Agricultural Productivity Growth and the Role of Capital in South Asia (1980–2013)

Anik, Asif Reza; Rahman, Sanzidur; Sarker, Jaba Rani

doi:10.3390/su9030470

Cited by 68 publications

(60 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, in South Asia, the major drivers of agricultural TFP growth were the levels of natural, human and technology capital endowments. In contrast, financial capital and crop diversification had opposite effects on TFP (Anik et al 2017). On the other hand, the TFP growth in Czech depended rather on natural and weather conditions (Macheck and Spicka 2013).…”

Section: Discussionmentioning

confidence: 99%

Total Factor Productivity of Agricultural Firms in Vietnam and Its Relevant Determinants

et al. 2019

View full text Add to dashboard Cite

In Vietnam, agriculture is a key sector that promotes economic growth and poverty reduction. Therefore, improving productivity in agriculture is indispensable to the sustainability of the country. This research examined productivity and its determinants from 420 enterprises operating in agriculture. Productivity was measured as the total factor productivity (TFP) obtained from fixed and random effects models. The determinants of TFP including size and age, share of state and foreign ownership, export, accessibility to Internet and bank loan of firms, controlled for year fixed effects, were analyzed. It was shown that 74.6% companies in the agricultural sector were small in size (<10<200 employees). Although the number of large firms (>300 employees) explained 10.6%, they had a remarkable and positive TFP (38.8%, p < 0.01), while both small and very small (<10, and <200 employees, respectively) had strikingly negative TFP values (−71.3% and −32.1%, respectively, p < 0.01), as compared to the medium sizes (<200<300 employees). It was also revealed that although foreign ownership was only 3.8% on average, it had a notably positive effect on TFP (55.0%, p < 0.01). In contrast, state ownership accounted for 30.7%, but it had a negative influence on TFP (−7.5%). The export contributed a negligible and statistically significant effect to TFP (2.6%), which might be attributed to a limited number of firms (4.5%) having mobility in agricultural export. 73% received a bank loan, and only 18.2% had access to the Internet, but both of them yielded remarkable TFP values (18.5%, p < 0.01 and 3.4%, p < 0.05 respectively). The Hausman test indicated that the fixed effects (FE) model was more effective than the random effects (RE) model to estimate the TFP. The findings of this study suggested that reform efforts should focus on improving the productivity of small agricultural enterprises. In addition, foreign investment, effective use of bank loan and Internet accessibility should be further enhanced. The results of this study may provide insights for policymakers who aim to improve the productivity in agricultural enterprises and thereby contribute to the sustainable growth of the country.

show abstract

Section: Discussionmentioning

confidence: 99%

Total Factor Productivity of Agricultural Firms in Vietnam and Its Relevant Determinants

et al. 2019

View full text Add to dashboard Cite

show abstract

“…due to technological progress at 4.7% and declined in technical efficiency at 1.9%. Anik et al (2017) observed the positive TFP growth rate of Bangladesh with a similar growth pattern of residual scale and mix efficiency change but they experienced no change in technical scale and mix efficiency for the period of 1980-2013. Table 3 shows that the increase in TFP index has not been uniform and fluctuation has occurred from year to year.…”

Section: Ranking Of Regions With Regard To Tfp Growth After Correctiomentioning

confidence: 79%

Growth in Agricultural Productivity and Its Components in Bangladeshi Regions (1987–2009): An Application of Bootstrapped Data Envelopment Analysis (DEA)

2019

Self Cite

View full text Add to dashboard Cite

The present study applies a bootstrapped data envelopment analysis (DEA) procedure to compute bias-corrected measures of agricultural total factor productivity (TFP) change and its components (technical change and technical efficiency change) using a panel data of 19 regions of Bangladesh covering a 23-year period (1987–2009), thereby overcoming the limitation of the lack of statistical inference of the conventional non-parametric DEA. Results revealed that overall productivity grew at a modest rate of 0.03%, mainly powered by technological progress at 0.03% and a negligible decline in technical efficiency at 0.004% with large disparities amongst regions. Six regions in the middle order shifted ranks with regard to TFP change following bias correction. The estimated confidence intervals demonstrated that many regions underwent either progress or regress in productivity performance over time. Investments in research and development (R&D), agricultural extension, and crop diversification are suggested to improve regional inequality and declining technical efficiency.

show abstract

“…Additionally, research conducted by Kusnadi et al, (2016), Nwaru & Iheke (2010), and studies conducted by Yoko et al, (2017) states that land is an elastic variable in influencing rice production. Research conducted by Anik et al, (2017)The variable natural capital, labor, and technology is the main drivers in increasing the technical efficiency of rice production.…”

Section: Rice Production Frontiers In East Javamentioning

confidence: 99%

“…Certain relevant variables besides land that has a major impact on the technical efficiency of rice production based on research carried out by Anik et al, (2017) are the variables of natural resources, labor and technology. Another case with a study by Fuglie et al, (2017) notes that the key drivers of increased rice production are funding and development assistance from the government and the institutions concerned.…”

Section: Introductionmentioning

confidence: 99%

Technical Efficiency of Rice Production Using the Stochastic Frontier Analysis Approach: Case In East Java Province

Melati

Mayninda

2020

EKU

View full text Add to dashboard Cite

The aim of this study is to evaluate the efficiency of East Java rice production in 2018. This study uses a model for measuring the efficiency of stochastic frontier analysis (SFA). Empirical results of these findings indicate that the efficiency of rice production in East Java in 2018 was said to be very efficient in several districts and towns affected by the variable dry milled grain / GKG and irrigation variables, although there are still some districts and towns that cannot be said to be productive. Additionally, the explanatory variable of population growth affects the technical inefficiency of East Java rice production in 2018. Based on the results of this study's review, the practical implications for the government must continue to work to increase the scale and impact of efficiency on rice production, particularly on adding irrigated land to rice commodities, so that rice production can increase to the maximum and domestic food needs can be satisfied. Since the population of Indonesia continues to rise significantly, and rice is in fact a staple food for the people of Indonesia, rice production needs to be increased to ensure national social security. For this reason, it is necessary for the government to pay more attention to policies regarding the use and addition of paddy fields in order to keep optimum domestic rice production.

show abstract

Agricultural Productivity Growth and the Role of Capital in South Asia (1980–2013)

Cited by 68 publications

References 71 publications

Total Factor Productivity of Agricultural Firms in Vietnam and Its Relevant Determinants

Total Factor Productivity of Agricultural Firms in Vietnam and Its Relevant Determinants

Growth in Agricultural Productivity and Its Components in Bangladeshi Regions (1987–2009): An Application of Bootstrapped Data Envelopment Analysis (DEA)

Technical Efficiency of Rice Production Using the Stochastic Frontier Analysis Approach: Case In East Java Province

Contact Info

Product

Resources

About