of China’s Agricultural Technology Progress Under Two-Way Output

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