Agricultural Census, 2010 - Montenegro

Abstract
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The main concept of the Census of Agriculture (hereinafter referred to as the ‘Census’), organisation and methodology is based on the experiences of countries in the region that have carried out the census of agriculture, and own experiences from the previously carried out censuses, as well as on the methodology and recommendations of FAO World Programme for the Census of Agriculture 2010, taking into considerations specific characteristics of Montenegro. The main objective of the Census is to provide accurate, comprehensive and internationally comparable data on number of family agricultural holdings, area of total land used for agriculture, livestock by type and categories, agro-technical measures, agricultural machinery, etc.

Geographic coverage
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National coverage

Analysis unit
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Households

Universe
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The statistical unit was the agricultural holding, defined as a single unit, both technically and economically, which has a single management and which undertakes agricultural activities and meets certain minimum thresholds of activity which are similar to the EU and Council Regulation (EC) No. 1166/2008. Two types of holdings were distinguished in the AC 2010: (i) family agricultural holdings (holdings in the household sector); and (ii) business entities (holdings in the non-household sector).

Kind of data
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Census/enumeration data [cen]

Sampling procedure
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1. Frame
The census frame was established based on a listing operation and using the available information from 2003 Census of Population, Dwellings, and Households. The listing operation helped to enumerate all households, and screen the agricultural production households that met the criteria applicable to holdings. The AC 2010 was conducted using complete enumeration of the target population.

Mode of data collection
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Face-to-face [f2f]

Research instrument
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Three data collection forms were used for the AC 2010:
· Form P-1 (Household Listing Form) was a listing of all households, aimed at identifying family agricultural holdings;
· Form P-2 for the enumeration of family agricultural holdings; and
· Form P-3 for the enumeration of business entities.

Questionnaire coverage:

1. Land resources
2. Livestock resources
3. Agricultural production
4. Agro-technical measures
5. Facilities within holding
6. Organic agriculture
7. Agricultural machinery and equipment
8. Persons engaged in agricultural production
9. Other useful activities linked with holding

The census questionnaires covered all 16 core items recommended in the WCA 2010.

Cleaning operations
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a. DATA PROCESSING AND ARCHIVING
For data entry, MONSTAT prepared an application called ENTRY. During data entry, statisticians controlled the accuracy of the entire process from the questionnaire on the application. Data entry took one month and a half. After entering, the material was controlled. To control the data in MONSTAT, an application called CONTROL was elaborated; this detected logical and arithmetical errors at questionnaire level. For the updating process, MONSTAT elaborated an application called CORRECTION. The application enabled viewing the errors in the questionnaire, as well as the type of error in the survey. The correction of the material was performed by MONSTAT employees. The complete software was done in the IT department of the MONSTAT. The application was made in Visual Basic 6.0 and the database was SQL Server 2000.

b. CENSUS DATA QUALITY
A PES was conducted immediately after the end of the AC enumeration, from 25 June to 5 July 2010. The PES was an effort to assess data quality and was carried out in EAs and municipalities selected at random. The PEC took place using special questionnaires, with a limited number of variables.'

Data appraisal
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The preliminary results of the AC 2010 were published in July 2010 in the form of a press release (only the number of holdings and UAA for farm agricultural holdings). The final results were published seven months after the release of preliminary results.2 The results of the AC 2010 are available in the form of tables and publications on the MONSTAT website.

摘要
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农业普查（以下简称‘普查’）的主要概念、组织和方法基于本区域实施过农业普查的国家的经验，以及先前实施普查的自身经验，同时参考了联合国粮农组织2010年农业普查世界计划的方针和建议，并考虑了黑山的特定特征。普查的主要目标是提供准确、全面且与国际可比的关于家庭农业经营数量、农业总用地面积、按类型和类别的牲畜、农业技术措施、农业机械等方面的数据。
地理覆盖范围
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全国范围
分析单位
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家庭
总体
统计单位是农业经营，定义为在技术和经济上均为单一单位的经营实体，具有单一的管理机构，并从事农业活动，满足与欧盟及理事会法规（EC）第1166/2008号类似的一定活动阈值。2010年农业普查（AC 2010）区分了两种类型的经营：（i）家庭农业经营（家庭部门中的经营）；（ii）商业实体（非家庭部门中的经营）。
数据类型
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普查/登记数据 [cen]
抽样程序
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1. 框架
普查框架基于清单操作和2003年人口、住宅和住户普查的可用信息建立。清单操作有助于统计所有家庭，并筛选出符合经营标准的农业生产家庭。AC 2010采用了对目标人口的全面普查。
数据收集方式
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面对面 [f2f]
研究工具
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AC 2010使用了三种数据收集表格：
· 表格P-1（家庭清单表）是对所有家庭的清单，旨在识别家庭农业经营；
· 表格P-2用于家庭农业经营的登记；以及
· 表格P-3用于商业实体的登记。
问卷覆盖范围：
1. 土地资源
2. 牲畜资源
3. 农业生产
4. 农业技术措施
5. 经营实体内的设施
6. 有机农业
7. 农业机械和设备
8. 从事农业生产的个人
9. 与经营实体相关的其他有用活动
普查问卷涵盖了2010年世界农业普查（WCA 2010）推荐的所有16个核心项目。
数据清洗操作
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a. 数据处理和存档
MONSTAT为数据录入准备了名为ENTRY的应用程序。在数据录入过程中，统计人员控制了从应用程序上的问卷到整个过程的准确性。数据录入耗时一个半月。录入后，对材料进行了核查。为了在MONSTAT中控制数据，制定了一个名为CONTROL的应用程序；该程序在问卷层面检测逻辑和算术错误。对于更新过程，MONSTAT制定了名为CORRECTION的应用程序。该应用程序允许查看问卷中的错误，以及调查中的错误类型。材料的校正是由MONSTAT员工完成的。完整的软件在MONSTAT的IT部门完成。应用程序是用Visual Basic 6.0编写的，数据库是SQL Server 2000。
b. 普查数据质量
普查登记结束后，立即于2010年6月25日至7月5日进行了预检评估（PES），以评估数据质量。PES是在随机选择的地区行政单位（EAs）和市镇进行的。PES使用特殊问卷，变量数量有限。
数据评估
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AC 2010的初步结果于2010年7月以新闻发布的形式公布（仅公布农业家庭经营的数量和单位面积农业用地面积）。最终结果在初步结果发布后七个月公布。2 AC 2010的结果以表格和出版物形式在MONSTAT网站上提供。