An Estimation of Total Factor Productivity and its Determinants among Peri-Urban Dairy Farms of Odisha

2020 ◽  
pp. 467-471
Keyword(s):  
Total Factor Productivity ◽  
Coastal Plain ◽  
Dairy Farms ◽  
Herd Size ◽  
Factor Productivity ◽  
Cross Sectional ◽  
Crossbred Cows ◽  
Large Farms ◽  
Productivity Ratio ◽  
Crossbred Cow

The study was conducted in East and South-eastern coastal plain zone of Odisha. Total factor productivity (TFP) in milk production and its determinants were estimated using cross-sectional data obtained from 120 sampled peri-urban dairy farms. The study revealed that TFP was highest for large farms (0.2801) and crossbred cows (0.1328) which meant increase in scale of production and adoption of crossbred cow would be helpful increasing productivity of dairy farms. Herd size and productivity ratio were found to be significantly affecting TFP. An increasing herd size by adopting a greater number of crossbred cows and a proper balanced nutrition would ultimately enhance the productivity of peri-urban dairy farms in Odisha.

scholarly journals TOTAL FACTOR PRODUCTIVITY AND FRONTIER PRODUCTION FUNCTION = PRODUKTIVITAS FAKTOR PRODUKSI TOTAL DAN FUNGSI PERODUKSI FRONTIER

Agro Ekonomi ◽  
2016 ◽  
Vol 24 (2) ◽  
pp. 2
Author(s):  
Sri Widodo
Keyword(s):  
Total Factor Productivity ◽  
Production Function ◽  
Productivity Growth ◽  
Factor Productivity ◽  
Single Factor ◽  
Cross Sectional ◽  
Potential Output ◽  
Total Productivity ◽  
Cross Sectional Studies ◽  
Frontier Production Function

The total factor productivity became an interesting concept in the measurement of productivity growth. Productivity is a ratio of output to input. The most common measurement of productivity is single factor productivity or partial productivity such as of land, labor, or capital.A total (factor) productivity is a productivity of all factors of production where the factors are aggregated. In cross-sectional studies this total productivity is a ratio of actual to potential output where the potential output is estimated from ther frontier production function. One of the methods to estimate this frontier function is by using linear programming technique.The total productivity does not always coincide with a single factor productivity of land (yield), that in the study area the larger farms tend to have higher total productivity than yield

Total Factor Productivity, Efficiency, and Technological Change in the European Regions: A Nonparametric Approach

2009 ◽  
Vol 41 (5) ◽  
pp. 1152-1170 ◽  
Author(s):  
Roberto Ezcurra ◽  
Belen Iraizoz ◽  
Pedro Pascual
Keyword(s):  
European Union ◽  
Technological Change ◽  
Total Factor Productivity ◽  
Malmquist Index ◽  
Geographical Location ◽  
The European Union ◽  
European Regions ◽  
Factor Productivity ◽  
Cross Sectional ◽  
Nonparametric Approach

This paper examines the global trend of total factor productivity, efficiency, and technological change in the European Union regions over the period 1986–2004, using the Malmquist index computed by data envelopment analysis. The results reveal the important role played by technical efficiency in explaining total factor productivity growth in the European Union. For this reason, in a second stage, we investigate existing regional disparities in efficiency levels across the European regions, using a nonparametric methodology that allows us to study the dynamics of the entire cross-sectional distribution. Estimates show the presence of a process of convergence in efficiency levels over the sample period, despite a relatively low degree of intradistribution mobility. In order to complete these results, factors such as the geographical location of the various regions, country-specific characteristics, or the sectoral composition of economic activity were examined for their role in explaining the observed disparities.

scholarly journals Total factor productivity (TFP) of productive resources used in homestead poultry broiler farms in Niger state of Nigeria

2019 ◽  
Vol 64 (1) ◽  
pp. 101-119
Author(s):  
Sadiq Sanusi ◽  
Singh Paul ◽  
Ahmad Muhammad ◽  
Lawal Muhammad
Keyword(s):  
Total Factor Productivity ◽  
Labour Force ◽  
Factor Productivity ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Multi Stage ◽  
Gender Status ◽  
Productive Labour ◽  
Management Techniques ◽  
Partnership Synergy

The present research measured the total factor productivity (TFP) of productive resources used in homestead poultry broiler farms in Niger State of Nigeria, using a structured questionnaire complemented with an interview schedule to collect cross-sectional data from a drawn sample size of 97 active broiler producers via the multi-stage sampling design. The data analyses were performed using descriptive and inferential statistics. Findings from the study showed evidence of a productive labour force in the enterprise, literate farming population with a sustainable household size typical of African agrarian settings. The enterprise was found to be profitable in the studied area. Furthermore, findings showed that more than half of the sampling population was productive in the utilisation of their input resources, which may be due to technical awareness of the modern poultry management techniques in the studied area. Thereafter, it was observed that gender status, experience, capital source and operational capital were the factors affecting TFP of the farmers. Therefore, the study recommends gender sensitisation and the need for public private partnership synergy to explore the untapped potentials in this sub-sector in the studied area as almost half of the farmers were found not to be productive in the utilisation of their resources.

scholarly journals Comparative economics of rural and periurban dairy farming in Kalaburagi district of Karnataka

2019 ◽  
Vol 11 (4) ◽  
pp. 762-767
Author(s):  
Vinayak Patil ◽  
B. S. Reddy ◽  
S. S. Patil ◽  
G. M. Hiremath
Keyword(s):  
Milk Production ◽  
Dairy Farms ◽  
Economic Indicator ◽  
Dairy Farming ◽  
Maintenance Cost ◽  
Fixed Cost ◽  
Crossbred Cows ◽  
Comparative Economics ◽  
The Cost ◽  
Crossbred Cow

Cost of milk production is an important economic indicator in assessing the farm household efficiency in milk production as well as basis for price fixation. The study was undertaken to analyse the cost and returns of milk production in rural and periurban dairy farms of Kalaburagi district of Karnataka. The per day maintenance cost in periurban dairy farms (` 150.64) was highest compared to rural dairy farms (` 91.29)for local cows, crossbred cows and buffaloes. Among total maintenance costs of periurban dairy farming, feed and fodder costs accounted major share (73.49%) followed by labour cost (15.53%) and total fixed cost (7.73%). The return per litre of milk was highest (` 8.91) for crossbred cows followed by buffalo (` 4.82) and local cows (` 0.14). The net return from crossbred cow was more than that of buffalo and local cows indicating higher profitability in rearing crossbred cow in the study area.

scholarly journals Climatic effects and total factor productivity: econometric evidence for Wisconsin dairy farms

2020 ◽  
Vol 47 (3) ◽  
pp. 1276-1301
Author(s):  
Eric Njuki ◽  
Boris E Bravo-Ureta ◽  
Víctor E Cabrera
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Climate Adaptation ◽  
Productivity Index ◽  
Factor Productivity ◽  
Stochastic Production Frontier ◽  
Climate Trends ◽  
Climatic Effects ◽  
Cross Sectional ◽  
Long Run

Abstract This study exploits temporal and cross-sectional variation in weather and long-run climate trends to investigate their effects on farm-level productivity. Using panel data for a sample of Wisconsin dairy producers, three stochastic production frontier models are estimated and a random parameters approach is chosen as the most desirable, which accounts for stochastic observed and unobserved environmental factors. The estimated coefficients are used to decompose a multiplicative total factor productivity index that accounts for different sources of productivity growth. Annual productivity growth is estimated at 2.16 per cent, driven primarily by technical progress (1.91 per cent per annum). The average per year contribution of the other productivity components is: climate adaptation efforts −0.31 per cent; scale-mix efficiency change +0.13 per cent and technical efficiency +0.05 per cent.

scholarly journals A Longitudinal Study of Cattle Productivity in Intensive Dairy Farms in Central Ethiopia

2021 ◽  
Vol 8 ◽  
Author(s):  
Rea Tschopp ◽  
Gizachew Gemechu ◽  
James L. N. Wood
Keyword(s):  
Animal Movement ◽  
Addis Ababa ◽  
Dairy Farms ◽  
Herd Size ◽  
Time Interval ◽  
Central Ethiopia ◽  
Dairy Animals ◽  
Optimal Productivity ◽  
Animal Performances ◽  
Large Farms

Ethiopia is witnessing an emergence of intensive urban dairy farming. The aims of this study were to capture cattle productivity parameters in selected intensive dairy farms in and around Addis Ababa (Central Ethiopia). The study is a pre-requisite and baseline for further economic analysis of diseases such as bovine tuberculosis (BTB) and to assess some of the current challenges faced by farm owners for optimal animal performances. Hence, a 3-year longitudinal observational study was conducted for the first time in Ethiopia, in 24 dairy farms with intensive husbandry, including a total of 1,705 dairy animals. Herd characteristics, animal movement, and productivity parameters (fertility, morbidity, mortality) were recorded in a herd-book. Whereas, half the farms saw their animals increase in number over the 3 years, 37.5% (mainly large farms) saw their herd size decrease. Offtakes accounted for 76.6% of all animal exits. One hundred and ninety (11.1%) animals died of natural causes. Highest mortality was observed in young stock (13.9%). Overall, diseases were the leading cause for death (57.5%). The majority of calves (69%) that died, did so within the first week of life. Mean calving interval (CI) was 483.2 days. Successful conception after artificial insemination (AI) was 66.1% with Addis Ababa and smaller farms faring worst. Mean time interval from calving to first service was 152 days. Date of birth to first service was 592.2 days and date of birth to first calving was 794.7 days. In conclusion, the study showed sub-optimal productivity performances in intensive dairy cattle and highlighted some of the current gaps and challenges in urban dairy productivity.

scholarly journals Measuring total factor productivity on Irish dairy farms: a Fisher index approach using farm-level data

2020 ◽  
Author(s):  
M. McCormack ◽  
F. Thorne ◽  
K. Hanrahan
Keyword(s):  
Total Factor Productivity ◽  
Dairy Farms ◽  
Factor Productivity ◽  
Quota System ◽  
Environmental Pressures ◽  
Agricultural Output ◽  
Level Data ◽  
Index Approach ◽  
Future Data ◽  
Index Measure

This paper presents a Fisher index measure of the total factor productivity (TFP) performance of Irish dairy farms over the period 2006–2016 using the Teagasc National Farm Survey (NFS) data. The removal of milk quotas in 2015 has led to an increase of over 30% in dairy cow numbers since 2010, and although suckler cow numbers have dropped slightly, the total number of cows in Ireland reached an all-time high of 2.5 million head in 2016. This large increase adds to the environmental pressures attributed to agricultural output and puts the focus firmly on how efficiently the additional agricultural output associated with higher cow numbers is produced. The primary purpose of this paper is to identify a standardised measure of the TFP performance of Irish dairy farms that can be routinely updated using Teagasc NFS data. We found that relative to 2010 the TFP of Irish dairy farms has increased by almost 18%; however, in one production year 2015, when milk quota was removed, the TFP measure increased by 7% and TFP continued to grow by 2.5% in the production year 2016. It would seem therefore that the removal of the European dairy quota system has resulted in a windfall gain for Irish dairy farmers but that productivity gains are continuing. Future data will be required to investigate the longer-term TFP performance of Irish dairy farms in the post-milk quota era.

Sign in / Sign up

Export Citation Format

Share Document