Search arXivSearch

arXiv · 2607.03793

Sectoral contributions to sustainable development in Turkiye: Which sector is more effective?

Abstract

Enhancing sustainable development performance requires an assessment of the relative roles of economic sectors in this process. However, comparative empirical evidence regarding the sectoral structure of sustainable development is limited, particularly for Turkiye. Therefore, this study examines the long-run relationship between sectoral structure and sustainable development in Turkiye by focusing on agriculture, industry, construction, and services. The empirical analysis uses annual data for the period 2000-2022 and proceeds in three steps. First, the stationarity properties of the variables are examined using ADF, PP, and Zivot-Andrews unit root tests. The Johansen cointegration test is then applied to determine whether a long-run equilibrium relationship exists among the variables. Finally, long-run coefficients are estimated using the DOLS estimator, while the FMOLS estimator is used as a robustness check. The findings show that all sectoral shares are positively associated with the sustainable development index in the long run. Based on the DOLS results, the services sector has the highest coefficient at 0.882, followed by the agriculture, industry, and construction sectors with coefficients of 0.302, 0.265, and 0.193, respectively. The FMOLS robustness check supports the DOLS long-run estimates. The study contributes to the literature by providing comparative sector-level evidence for Turkiye. It also highlights that sustainable development strategies should not rely on a single sector, but should be designed through balanced and sector-specific policies that account for sectoral differences.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Emre Akusta. 2026-07-04. Sectoral contributions to sustainable development in Turkiye: Which sector is more effective?. https://doi.org/10.30855/gjeb.2026.12.2.014

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Computing Endogenous Transformations in Processing Networks: A Dynamic Calibration Approach

Understanding how supply chains endogenously transform requires a parametric model of processing networks with non-neutral substitution elasticities. While the Cascaded CES production function provides a rigorous framework, dynamically calibrating its structural parameters from time-series data constitutes a highly non-convex inverse optimization problem. Since enforcing strict microeconomic concavity renders standard monolithic approaches computationally intractable, we propose a novel structure-exploiting algorithm to bypass this limitation. By leveraging the physical upstreamness topology of the network, our hybrid heuristic effectively breaks the curse of dimensionality inherent in economywide processing networks. Applying this framework to U.S. time-series data, we provide a scalable computational engine to fully endogenize complex supply-chain transformations, ultimately uncovering the elastic origins of asymmetric macroeconomic tail risks.

econ.GN

Access to Live AI Advice and Behavior Under Risk: An Incentivized Experiment

Generative AI has become an everyday advisor, and the systems people consult are live and interactive, not pre-scripted. We ask whether access to such a system changes behavior under risk. In an incentivized experiment (N = 158), participants made lottery choices with an optional decision aid presented as a conventional pre-written tool, a live one-shot AI, or a live interactive AI they could query, with information format held equivalent across conditions. Risk preferences are elicited via DOSE. We find no evidence that access to a live AI advisor changes risk aversion.

econ.GN

Screening Out the Needy: The Effects of SNAP Work Requirements

We examine the effectiveness of work requirements as a screening device in the Supplemental Nutrition Assistance Program (SNAP). Work requirements for "able-bodied adults without dependents" were suspended after the Great Recession and gradually reinstated across counties and states in the 2010s. Using linked administrative SNAP and employment data from five states and a triple-differences design, we find that work requirements reduce SNAP participation by seven percent without increasing labor supply and disproportionately screen out low-income individuals. We develop a welfare framework to interpret these results and find that the social costs of work requirements exceed budget savings.

econ.GN