Informal Economy and Agricultural Productivity in Bangladesh: a Time Series Analysis

• Autorzy: Subrata Saha , Sanjoy Kumar Saha

Warianty tytułu

Gospodarka nieformalna a produktywność rolnictwa w Bangladeszu - analiza szeregów czasowych

• Języki publikacji: EN

Abstrakty

EN

The aim of the study was to investigate the relationship between the informal economy and agricultural productivity in Bangladesh over a 25-year period from 1993 to 2018. While the impact of the black market on the economy is a well-studied topic, its implications for the agricultural sector in this specific country context was less explored. By controlling structural transformation, trade, and foreign direct investment (FDI) in agriculture, the authors employ autoregressive distributed lag (ARDL) using Kripfganz and Schneider's (2018) approximations, as well as fully modified ordinary least square (FMOLS) and feasible generalized least square (FGLS) techniques. The results reveal that informality initially hampers agricultural productivity in the short term due to reduced government revenue, but in the long run, it acts as an active social protection system, fostering informal employment and providing essential amenities. Although the study's time span limits the investigation to this specific period, it serves as a crucial attempt to assess the impact of informality on agriculture in Bangladesh, highlighting the need for cautious consideration of both the benefits and drawbacks of the informal sector in enhancing agricultural productivity. Policymakers in Bangladesh should act cautiously, acknowledging the nuances of the informal sector's influence on agriculture to leverage its potential for sustainable economic growth.(original abstract)

Celem badania było zbadanie związku między gospodarką nieformalną a produktywnością rolnictwa w Bangladeszu na przestrzeni 25 lat od 1993 do 2018 r. Mimo tego, że wpływ sektora nieformalnego na gospodarkę został dogłębnie zbadany, jego implikacje dla sektora rolnego w tym konkretnym kraju były mniej zbadane. Kontrolując transformację strukturalną, handel i bezpośrednie inwestycje zagraniczne (BIZ) w rolnictwie, zastosowano opóźniony rozproszony model autoregresyjny (ARDL) przy użyciu przybliżeń Kripfganza i Schneidera (2018), a także całkowicie zmodyfikowanej zwykłej metody najmniejszych kwadratów (FMOLS) i wykonalnej uogólnionej metody najmniejszych kwadratów (FGLS). Wyniki wskazują, że gospodarka nieformalna początkowo ogranicza produktywność rolnictwa w krótkim okresie ze względu na zmniejszone dochody rządowe, ale w dłuższym okresie działa jako aktywny system ochrony socjalnej, wspierając nieformalne zatrudnienie i zapewniając podstawowe udogodnienia o charakterze codziennym. Mimo że zakres czasowy badania ogranicza badanie do tego konkretnego okresu, służy ono jako kluczowa próba oceny wpływu sektora nieformalnego na rolnictwo w Bangladeszu, podkreślając potrzebę ostrożnego rozważenia zarówno korzyści, jak i wad tego sektora w zwiększaniu wydajności rolnictwa. Istotne jest, aby decydenci w Bangladeszu postępowali ostrożnie, uwzględniając niuanse wpływu nieformalnego sektora na rolnictwo, i wykorzystując jego potencjał do zrównoważonego wzrostu gospodarczego.(abstrakt oryginalny)

Słowa kluczowe

EN

Informal economy; Agriculture productivity; Autoregression models; Cointegration

PL

Gospodarka nieformalna; Produktywność rolnictwa; Modele autoregresji; Kointegracja

• Czasopismo: Zagadnienia Ekonomiki Rolnej
• Rocznik: 2023
• Numer: nr 3
• Strony: 91--113

Twórcy

autor

Subrata Saha

• Mawlana Bhashani Science and Technology University

autor

Sanjoy Kumar Saha

• Mawlana Bhashani Science and Technology University

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Identyfikatory

DOI

doi.org/10.30858/zer/171498