Good Growth Plan 2023

Algeria, 2022 - 2023

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Reference ID

DZA_2022-2023_GGP-P_v01_M_v01_A_ESS

Producer(s)

Syngenta

Collection(s)

FAO - Food and Agriculture Microdata Catalog

Metadata

Documentation in PDF DDI/XML JSON

Study website

Created on

Oct 30, 2024

Last modified

Oct 30, 2024

Page views

149

Identification

Survey ID number

DZA_2022-2023_GGP-P_v01_M_v01_A_ESS

Title

Good Growth Plan 2023

Abbreviation or Acronym

GGP-P 2023

Country/Economy

Name	Country code
Algeria	ALG

Study type

Agricultural Survey [ag/oth]

Abstract

Syngenta is committed to increasing crop productivity and to using limited resources such as land, water and inputs more efficiently. Since 2014, Syngenta has been measuring trends in agricultural input efficiency on a global network of real farms.
The Good Growth Plan dataset shows aggregated productivity and resource efficiency indicators by harvest year.

Kind of Data

Sample survey data [ssd]

Unit of Analysis

Agricultural holdings

Scope

Notes

Data was collected on the usage of inputs, such as crop protection products, chemical fertilizer, seeding rates, labor hours, machinery usage hours, and marketable crop yield on a per hectare basis.

Coverage

Geographic Coverage

National Coverage

Producers and sponsors

Primary investigators

Name
Syngenta

Sampling

Sampling Procedure

A. Sample design
Farms are grouped in clusters, which represent a crop grown in an area with homogenous agro- ecological conditions and include comparable types of farms. The sample includes reference and benchmark farms.

B. Sample size
Sample sizes for each cluster are determined with the aim to measure statistically significant increases in crop efficiency over time. This is done based on target productivity increases and assumptions regarding the variability of farm metrics in each cluster. The smaller the expected increase, the larger the sample size needed to measure significant differences over time. Variability within clusters is assumed based on public research and expert opinion. In addition, growers are also grouped in clusters as a means of keeping variances under control, as well as distinguishing between growers in terms of crop size, region and technological level. A minimum sample size of 20 interviews per cluster is needed. The minimum number of reference farms is 5 of 20. The optimal number of reference farms is 10 of 20 (balanced sample).

Weighting

No weighting.

Data collection

Dates of Data Collection

Start	End
2022	2023

Mode of data collection

Computer Assisted Personal Interview [capi]

Data Access

Confidentiality

Is signing of a confidentiality declaration required?	Confidentiality declaration text
yes	The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO

Access conditions

Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:

The micro dataset will only be used for statistical and/or research purposes;
Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO;
The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.

Citation requirements

The Good Growth Plan Progress Data - Productivity 2022-2023. Dataset downloaded from https://microdata.fao.org.

Disclaimer and copyrights

Disclaimer

The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses

Contacts

Name	Affiliation	Email
The Good Growth Plan team	Syngenta	goodgrowthplan.data@syngenta.com

Metadata production

DDI Document ID

DDI_DZA_2022-2023_GGP-P_v01_M_v01_A_ESS_FAO

Producers

Name	Abbreviation	Affiliation	Role
ESS Data Dissemination Team	ESS	Food and Agriculture Organization	Metadata producer
Development Economics Data Group	DECDG	The World Bank	Metadata adapted for World Bank Microdata Library

Metadata version

DDI Document version

Identical to a metadata (ALG_2022-2023_GGP-P_V01_EN_M_v01_A_ESS) published on FAO microdata repository (https://microdata.fao.org/index.php/catalog). Some of the metadata fields have been edited.

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