Are the Changes in China’s Grain Production Sustainable: Extensive and Intensive Development by the LMDI Approach

Li, Tianxiang; Baležentis, Tomas; Cao, Lijuan; Zhu, Jieming; Kriščiukaitienė, Irena; Melnikienė, Rasa

doi:10.3390/su8121198

Cited by 18 publications

(9 citation statements)

References 38 publications

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“…The LMDI can eliminate the residual and "0" value in the decomposition process and improve the accuracy of the analysis [36]. It has been used in analyzing grain production driving factors and their contribution [37][38][39][40].…”

Section: Quantifying Factor Contribution To Food Securitymentioning

confidence: 99%

A Comparative Analysis on Food Security in Bangladesh, India and Myanmar

Chen

2018

Sustainability

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Abstract:In 2013, China proposed the Bangladesh-China-India-Myanmar Economic Corridor initiatives to enhance the economic cooperation between Bangladesh, India, and Myanmar. To serve the priority setting of agricultural cooperation in the initiatives, an analysis is necessary to understand the food security situation and its key influencing factors in the three countries. For this purpose, this study applied a food security index (FSI) to measure the food security level at state scale and analyze its changes in the three countries during 1990-2013. Further, a factor decomposition method was used to quantify the contribution of major factors to the FSI changes. The results showed that the food demand was generally secured in Myanmar and India during 1990-2013 but in shortage by around 10% in most years before 2008 in Bangladesh. The annual FSI values showed a rather obvious periodic variation and a slightly increasing trend during the whole period. Although the grain production in the three countries increased significantly, the FSI was not accordingly improved, as a result of the simultaneous increase of grain consumption. In Bangladesh and India, the grain production increase was mainly driven by the improvement of crop yield, while the grain consumption increase was mainly caused by the population growth. In Myanmar, the production increase was largely caused by the expansion of cropping area, and the consumption growth was mainly due to the increased grain requirement per capita. To meet the increasing food demand in the future, it is essential to improve the irrigation and drainage systems and crop management to increase the land use efficiency and crop yield. In addition, the adaptation of appropriate policy for family planning could be important to slow down the quick population growth and thus the food demand.

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Section: Quantifying Factor Contribution To Food Securitymentioning

confidence: 99%

A Comparative Analysis on Food Security in Bangladesh, India and Myanmar

Chen

2018

Sustainability

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“…Feder (2018) provided a measurement method of TFP considering the change in bias technology: Specifically when the productivity of lower (or higher) cost factors increases, the bias factor's productivity component increases (or decreases). Li et al (2016) and Li, Yu, Baležentis, Zhu, and Ji (2017) use LMDI to measure China's productivity, and Miao et al (2018Miao et al ( , 2019 combine DEA with Luenberger indicators to measure environmental production technology and environmental performance.…”

Section: Introductionmentioning

confidence: 99%

Total factor productivity and the factors of green industry in Shanxi Province, China

Song

2019

Growth and Change

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Based on industrial panel data from 11 prefecture‐level cities in Shanxi Province from 2008 to 2016, two kinds of total factor productivity (TFP) are measured: With and without the consideration of environmental factors. The specific decomposition of TFP under these two conditions is then discussed. Finally, the factors of TFP are studied in a green industry context. The results indicate the following: (a) The TFP's annual growth rate considering environmental conditions is higher than that without such consideration; (b) if environmental factors are neglected, TFP improvements primarily depend on technological progress; (c) when considering environmental factors, both technological progress and improved technological efficiency promote the growth of green TFP (GTFP), but this still primarily depends on substantial technological progress, with an annual average growth rate that reaches 10.2%; and (d) among factors, the economic development level, degree of openness, and urbanization positively correlate with the GTFP, while the industrial structure and degree of informatization significantly and negatively correlate with GTFP.

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“…Environmental pollution received increasing attention. According to China’s 12 th Five-Year Plan, China's fertilizer orientation changed from “promoting development” to “promoting regulation”, and this change focused on improving the utilization rate of fertilizer [ 6 ]. The SE decreased slightly.…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, all crop SE values changed from positive to negative, and this change represented a switch from promoting FU to reducing the use of fertilizer during the period from 2015 to 2017, ultimately causing a sharp decline in the SE. The reason for this reversal was that the demand for scale was no longer sufficient to meet agricultural production [ 27 , 6 ]. As shown in Fig 3 , controlling the sowing scale and improving the FU efficiency is the correct solution to reduce the amount of fertilizer [ 46 , 47 ].…”

Section: Resultsmentioning

confidence: 99%

“…With an annual growth rate of 3.6%, China's food production increased from 43,069.5 million tons in 2003 to 66,060.3 million tons in 2015 and has successfully achieved 12 years of continuous growth [ 5 ]. The remarkable accomplishment of China's food production is mainly attributed to the abundant input of fertilizer [ 6 , 7 ]. According to the data of the China Statistical Bureau, fertilizer use (FU) in China increased from 44.116 million tons in 2003 to 60.226 million tons in 2015, which accounted for more than one-third of the world's total amount ( Fig 1 ).…”

Section: Introductionmentioning

confidence: 99%

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Will China's fertilizer use continue to decline? Evidence from LMDI analysis based on crops, regions and fertilizer types

Liu

Yin

2020

PLoS ONE

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China implemented the Action Plan for the Zero Increase of Fertilizer Use in 2015, which led to a decrease in fertilizer use. However, Will fertilizer use continue to reduce? With data obtained from 2006 to 2017, the paper used the logarithmic mean Divisia index (LMDI) method to analyze the scale effect, intensity effect and structural effect of fertilizer use change in China from three aspects: crops, regions and fertilizer types. Our finding suggests that (1) The intensity effect was the most critical factor affecting the decline in fertilizer use in China. (2) The sowing scale and fertilization intensity of grain, vegetables and fruits had the most significant driving effect on fertilizer reduction. (3) The three effects of each region were different in space, and the eastern region contributed most to the fertilizer decrement. (4) Nitrogen fertilizer and compound fertilizer had the most considerable influence on fertilizer reduction, especially in the sowing scale and fertilization intensity since 2009. The government should establish a fertilizer reduction management system, which includes scale control, intensity reduction, structural adjustment and other measures.

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Are the Changes in China’s Grain Production Sustainable: Extensive and Intensive Development by the LMDI Approach

Cited by 18 publications

References 38 publications

A Comparative Analysis on Food Security in Bangladesh, India and Myanmar

A Comparative Analysis on Food Security in Bangladesh, India and Myanmar

Total factor productivity and the factors of green industry in Shanxi Province, China

Will China's fertilizer use continue to decline? Evidence from LMDI analysis based on crops, regions and fertilizer types

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