July 2014 Table of Contents


Annexure 1: Indicator Description for DoL Activities



Download 0.81 Mb.
Page12/17
Date31.07.2017
Size0.81 Mb.
#25403
1   ...   9   10   11   12   13   14   15   16   17

Annexure 1: Indicator Description for DoL Activities



INDICATOR CODE: CCA-VT-4
SIMPLIFIED NAME OF INDICATOR: Stall Feeding for Improved Cattle Breeds
TYPE OF INDICATOR: Output
INDICATOR DESCRIPTION:
Number of farming households adopting stall feeding of improved cattle breeds with the intention of using integrated composting, biogas or dung briquette technologies is increasing in Bhutan
RATIONALE FOR INDICATOR:
There is a strong emphasis on milk production and processing at the household level in Bhutan, and butter and local cheese are also major components of Bhutanese diet. One strategy for improving milk production is the replacement of local breeds of cattle by improved breeds such as Jersey or Brown Swiss cattle that are stall-fed on farm. This change in the dairy production system has reduced open grazing and increased the potential for using captured cow dung for composting, energy production through biogas technology, and production of dung briquettes for cooking. As of 2012, there were 1050 households using biogas for cooking and heating, and 3360 farmers were practising stall-feeding of their cattle. This indicator contributes to environmental protection through the increased number of stall-fed cattle, reducing numbers of free-range cattle, and reducing use of imported LPG gas for cooking.





Historical Performance Achievement

(Before start-up of RNR-CCAP)



Projections for indicator (targets)

With RNR-CCAP support



Projections for indicator (targets) under remainder of 11th FYP but currently outside RNR-CCAP funding

Calendar Year +

2010

2011

2012

2013

2014

2015

2016

2017

2018

RNR-CCAP Year







T

T+1

T+2

T+3

T+4







Targets related to 11th FYP++







3360

3692

4688*

6016**

7510

9170

10000

Actual achieved




























+ CY is the year for which performance data are collected for budget release eligibility in July of the following year; in the case of process indicators under RNR-CCAP performance may be delayed as late as June

++ Targets are cumulative and relate to total stall-feeding households achieved in Bhutan (Including those in the four target RNR-CCAP Dzongkhags)

T is baseline year

T+1 is first year with a budget release in July

* Performance achievement used to trigger release of 25% of Variable Tranche for FY 2015-16

** Performance achievement used to trigger release of 20% Variable Tranche for FY 2016-17
ANALYSIS OF INDICATOR BEHAVIOUR:
There has been a year on year increase in households adopting stall-feeding of cattle. This trend is expected to continue to the end of the 11th FYP. Many Gewogs in the target Dzongkhags of the RNR-CCAP do not have stall-feeding systems, and there is an opportunity to expand this livestock production system whilst at the same time achieving climate change adaptation and mitigating the effects of release of CH4.
OTHER RELATED INDICATORS:
Total households adopting composting from cattle waste

Total households adopting biogas units

Reduction in importation of LPG gas for rural households

Number of households adopting off-season fodder cropping

Total number of un-improved breeds of cattle is decreasing

Total of milk produced in metric tonnes per year shows an increasing trend

Total commercial sales of milk in millions Ngultrum from milk produced by farming households in Bhutan is increasing
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:
Policy and Planning Division, Ministry of Agriculture and Forests, Thimphu, Bhutan
KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
TshewangTashi, Livestock Officer, Department of Livestock, Ministry of Agriculture and Forestry, Thimphu, Bhutan

Phone: +975 2 335399



E-mail: tshewangtashi@gmail.com
METHODOLOGY FOR INDICATOR MANAGEMENT:


Stage in Data Management

Description

Data type selection (what is data to be collected and its level of aggregation)


Primary data needed for this indicator are numbers of farmers adopting stall-feeding of improved breeds of cattle within Bhutan.

Data sources (what is the collection instrument)


A 100% sample of farming households is carried out at the end of every year in all 205 Gewog using a farming household questionnaire carried out by the Information Management Section (IMS) of the Department of Livestock. The final report is usually available by June in the following year, although draft statistics may be available earlier. At the moment stall-feeding records are not collected during the Annual Livestock Census, but data are available from an administrative database kept by the DOL; as of 2015, data will be captured from the Census for this indicator.


Data collection (who is responsible for collecting)

For the 100% annual Census, primary data are collected by the Livestock extension agents. The annual Census captures data for a calendar year (January-December). The enumeration period is generally between December and February, which is also the agricultural slack period when farmers are more available to answer questions. The DOL carries out an annual Census rather than a survey due to the fact that it needs to keep records on vaccination for the total livestock population.


Data processing (who carries out data entry and data processing and how)

Data entry is made into MS Access for processing and tabulation by staff at the IMS in the DOL; and the RNR Statistics Management Unit at the PPD provides quality control.



Data presentation (how)

Annual numbers of farmers with stall feeding of improved breeds of cattle are presented in the Annual Livestock Statistics Report and in the form of a historical timeline that is posted on the Country STAT-Bhutan website (currently managed and up-dated by FAO in Rome from 2012). Data from DOL are available for the period 2006 to 2013 giving a total of 8 years’ records.


Data reporting (by whom to whom)

Data on this indicator are reported in the Annual Livestock Statistics Report.
Since this indicator is also in the 11th FYP, the data should be also entered into the PlaMS system annually by the IMS at DOL after validation of data from the Dzongkhags.
The data are to be reported in the MOAF Annual Progress Report for the relevant financial year (FY).


Inputs required for data management (when and by whom)


Since the data are already being collected by the Department of Livestock as part of their regular programme, no major extra inputs are required for data management of this indicator. However, a centralised training of 7-10 days should be carried out for RNR Gewog staff and Dzongkhag staff in data enumeration and supervision. Field allowances should be provided to all RNR staff specifically for data collection under the annual livestock census; payment of allowances should be performance based following an evaluation of the quality of completed questionnaires.


Cost of verification


Verification and validation of the data quality are carried out by the IMS at DOL with support from the RNR Statistics Management Unit at PPD, who are also responsible for analysing trends. No extra costs are envisaged since these tasks are part of their regular duties. Ad hoc field checks may be requested from time to time if there appear to be problems with the quality of data from some geographical locations.


Data quality and risk assessment (who and how)

Potential problems with data quality are described in the Livestock Statistics 2009 Report. Many of the problems are due to the low literacy rate amongst farmers and their poor understanding of some concepts when enumeration takes place. Farmers do not keep their own records. Under reporting of livestock populations and production figures for taxation reasons is another source of error. Further statistical training is needed amongst staff throughout the DOL, especially in the IMS. Many errors in data presentation could be avoided by care in checking statistical tables, especially looking for misplaced decimal places, column headings errors, wrong number entry etc. The DOL needs strengthening with regard to information and statistics management, both in terms of additional staff and their training at the Information Management Section within DOL.

There may be risks in meeting the annual targets for numbers of stall feeding units, if there are major incidences of livestock disease in a particular year and farmers stop adopting stall-feeding technologies. However increasing trends between 2005 and 2012 have been stable due to expansion in distribution of improved breeds combined with better vaccination campaigns, improved animal health care, and improved fodder and nutrition levels.




ANY SUPPLEMENTARY INFORMATION:
Attach copies (or relevant extracts) of Annual Livestock Statistics reports to the file at CORRB for Indicator T2 for all relevant years. The Statistical Officer at PPD also tracks these data.

INDICATOR CODE: DOL2

SIMPLIFIED NAME OF INDICATOR: Bio-gas as alternative energy source for green technology

TYPE OF INDICATOR: Outcome

INDICATOR DESCRIPTION: Number of livestock farmers adopting Biogas facilities

RATIONALE FOR INDICATOR:
In the 11FYP one of the outcome indicator is to increase the milk production to 40000MT. Most of the milk production will be from the improved cattle. These cattle will have to be stall fed and reduce free gange grazing which leads to trapping cow dung for energy production through biogas technology.
As of 2012 there were 130 Nos. biogas established by farmers practising stall feeding in the country.
This indicator contributes to environment protection through increased number of stall-feeding of cattle positively reducing numbers of free-range cattle and reducing use of imported LPG gas energy for cooking.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:

Historical and Projected Trends for Bio-gas installed (Nos.)

[Up-dated on 11th April 2014]




Historical Performance Achievement (before start-up of 11FYP)

Projections for indicator (targets) under 11FYP


Fiscal Year

2011

2012

2013-14

2014-15

2015-16

2016-17

2017-18

11FYP Year




T-1

T

T+1

T+2

T+3

T+4

Targets (Bio-gas installed)




130

630

1130

1630

2130

2500

Actual achieved







500




0

0

0

Note : All figures in (Nos.)

ANALYSIS OF INDICATOR BEHAVIOUR:

There has been an average yearly increase between 2008 and 2012 of around 3360 farmers are noted to have stall feeding and about 130 bio gas plants established between 2012-2014. With the new policy of livestock commodity development in the 11th FYP, it is expected that there will be an increase in the improved cattle population Biogas plants establishment will increase to 2500 biogas plant by the end of 2018.

This will be through focus program implemented by National Centre for Animal Energy and Biogas Project established under the Department of Livestock.
OTHER RELATED INDICATORS:
Total number improved breed is increasing
INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:

Policy and Planning Division, Ministry of Agriculture and Forests, Thimphu, Bhutan


KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:
Mr. Tshewang Tashi, Livestock Officer, Department of Livestock, Ministry of Agriculture and Forestry, Thimphu, Bhutan

Phone: +975 2 335399



E-mail: tshewangtashi@gmail.com
METHODOLOGY FOR INDICATOR MANAGEMENT:

Stage in Data Management

Description

Data type selection (what is data to be collected and its level of aggregation)

Primary data needed for this indicator are Nos.of Bio-gas established Dzongkhag wise. This will be an Administrative Data.

Data sources (what is the collection instrument)

Data will be collected from the Dzongkhag through prescribed format provided by Biogas project.

Data collection (who is responsible for collecting)

Dzongkhag livestock officer (geog extension officers) will be responsible for collecting the data on Monthly/quarterly/yearly as required.

Data processing (who carries out data entry and data processing and how)

Bio-gas project under DoL will be responsible for data entry and data processing using MS access and excel sheets.


Data presentation (how)

Being administrative data, Data presentation will be done by Bio-gas quarterly report/annual report and DoL annual report

Data reporting (by whom to whom)

Data on this indicator will be reported to IMS, DoL through Bio-gas project and IMS, DoL and report to PPD, MoAF

Inputs required for data management (when and by whom)


Since the data are being collected by the Dzongkhag livestock staff (geog extension staff) as part of their regular programme, no major extra inputs are required for data management of this indicator. However, a centralised training of 7-10 days should be carried out for Gewog extension staff and Dzongkhag staff in Basic computer operation, Data management and basic statistical analysis. Supply of computers in the geogs where there are no computers

Cost of verification


Verification and validation of the data quality will be carried out at Dzongkhag level, RLDC level and finally at Biogas project as part of their regular programme.

Data quality and risk assessment (who and how)

This indicator being an administrative reporting there will be not be much risk.


ANY SUPPLEMENTARY INFORMATION:

Mapping Dzongkhag wise of Bio-gas plants installed
INDICATOR CODE: DoL3

SIMPLIFIED NAME OF INDICATOR: Improved pasture and winter fodder support

TYPE OF INDICATOR: Output

INDICATOR DESCRIPTION: Increased acreage of improved pasture and winter fodder to support individual, groups and commercial farmers (Acres)

RATIONALE FOR INDICATOR:

There is a strong emphasis on milk production in the country and farmers are keeping high yielding cattle breeds which are not taken for open grazing but stall fed. This change in the dairy production system has reduced open grazing and warrants increase in the improved pasture and winter fodder for the stall-fed cattle.


As of 2012 there were 16628 acres of improved pasture and winter fodder was established supporting 3360 farmers practising stall feeding in the country.
This indicator contributes to environment protection through increased number of stall-feeding of cattle positively reducing numbers of free-range cattle adding more nutrition.
INDICATOR HISTORICAL TRENDS AND FUTURE PROJECTIONS:


Historical and Projected Trends for Improved Pasture and Winter Fodder (Acres)

[Up-dated on 11thApril 2014]

Historical Performance Achievement (before start-up of 11FYP)

Projections for indicator (targets) under 11FYP


Fiscal Year

2011

2012

2013-14

2014-15

2015-16

2016-17

2017-18

11FYP Year




T-1

T

T+1

T+2

T+3

T+4

Targets (Improved pasture and Winter Fodder)




16628

18508

20388

22268

24148

26027

Actual achieved























ANALYSIS OF INDICATOR BEHAVIOUR:

There has been an average yearly increase between 2008 and 2012 of around 3360 framers are noted to have stall feeding and about 130 bio gas plants established between 2012-2014. With the new policy of livestock commodity development in the 11th FYP, it is expected that the stall feeding and Biogas plants establishment will increase to 5500 stall feeding units and 2500 biogas plant by the end of 2018.

With the increase in the stall feeding and number of biogas plants in the 11thFYP, it is expected that the Improved pasture and winter fodder support will increase from 16628 Acres in 2012 to 26027 Acres in 2018.

This will be through focus program implemented by National Centre for Animal Nutrition established under the Department of Livestock.


OTHER RELATED INDICATORS:

Number of Improved cattle



INSTITUTION RESPONSIBLE FOR INDICATOR OVERSIGHT:

Policy and Planning Division, Ministry of Agriculture and Forests, Thimphu, Bhutan


KEY PERSON RESPONSIBLE FOR INDICATOR MANAGEMENT:

Mr. TshewangTashi,Livestock Officer, Department of Livestock, Ministry of Agriculture and Forestry, Thimphu, Bhutan

Phone: +975 2 335399

E-mail: tshewangtashi@gmail.com


METHODOLOGY FOR INDICATOR MANAGEMENT:


Stage in Data Management

Description

Data type selection (what is data to be collected and its level of aggregation)

Primary data needed for this indicator are Increased acreageDzongkhag wise in the improved pastureand winter fodder development support

Data sources (what is the collection instrument)

Data will be collected from the Dzongkhags through prescribed format

Data collection (who is responsible for collecting)

Dzongkhag livestock officers will be responsible for collecting the data on monthly/quarterly/annual and route it through RLDC to NCAN.

Data processing (who carries out data entry and data processing and how)

NCAN will be responsible for data entry and data processing using MS access or any other software


Data presentation (how)

Data presentation will be done through NCAN quarterly report/annual report and DoL annual report

Data reporting (by whom to whom)

Data on this indicator will be reported by NCAN to IMS, DoL and IMS, DoL report to PPD, MoAF

Inputs required for data management (when and by whom)


Since the data are being collected by the Dzongkhag livestock staff (geog extension staff) as part of their regular programme, no major extra inputs are required for data management of this indicator. However, a centralised training of 7-10 days should be carried out for Gewog extension staff and Dzongkhag staff in Basic computer operation, Data management and basic statistical analysis. Supply of computers in the geogs where there are no computers

Cost of verification


Verification and validation of the data quality are carried out at Dzongkhag level, RLDC level and finally at NCAN

Data quality and risk assessment (who and how)

Potential problems with data quality are described in the Livestock Statistics 2009 Report. Many of the problems are due to the low literacy rate amongst farmers and their poor understanding. Farmers do not keep their own records. Further statistical training is needed amongst staff throughout the DOL, especially in the IMS. Many errors in data presentation could be avoided by care in checking statistical tables, especially looking for misplaced decimal places, column headings errors, wrong number entry etc. The DOL needs strengthening with regard to information and statistics management, both in terms of additional staff and their training at the Information Management Section within DOL.



ANY SUPPLEMENTARY INFORMATION:



Download 0.81 Mb.

Share with your friends:
1   ...   9   10   11   12   13   14   15   16   17




The database is protected by copyright ©ininet.org 2024
send message

    Main page