Nzwisisika zvoupfumi ongororo

Zvakaoma kuona basa zvoupfumi kuongorora musangano uye kutarisirwa munhu ano zvebhizimisi kana yakasimba. The kupfuura kwakakwana shanduro yaro vanyatsowana nzwisisika zvoupfumi pachisara izvo anobvumira kuti Zvakanyanya Kunaka Panguva Yepamuviri zvisarudzo panyaya idzi, kuti vagare vaine kunonyanyisa kushanda. Mashoko chikuru munguva ipi zvidzidzo zvoupfumi vakaongorora kuti:

- kuenzanisa bhizimisi waivako nezvawagara nguva, kuronga uye ramangwana zviratidzo, uye mamwe mabhizimisi;

- pokugadzwa chinonyanya kukosha zvinhu zviri kuchinja upfumi mamiriro ezvinhu zvebhizimisi;

- kuona zvikanganiso uye Kukundikana basa sarudzo kuti basa imwe kambani.

Content, zvinangwa uye nhungamiro, unosanganisira kunzwisisa zvoupfumi kuongorora zvinotevera:

- mukati ndivo ruzivo uye nhaka mashoko zvoupfumi hwakavimbika zvinopa nzwisiso kuongorora nyaya. Izvi rinobvumira kuita zvisarudzo zvakanaka kuti zvebhizimisi zvakanaka kuti vanyatsokwanisa kuongorora ayo urongwa mubhizimisi, kuwana simba makwapa uye purazi reserves tisanyanya mananara.

- mabasa kuti vagadzirise kunzwisisa kwoupfumi pachisara zvingaderedzwa kugadzirisa zvinotevera matambudziko:

a) kudzidza zvose zvinhu kukanganisa mabasa zvebhizimisi uye kusarudza zvakanaka uye kunaka migumisiro mabasa aya;

b) ane chinangwa tinyatsonzwisisa yebhizimisi mabasa zvebhizimisi;

c) substantiation chesayenzi uye unyanzvi esayenzi basa kambani zvirongwa;

g) kutsvaka uye kuziva yomunyika matura boka kana kambani kukura.

Kazhinji, huru zvinyorwa zvinoshandiswa kunzwisisa pachisara vari kushanda data, Statistical uye kuti ndizvidavirire.

Zvose migumisiro dzemabhizimisi mabasa, zviratidzo zvemari zviri zvebhizimisi huri mitsara mari. Hazvina kwawakananga uye waivako maitiro zvabuda izvi.

Chinonyanya zvakwo nepakati jira, uyewo gwaro, sezvo mubereko uye kurasikirwa nhoroondo. Kuita CEA anodawo mashoko ose Statistical mishumo. Nokuti KEA mumwe kuzoudza kukwana, mutemo unoti kuronga uye kuita nemitemo zvebhizimisi, rinoshandiswawo mitemo, zvekushandisa mapepa, zvoupfumi zviridzwa, mashoko munhau, mashoko ari Databases pakati Data State Statistics Committee.

Pane chinhu empirical muitiro, izvo achiitiswa misoro zvoupfumi kuongorora zvavakanga vachida kuita, kuitika anotevera:

1etap: rokutanga characterization basa mubasa ezvinhu zvavo zviratidzo. The rokutanga kwemamiriro Danho ichi chakavakirwa hwakanyatsorwisa shoma dzinokosha zviratidzo.

Stage 2 - zvakawanda pachisara zvinosanganisira kuongorora zviri muzvigadzirwa chechetere wekambani, mari, magariro tsvakurudzo, vatorwa zveupfumi, dzinongoitika zvakatipoteredza, dzevanhu pfuma, okutengesa chinzvimbo, profitability, uchitikurudzira dzemari.

Stage 3 - rine misoro tinyatsonzwisisa kubudirira bhizimisi kwacho uye waivako

The zita pacharo - misoro zvoupfumi kuongorora - kunosanganisira application mukati maro kupfuura siyana akagadzirwa nenzira uye zvakataurwa Analytical basa. Zvinokwanisika kungodudza zvishomanana.

Enderana kusvika kunobva pakuti mabasa basa boka kana makambani vaiona panyaya yacho STRUCTURAL uye dzichipfekeka kurongwa interconnectedness pakati madhipatimendi yayo yose uye zvine musoro musoro urongwa hwavo ezvoupfumi mabasa.

Mabasa uye manyuko munzvimbo dzakadai misoro zvoupfumi kuongorora mari kuita, zvinosanganisira kudzidza mari chokupika zvavakanga vachida kuita, ari Implementation pokugara uye anodiwa kwevari anoridzora, muchidzidza ngaabvumire purofiti.

The maumbirwo ine misoro kudzidza uye kuongorora dzimwe nzvimbo. Ava, sezvo kuongorora yakatarwa yesangano, avo kufamba uye mamiriro, kushanda zvakanaka mashandisiro, kuongorora zvinhu uye zvokudya kwavari, kuongorora basa mari uye zvimwe zvinhu zvizhinji.