Romeo S. Recide Director Bureau of Agricultural Statistics Department of Agriculture Philippines Romeo S. Recide Director Bureau of Agricultural Statistics Department of Agriculture Philippines

Outline  Introduction  Objectives and Processes in Developing the RSSIS  Issues and Constraints in Pursuing the RSSIS  Managing the RSSIS  Developing the CLSIS  Future Directions  Introduction  Objectives and Processes in Developing the RSSIS  Issues and Constraints in Pursuing the RSSIS  Managing the RSSIS  Developing the CLSIS  Future Directions

Rural Sector Statistical Info. System (RSSIS)  A comprehensive, integrated, well-managed and sustainable statistical system for the rural sector  Intended to aid government:  In developing appropriate strategies  Implementing policies and programs  Monitoring the progress of poverty reduction in the rural areas.  A comprehensive, integrated, well-managed and sustainable statistical system for the rural sector  Intended to aid government:  In developing appropriate strategies  Implementing policies and programs  Monitoring the progress of poverty reduction in the rural areas.

Objectives of RSSIS  Make available all the important and relevant statistical indicators that are required in monitoring rural welfare and the progress in poverty reduction in the country  Envisioned to be the Philippines’ version of the World Bank’s Rural Profiles  Make available all the important and relevant statistical indicators that are required in monitoring rural welfare and the progress in poverty reduction in the country  Envisioned to be the Philippines’ version of the World Bank’s Rural Profiles

Processes: Assessment of Data Systems Activities  review of the basic mandates of major statistical agencies;  review of existing data that normally carry rural – urban disaggregation;  Discussions with major data producers and users of rural statistics. Activities  review of the basic mandates of major statistical agencies;  review of existing data that normally carry rural – urban disaggregation;  Discussions with major data producers and users of rural statistics. The first critical step towards developing the RSSIS

Processes: Revisiting the Agr’l Indicators System (AIS) The Agricultural Indicators System (AIS) would be subsystem of the envisioned RSSIS. RSSIS rural sector RSSIS rural sector AIS Agricultural sector AIS Agricultural sector Philippine Setting:

Processes: Drafting the RSSIS Framework  Built on the Agri. Indicators System (AIS) to avoid possible duplication of statistical outputs of the BAS  Designed to capture the urban-rural sector distinction  To cut across economic, social and financial concerns  Built on the Agri. Indicators System (AIS) to avoid possible duplication of statistical outputs of the BAS  Designed to capture the urban-rural sector distinction  To cut across economic, social and financial concerns

Drafting the RSSIS Framework AgricultureSector Population & Demography Literary & Basic Educ Basic Educ. Healthy Life Personal & Comm. Security Nutrition & Food Security Public Expenditure & Finance EconomicWell-being Employment & Livelihood Shelter & Housing Amenities Mobility Participation & Empowerment Rural Poverty

Drafting the RSSIS Framework Structure & Resources Growth & Performance Production & Productivity Access to Technological Info Prices & Marketing Information External Trade Agrarian Reform Investment & Finance AgriculturalSector

Number of indicators by module of the RSSIS

Number of indicators by module of the RSSIS (cont…)

Processes: Training of BAS staff on RSSIS modules  BAS mandate focused on agriculture  RSSIS cuts across much wider range of concerns  Training in the form of lecture series on RSSIS modules was conducted  BAS mandate focused on agriculture  RSSIS cuts across much wider range of concerns  Training in the form of lecture series on RSSIS modules was conducted

Training of BAS Technical staff on RSSIS Modules

Processes: Consultations  Presented to data producers and users  Generate inputs and insights from stakeholders.  Internal as well as external consultations  Formal and informal  Presented to data producers and users  Generate inputs and insights from stakeholders.  Internal as well as external consultations  Formal and informal

Consultations on the RSSIS

Dev’t of computer-based indicator system management  Developed applications programs to manage databases and generate indicators

Issues and Constraints in Pursuing RSSIS  What is rural?  Identifies urbanity conditions and takes rural as complement  Agriculture or rural?  Taken as almost synonymous  Linking with source agencies  Achieving cohesiveness in a decentralized statistical system  What is rural?  Identifies urbanity conditions and takes rural as complement  Agriculture or rural?  Taken as almost synonymous  Linking with source agencies  Achieving cohesiveness in a decentralized statistical system

Managing the RSSIS  BAS to play central role  Build on the AIS to include socio-economic, finance and infrastructure concerns  Create an inter-agency Advisory Steering Committee  Organize an internal RSSIS Management Committee  BAS to play central role  Build on the AIS to include socio-economic, finance and infrastructure concerns  Create an inter-agency Advisory Steering Committee  Organize an internal RSSIS Management Committee

Developing the CLSIS  RSSIS provides national level indicators  In a devolved governance regime, a community level information system is needed  Pilot development in four provinces  Strong technical and social preparation  RSSIS provides national level indicators  In a devolved governance regime, a community level information system is needed  Pilot development in four provinces  Strong technical and social preparation

Developing the CLSIS (cont...)  CLSIS gathered, organized and analyzed household level demographic data, and a report on agricultural and fishery activities

Training of LGU staff on data collection

BAS field staff interviewing villager

LGU staff interviewing villagers

Training on CLSIS Data Processing

Training of LGU staff on Data Analysis

Future Directions  Looking at indicator systems at two extreme levels: macro RSSIS and micro CLSIS  Maintenance of RSSIS  Maintenance of CLSIS  Complementation between LGUs and national agencies  Looking at indicator systems at two extreme levels: macro RSSIS and micro CLSIS  Maintenance of RSSIS  Maintenance of CLSIS  Complementation between LGUs and national agencies

List of indicators by area of concern, RSSIS

Muchas Gracias!