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The research investigated the determinants of Pakistan's exports by using time series data from 1990-2016. Certain econometric tests were also applied to check cointegration among variables. A unit root test was used to check the stationarity of selected variables. After the stationarity of the data, a vector error correction model is used to estimate the effect of regressors, like foreign direct investment, gross domestic product, employment level, and consumption expenditures on a dependent variable, i.e. exports in the short run. The result shows the positive relationships that foreign direct investment, gross domestic product and employment level have on exports, and the adverse impact of consumption expenditures on the dependent variable. The study uses Johansen's cointegration test for the long run. The results show that all the variables are co-integrated in the long run. It is suggested that the government should encourage foreign direct investment and gross domestic product, which would help accelerate Pakistan's exports. It is also suggested that whenever policymakers provide a trade policy, in particular, in relation to exports, then the adverse effect of exchange rate depreciation, external debt burdens, taxes, sanctions and protectionism should be quantified, and necessary measures be suggested so as to minimize any repercussions.

The research investigated the determinants of Pakistan's exports by using time series data from 1990–2016. Certain econometric tests were also applied to check cointegration among variables. A unit root test was used to check the stationarity of selected variables. After the stationarity of the data, a vector error correction model is used to estimate the effect of regressors, like foreign direct investment, gross domestic product, employment level, and consumption expenditures on a dependent variable, i.e. exports in the short run. The result shows the positive relationships that foreign direct investment, gross domestic product and employment level have on exports, and the adverse impact of consumption expenditures on the dependent variable. The study uses Johansen's cointegration test for the long run. The results show that all the variables are co‑integrated in the long run. It is suggested that the government should encourage foreign direct investment and gross domestic product, which would help accelerate Pakistan's exports. It is also suggested that whenever policymakers provide a trade policy, in particular, in relation to exports, then the adverse effect of exchange rate depreciation, external debt burdens, taxes, sanctions and protectionism should be quantified, and necessary measures be suggested so as to minimize any repercussions. ; Artykuł przedstawia wyniki badania determinant eksportu Pakistanu, dokonanego przy wykorzystaniu danych szeregów czasowych z lat 1990–2016. Zastosowano również wybrane testy ekonometryczne w celu sprawdzenia kointegracji zmiennych. Do sprawdzenia stacjonarności wybranych zmiennych wykorzystano test pierwiastka jednostkowego. Po sprawdzeniu stacjonarności danych stosuje się model wektorowej korekty błędem w celu oszacowania wpływu regresorów, takich jak: bezpośrednie inwestycje zagraniczne, produkt krajowy brutto, poziom zatrudnienia i wydatki konsumpcyjne, na zmienną zależną, tj. eksport, w krótkim okresie. Wynik badania pokazuje pozytywny wpływ bezpośrednich inwestycji zagranicznych, produktu krajowego brutto i poziomu zatrudnienia na eksport oraz niekorzystny wpływ wydatków konsumpcyjnych na zmienną zależną. W badaniu wykorzystano test kointegracji Johansena dla długiego okresu. Wyniki testu wskazują, że w długim okresie wszystkie zmienne są skointegrowane. Sugeruje się, że rząd powinien wspierać bezpośrednie inwestycje zagraniczne i wzrost produktu krajowego brutto, co przyczyniłoby się do wzrostu eksportu Pakistanu. Sugeruje się również aby prowadząc politykę handlową, w szczególności w odniesieniu do eksportu, zawsze ilościowo określać niekorzystny wpływ deprecjacji kursu walutowego, obciążenia długiem zewnętrznym, podatków, sankcji i protekcjonizmu, a także proponować niezbędne działania służące zminimalizowaniu możliwych negatywnych skutków.

Genome-editing (GE) is having a tremendous influence around the globe in the life science community. Among its versatile uses, the desired modifications of genes, and more importantly the transgene (DNA)-free approach to develop genetically modified organism (GMO), are of special interest. The recent and rapid developments in genome-editing technology have given rise to hopes to achieve global food security in a sustainable manner. We here discuss recent developments in CRISPR-based genome-editing tools for crop improvement concerning adaptation, opportunities, and challenges. Some of the notable advances highlighted here include the development of transgene (DNA)-free genome plants, the availability of compatible nucleases, and the development of safe and effective CRISPR delivery vehicles for plant genome editing, multi-gene targeting and complex genome editing, base editing and prime editing to achieve more complex genetic engineering. Additionally, new avenues that facilitate fine-tuning plant gene regulation have also been addressed. In spite of the tremendous potential of CRISPR and other gene editing tools, major challenges remain. Some of the challenges are related to the practical advances required for the efficient delivery of CRISPR reagents and for precision genome editing, while others come from government policies and public acceptance. This review will therefore be helpful to gain insights into technological advances, its applications, and future challenges for crop improvement.